Journals
M. Vameghestahbanati, L. Kingdom, E. Hoffman, M. Kirby, N. Allen, E. Angelini, A. Bertoni, Q. Hamid, J. Hogg, D. Jacobs Jr, A. Laine, F. Maltais, E. Michos, C. sack, D. Sin, K. Watson, A. Wysoczanksi, D. Couper, D. Cooper, M. Han, P. Woodruff, W. Tan, J. Bourbeau, R. G. Barr, B. Smith, “Airway tree caliber heterogeneity and airflow obstruction among older adults", Journal of Applied Physiology, accepted 2024
S. N. Naik, R. Forlano, P. Manousou, R. Goldin, E. D. Angelini, “Fibrosis severity scoring on Sirius red histology with multiple-instance deep learning”, Biological Imaging, Vol. 3, pp. e17, 2023.
E. D. Angelini, J. Yang, P. P. Balte, E. A. Hoffman, A. Manichaikul, Y. Sun, W. Shen, J. H.M. Austin, N. B. Allen, E. R. Bleecker, R. Bowler, M. H. Cho, C. S. Cooper, D. Couper, M. Dransfield, C. K. Garcia, M. K Han, N. N. Hansel, E. Hughes, D. R. Jacobs, S. Kasela, J. D. Kaufman, J. S Kim, T. Lappalainen, J. Lima, D. Malinsky, F. J Martinez, E. C Oelsner, V. E. Ortega, R. Paine, W. Post, T. Pottinger, M. R Prince, S. S. Rich, E. K. Silverman, B. M. Smith, A. J Swift, K. E. Watson, P. G. Woodruff, A. F. Laine, R. G. Barr, “Pulmonary Emphysema Subtypes Defined by Unsupervised Machine Learning on Computed Tomography Scans”, Thorax, 2023.
M. Vameghestahbanati, C. Sack, A. Wysoczanski, E. Hoffman, E. Angelini, N. Allen, A. Bertoni, J. Guo, D. Jacobs, J. Kaufman, A. Laine, C.-L. Lin, D. Malinsky, E. Michos, E. Oelsner, S. Shea, K. Watson, A. Benedetti, R. G. Barr, B. Smith, ”Association of dysanapsis with mortality among older adults”, European Respiratory Journal, Vol. 61, No. 6, 2023.
Z. Huang, Y. Gan, T. Lye, H. Zhang, A. Laine, E. Angelini, C. Hendon, “Cardiac Adipose Tissue Segmentation via Image- Level Annotations”, IEEE Journal of Biomedical and Health Informatics (JBHI), pp. 1-12, 2023.
R. Mehta, A. Filos A, [..] E. Angelini, [..], S. Bakas, Y.Gal, T. Arbel, "QU-BraTS: MICCAI BraTS 2020 Challenge on quantifying uncertainty in brain tumor segmentation-analysis of ranking scores and benchmarking results", Journal of Machine Learning for Biomedical Imaging (MELBA), 2022.
X. Zhang, E. D.Angelini, F. S.Haghpanah, A. F.Laine, Y. Sun, G. T.Hiura, S. M.Dashnaw, M. R. Prince, E. A.Hoffman, B. Ambale-Venkatesh, J. A.Lima, J. M.Wild, E. W. Hughes, R. G. Barr, W. Shen, "Quantification of lung ventilation defects on hyperpolarized MRI: The Multi-Ethnic Study of Atherosclerosis (MESA) COPD study", Magnetic Resonance Imaging, Vol. 92, 2022.
C. Dai, S. Wang, Y. Mo, E. Angelini, Y. Guo, W. Bai, "Suggestive annotation of brain MR images with gradient-guided sampling", Medical Image Analysis, Vol. 77, pp. 102373, 2022.
Sam F Greenbury, Nicholas T Longford, Kayleigh Ougham, Elsa D Angelini, Cheryl Battersby, Sabita Uthaya, Neena Modi, "A whole population cohort study of changes in neonatal admissions, care processes and outcomes in England and Wales during the COVID-19 pandemic", BMJ Open, accepted, 2021.
J. Yang , E. D. Angelini, P. P. Balte, E. A. Hoffman, J, H. M. Austin, B. M. Smith, R. G. Barr, A. F. Laine, “Novel subtypes of pulmonary emphysema based on spatially-informed lung texture learning: The Multi-Ethnic Study of Atherosclerosis (MESA) COPD Study, IEEE Transactions on Medical Imaging, 2021.
S. F Greenbury, E. D Angelini, K. Ougham, C. Battersby, C. Gale, S. Uthaya, N. Modi, “Birthweight and patterns of postnatal weight gain in very and extremely preterm babies in England and Wales from 2008-2019”, The Lancet Child & Adolescent Health, Vol. 5, No. 10, pp. 719-728, 2021.
S. Greenbury, K. Ougham, J. Wu, C. Battersby, C. Gale, N. Modi, E. Angelini, "Identification of variation in nutritional practice in neonatal units in England and association with clinical outcomes using agnostic machine learning", Nature Scientific Reports, Vol. 11, No.1, pp. 1-5, 2021.
E. Angelini, A. Shah, “Using Artificial Intelligence in Fungal Lung Disease: CPA CT Imaging as an Example”, Mycopathologia, p. 1-5, 2021
G. Yang, J. Chen, Z Gao, S. Li, H. Ni, E. Angelini, T. Wong, R. Mohiaddin, E. Nyktari, R. Wage, L. Xu, Y. Zhang, X. Du, H. Zhang, D. Firmin, J. Keegan, “Simultaneous left atrium anatomy and scar segmentations via deep learning in multiview information with attention”, Future Generation Computer Systems: the international journal of grid computing: theory, methods and applications, Vol. 107, pp. 215-228, 2020.
E. Angelini, S. Dahan, A. Shah, “Unravelling machine learning: insights in respiratory medicine”, European Respiratory Journal, Vol. 54, No. 6, 2019.
S. Ebrahimi, L. Gajny, C. Vergari, E. Angelini, W. Skalli, “Vertebral rotation estimation from frontal X-rays using a quasi- automated pedicle detection method”, European Spine Journal, Vol. 28, No. 12, pp. 3026-3034, 2019.
M. Wang, C. P. Aaron, J. Madrigano, E. A. Hoffman, E Angelini, J. Yang, A. Laine, T. M. Vetterli, P. L. Kinney, P. D. Sampson, L. E. Sheppard, A. A. Szpiro, S. D. Adar, K. Kirwa, B. Smith, D. J. Lederer, A. V. Diez-Roux, S. Vedal, J. D. Kaufman, R. G. Barr, “Association between long-term exposure to ambient air pollution and change in quantitatively assessed emphysema and lung function”, JAMA, Vol. 322, No. 6, pp. 546-556, 2019.
J. Yang, X. Feng, A. Laine, E. Angelini, “Characterizing Alzheimer's disease with image and genetic biomarkers using supervised topic models”, IEEE Journal of Biomedical and Health Informatics. 2019.
E. Roccia, A. Mikhno , R. T. Ogden, J. J. Mann, A. F. Laine, E. D. Angelini, F. Zanderigo, “Quantifying brain [18F]FDG uptake noninvasively by combining medical health records and dynamic PET imaging data”, IEEE Journal on Biomedical and Health Informatics, 2019.
Y. Ling, W. Meiniel, R. Singh-Moon, E. Angelini, J.-C. Olivo-Marin, C. P. Hendon, “Compressed sensing-enabled phase- sensitive swept-source optical coherence tomography”, Optics Express, Vol. 27, No. 2, pp. 855-871, 2019
L. Gajny, S. Ebrahimi, C. Vergari, E. Angelini, W. Skalli, “Quasi-automatic 3D reconstruction of the full spine from low- dose biplanar X-rays based statistical inferences and image analysis”, European Spine Journal, pp. 1-7, 2018.
S. Ebrahimi, L. Gajny, W. Skalli, E. Angelini, “Vertebral Corners Detection on Sagittal X-rays based on Shape Modelling, Random Forest Classifiers and Dedicated Visual Features”, Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization (TCIV), pp. 1-13, 2018.
W. Meiniel, J.-C. Olivo-Marin, E. Angelini, “Denoising of microscopy images: a review of the state- of-the-art, and a new sparsity-based method”, IEEE Transactions on Image Processing, Vol. 27, No.8, pp. 3842-3856, 2018.
C.P. Aaron, J.E. Schwartz, E.A. Hoffman, E. Angelini, J.H.M. Austin, M. Cushman, D.R. Jacobs, J.D. Kaufman, A. Laine, L. Smith, J. Yang, K.E. Watson, R.P. Tracy, R.G. Barr, "A Longitudinal Cohort Study of Aspirin Use and Progression of Emphysema-like Lung Characteristics on CT Imaging: The MESA Lung Study", Chest, 2018 http://dx.doi.org/10.1016/j.chest.2017.11.031).
D. Lesage, E. D. Angelini, G. Funka-Lea, I. Bloch, "Adaptive particle filtering for coronary artery segmentation from 3D CT angiograms", Computer Vision and Image Understanding, Vol. 151, pp. 29-46, 2016.
A. Mikhno, F. Zanderigo, R. T. Ogden, J. J. Mann, E. D. Angelini, A. F. Laine, R. V. Parsey, "Toward Noninvasive Quantification of Brain Radioligand Binding by Combining Electronic Health Records and Dynamic PET Imaging Data", IEEE Journal of Biomedical and Health Informatics, Vol. 19, No. 14, pp. 1271-1282, 2015
S. Dahdouh, E. D. Angelini, G. Grange, I. Bloch, "Segmentation of embryonic and fetal 3D ultrasound images based on pixel intensity distributions and shape priors", Medical Image Analysis, Vol. 24, No. 1, pp. 255-268, 2015.
N. Varsier, S. Dahdouh, A. Serrurier, J. P. de la Plata, J. Anquez, E. Angelini, I. Bloch, J. Wiart, "Influence of pregnancy stage and fetus position on the whole-body and local exposure of the fetus to RF-EMF", Physics in Medicine and Biology, Vol 59, pp. 4913–4926, 2014.
S. Dahdouh, N. Varsier, A. Serrurier, J. P. de la Plata, J. Anquez, E. Angelini, J. Wiart, I. Bloch, "A comprehensive tool for image-based generation of fetus and pregnant women mesh models for numerical dosimetry studies", Physics in Medicine and Biology, Vol 59, pp. 4583-4602, 2014.
Y. Hame, E. Angelini, E. Hoffman, G. Barr, A. Laine, "Adaptive quantification and longitudinal analysis of pulmonary emphysema with a hidden Markov measure field model", IEEE Transactions on Medical Imaging, Vol. 33, No.7, pp. 1527 - 1540, 2014.
S. Audiere, E. Angelini, L. Sandrin, M. Charbit, "Maximum likelihood estimation of shear wave speed in transient elastography", IEEE Transactions on Medical Imaging, Vol. 33, No. 6, pp. 1338 - 1349 , 2014.
Y. Le Montagner, E. Angelini, J.-C. Olivo Marin, "An unbiased risk estimator for image denoising in the presence of mixed Poisson-Gaussian noise", IEEE Transactions on Image Processing, Vol 23, No. 3, pp. 1255-1268, 2014
V. Israel-Jost, J. Darbon, E. D. Angelini, I. Bloch. “Conciliating Syntactic and Semantic Constraints for Multi-Phase and Multi-Channel Region Segmentation”, Computer Vision and Image Understanding, Vol. 117, No. 8, pp. 819–826, 2013.
P. Schmitt, E. Mandonnet, A. Perdreau, E. D. Angelini. “Effects of slice thickness and head rotation when measuring glioma sizes on MRI: In support of volume segmentation versus two largest diameters”, Journal of Neuro-oncology, Vol. 112, No. 2, pp. 165-172, 2013.
J. Anquez, E. D. Angelini, G. Grange, I. Bloch, “Automatic segmentation of ante-natal 3D ultrasound images”, IEEE Transactions on Biomedical Engineering, Vol. 60, No. 5 , pp. 1388-400, 2013.
A. Katouzian, E. Angelini, S. G. Carlier, J. S. Suri, N. Navab, A. F. Laine,"A state of the art review on segmentation algorithms in intravascular ultrasound (IVUS) images", IEEE Transactions on Information Technology in BioMedicine Vol. 16, No 5, pp. 823 – 834, 2012.
E. Altendorf, E. Decenciere, D. Jeulin, P. De Sa Peixoto, A. Deniset-Besseau, E. Angelini, G. Mosser, M.-C. Schanne-Klein, "Imaging and 3D Morphological Analysis of Collagen Fibrils", Journal of Microscopy, Vol. 247, No. 2, pp. 161-175, 2012.
E Angelini, J. Delon, A. Boubacar Bah, L. Capelle, E, Mandonnet, "Differential MRI Analysis for Quantification of Low Grade Glioma Growth", Medical Image Analysis, Vol. 12, No 1, pp. 114–126, 2012.
T. Ius, E. Angelini, M. Thiebaut de Schotten, E. Mandonnet, H. Duffau, "Evidence for potentials and limitations of brain plasticity using an atlas of functional resectability of WHO grade II gliomas: towards a "minimal common brain", Neuroimage, Vol. 56, No. 3, pp. 992-1000, 2011.
M. de Moraes Marim, M. Atlan, E. Angelini, J.-C. Olivo-Marin, "Off-axis compressed holographic microscopy in low-light conditions", Optics Letter, vol.36,No.1, pp. 79-81, 2011.
L. Bibin, J. Anquez, J.P. de la Plata Alcalde, T. Boubekeur, E. D. Angelini, I. Bloch, "Whole-body pregnant woman modeling by digital geometry processing with detailed utero-fetal unit based on medical images", IEEE Transactions on Biomedical Engineering, vol. 57, No. 10, pp. 2346-2358, 2010.
M. de Moraes Marim, M. Atlan, E. Angelini, J.-C. Olivo-Marin, "Compressed Sensing with off-axis frequency-shifting holography", Optics Letter, vol. 35, No6, pp. 871-873, 2010.
Q. Duan, E. Angelini, A. Laine, "Real-time segmentation by Active Geometric Functions", Computer Methods and Programs in Biomedicine, vol. 98,Pages 223-230, 2010.
Q. Duan, E. Angelini, A. Laine, "Surface Functions Active", Journal of Visual Communication and Image Representation, vol. 20, 2009.
D. Lesage, Elsa D. Angelini, G. Funka-Lea, I. Bloch, " A review of 3D vessel lumen segmentation techniques: Models, features and extraction Schemes", Medical Image Analysis, Vol. 13, pp. 819-845, 2009.
L. Bibin, J. Anquez, E. D. Angelini, I. Bloch. "Hybrid 3D pregnant woman and fetus modeling from medical imaging for dosimetry studies". International Journal of Computer Assisted Radiology and Surgery, 2009
O.Nempont, J. Atif, E. Angelini, I. Bloch, "A new fuzzy connectivity measure for fuzzy sets and associated fuzzy attribute openings, Journal of Mathematical Imaging and Vision, vol. 34, pp. 107-136, 2009.
Q. Duan, E. D. Angelini, S. L. Herz, C. M. Ingrassia, K. D. Costa, J. W. Holmes, S. Homma, and A. F. Laine,, “Region-based endocardium tracking on real-time three-dimensional ultrasound”, Ultrasound in Medicine and Biology, Vol. 35, No. 2, pp. 256–265, 2009.
A. Moreno, S. Chambon, A. Santhanam, J. Rolland, E. Angelini and I. Bloch, "Combining a breathing model and tumor-specific rigidity constraints for registration of CT-TEP thoracic data", Computer Assisted Surgery, Vol. 13, No. 5, pp 281-298, 2008.
J. Puentes, B. Batrancourt, J. Atif, E. Angelini, L. Lecornu, A. Zemirline, I. Bloch, G. Coatrieux, C. Roux, "Integrated multimedia electronic patient record and graph-based image information for cerebral tumors", Computers in Biology and Medicine, vol. 38, pp: 425-437, 2008.
E. D. Angelini, O. Clatz, E. Mandonnet, E. Konukoglu, L. Capelle and H. Duffau, "Glioma dynamics and computational models: A review of segmentation, registration and in silico growth algorithms and their clinical validations", Current Medical Imaging Review, vol. 3, No. 4, pp 262-276, 2007.
E. Angelini, T. Song, B. Mensh, and A. Laine, "Brain MRI segmentation with multiphase minimal partitioning: A comparative tudy", International Journal of Biomedical Imaging, vol. 2007, Article ID 10526, 15 pages, 2007.
E. Angelini , S. Homma, G. Pearson, J. Holmes, A. Laine "Segmentation of Real-time three-dimensional ultrasound for quantification of ventricular function: a clinical study on right and left ventricles," Ultrasound in Medicine and Biology, vol. 31, No. 9, pp 1143-1158, 2005.
P.-H. G. Chao, Z. Tang, E. Angelini , A. C. West, K. D. Costa and C. T. Hung, " Dynamic osmotic loading of chondrocytes using a novel microfluidic device " Journal of Biomechanics 38(6), pp 1273-1281, 2005.
E. Angelini, E. Ciaccio, “Optimized region finding and edge detection of knee cartilage surfaces from magnetic resonance images”, Annals of Biomedical Engineering, vol. 31, issue 3, pp 336-345, 2003
E. Angelini , A. Laine, S. Takuma, J. Holmes, and S. Homma, “LV volume quantification via spatio-temporal analysis of real-time 3D echocardiography,” IEEE Transactions on Medical Imaging, vol. 20, pp 457-469, 2001.
Book Chapters
A. Katouzian, E. Angelini, B. Sturm, E. Konofagou, S. Carlier, A. Laine, "Applications of Multiscale Overcomplete Wavelet-based Representations in Intravascular Ultrasound (IVUS) Images", in Ultrasound Imaging (Advances and Applications), Eds. J. M. Sanches, A. F. Laine, J. S. Suri, Springer, pp. 313-336, 2012.
Q. Duan, E. Angelini, A. F. Laine, J. S. Suri, "Real-Time 4D Cardiac Segmentation by Active Geometric Functions", in Ultrasound Imaging (Advances and Applications), Eds. J. M. Sanches, A. F. Laine, J. S. Suri, Springer, pp. 225-253, 2012. link to erratum specifying correct list of authors.
Q. Duan, E. Angelini, O. Gerard, K. D. Costa, J. W. Holmes, S. Homma and A. Laine, "Cardiac Motion Analysis Based on Optical-Flow of Real-Time 3-D Ultrasound Data", Chapter 9 in Advances in Diagnostic and Therapeutic Ultrasound Imaging, Eds. J. S. Suri, C. Kathuria, R.-F. Chang, F. Molinari, A. Fenster, Artech House, pp. 227-246, 2008.
C. Cavaro-Menard, A. Nait-Ali, J-Y Tanguy, E. Angelini, C. Le Bozec, J-J Le Jeune, “Specificities of Physiological Signals and Medical Images”, Compression of Biomedical Images and Signals, Wiley, pp. 43-74, 2008.
Q. Duan, E. Angelini, S. Homma and A. Laine, "Tracking Endocardium using Optical Flow along Isovalue Curve", Chapter 14 in Principles and Advanced Methods in Medical Imaging and Image Analysis, Eds. A. P. Dhawan, H. K. Huang, D.-S. Kim, World Scientific Publishing, Singapore, pp. 337-360, 2008.
Y. Jin, E. Angelini , and A. Laine, "Wavelets in Medical Image Processing: Denoising, Segmentation, and Registration," in Handbook of Biomedical Image Analysis Vol 1- Segmentation Models - Part a, Ed.: D. L. W. Jasjit Suri, Swamy Laximinarayan Kluwer Academic/ Plenum Publishers, pp. 305-358, 2005.
E. Angelini , Y. Jin, and A. Laine, "State-of-the-Art of Levelset Methods in Segmentation and Registration of Medical Imaging Modalities," in Handbook of Biomedical Image Analysis- Registration Models, Ed.: D. L. W. Jasjit Suri, Swamy Laximinarayan, Kluwer Academic/ Plenum Publishers, pp. 47-102, 2005.
E. Angelini and A. Laine, “Spatio-temporal directional analysis of real-time three dimensional cardiac ultrasound,” in Wavelets in Signal and Image Analysis, F. Meyer and A. Petrosian, Eds.: Kluwer Academic Publishers, 2001 .
Conferences - peer reviewed
2024
M. Seince, L. Le Folgoc, L. Facury De Souza, E. Angelini, "Dense Self-Supervised Learning for Medical Image Segmentation", International Conference Medical Imaging with Deep Learning (MIDL), to be presented, 2024.
X. Zhang, Y. Wu, E. Angelini, A. Li, J. Guo, J. M. Rasmussen, T. G O'Connor, P. D. Wadhwa, A. P. Jackowski, H. Li, J. Posner, A. F. Laine, Y. Wang , “MAPSeg: Unified unsupervised domain adaptation for heterogeneous medical image segmentation based on 3D masked autoencoding and pseudo-Labeling”, CVPR, to be presented, 2024.
X. Zhang, E. D. Angelini, E. A. Hoffman, K. E. Watson, B. M. Smith, R. G. Barr, A. F. Laine, “Robust quantification of percent emphysema on CT via domain attention: the Multi-Ethnic Study of Atherosclerosis (MESA) Lung Study”, IEEE International Symposium on Biomedical Imaging (ISBI), to be presented, 2024.
A. Keshavarzi, E. Angelini, “Few-shot airway-tree modeling using data-driven sparse priors“, IEEE International Symposium on Biomedical Imaging (ISBI), to be presented, 2024.
R. Reme, A. Newson, E. Angelini, J.-C. Olivo-Marin, T. Lagache, “Particle tracking in biological images with optical-flow enhanced Kalman filtering““, IEEE International Symposium on Biomedical Imaging (ISBI), to be presented, 2024.
E. Dereure, C. Kervazo, J. Seguin, A. Garofalakis, N. Mignet, E. Angelini, J.-C. Olivo-Marin, “Wavelet-based sparse non-negative matrix factorization for bioluminescent imaging unmixing“, IEEE International Symposium on Biomedical Imaging (ISBI), to be presented, 2024.
I. Mounime, W. Lee, T. Marin, P. Han, Y. Djebra, S. Eslahi, P. Gori, E. Angelini, G. El Fakhri, “Sparsity constrained linear tangent space alignment model (LTSA) for 3D cardiac extracellular volume mapping“, IEEE International Symposium on Biomedical Imaging (ISBI), to be presented, 2024.
S, Naik, E. Angelini, R. G. Barr, N. Allen, A. Bertoni, E. Hoffman, A. Manichaikul, J. Pankow, W. Post, Y. Sun, K. Watson, B. Smith, A. Laine , “Unsupervised airway tree clustering with deep learning: The Multi-Ethnic Study of Atherosclerosis (MESA) lung study”, IEEE International Symposium on Biomedical Imaging (ISBI), to be presented, 2024.
2023
E. Dereure, C. Kervazo, S. Johanne, A. Garofalakis , E. Angelini, N. Mignet, J.-C. Olivo-Marin, “Sparse non-negative matrix factorization for preclinical bioluminescent imaging”, IEEE International Symposium on Biomedical Imaging (ISBI), pp. 1-5, 2023.
A. Wysoczanski, E. Angelini, Y. Sun, B. Smith, E. Hoffman, K. Stukovsky, M. Budoff, K. Watson, J. Carr, E. Oelsner, R G. Barr, A. Laine, “Multi-View CNN for total lung volume inference on cardiac computed tomography”, IEEE International Symposium on Biomedical Imaging (ISBI), pp. 1-5, 2023.
R. Reme, V. Piriou, A. Newson, E. Angelini, J.-C. Olivo-Marin, T. Lagache, “Tracking intermittent particles with self- learned visual features”, IEEE International Symposium on Biomedical Imaging (ISBI), pp. 1-5, 2023.
2022
A. Habis, V. Meas-Yedid, D. Felipe G. Obando, J.-C. Olivo-Marin, E. Angelini, "Smart learning of click and refine for nuclei segmentation on histology images", IEEE International Conference on Image Processing (ICIP), pp. 2281-2285, 2022.
M. Zang, A. Wysoczanski, E. Angelini, A. F. Laine, “3D U-Net sased Semantic segmentation of kidneys and Renal casses on Contrast-enhanced CT”, International Challenge on Kidney and Kidney Tumor Segmentation (KiTS21), pp. 143-150, 2022. [invited paper from participation in the Challenge – ranked 6th – content not peer-reviewed].
2021
A. Wysoczanski, E. Angelini, B. M. Smith, E. Hoffman, G. Hiura, Y. Sun, R. G. Barr, A. F. Laine, “Unsupervised clustering of airway tree structures on high-resolution CT: the MESA Lung Study”, IEEE International Symposium on Biomedical Imaging (ISBI), pp. 1568-1572, 2021.
Z. Huang, H. Zhang, A. F. Laine, E. Angelini, C. Hendon, Y. Gan, “CO-SEG: An image segmentation framework against label corruption”, IEEE International Symposium on Biomedical Imaging (ISBI), pp. 550-553, 2021.
A. Nunes, S. Desai, T. Semple, A. Shah, E. Angelini, “3D pathological signs detection and scoring on CPA CT lung scans”, IEEE International Symposium on Biomedical Imaging (ISBI), pp. 82-85, 2021.
M. Jammes-Floreani, A. F. Laine, E. Angelini, “Enhanced-quality GAN (EQ-GAN) on lung CT scans: toward truth and potential hallucinations”, IEEE International Symposium on Biomedical Imaging (ISBI), pp. 20-23, 2021.
2020
Z. Huang, Y. Gan, T. Lye, H. Zhang, A. Laine, E. Angelini, C. Hendon, “Heterogeneity measurement of cardiac tissues leveraging uncertainty information from image segmentation”, International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), pp. 782-791, 2020.
C. Dai, S. Wang, Y. Mo, E. Angelini, R. Zhou, Y. Guo, W. Bai, “Suggestive annotation of brain tumour images with gradient-guided sampling”, International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), pp. 156-165, 2020.
H. Barbaroux, X. Feng, J. Yang, A. Laine, E. Angelini, “Encoding human cortex using spherical CNNs - a study on Alzheimer's disease classification”, IEEE International Symposium on Biomedical Imaging (ISBI), pp. 1322-1325, 2020.
J. Bayet, T. Hoogenboom, R. Sharma, E. Angelini, “Machine-learning on liver ultrasound to stratify multiple diseases via blood-vessels and perfusion characteristics”, IEEE International Symposium on Biomedical Imaging (ISBI), pp. 1351- 1354, 2020
Z. Huang, Y. Gan, T. Lye, D. Theagene, S. Chintapalli, S. Virdi, A. F. Laine, E. Angelini, C. Hendon, “Segmentation and uncertainty measures of cardiac tissues on Optical Coherence Tomography via convolutional neural networks”, IEEE International Symposium on Biomedical Imaging (ISBI), pp. 1-4, 2020.
2019
C. Dai, Y. Mo, E. Angelini, Y. Guo, W. Bai, “Transfer learning from partial annotations for whole brain segmentation”, MICCAI-Workshops on Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data (DART, MIL3ID), Lecture Notes in Computer Science, vol 11795, pp. 199-206, 2019.
Z. Yang, W. Skalli, C. Vergari, E.D. Angelini, L. Gajny, “Automated spinal midline delineation on biplanar X-rays using Mask R-CNN”, ECCOMAS Thematic Conference on Computational Vision and Medical Image Processing (ViPImage)pp. 307-316, 2019. Best Paper Award.
M. Zusag, S. Desai, M. Di Paolo, T. Semple, A. Shah, E. Angelini, “SAPSAM - Sparsely annotated pathological sign activation maps - a novel approach to train convolutional neural networks on lung CT scans using binary labels only”, IEEE International Symposium on Biomedical Imaging (ISBI), pp. 298-302, 2019.
J. Yang, T. Vetterli, P. Balte, G. Barr, A. Laine, E. Angelini, “Unsupervised domain adaption with adversarial learning (UDAA) for emphysema subtyping on cardiac CT scans: The MESA study”, IEEE International Symposium on Biomedical Imaging (ISBI), pp. 289-293, 2019.
S. Ebrahimi, L. Gajny, W. Skalli, E. Angelini, “Automatic segmentation and identification of spinous processes on sagittal x-rays based on random forest classification and dedicated contextual features”, IEEE International Symposium on Biomedical Imaging (ISBI), pp. 688-691, 2019.
Y Gan, J. Yang, B. M. Smith, P. Balte, E. Hoffman, C. Hendon, R. G. Barr, A. Laine, E. Angelini, “Enhanced generative model for unsupervised discovery of spatially-informed macroscopic emphysema: The mesa COPD study”, IEEE International Symposium on Biomedical Imaging (ISBI), pp. 1212-1215, 2019,
2018
J. Chen, G. Yang, Z. Gao, H. Ni, E. Angelini, T. Wong, R. Mohiaddin, Y. Zhang, X. Du, H. Zhang, J. Keegan, D. Firmin “Multiview two-task recursive attention model for left atrium and atrial scars segmentation”, International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), pp. 455-463, 2018.
G. Yang, J. Chen, Z. Gao, H. Zhang, H. Ni, E. Angelini, R. Mohiaddin, T. Wong, J. Keegan, D. Firmin, “Multiview sequential learning and dilated residual learning for a fully automatic delineation of the left atrium and pulmonary veins from late gadolinium-enhanced cardiac MRI images”, IEEE Engineering in Medicine and Biology Society Conference (EMBC), pp. 1123-1127, 2018.
X. Feng, J. Yang, A. Laine, E. Angelini, "Alzheimer's disease diagnosis based on anatomically stratified texture analysis of the hippocampus in structural MRI", IEEE International Symposium on Biomedical Imaging (ISBI), pp. 1456-1549, 2018
2017
X. Feng, J. Yang, A. Laine, E. Angelini, "Discriminative Localization in CNNs for Weakly-Supervised Segmentation of Pulmonary Nodules”, International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), pp. 568-576, 2017.
J. Yang, E. Angelini, B. M. Smith, P. Balte, E. Hoffman, R. G. Barr, A. Laine, "Unsupervised Discovery of Spatially- Informed Lung Texture Patterns for Pulmonary Emphysema: The MESA COPD Study", International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), pp. 116-124, 2017.
J. Song, J. Yang, B. Smith, P. Balte, E. A. Hoffman, R. G. Barr, A. F. Laine, E. D. Angelini, "Generative Method to Discover Emphysema Subtypes with Unsupervised Learned Using Lung Macroscopic Patterns (LMPs): The MESA COPD study", IEEE International Symposium on Biomedical Imaging (ISBI), pp. 375-378, 2017.
W. Meiniel, P. Spinicelli, E. Angelini, A. Fragola, V. Loriette, F. Orieux, E. Sepulveda, J.-C. Olivo-Marin, "Reducing data acquisition for fast structured illumination microscopy using compressed sensing", IEEE International Symposium on Biomedical Imaging (ISBI), Melbourne, Australia, pp. 32-35, 2017.
2016
J. Yang, E. D. Angelini, P. P. Balte, E. A. Hoffman, C. O. Wu, B. A. Venkatesh, R. G. Barr, A. F. Laine, "Emphysema quantification on cardiac CT scans using hidden Markov measure field model: The MESA Lung Study", International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), pp. 624-631, 2016.
J. Yang, E. D. Angelini, B. M. Smith, J. Austin, E. A. Hoffman, D. A. Bluemke, R. G. Barr, A. F. Laine, "Explaining radiological emphysema subtypes with unsupervised texture prototypes: Mesa COPD Study", MICCAI Workshop on Medical Computer Vision: Algorithms for Big Data, pp. 124-134, 2016.
J. Yang, X. Feng, E. D. Angelini, A. F. Laine; “Texton and sparse representation based texture classification of lung parenchyma in CT images”, International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Orlando, FL USA, pp. 1276-1279, 2016.
S. Ebrahimi, E. Angelini, L. Gajny, W. Skalli, "Lumbar spine posterior corner detection in X-rays using Haar-based features", IEEE International Symposium on Biomedical Imaging (ISBI), Prague, Czech Republic, pp. 180-183 , 2016.
W. Meiniel, Y. Gan, C. Hendon, J.-C. Olivo-Marin, A. Laine, E. Angelini, "Sparsity-based simplification of spectral-domain optical coherence tomography images of cardiac samples", IEEE International Symposium on Biomedical Imaging (ISBI), Prague, Czech Republic, pp. 373-376, 2016.
2015
E. Roccia, A. Mikhno, F. Zanderigo, E. Angelini, T. Ogden, J. J. Mann, R. Parsey, A. F. Laine, "Non-invasive quantification of brain [18F]-FDG uptake by combining medical health records and dynamic PET imaging data", International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Milano, Italy, 2015.
W. Meiniel, E. Angelini, J.-C. Olivo-Marin, "Image denoising by adaptive Compressed Sensing reconstructions and fusions", Proc. SPIE 9597, Wavelets and Sparsity XVI, San Diego, CA, 2015.
Y. Gan, E. Angelini, A. F. Laine, C. Hendon, "BM3D-based ultrasound image denoising via brushlet thresholding", IEEE International Symposium on Biomedical Imaging (ISBI), Brooklyn, NY, USA, pp. 667–670, 2015.
Y. Hame, E. Angelini, M. Patrick, B. Smith, E. Hoffman, G. R. Barr, A. F. Laine, "Equating emphysema scores and segmentations across CT reconstructions: A comparison study", IEEE International Symposium on Biomedical Imaging (ISBI), Brooklyn, NY, USA, pp. 629-632, 2015.
Y. Hame, E. Angelini, M. Patrick, B. Smith, E. Hoffman, G. R. Barr, A. F. Laine, "Sparse sampling and unsupervised learning of lung texture patterns in pulmonary emphysema: MESA COPD study", IEEE International Symposium on Biomedical Imaging (ISBI), Brooklyn, NY, USA, pp. 109-113, 2015.
W. Meiniel, Y. Le Montagner, E. Angelini, J.-C. Olivo-Marin, "Image Denoising by Multiple Compressed Sensing Reconstructions ", IEEE International Symposium on Biomedical Imaging (ISBI), Brooklyn, NY, USA, pp. 1232-1235, 2015.
2014
V. Israel-Jost, J. Darbon, E. D. Angelini, I. Bloch, "On the implementation of the multi-phase region segmentation, solving the hidden phase problem", IEEE International Conference on Image Processing (ICIP), Paris, France, pp. 4338-4342, 2014.
V. Gamarnik, C. Russo, E. Angelini, A. F. Laine, "Toward diagnostic criteria for left ventricular systolic dysfunction from myocardial deformation", IEEE-EMBS International Conferences on Biomedical and Health Informatics", Valencia, Spain, pp. 688 – 692, 2014.
A. Mikhno, E. Angelini, A. F. Laine, "Locally weighted total variation denoising for PSF modeling artifact suppression in PET reconstruction",IEEE International Symposium on Biomedical Imaging (ISBI), Beijing, China, pp. 971-974, 2014.
2013
Y. Le Montagner, E. Angelini, J. C. Olivo-Marin: ‘Biological video reconstruction using linear or non-linear Fourier measurements’. Proc. SPIE 8858, Wavelets and Sparsity XV, San Diego, CA, 2013.
M. Gargouri, J. Tierny, E. Jolivet, P. Petit, E. D. Angelini, “Accurate and robust shape descriptors for the identification of rib cage structures in CT-images with Random Forests”, IEEE International Symposium on Biomedical Imaging (ISBI), San Francisco, CA, USA, pp. 65-68, 2013.
A. Mikhno, E. Angelini, A. F. Laine, B. Bai, “Locally weighted Total Variation denoising for ringing artifact suppression in PET reconstruction using PSF modeling”, IEEE International Symposium on Biomedical Imaging (ISBI), San Francisco, CA, USA, pp. 1252-1255, 2013.
Y. Hame, E. Angelini, E. Hoffman, G Barr, A. F. Laine, “Robust quantification of pulmonary emphysema with a hidden Markov measure field model”, IEEE International Symposium on Biomedical Imaging (ISBI), San Francisco, CA, USA, pp. 382-385, 2013.
Y. Le Montagner, E. Angelini, J.-C. Olivo-Marin, “Phase retrieval with sparsity priors and application to microscopy video reconstruction”, IEEE International Symposium on Biomedical Imaging (ISBI), San Francisco, CA, USA, pp. 604-607, 2013.
S. Dahdouh, A. Serrurier, G. Grange, E. Angelini, I. Bloch, “Segmentation of fetal envelope from 3D Ultrasound images based on pixel intensity statistical distribution and shape priors”, IEEE International Symposium on Biomedical Imaging (ISBI), San Francisco, CA, USA, pp. 1026-1029, 2013.
2012
A. Lorsakul, Q. Duan, C. Russo, E. Angelini, S. Homma, A. Laine, "Impact of temporal resolution on the LV myocardial strain assessment on real-time 3D ultrasound", International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), San Diego, CA, pp. 4075-4078, 2012.
Y. Le Montagner, E. Angelini, J.-C. Olivo-Marin, " Video reconstruction using compressed sensing measurements and 3D Total Variation regularization for bio-imaging applications", IEEE Conference on Image Processing (ICIP), Orlando, FL, USA, pp. 917-920, 2012.
G. Pizaine, R. Prevost, E. Angelini, I. Bloch, S. Makram-Ebeid, "Segmentation-free and multiscale-free extraction of medial information using gradient vector flow- Application to vascular structures". IEEE International Symposium on Biomedical Imaging (ISBI), Barcelona, Spain, pp. 1421-1424, 2012.
M. Charbit, E. D. Angelini, S. Audiere, "Maximum-likelihood estimation of Young's modulus in transient elastography with unknown line-of-sight orientation", IEEE International Symposium on Biomedical Imaging (ISBI), Barcelona, Spain, pp. 1108-1111, 2012.
A. Katouzian, E. Angelini, B. Sturm, A. Laine,"Brushlet segmentation for automatic detection of lumen borders in IVUS images: a comparison study", IEEE International Symposium on Biomedical Imaging (ISBI), Barcelona, Spain, pp. 242-245, 2012.
2011
S. Audiere, E. D. Angelini, M. Charbit, V. Miette "Evaluation of in vivo liver tissue characterization with spectral RF analysis versus elasticity", MICCAI, Toronto, Canada, pp. 387-395, 2011.
A. Lorsakul, Q. Duan, M. J. Po, E. Angelini, S. Homma, A. F. Laine, "Parameterization of real-time 3D speckle tracking framework for cardiac strain assessment", International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Boston, USA, pp. 2654-2657, 2011.
Y. Le Montagner, M. Marim, E. Angelini, J.-C. Olivo-Marin, "Numerical evaluation of sampling bounds for near-optimal reconstruction in Compressed Sensing", IEEE International Conference on Image Processing (ICIP), Brussels, Belgium, pp. 3073-3076, 2011.
Y. Le Montagner, M. Marim, E. D. Angelini, J.-C. Olivo-Marin, " Numerical evaluation of subsampling effects on image reconstruction in Compressed-Sensing microscopy", SPIE Wavelet XIII, Vol. 8138 / Applications of Sparse Representations in Bioimaging, San Diego, CA, USA, 2011.
J. P. De La Plata, J. Anquez, L. Bibin, T. Boubekeur, E. Angelini, I. Bloch , "FEMONUM: A Framework for Whole Body Pregnant Woman Modeling from Ante-Natal Imaging Data" , Eurographics, 2011. Honorable mention of the Dirk Bartz Prize for Visual Computing in Medicine 2011
Y. Le Montagner, E. Angelini, J.-C. Olivo-Marin, "Comparison of reconstruction algorithms in Compressed Sensing applied to biomedical imaging", IEEE International Symposium on Biomedical Imaging (ISBI), Chicago, USA, pp. 105-108, 2011.
G. Pizaine, E. Angelini, I. Bloch, S. Makram-Ebeid, "Vessel geometry modeling and segmentation using convolution surfaces and an implicit medial axis", IEEE International Symposium on Biomedical Imaging (ISBI), Chicago, USA, pp. 1421-1424, 2011.
G. Pizaine, E. D. Angelini, I. Bloch, S, Makram-Ebeid, " Implicit medial representation for vessel segmentation", SPIE Medical Imaging, Vol 7962, Orlando, FL, USA, 2011
2010
S. Audiere, M. Charbit, E. Angelini, V. Miette, J. Oudry, L. Sandrin, “Finite element simulation of shear wave propagation induced by a VCTE probe, Ninth International Conference on the Ultrasonic Measurement and Imaging of Tissue Elasticity”, Snowbird, Utah, USA, 2010.
S. Audiere, M. Charbit, E. D. Angelini, J. Oudry, L. Sandrin, "Measurement of the skin-liver capsule distance on ultrasound RF data for 1D transient elastography", MICCAI, Beijing, China, LNCS 6362, pp:34-41, 2010.
M. de Moraes Marim, E. Angelini, J.-C. Olivo-Marin ,”Denoising in Fluorescence Microscopy Using Compressed Sensing With Multiple Reconstructions and Non-Local Merging”, International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Buenos Aires, Argentina, pp:3394 - 3397, 2010.
A. Katouzian, E. D. Angelini, B. Sturm, and A. F. Laine “Automatic Detection of Luminal Borders in IVUS Images by Magnitude-Phase Histograms of Complex Brushlet Coefficients”, International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Buenos Aires, Argentina, pp: 3073 - 3076, 2010.
M. Marim, M. Atlan, E. Angelini, J.-C. Olivo-Marin, “Compressed Sensing Applications for Biological Microscopy', IEEE Workshop on Signal Processing Systems (SIPS), San Francisco, USA, pp: 216 - 221, 2010.
J. Wojak, E. D Angelini, I. Bloch, "Joint Variational Segmentation of CT_PET data for tumoral lesions", IEEE International Symposium on Biomedical Imaging (ISBI), Rotterdam, NL, pp. 217-220, 2010.
J. Anquez, L. Bibin, E. Angelini, I. Bloch, "Segmentation of the fetal envelope on ante-natal MRI", IEEE International Symposium on Biomedical Imaging (ISBI), Rotterdam, NL, pp. 896-899, 2010.
E. Angelini, J. Delon, L. Capelle, E. Mandonnet, "Contrast mapping and statistical testing for low-grade glioma growth quantification on brain MRI", IEEE International Symposium on Biomedical Imaging (ISBI), Rotterdam, NL, pp. 872-875, 2010.
M. de Moraes Marim, M. Atlan, E. Angelini, J.-C. Olivo-Marin, "Compressed Sensing for Digital Holographic Microscopy", IEEE International Symposium on Biomedical Imaging (ISBI), Rotterdam, NL, pp. 684-687, 2010. This paper received a Best Student Paper Award.
J. Wojak, E. D. Angelini, I. Bloch, "Introducing shape constraint via Legendre moments in a variational framework for cardiac segmentation on non-Contrast CT images", VISAPP, Angers, France, pp. 209-214, 2010.
J. P. de la Alcade, L. Bibin, J. Anquez, T. Boubekeur, E. D. Angelini, I. Bloch, "Physics-based modeling of the pregnant woman", International Symposium in Biomedical Simulation (ISBMS), Phoenix, AZ, USA, pp. 71-81, 2010.
2009
M. Marim, E. D. Angelini, and J.-C. Olivo-Marin, "Compressed Sensing in microscopy with random projections in the Fourier domain", IEEE Intern. Conf. on Image Processing, (ICIP), Cairo, Egypt, pp: 2121 - 2124, 2009.
J. Anquez, T. Boubekeur, L. Bibin, E. D. Angelini, I. Bloch. "Utero-fetal unit and pregnant woman modeling using a computer graphics approach for dosimetry studies", MICCAI, London, UK, pp. 1025-1032, Sept. 2009.
D. Lesage, E. D. Angelini, G. Funka-Lea, I. Bloch, "Bayesian maximal paths for coronary artery segmentation from 3D CT angiograms", MICCAI, London, UK, pp. 222-229, Sept. 2009.
A. Katouzian, E. D. Angelini, A. F. Laine, "Classification of blood regions in IVUS images using three dimensional brushlet expansions ", International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Minneapolis, USA, Sept. 2009
M. Marim, E. D. Angelini, and J.-C. Olivo-Marin, "Compressed sensing in biological microscopy", SPIE International Symposium, Wavelets XIII, Vol. 7446, San Diego,USA , 2009.
M. Marim, E. Angelini and J.-C. Olivo-Marin, " A compressed sensing approach for biological microscopic image processing", IEEE International Symposium on Biomedical Imaging (ISBI), Boston, USA,pp. 1374-1377, 2009.
J. Anquez, E. Angelini and I. Bloch, " Automatic segmentation of head structures on fetal MRI", IEEE International Symposium on Biomedical Imaging (ISBI), Boston, USA, pp. 109-112, 2009.
D. Lesage, E. Angelini, I. Bloch and G. Funka-Lea, "Design and study of flux-based features for 3D vascular tracking", IEEE International Symposium on Biomedical Imaging (ISBI), Boston, USA, pp. 286-289, 2009.
Q. Duan, K. Parker, A. Lorsakul, E. Angelini, E. Hyodo, S. Homma, J. Holmes, A. Laine, "Quantitative Validation of optical flow based myocardial strain measures using sonomicrometry", IEEE International Symposium on Biomedical Imaging (ISBI), Boston, USA, pp. 454-457, 2009.
L. Bibin, J. Anquez, E. Angelini, I. Bloch, "Hybrid 3D modeling of mother and fetus from medical imaging for dosimetry studies", Computer Assisted Radiology and Surgery (CARS), Berlin,Germany, pp. 378-379, 2009.
L. Bibin, J. Anquez, A. Hadjem, E. Angelini, J. Wiart, I. Bloch, "Dosimetry studies on a fetus model combining medical image information and a synthetic woman body", World Congress on Medical Physics and Biomedical Engineering, Munich, Germany, Springer, pp. 321-324, 2009.
S. Audiere,Y. Mofid, M. Charbit, E. Angelini, V. Miette, L. Sandrin, L., "Fibroscan practice improvement with a real-time assistance ultrasound tool: A premiminary study", IEEE International Ultrasonics Symposium, pp. 1455-1458, 2009.
A. Katouzian, E. D. Angelini, A. Lorsakul, B. Sturm, A. F. Laine, "Lumen border detection of intravascular ultrasound via denoising of directional wavelet representations", Functional Imaging and Modeling of the Heart (FIMH), Nice, France, vol. 1, pp. 104-113 June 2009.
Q. Duan, E. D. Angelini, A. Lorsakul, S. Homma, J. Holmes, A. F. Laine, "Coronary occlusion detection with 4D optical flow ", Functional Imaging and Modeling of the Heart (FIMH), Nice, France, vol. 1, pp. 211-219, June 2009.
2008
O. Nempont, J. Atif, E. Angelini, I. Bloch, "Structure segmentation and recognition in images guided by structural constraint propagation", European Conference on Artificial Intelligence (ECAI), Patras, Greece,pp. 652-659, 2008.
O. Nempont, J. Atif, E. Angelini, I. Bloch, "Fuzzy attribute openings based on a new fuzzy connectivity class. Application to structural recognition in images", IPMU, Malaga, Spain, June 2008.
Q. Duan, E. D. Angelini, S. Homma, A. F. Laine, "Real-time segmentation of 4D ultrasound by active geometric functions", IEEE International Symposium on Biomedical Imaging (ISBI), Paris, France, pp. 233-236, May 2008.
D. Lesage, E. Angelini, I. Bloch, G. Funka-Lea, "Medial-based Bayesian tracking for vascular segmentation: Application to coronary arteries in 3D CT angiography", IEEE International Symposium on Biomedical Imaging (ISBI), Paris, France, pp. 268-271, May 2008.
V. Israel-Jost, E. Breton, E. Angelini, P. Choquet, I. Bloch, "Vectorial multi-phase mouse brain tumor segmentation in T1-T2 MRI", IEEE International Symposium on Biomedical Imaging (ISBI), Paris, France, pp. 5-8, May 2008.
J. Anquez, E. Angelini, I. Bloch, "Segmentation of fetal 3D ultrasound images based on statistical prior and deformable model", IEEE International Symposium on Biomedical Imaging (ISBI), Paris, France, pp. 17-20, May 2008.
O. Nempont, J. Atif, E. Angelini, I. Bloch, "A new fuzzy connectivity class. Application to structural recognition in images.", IAPR International Conference on Discrete Geometry for Computer Imagery (DGCI), Lyon, France, vol. LNCS 4992, pp. 446-457, Apr. 2008.
2007
A. Moreno, S. Chambon, A. Santhanam, J. Rolland, E. Angelini and I. Bloch, "Thoracic CT-PET registration using a 3D breathing model", International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), Brisbane, Australia, pp. 626-633, Oct. 2007.
A. Moreno, S. Chambon, A. Santhanam, J. Rolland, E. Angelini and I. Bloch, "CT-PET landmark-based registration using a dynamic lung model", International Conference on Image Analysis and Processing (ICIAP), Modena, Italy, pp. 691-696, Sept. 2007
R. El Berbari, I. Bloch, A. Redheuil, E. Angelini , E. Mousseaux, F. Frouin and A. Herment," An automated myocardial segmentation in cardiac MRI", International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) , Lyon, France, pp. 4508-4511, Aug. 2007.
J. Anquez, E. Angelini , I. Bloch, V. Merzoug, A. E. Bellaiche-Millischer and C. Adamsbaum, "Interest of the steady state free precession (SSFP) sequence for 3D modeling of the whole fetus", International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Lyon, France, pp. 771-774, Aug. 2007
O. Nempont, J. Atif, E. Angelini, I. Bloch, "Combining radiometric and spatial structural information in a new metric for minimal surface segmentation", International Conference on Image Processing in Medical Imaging (IPMI), Kerkrade, The NL, pp. 283-295, July 2007.
Q. Duan, P. Moireau, E. D. Angelini, D. Chapelle, A. Laine, "Simulation of 3D ultrasound with a realistic electro-mechanical model of the heart", International Workshop on Functional Imaging and Modeling of the Heart (FIMH), Springer LNCS 4466, Salt Lake City, USA, pp. 463-473, June 2007.
R. El Berbari, I. Bloch, A. Redheuil, E. Angelini, E. Mousseaux, F. Frouin, A. Herment, "Automated segmentation of the left ventricle including papillary muscles in cardiac magnetic resonance images", International Workshop on Functional Imaging and Modeling of the Heart (FIMH), Springer LNCS 4466, Salt Lake City, USA, pp. 453-462, June 2007.
H. Khotanlou, J. Atif, E. Angelini , H. Duffau and I. Bloch, "Adaptive Segmentation of Internal Brain Structures in Pathological MR Images Depending on Tumor Types", International Symposium on Biomedical Imaging (ISBI), Arlington, VA, USA, pp. 588-591, April 2007.
J. Atif, C. Hudelot, O. Nempont, N. Richard, B. Batrancourt, E. Angelini and I. Bloch, "GRAFIP: A framework for the representation of healthy and pathological cerebral information", International Symposium on Biomedical Imaging (ISBI), Arlington, VA, USA, pp. 205-208, April 2007.
E. Angelini, J. Atif, J. Delon, E. Mandonnet, H. Duffau and L. Capelle, "Detection of glioma evolution on longitudinal MRI studies International Symposium on Biomedical Imaging (ISBI),Arlington, VA, USA,pp. 49-52, April 2007.
Q. Duan, E. Angelini, S. Homma, A. Laine, "Validation of optical-flow for quantification of myocardial deformations on simulated RT3D ultrasound", International Symposium on Biomedical Imaging (ISBI),Arlington, VA, USA, pp. 944-947, April 2007.
J. Atif, C. Hudelot, G. Fouquier, I. Bloch and E. Angelini "From generic knowledge to specific reasoning for medical image interpretation using graph-based representations", International Joint Conference on Artificial Intelligence (IJCAI), Hyderabad, India, pp. 224-229, Jan. 2007.
2006
Q. Duan, E. Angelini S. Homma, A. Laine, "Tracking the endocardium using optical flow along iso-value curves", IEEE EMBS Annual International Conference (EMBC), New York, NY, USA, pp. 707-710, Aug. 30th-Sept. 3rd, 2006.
E. Angelini, O. Gerard, "Review of myocardial motion estimation methods from optical flow tracking on ultrasound data", International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), New York, NY, USA,pp.1537-1540, Aug. 30th-Sept. 3rd 2006.
J. Atif, O. Nempont, O. Colliot, E. Angelini , I. Bloch, "Level set deformable models constrained by fuzzy spatial relation," Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU), Paris, France, pp. 1534-1541, 3-7 July 2006.
J. Puentes, B. Batrancourt, L. Lecornu, J. Atif, G. Coatrieux, E. Angelini , I. Bloch, C. Roux, "Enhancing electronic patient record functionality through information extraction from images," IEEE International Conference On Information & Communication Technologies: From Theory To Applications, Damascus, Syria, vol. 2, pp. 1192-1195, 2006.
Q. Duan, E. Angelini , O. Gerard, S. Homma, and A. Laine, "Comparing optical-flow based methods for quantifiation of myocardial deformations on RT3D ultrasound," IEEE International Symposium on Biomedical Imaging (ISBI), Arlington, VA, USA,pp. 173-176, 2006.
E. Angelini , T. Song, and A. Laine, "Homogeneity measures for multiphase level set segmentation of brain MRI," IEEE International Symposium on Biomedical Imaging (ISBI), Arlington, VA, USA,pp. 746-749, 2006.
P. Soler, G. Delso, N. Villain, E. Angelini , and I. Bloch, "Superresolution spatial compounding techniques, with application to 3D breast ultrasound imaging," SPIE Conference on Medical Imaging, San Diego, CA, USA, Vol. 6147, 2006.
B. Vallet, E. Angelini , and A. Laine, "Variational segmentation framework in prolate spheroidal coordinates for 3D real-time echocardiography," SPIE Conference on Medical Imaging, San Diego, CA, USA, Vol. 6144, 2006.
B. Batrancourt, J. Atif, O. Nempont, E. Angelini, I. Bloch, "Integrating information from pathological brain MRI into an anatomo-functional model," IASTED International conference on Biomedical Engineering, Innsbruck, Austria, 15-17 Feb. 2006.
H. Kothanlou, J. Atif, B. Batrancourt, O. Colliot, E. Angelini, I. Bloch, "Segmentation de Tumeurs Cerebrales et Integration dans un Modele de l’Anatomie", Reconnaissance des Formes et Intelligence Artificielle (RFIA), Tours, France, 25-27 Jan. 2006. 2nd prize AFRIF .
2005
P. Soler, O. Gerard, P. Allain, E. Saloux, E. Angelini , I Bloch "Comparison of fusion techniques for 3D+T echocardiography acquisitions from different acoustic windows", Computers in Cardiology, Lyon, France, 25-28 Sept., pp. 141-144, 2005.
Q. Duan, E. Angelini , S. Herz, C. Ingrassia, O. Gerard, K. Costa, J. Holmes, A. Laine, "Dynamic cardiac information from optical flow using four-dimensional ultrasound", IEEE EMBS conference, Shangai, China, pp. 4465 - 4468, 2005.
Q. Duan, E. Angelini , S. Herz, O. Gerard, P. Allain, C. Ingrassia,K. Costa, J. Holmes, A. Laine, "Tracking of LV endocardial surface on real-time three-dimensional ultrasound with optical flow", Workshop on Functional Imaging and Modeling of the Heart (FIMH), Barcelona, Spain, LNCS 3504, Springer, pp. 434-445 2005.
P. Soler, N. Villain, I. Bloch and E. D. Angelini, "Volume Reconstruction of Breast Echography from Anisotropically Degraded Scans", IASTED International Conference on Biomedical Engineering, Innsbruck, Austria, vol. 9, pp. 349-355, Feb. 2005.
Q. Duan, E. Angelini , S. Herz, C. Ingrassia, O. Gerard, K. Costa, J. Holmes, A. Laine, "Evaluation of optical flow algorithms for tracking endocardial surfaces on three-dimensional ultrasound data", SPIE Symposium on Medical Imaging, San Diego, CA, USA, Feb. 2005
2004
E. D. Angelini, T. Song, B. D. Mensh, A. Laine, "Multi-phase three-dimensional level set segmentation of brain MRI," International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), Saint-Malo, France, vol. 1, pp. 318-326, 2004.
Ting Song, Elsa D. Angelini, Brett D. Mensh, Andrew Laine, "Comparison Study of Clinical 3D MRI Brain Segmentation Evaluation," Annual International Conference IEEE Engineering in Medicine and Biology Society (EMBS), San Francisco, CA, USA., pp. 1671-1674, 2004.
Elsa D. Angelini, Ya Wang, A. Laine, "Classification of Micro Array Genomic Images with Laplacian Pyramidal Filters and Neural Networks", Workshop on Genomic Signal Processing and Statistics (GENSIPS), Baltimore, Maryland, USA, 2004.
E. Angelini, Y. Jin, P. Esser, R. V. Heertum, and A. Laine, "Fusion of brushlet and wavelet denoising methods for nuclear images," Proceedings of the IEEE International Symposium on Biomedical Imaging (ISBI), Arlington, VA, USA,vol. 1, pp. 1187-1191, 2004.
E. Angelini, R. Otsuka, S. Homma, and A. Laine, "Comparison of ventricular geometry for two real time 3D ultrasound machines with three dimensional level set," IEEE International Symposium on Biomedical Imaging (ISBI), Arlington, VA, USA, vol. 1, pp. 1323-1326, 2004.
E. Angelini, T. Song, B. D. Mensh, and A. Laine, "Segmentation and quantitative evaluation of brain MRI data with a multiphase three-dimensional implicit deformable model," SPIE International Symposium on Medical Imaging, San Diego, CA, USA, 2004.
Q. Duan, E. D. Angelini, and A. Laine, "Assessment of fast anisotropic diffusion and scan conversion of real-time three-dimensional spherical ultrasound data for visual quality and spatial accuracy," SPIE International Symposium on Medical Imaging, San Diego, CA, USA, vol. 5370, pp. 526-537, 2004.
2003
Y. Jin, E. Angelini, P. Esser, and A. Laine, "De-noising SPECT/PET images using cross-scale regularization," International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), Montreal, Canada,Vol. 2879, Part II, pp. 32-40, 2003.
Y. Jin, E. Angelini, S. Mangla, I. S. Choi, R. Kemkers, J. Timmer, and A. Laine, "Multiscale denoising and enhancement of 3D rotational X-ray imaging for percutaneous vertebroplasty," Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS), Cancun, Mexico, vol. 1, pp. 782-785, 2003.
Q. Duan, E. Angelini, T. Song, and A. Laine, "Fast interpolation algorithms for three-dimensional real-time cardiac ultrasound," Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS), Cancun, Mexico, vol. 2, pp. 1192-1195, 2003.
E. D. Angelini, J. Holmes, A. Laine, S. Homma,, “Segmentation of RT3D ultrasound with implicit deformable models without gradients”, 3rd International Symposium on Image and Signal Processing and Analysis, Rome, Italy, 2003.
2002
E.D. Angelini, D. Hamming, S. Homma, J. Holmes, and A. Laine, “Comparison of segmentation methods for analysis of endocardial wall motion with real-time three-dimensional ultrasound,” proceedings of Computers in Cardiology , Memphis TN, USA,vol. 1, pp. 609-612, 2002.
E. D. Angelini, J. Kalifa,and A. F. Laine, “Harmonic multiresolution estimators for denoising and regularization of SPECT-PET data,” Proceedings of the IEEE International Symposium on Biomedical Imaging (ISBI), Washington, D.C., USA, vol. 1, pp. 697-700; 2002.
E. Angelini, C. Imielinska,Y. Jin, and A. Laine, “Improving statistics for hybrid segmentation of high-resolution multichannel images,” Proceedings of SPIE Annual meeting on Medical Imaging, pp. 401-411, 2002.
1999-2001
E. D. Angelini, A. F. Laine, J. Donis, D. Gersony, and S. Homma, “Quantification of right and left ventricular function with real-time three-dimensional ultrasound”, International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Istanbul, Turkey, pp. 2587-2590, 2001.
E. Angelini, S. Takuma, A. Laine, and S. Homma, “Quantification of LV volumes with 4D real-time echocardiography”, AInternational Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Chicago, IL, USA,vol. 1, pp. 325-327, 2000.
E. Angelini, S. Takuma, A. Laine, and S. Homma, “Spatio-temporal directional analysis of 4D echocardiography,” Proceedings of SPIE- 45th Annual Meeting, San Diego, CA, USA, pp. 605-614, 2000.
E. Angelini, A. Laine, S. Takuma, and S. Homma, “Directional representations of 4D echocardiography for temporal quantification of LV volumes,” Proceedings of Medical Imaging and Computer-Assisted Intervention (MICCAI), Cambridge, England, pp. 430-440, 1999.
Abstracts
M. Vameghestahbanati, M. Anacleto-Dabarno, E. Hoffman, M. Kirby, N. Allen, E. Angelini, [...], B. Smith, “Airway tree caliber heterogeneity and airflow obstruction”, European Respiratory Journal; 58: Suppl. 65, PA1875, 2021.
E. D. Angelini, J. X. Yang, J. Yang, A. Swift, P. P. Balte, E. A. Hoffman, N. B. Allen, J. Lima, E. Donnelly Michos, M. R Prince, Y. Sun, K. E. Watson, A. F. Laine, R. G. Barr, “Cardiovascular Correlates of Machine-learned Quantitative Emphysema Subtypes. The Multi-Ethnic Study of Atherosclerosis (MESA) COPD Study”, American Thoracic Society Meeting, 2020.
E. D. Angelini, Y. Sun, J. Yang, P. P. Balte, E. A. Hoffman, N. B. Allen, K. E. Watson, A. F. Laine, R. G. Barr, “Longitudinal Progression of Machine-Learned Quantitative Emphysema Subtypes. The MESA COPD Study” ”, American Thoracic Society Meeting, 2020.
M. Zusag, R. Angheleanu, H. Norhan, L. Nwankwo, J. Periselneris, D. Armstrong-James, M. Loebinger, S. Desai, T. Semple, E. Angelini, A. Shah, “Weakly supervised deep learning on CT scans predicts survival from Chronic Pulmonary Aspergillosis”, British Thoracic Society Meeting, 2018.
J. Yang, E. D. Angelini, P. P. Balte, E. A. Hoffman, J. H.M. Austin, B. M. Smith, E. R. Bleecker, R. Bowler, C. Cooper, D. Couper, M. Dransfield, M. K Han, N. N. Hansel, F. J Martinez, R. Paine, P. G. Woodruff, V. E. Ortega, A. F. Laine, R. G. Barr, “Unsupervised Machine-learning of Novel Emphysema Subtypes: The Subpopulations and Intermediate Outcome Measures in COPD Study (SPIROMICS)”, European Respiratory Society Meeting, 2018.
J. Yang, E. D. Angelini, P. P. Balte, E. A. Hoffman, J. H.M. Austin, B. M. Smith, E. R. Bleecker, R. Bowler, C. Cooper, D. Couper, M. Dransfield, M. K Han, N. N. Hansel, F. J Martinez, R. Paine, J. Schroeder, P. G. Woodruff, V. E. Ortega, A. F. Laine, R. G. Barr, “Unsupervised Discovery of Spatially-Informed Lung Texture Pattern (sLTP) for Pulmonary Emphysema Subtypes: The Subpopulations and Intermediate Outcome Measures in COPD Study (SPIROMICS)”, American Thoracic Society Meeting, 2018.
W. Meiniel, J.-C. Olivo-Marin, E. Angelini, "Fusion of Sparse Reconstructions", Signal Processing with Adaptive Sparse Structured Representations (SPARS) workshop, Lisbon, Portugal, to be presented, 2017
Y. Le Montagner, E. Angelini, J.-C. Olivo-Marin, "Video sampling and reconstruction using linear or non-linear Fourier measurements", 10th International Conference on Sampling Theory and Applications (SampTA), Bremen, Germany, 2013.
L. Bibin, J. Anquez, A. Hadjem, E. D. Angelini, J. Wiart, I. Bloch. " Dosimetry studies on a fetus model combining medical image information and synthetic woman body". 11th World Congress on Medical Physics and Biomedical Engineering, Munich, Germany, pp. 378-379, Sept. 2009.
M. Marim, E. Angelini and J.C. Olivo-Marin, "A compressed sensing approach for biological microscopic image denoising", Workshop SPARS, St Malo, France, Apr 2009.
B. Batrancourt, D. Hasboun, J. Atif, C. Hudelot, E. Angelini , I. Bloch, "A clustering view of the human brain mapping literature and an anatomo-functional cerebral model",, Human Brain Mapping, Florence, Italy, June 2006.
C. Hudelot, J. Atif, O. Nempont, B. Batrancourt, E. Angelini , I. Bloch, "GRAFIP: a framework for the representation of healthy and pathological anatomical and functional cerebral information", Human Brain Mapping, Florence, Italy, June 2006.
E. D. Angelini, T. Song, A. Laine, "Segmentation and quantitative evaluation of brain MRI data with multiphase three-dimensional implicit deformable models", SIAM Conference on Imaging Science, Minneapolis, MA, USA, May 15-17 2006.
P. Chao,E. Angelini, Z. Tang, W. Chang, J. Bulinski, A. West, and C. Hung, “Novel application of microfluidic channels in studying cell migration and reorientation in response to direct current electric fields,” proceedings of the ASME International Mechanical Engineering Congress, New Orleans, LA, USA, 2002.
E. D. Angelini, C. Imielinska, Y. Jin, D. Metaxas, and J. Udupa, “Combining signal information and statistics for high resolution segmentation of radiological images,” Proceedings of First SIAM Conference on Imaging Science, Boston, MA, USA, 2002.
D. R. Gersony, E. D. Angelini, J. Donis, C. Dimayuga, R. J. Barst, R. Saouaf, M. D. Tullio, A. Laine, and S. Homma, “Denoising with brushlet analysis improves real-time three-dimensional calculation of right ventricular function in pulmonary hypertension patients,” proceedings of the Scientific Session of the American College of Cardiology, Atlanta, GA, USA, 2002.
J. Donis, E. Angelini, S. Takuma, A. Laine, and S. Homma, “Use of brushlet analysis for denoising of real-time three dimensional echocardiographic data for quantification of left ventricular volumes and ejection fraction,” Proceedings of 12th Annual Scientific Session of the American Society of Echocardiography, Seattle, WA, USA, 2001.
S. Takuma, E. Angelini, K. Yoshiara, R. Liu, M. Kazanowski, C. Dimayuga, K. Makita, M. R. D. Tullio, J. W. Holmes, A. F. Laine, and S. Homma, “Fully automated 3D boundary detection in real-time 3D echocardiography,” Journal of American College of Cardiology, vol. 35, pp. 469A, 2000.
S. Takuma, C. Dimayuga, E. Angelini , T. Hozumi, A. Fard, A. Laine, M. R. D. Tullio, and S. Homma, “Comparison of 3 different 3 dimensional echo methods for volumes determination,” Journal of the American Society of Echocardiography, vol. 13, pp. 490, 2000.
S. Takuma, E. Angelini, A. Laine, S. Homma, T. Ota, and J. Yoshikawa, “Full automatic 3D boundary detection of real-time 3D echocardiography,” Journal of Cardiology, vol. 34, pp. 420, 1999.
M. Vameghestahbanati, L. Kingdom, E. Hoffman, M. Kirby, N. Allen, E. Angelini, A. Bertoni, Q. Hamid, J. Hogg, D. Jacobs Jr, A. Laine, F. Maltais, E. Michos, C. sack, D. Sin, K. Watson, A. Wysoczanksi, D. Couper, D. Cooper, M. Han, P. Woodruff, W. Tan, J. Bourbeau, R. G. Barr, B. Smith, “Airway tree caliber heterogeneity and airflow obstruction among older adults", Journal of Applied Physiology, accepted 2024
S. N. Naik, R. Forlano, P. Manousou, R. Goldin, E. D. Angelini, “Fibrosis severity scoring on Sirius red histology with multiple-instance deep learning”, Biological Imaging, Vol. 3, pp. e17, 2023.
E. D. Angelini, J. Yang, P. P. Balte, E. A. Hoffman, A. Manichaikul, Y. Sun, W. Shen, J. H.M. Austin, N. B. Allen, E. R. Bleecker, R. Bowler, M. H. Cho, C. S. Cooper, D. Couper, M. Dransfield, C. K. Garcia, M. K Han, N. N. Hansel, E. Hughes, D. R. Jacobs, S. Kasela, J. D. Kaufman, J. S Kim, T. Lappalainen, J. Lima, D. Malinsky, F. J Martinez, E. C Oelsner, V. E. Ortega, R. Paine, W. Post, T. Pottinger, M. R Prince, S. S. Rich, E. K. Silverman, B. M. Smith, A. J Swift, K. E. Watson, P. G. Woodruff, A. F. Laine, R. G. Barr, “Pulmonary Emphysema Subtypes Defined by Unsupervised Machine Learning on Computed Tomography Scans”, Thorax, 2023.
M. Vameghestahbanati, C. Sack, A. Wysoczanski, E. Hoffman, E. Angelini, N. Allen, A. Bertoni, J. Guo, D. Jacobs, J. Kaufman, A. Laine, C.-L. Lin, D. Malinsky, E. Michos, E. Oelsner, S. Shea, K. Watson, A. Benedetti, R. G. Barr, B. Smith, ”Association of dysanapsis with mortality among older adults”, European Respiratory Journal, Vol. 61, No. 6, 2023.
Z. Huang, Y. Gan, T. Lye, H. Zhang, A. Laine, E. Angelini, C. Hendon, “Cardiac Adipose Tissue Segmentation via Image- Level Annotations”, IEEE Journal of Biomedical and Health Informatics (JBHI), pp. 1-12, 2023.
R. Mehta, A. Filos A, [..] E. Angelini, [..], S. Bakas, Y.Gal, T. Arbel, "QU-BraTS: MICCAI BraTS 2020 Challenge on quantifying uncertainty in brain tumor segmentation-analysis of ranking scores and benchmarking results", Journal of Machine Learning for Biomedical Imaging (MELBA), 2022.
X. Zhang, E. D.Angelini, F. S.Haghpanah, A. F.Laine, Y. Sun, G. T.Hiura, S. M.Dashnaw, M. R. Prince, E. A.Hoffman, B. Ambale-Venkatesh, J. A.Lima, J. M.Wild, E. W. Hughes, R. G. Barr, W. Shen, "Quantification of lung ventilation defects on hyperpolarized MRI: The Multi-Ethnic Study of Atherosclerosis (MESA) COPD study", Magnetic Resonance Imaging, Vol. 92, 2022.
C. Dai, S. Wang, Y. Mo, E. Angelini, Y. Guo, W. Bai, "Suggestive annotation of brain MR images with gradient-guided sampling", Medical Image Analysis, Vol. 77, pp. 102373, 2022.
Sam F Greenbury, Nicholas T Longford, Kayleigh Ougham, Elsa D Angelini, Cheryl Battersby, Sabita Uthaya, Neena Modi, "A whole population cohort study of changes in neonatal admissions, care processes and outcomes in England and Wales during the COVID-19 pandemic", BMJ Open, accepted, 2021.
J. Yang , E. D. Angelini, P. P. Balte, E. A. Hoffman, J, H. M. Austin, B. M. Smith, R. G. Barr, A. F. Laine, “Novel subtypes of pulmonary emphysema based on spatially-informed lung texture learning: The Multi-Ethnic Study of Atherosclerosis (MESA) COPD Study, IEEE Transactions on Medical Imaging, 2021.
S. F Greenbury, E. D Angelini, K. Ougham, C. Battersby, C. Gale, S. Uthaya, N. Modi, “Birthweight and patterns of postnatal weight gain in very and extremely preterm babies in England and Wales from 2008-2019”, The Lancet Child & Adolescent Health, Vol. 5, No. 10, pp. 719-728, 2021.
S. Greenbury, K. Ougham, J. Wu, C. Battersby, C. Gale, N. Modi, E. Angelini, "Identification of variation in nutritional practice in neonatal units in England and association with clinical outcomes using agnostic machine learning", Nature Scientific Reports, Vol. 11, No.1, pp. 1-5, 2021.
E. Angelini, A. Shah, “Using Artificial Intelligence in Fungal Lung Disease: CPA CT Imaging as an Example”, Mycopathologia, p. 1-5, 2021
G. Yang, J. Chen, Z Gao, S. Li, H. Ni, E. Angelini, T. Wong, R. Mohiaddin, E. Nyktari, R. Wage, L. Xu, Y. Zhang, X. Du, H. Zhang, D. Firmin, J. Keegan, “Simultaneous left atrium anatomy and scar segmentations via deep learning in multiview information with attention”, Future Generation Computer Systems: the international journal of grid computing: theory, methods and applications, Vol. 107, pp. 215-228, 2020.
E. Angelini, S. Dahan, A. Shah, “Unravelling machine learning: insights in respiratory medicine”, European Respiratory Journal, Vol. 54, No. 6, 2019.
S. Ebrahimi, L. Gajny, C. Vergari, E. Angelini, W. Skalli, “Vertebral rotation estimation from frontal X-rays using a quasi- automated pedicle detection method”, European Spine Journal, Vol. 28, No. 12, pp. 3026-3034, 2019.
M. Wang, C. P. Aaron, J. Madrigano, E. A. Hoffman, E Angelini, J. Yang, A. Laine, T. M. Vetterli, P. L. Kinney, P. D. Sampson, L. E. Sheppard, A. A. Szpiro, S. D. Adar, K. Kirwa, B. Smith, D. J. Lederer, A. V. Diez-Roux, S. Vedal, J. D. Kaufman, R. G. Barr, “Association between long-term exposure to ambient air pollution and change in quantitatively assessed emphysema and lung function”, JAMA, Vol. 322, No. 6, pp. 546-556, 2019.
J. Yang, X. Feng, A. Laine, E. Angelini, “Characterizing Alzheimer's disease with image and genetic biomarkers using supervised topic models”, IEEE Journal of Biomedical and Health Informatics. 2019.
E. Roccia, A. Mikhno , R. T. Ogden, J. J. Mann, A. F. Laine, E. D. Angelini, F. Zanderigo, “Quantifying brain [18F]FDG uptake noninvasively by combining medical health records and dynamic PET imaging data”, IEEE Journal on Biomedical and Health Informatics, 2019.
Y. Ling, W. Meiniel, R. Singh-Moon, E. Angelini, J.-C. Olivo-Marin, C. P. Hendon, “Compressed sensing-enabled phase- sensitive swept-source optical coherence tomography”, Optics Express, Vol. 27, No. 2, pp. 855-871, 2019
L. Gajny, S. Ebrahimi, C. Vergari, E. Angelini, W. Skalli, “Quasi-automatic 3D reconstruction of the full spine from low- dose biplanar X-rays based statistical inferences and image analysis”, European Spine Journal, pp. 1-7, 2018.
S. Ebrahimi, L. Gajny, W. Skalli, E. Angelini, “Vertebral Corners Detection on Sagittal X-rays based on Shape Modelling, Random Forest Classifiers and Dedicated Visual Features”, Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization (TCIV), pp. 1-13, 2018.
W. Meiniel, J.-C. Olivo-Marin, E. Angelini, “Denoising of microscopy images: a review of the state- of-the-art, and a new sparsity-based method”, IEEE Transactions on Image Processing, Vol. 27, No.8, pp. 3842-3856, 2018.
C.P. Aaron, J.E. Schwartz, E.A. Hoffman, E. Angelini, J.H.M. Austin, M. Cushman, D.R. Jacobs, J.D. Kaufman, A. Laine, L. Smith, J. Yang, K.E. Watson, R.P. Tracy, R.G. Barr, "A Longitudinal Cohort Study of Aspirin Use and Progression of Emphysema-like Lung Characteristics on CT Imaging: The MESA Lung Study", Chest, 2018 http://dx.doi.org/10.1016/j.chest.2017.11.031).
D. Lesage, E. D. Angelini, G. Funka-Lea, I. Bloch, "Adaptive particle filtering for coronary artery segmentation from 3D CT angiograms", Computer Vision and Image Understanding, Vol. 151, pp. 29-46, 2016.
A. Mikhno, F. Zanderigo, R. T. Ogden, J. J. Mann, E. D. Angelini, A. F. Laine, R. V. Parsey, "Toward Noninvasive Quantification of Brain Radioligand Binding by Combining Electronic Health Records and Dynamic PET Imaging Data", IEEE Journal of Biomedical and Health Informatics, Vol. 19, No. 14, pp. 1271-1282, 2015
S. Dahdouh, E. D. Angelini, G. Grange, I. Bloch, "Segmentation of embryonic and fetal 3D ultrasound images based on pixel intensity distributions and shape priors", Medical Image Analysis, Vol. 24, No. 1, pp. 255-268, 2015.
N. Varsier, S. Dahdouh, A. Serrurier, J. P. de la Plata, J. Anquez, E. Angelini, I. Bloch, J. Wiart, "Influence of pregnancy stage and fetus position on the whole-body and local exposure of the fetus to RF-EMF", Physics in Medicine and Biology, Vol 59, pp. 4913–4926, 2014.
S. Dahdouh, N. Varsier, A. Serrurier, J. P. de la Plata, J. Anquez, E. Angelini, J. Wiart, I. Bloch, "A comprehensive tool for image-based generation of fetus and pregnant women mesh models for numerical dosimetry studies", Physics in Medicine and Biology, Vol 59, pp. 4583-4602, 2014.
Y. Hame, E. Angelini, E. Hoffman, G. Barr, A. Laine, "Adaptive quantification and longitudinal analysis of pulmonary emphysema with a hidden Markov measure field model", IEEE Transactions on Medical Imaging, Vol. 33, No.7, pp. 1527 - 1540, 2014.
S. Audiere, E. Angelini, L. Sandrin, M. Charbit, "Maximum likelihood estimation of shear wave speed in transient elastography", IEEE Transactions on Medical Imaging, Vol. 33, No. 6, pp. 1338 - 1349 , 2014.
Y. Le Montagner, E. Angelini, J.-C. Olivo Marin, "An unbiased risk estimator for image denoising in the presence of mixed Poisson-Gaussian noise", IEEE Transactions on Image Processing, Vol 23, No. 3, pp. 1255-1268, 2014
V. Israel-Jost, J. Darbon, E. D. Angelini, I. Bloch. “Conciliating Syntactic and Semantic Constraints for Multi-Phase and Multi-Channel Region Segmentation”, Computer Vision and Image Understanding, Vol. 117, No. 8, pp. 819–826, 2013.
P. Schmitt, E. Mandonnet, A. Perdreau, E. D. Angelini. “Effects of slice thickness and head rotation when measuring glioma sizes on MRI: In support of volume segmentation versus two largest diameters”, Journal of Neuro-oncology, Vol. 112, No. 2, pp. 165-172, 2013.
J. Anquez, E. D. Angelini, G. Grange, I. Bloch, “Automatic segmentation of ante-natal 3D ultrasound images”, IEEE Transactions on Biomedical Engineering, Vol. 60, No. 5 , pp. 1388-400, 2013.
A. Katouzian, E. Angelini, S. G. Carlier, J. S. Suri, N. Navab, A. F. Laine,"A state of the art review on segmentation algorithms in intravascular ultrasound (IVUS) images", IEEE Transactions on Information Technology in BioMedicine Vol. 16, No 5, pp. 823 – 834, 2012.
E. Altendorf, E. Decenciere, D. Jeulin, P. De Sa Peixoto, A. Deniset-Besseau, E. Angelini, G. Mosser, M.-C. Schanne-Klein, "Imaging and 3D Morphological Analysis of Collagen Fibrils", Journal of Microscopy, Vol. 247, No. 2, pp. 161-175, 2012.
E Angelini, J. Delon, A. Boubacar Bah, L. Capelle, E, Mandonnet, "Differential MRI Analysis for Quantification of Low Grade Glioma Growth", Medical Image Analysis, Vol. 12, No 1, pp. 114–126, 2012.
T. Ius, E. Angelini, M. Thiebaut de Schotten, E. Mandonnet, H. Duffau, "Evidence for potentials and limitations of brain plasticity using an atlas of functional resectability of WHO grade II gliomas: towards a "minimal common brain", Neuroimage, Vol. 56, No. 3, pp. 992-1000, 2011.
M. de Moraes Marim, M. Atlan, E. Angelini, J.-C. Olivo-Marin, "Off-axis compressed holographic microscopy in low-light conditions", Optics Letter, vol.36,No.1, pp. 79-81, 2011.
L. Bibin, J. Anquez, J.P. de la Plata Alcalde, T. Boubekeur, E. D. Angelini, I. Bloch, "Whole-body pregnant woman modeling by digital geometry processing with detailed utero-fetal unit based on medical images", IEEE Transactions on Biomedical Engineering, vol. 57, No. 10, pp. 2346-2358, 2010.
M. de Moraes Marim, M. Atlan, E. Angelini, J.-C. Olivo-Marin, "Compressed Sensing with off-axis frequency-shifting holography", Optics Letter, vol. 35, No6, pp. 871-873, 2010.
Q. Duan, E. Angelini, A. Laine, "Real-time segmentation by Active Geometric Functions", Computer Methods and Programs in Biomedicine, vol. 98,Pages 223-230, 2010.
Q. Duan, E. Angelini, A. Laine, "Surface Functions Active", Journal of Visual Communication and Image Representation, vol. 20, 2009.
D. Lesage, Elsa D. Angelini, G. Funka-Lea, I. Bloch, " A review of 3D vessel lumen segmentation techniques: Models, features and extraction Schemes", Medical Image Analysis, Vol. 13, pp. 819-845, 2009.
L. Bibin, J. Anquez, E. D. Angelini, I. Bloch. "Hybrid 3D pregnant woman and fetus modeling from medical imaging for dosimetry studies". International Journal of Computer Assisted Radiology and Surgery, 2009
O.Nempont, J. Atif, E. Angelini, I. Bloch, "A new fuzzy connectivity measure for fuzzy sets and associated fuzzy attribute openings, Journal of Mathematical Imaging and Vision, vol. 34, pp. 107-136, 2009.
Q. Duan, E. D. Angelini, S. L. Herz, C. M. Ingrassia, K. D. Costa, J. W. Holmes, S. Homma, and A. F. Laine,, “Region-based endocardium tracking on real-time three-dimensional ultrasound”, Ultrasound in Medicine and Biology, Vol. 35, No. 2, pp. 256–265, 2009.
A. Moreno, S. Chambon, A. Santhanam, J. Rolland, E. Angelini and I. Bloch, "Combining a breathing model and tumor-specific rigidity constraints for registration of CT-TEP thoracic data", Computer Assisted Surgery, Vol. 13, No. 5, pp 281-298, 2008.
J. Puentes, B. Batrancourt, J. Atif, E. Angelini, L. Lecornu, A. Zemirline, I. Bloch, G. Coatrieux, C. Roux, "Integrated multimedia electronic patient record and graph-based image information for cerebral tumors", Computers in Biology and Medicine, vol. 38, pp: 425-437, 2008.
E. D. Angelini, O. Clatz, E. Mandonnet, E. Konukoglu, L. Capelle and H. Duffau, "Glioma dynamics and computational models: A review of segmentation, registration and in silico growth algorithms and their clinical validations", Current Medical Imaging Review, vol. 3, No. 4, pp 262-276, 2007.
E. Angelini, T. Song, B. Mensh, and A. Laine, "Brain MRI segmentation with multiphase minimal partitioning: A comparative tudy", International Journal of Biomedical Imaging, vol. 2007, Article ID 10526, 15 pages, 2007
.E. Angelini , S. Homma, G. Pearson, J. Holmes, A. Laine "Segmentation of Real-time three-dimensional ultrasound for quantification of ventricular function: a clinical study on right and left ventricles," Ultrasound in Medicine and Biology, vol. 31, No. 9, pp 1143-1158, 2005.
P.-H. G. Chao, Z. Tang, E. Angelini , A. C. West, K. D. Costa and C. T. Hung, " Dynamic osmotic loading of chondrocytes using a novel microfluidic device " Journal of Biomechanics 38(6), pp 1273-1281, 2005.
E. Angelini, E. Ciaccio, “Optimized region finding and edge detection of knee cartilage surfaces from magnetic resonance images”, Annals of Biomedical Engineering, vol. 31, issue 3, pp 336-345, 2003
E. Angelini , A. Laine, S. Takuma, J. Holmes, and S. Homma, “LV volume quantification via spatio-temporal analysis of real-time 3D echocardiography,” IEEE Transactions on Medical Imaging, vol. 20, pp 457-469, 2001.
Book Chapters
A. Katouzian, E. Angelini, B. Sturm, E. Konofagou, S. Carlier, A. Laine, "Applications of Multiscale Overcomplete Wavelet-based Representations in Intravascular Ultrasound (IVUS) Images", in Ultrasound Imaging (Advances and Applications), Eds. J. M. Sanches, A. F. Laine, J. S. Suri, Springer, pp. 313-336, 2012.
Q. Duan, E. Angelini, A. F. Laine, J. S. Suri, "Real-Time 4D Cardiac Segmentation by Active Geometric Functions", in Ultrasound Imaging (Advances and Applications), Eds. J. M. Sanches, A. F. Laine, J. S. Suri, Springer, pp. 225-253, 2012. link to erratum specifying correct list of authors.
Q. Duan, E. Angelini, O. Gerard, K. D. Costa, J. W. Holmes, S. Homma and A. Laine, "Cardiac Motion Analysis Based on Optical-Flow of Real-Time 3-D Ultrasound Data", Chapter 9 in Advances in Diagnostic and Therapeutic Ultrasound Imaging, Eds. J. S. Suri, C. Kathuria, R.-F. Chang, F. Molinari, A. Fenster, Artech House, pp. 227-246, 2008.
C. Cavaro-Menard, A. Nait-Ali, J-Y Tanguy, E. Angelini, C. Le Bozec, J-J Le Jeune, “Specificities of Physiological Signals and Medical Images”, Compression of Biomedical Images and Signals, Wiley, pp. 43-74, 2008.
Q. Duan, E. Angelini, S. Homma and A. Laine, "Tracking Endocardium using Optical Flow along Isovalue Curve", Chapter 14 in Principles and Advanced Methods in Medical Imaging and Image Analysis, Eds. A. P. Dhawan, H. K. Huang, D.-S. Kim, World Scientific Publishing, Singapore, pp. 337-360, 2008.
Y. Jin, E. Angelini , and A. Laine, "Wavelets in Medical Image Processing: Denoising, Segmentation, and Registration," in Handbook of Biomedical Image Analysis Vol 1- Segmentation Models - Part a, Ed.: D. L. W. Jasjit Suri, Swamy Laximinarayan Kluwer Academic/ Plenum Publishers, pp. 305-358, 2005.
E. Angelini , Y. Jin, and A. Laine, "State-of-the-Art of Levelset Methods in Segmentation and Registration of Medical Imaging Modalities," in Handbook of Biomedical Image Analysis- Registration Models, Ed.: D. L. W. Jasjit Suri, Swamy Laximinarayan, Kluwer Academic/ Plenum Publishers, pp. 47-102, 2005.
E. Angelini and A. Laine, “Spatio-temporal directional analysis of real-time three dimensional cardiac ultrasound,” in Wavelets in Signal and Image Analysis, F. Meyer and A. Petrosian, Eds.: Kluwer Academic Publishers, 2001 .
Conferences - peer reviewed
2024
M. Seince, L. Le Folgoc, L. Facury De Souza, E. Angelini, "Dense Self-Supervised Learning for Medical Image Segmentation", International Conference Medical Imaging with Deep Learning (MIDL), to be presented, 2024.
X. Zhang, Y. Wu, E. Angelini, A. Li, J. Guo, J. M. Rasmussen, T. G O'Connor, P. D. Wadhwa, A. P. Jackowski, H. Li, J. Posner, A. F. Laine, Y. Wang , “MAPSeg: Unified unsupervised domain adaptation for heterogeneous medical image segmentation based on 3D masked autoencoding and pseudo-Labeling”, CVPR, to be presented, 2024.
X. Zhang, E. D. Angelini, E. A. Hoffman, K. E. Watson, B. M. Smith, R. G. Barr, A. F. Laine, “Robust quantification of percent emphysema on CT via domain attention: the Multi-Ethnic Study of Atherosclerosis (MESA) Lung Study”, IEEE International Symposium on Biomedical Imaging (ISBI), to be presented, 2024.
A. Keshavarzi, E. Angelini, “Few-shot airway-tree modeling using data-driven sparse priors“, IEEE International Symposium on Biomedical Imaging (ISBI), to be presented, 2024.
R. Reme, A. Newson, E. Angelini, J.-C. Olivo-Marin, T. Lagache, “Particle tracking in biological images with optical-flow enhanced Kalman filtering““, IEEE International Symposium on Biomedical Imaging (ISBI), to be presented, 2024.
E. Dereure, C. Kervazo, J. Seguin, A. Garofalakis, N. Mignet, E. Angelini, J.-C. Olivo-Marin, “Wavelet-based sparse non-negative matrix factorization for bioluminescent imaging unmixing“, IEEE International Symposium on Biomedical Imaging (ISBI), to be presented, 2024.
I. Mounime, W. Lee, T. Marin, P. Han, Y. Djebra, S. Eslahi, P. Gori, E. Angelini, G. El Fakhri, “Sparsity constrained linear tangent space alignment model (LTSA) for 3D cardiac extracellular volume mapping“, IEEE International Symposium on Biomedical Imaging (ISBI), to be presented, 2024.
S, Naik, E. Angelini, R. G. Barr, N. Allen, A. Bertoni, E. Hoffman, A. Manichaikul, J. Pankow, W. Post, Y. Sun, K. Watson, B. Smith, A. Laine , “Unsupervised airway tree clustering with deep learning: The Multi-Ethnic Study of Atherosclerosis (MESA) lung study”, IEEE International Symposium on Biomedical Imaging (ISBI), to be presented, 2024.
2023
E. Dereure, C. Kervazo, S. Johanne, A. Garofalakis , E. Angelini, N. Mignet, J.-C. Olivo-Marin, “Sparse non-negative matrix factorization for preclinical bioluminescent imaging”, IEEE International Symposium on Biomedical Imaging (ISBI), pp. 1-5, 2023.
A. Wysoczanski, E. Angelini, Y. Sun, B. Smith, E. Hoffman, K. Stukovsky, M. Budoff, K. Watson, J. Carr, E. Oelsner, R G. Barr, A. Laine, “Multi-View CNN for total lung volume inference on cardiac computed tomography”, IEEE International Symposium on Biomedical Imaging (ISBI), pp. 1-5, 2023.
R. Reme, V. Piriou, A. Newson, E. Angelini, J.-C. Olivo-Marin, T. Lagache, “Tracking intermittent particles with self- learned visual features”, IEEE International Symposium on Biomedical Imaging (ISBI), pp. 1-5, 2023.
2022
A. Habis, V. Meas-Yedid, D. Felipe G. Obando, J.-C. Olivo-Marin, E. Angelini, "Smart learning of click and refine for nuclei segmentation on histology images", IEEE International Conference on Image Processing (ICIP), pp. 2281-2285, 2022.
M. Zang, A. Wysoczanski, E. Angelini, A. F. Laine, “3D U-Net sased Semantic segmentation of kidneys and Renal casses on Contrast-enhanced CT”, International Challenge on Kidney and Kidney Tumor Segmentation (KiTS21), pp. 143-150, 2022. [invited paper from participation in the Challenge – ranked 6th – content not peer-reviewed].
2021
A. Wysoczanski, E. Angelini, B. M. Smith, E. Hoffman, G. Hiura, Y. Sun, R. G. Barr, A. F. Laine, “Unsupervised clustering of airway tree structures on high-resolution CT: the MESA Lung Study”, IEEE International Symposium on Biomedical Imaging (ISBI), pp. 1568-1572, 2021.
Z. Huang, H. Zhang, A. F. Laine, E. Angelini, C. Hendon, Y. Gan, “CO-SEG: An image segmentation framework against label corruption”, IEEE International Symposium on Biomedical Imaging (ISBI), pp. 550-553, 2021.
A. Nunes, S. Desai, T. Semple, A. Shah, E. Angelini, “3D pathological signs detection and scoring on CPA CT lung scans”, IEEE International Symposium on Biomedical Imaging (ISBI), pp. 82-85, 2021.
M. Jammes-Floreani, A. F. Laine, E. Angelini, “Enhanced-quality GAN (EQ-GAN) on lung CT scans: toward truth and potential hallucinations”, IEEE International Symposium on Biomedical Imaging (ISBI), pp. 20-23, 2021.
2020
Z. Huang, Y. Gan, T. Lye, H. Zhang, A. Laine, E. Angelini, C. Hendon, “Heterogeneity measurement of cardiac tissues leveraging uncertainty information from image segmentation”, International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), pp. 782-791, 2020.
C. Dai, S. Wang, Y. Mo, E. Angelini, R. Zhou, Y. Guo, W. Bai, “Suggestive annotation of brain tumour images with gradient-guided sampling”, International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), pp. 156-165, 2020.
H. Barbaroux, X. Feng, J. Yang, A. Laine, E. Angelini, “Encoding human cortex using spherical CNNs - a study on Alzheimer's disease classification”, IEEE International Symposium on Biomedical Imaging (ISBI), pp. 1322-1325, 2020.
J. Bayet, T. Hoogenboom, R. Sharma, E. Angelini, “Machine-learning on liver ultrasound to stratify multiple diseases via blood-vessels and perfusion characteristics”, IEEE International Symposium on Biomedical Imaging (ISBI), pp. 1351- 1354, 2020
Z. Huang, Y. Gan, T. Lye, D. Theagene, S. Chintapalli, S. Virdi, A. F. Laine, E. Angelini, C. Hendon, “Segmentation and uncertainty measures of cardiac tissues on Optical Coherence Tomography via convolutional neural networks”, IEEE International Symposium on Biomedical Imaging (ISBI), pp. 1-4, 2020.
2019
C. Dai, Y. Mo, E. Angelini, Y. Guo, W. Bai, “Transfer learning from partial annotations for whole brain segmentation”, MICCAI-Workshops on Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data (DART, MIL3ID), Lecture Notes in Computer Science, vol 11795, pp. 199-206, 2019.
Z. Yang, W. Skalli, C. Vergari, E.D. Angelini, L. Gajny, “Automated spinal midline delineation on biplanar X-rays using Mask R-CNN”, ECCOMAS Thematic Conference on Computational Vision and Medical Image Processing (ViPImage)pp. 307-316, 2019. Best Paper Award.
M. Zusag, S. Desai, M. Di Paolo, T. Semple, A. Shah, E. Angelini, “SAPSAM - Sparsely annotated pathological sign activation maps - a novel approach to train convolutional neural networks on lung CT scans using binary labels only”, IEEE International Symposium on Biomedical Imaging (ISBI), pp. 298-302, 2019.
J. Yang, T. Vetterli, P. Balte, G. Barr, A. Laine, E. Angelini, “Unsupervised domain adaption with adversarial learning (UDAA) for emphysema subtyping on cardiac CT scans: The MESA study”, IEEE International Symposium on Biomedical Imaging (ISBI), pp. 289-293, 2019.
S. Ebrahimi, L. Gajny, W. Skalli, E. Angelini, “Automatic segmentation and identification of spinous processes on sagittal x-rays based on random forest classification and dedicated contextual features”, IEEE International Symposium on Biomedical Imaging (ISBI), pp. 688-691, 2019.
Y Gan, J. Yang, B. M. Smith, P. Balte, E. Hoffman, C. Hendon, R. G. Barr, A. Laine, E. Angelini, “Enhanced generative model for unsupervised discovery of spatially-informed macroscopic emphysema: The mesa COPD study”, IEEE International Symposium on Biomedical Imaging (ISBI), pp. 1212-1215, 2019,
2018
J. Chen, G. Yang, Z. Gao, H. Ni, E. Angelini, T. Wong, R. Mohiaddin, Y. Zhang, X. Du, H. Zhang, J. Keegan, D. Firmin “Multiview two-task recursive attention model for left atrium and atrial scars segmentation”, International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), pp. 455-463, 2018.
G. Yang, J. Chen, Z. Gao, H. Zhang, H. Ni, E. Angelini, R. Mohiaddin, T. Wong, J. Keegan, D. Firmin, “Multiview sequential learning and dilated residual learning for a fully automatic delineation of the left atrium and pulmonary veins from late gadolinium-enhanced cardiac MRI images”, IEEE Engineering in Medicine and Biology Society Conference (EMBC), pp. 1123-1127, 2018.
X. Feng, J. Yang, A. Laine, E. Angelini, "Alzheimer's disease diagnosis based on anatomically stratified texture analysis of the hippocampus in structural MRI", IEEE International Symposium on Biomedical Imaging (ISBI), pp. 1456-1549, 2018
2017
X. Feng, J. Yang, A. Laine, E. Angelini, "Discriminative Localization in CNNs for Weakly-Supervised Segmentation of Pulmonary Nodules”, International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), pp. 568-576, 2017.
J. Yang, E. Angelini, B. M. Smith, P. Balte, E. Hoffman, R. G. Barr, A. Laine, "Unsupervised Discovery of Spatially- Informed Lung Texture Patterns for Pulmonary Emphysema: The MESA COPD Study", International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), pp. 116-124, 2017.
J. Song, J. Yang, B. Smith, P. Balte, E. A. Hoffman, R. G. Barr, A. F. Laine, E. D. Angelini, "Generative Method to Discover Emphysema Subtypes with Unsupervised Learned Using Lung Macroscopic Patterns (LMPs): The MESA COPD study", IEEE International Symposium on Biomedical Imaging (ISBI), pp. 375-378, 2017.
W. Meiniel, P. Spinicelli, E. Angelini, A. Fragola, V. Loriette, F. Orieux, E. Sepulveda, J.-C. Olivo-Marin, "Reducing data acquisition for fast structured illumination microscopy using compressed sensing", IEEE International Symposium on Biomedical Imaging (ISBI), Melbourne, Australia, pp. 32-35, 2017.
2016
J. Yang, E. D. Angelini, P. P. Balte, E. A. Hoffman, C. O. Wu, B. A. Venkatesh, R. G. Barr, A. F. Laine, "Emphysema quantification on cardiac CT scans using hidden Markov measure field model: The MESA Lung Study", International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), pp. 624-631, 2016.
J. Yang, E. D. Angelini, B. M. Smith, J. Austin, E. A. Hoffman, D. A. Bluemke, R. G. Barr, A. F. Laine, "Explaining radiological emphysema subtypes with unsupervised texture prototypes: Mesa COPD Study", MICCAI Workshop on Medical Computer Vision: Algorithms for Big Data, pp. 124-134, 2016.
J. Yang, X. Feng, E. D. Angelini, A. F. Laine; “Texton and sparse representation based texture classification of lung parenchyma in CT images”, International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Orlando, FL USA, pp. 1276-1279, 2016.
S. Ebrahimi, E. Angelini, L. Gajny, W. Skalli, "Lumbar spine posterior corner detection in X-rays using Haar-based features", IEEE International Symposium on Biomedical Imaging (ISBI), Prague, Czech Republic, pp. 180-183 , 2016.
W. Meiniel, Y. Gan, C. Hendon, J.-C. Olivo-Marin, A. Laine, E. Angelini, "Sparsity-based simplification of spectral-domain optical coherence tomography images of cardiac samples", IEEE International Symposium on Biomedical Imaging (ISBI), Prague, Czech Republic, pp. 373-376, 2016.
2015
E. Roccia, A. Mikhno, F. Zanderigo, E. Angelini, T. Ogden, J. J. Mann, R. Parsey, A. F. Laine, "Non-invasive quantification of brain [18F]-FDG uptake by combining medical health records and dynamic PET imaging data", International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Milano, Italy, 2015.
W. Meiniel, E. Angelini, J.-C. Olivo-Marin, "Image denoising by adaptive Compressed Sensing reconstructions and fusions", Proc. SPIE 9597, Wavelets and Sparsity XVI, San Diego, CA, 2015.
Y. Gan, E. Angelini, A. F. Laine, C. Hendon, "BM3D-based ultrasound image denoising via brushlet thresholding", IEEE International Symposium on Biomedical Imaging (ISBI), Brooklyn, NY, USA, pp. 667–670, 2015.
Y. Hame, E. Angelini, M. Patrick, B. Smith, E. Hoffman, G. R. Barr, A. F. Laine, "Equating emphysema scores and segmentations across CT reconstructions: A comparison study", IEEE International Symposium on Biomedical Imaging (ISBI), Brooklyn, NY, USA, pp. 629-632, 2015.
Y. Hame, E. Angelini, M. Patrick, B. Smith, E. Hoffman, G. R. Barr, A. F. Laine, "Sparse sampling and unsupervised learning of lung texture patterns in pulmonary emphysema: MESA COPD study", IEEE International Symposium on Biomedical Imaging (ISBI), Brooklyn, NY, USA, pp. 109-113, 2015.
W. Meiniel, Y. Le Montagner, E. Angelini, J.-C. Olivo-Marin, "Image Denoising by Multiple Compressed Sensing Reconstructions ", IEEE International Symposium on Biomedical Imaging (ISBI), Brooklyn, NY, USA, pp. 1232-1235, 2015.
2014
V. Israel-Jost, J. Darbon, E. D. Angelini, I. Bloch, "On the implementation of the multi-phase region segmentation, solving the hidden phase problem", IEEE International Conference on Image Processing (ICIP), Paris, France, pp. 4338-4342, 2014.
V. Gamarnik, C. Russo, E. Angelini, A. F. Laine, "Toward diagnostic criteria for left ventricular systolic dysfunction from myocardial deformation", IEEE-EMBS International Conferences on Biomedical and Health Informatics", Valencia, Spain, pp. 688 – 692, 2014.
A. Mikhno, E. Angelini, A. F. Laine, "Locally weighted total variation denoising for PSF modeling artifact suppression in PET reconstruction",IEEE International Symposium on Biomedical Imaging (ISBI), Beijing, China, pp. 971-974, 2014.
2013
Y. Le Montagner, E. Angelini, J. C. Olivo-Marin: ‘Biological video reconstruction using linear or non-linear Fourier measurements’. Proc. SPIE 8858, Wavelets and Sparsity XV, San Diego, CA, 2013.
M. Gargouri, J. Tierny, E. Jolivet, P. Petit, E. D. Angelini, “Accurate and robust shape descriptors for the identification of rib cage structures in CT-images with Random Forests”, IEEE International Symposium on Biomedical Imaging (ISBI), San Francisco, CA, USA, pp. 65-68, 2013.
A. Mikhno, E. Angelini, A. F. Laine, B. Bai, “Locally weighted Total Variation denoising for ringing artifact suppression in PET reconstruction using PSF modeling”, IEEE International Symposium on Biomedical Imaging (ISBI), San Francisco, CA, USA, pp. 1252-1255, 2013.
Y. Hame, E. Angelini, E. Hoffman, G Barr, A. F. Laine, “Robust quantification of pulmonary emphysema with a hidden Markov measure field model”, IEEE International Symposium on Biomedical Imaging (ISBI), San Francisco, CA, USA, pp. 382-385, 2013.
Y. Le Montagner, E. Angelini, J.-C. Olivo-Marin, “Phase retrieval with sparsity priors and application to microscopy video reconstruction”, IEEE International Symposium on Biomedical Imaging (ISBI), San Francisco, CA, USA, pp. 604-607, 2013.
S. Dahdouh, A. Serrurier, G. Grange, E. Angelini, I. Bloch, “Segmentation of fetal envelope from 3D Ultrasound images based on pixel intensity statistical distribution and shape priors”, IEEE International Symposium on Biomedical Imaging (ISBI), San Francisco, CA, USA, pp. 1026-1029, 2013.
2012
A. Lorsakul, Q. Duan, C. Russo, E. Angelini, S. Homma, A. Laine, "Impact of temporal resolution on the LV myocardial strain assessment on real-time 3D ultrasound", International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), San Diego, CA, pp. 4075-4078, 2012.
Y. Le Montagner, E. Angelini, J.-C. Olivo-Marin, " Video reconstruction using compressed sensing measurements and 3D Total Variation regularization for bio-imaging applications", IEEE Conference on Image Processing (ICIP), Orlando, FL, USA, pp. 917-920, 2012.
G. Pizaine, R. Prevost, E. Angelini, I. Bloch, S. Makram-Ebeid, "Segmentation-free and multiscale-free extraction of medial information using gradient vector flow- Application to vascular structures". IEEE International Symposium on Biomedical Imaging (ISBI), Barcelona, Spain, pp. 1421-1424, 2012.
M. Charbit, E. D. Angelini, S. Audiere, "Maximum-likelihood estimation of Young's modulus in transient elastography with unknown line-of-sight orientation", IEEE International Symposium on Biomedical Imaging (ISBI), Barcelona, Spain, pp. 1108-1111, 2012.
A. Katouzian, E. Angelini, B. Sturm, A. Laine,"Brushlet segmentation for automatic detection of lumen borders in IVUS images: a comparison study", IEEE International Symposium on Biomedical Imaging (ISBI), Barcelona, Spain, pp. 242-245, 2012.
2011
S. Audiere, E. D. Angelini, M. Charbit, V. Miette "Evaluation of in vivo liver tissue characterization with spectral RF analysis versus elasticity", MICCAI, Toronto, Canada, pp. 387-395, 2011.
A. Lorsakul, Q. Duan, M. J. Po, E. Angelini, S. Homma, A. F. Laine, "Parameterization of real-time 3D speckle tracking framework for cardiac strain assessment", International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Boston, USA, pp. 2654-2657, 2011.
Y. Le Montagner, M. Marim, E. Angelini, J.-C. Olivo-Marin, "Numerical evaluation of sampling bounds for near-optimal reconstruction in Compressed Sensing", IEEE International Conference on Image Processing (ICIP), Brussels, Belgium, pp. 3073-3076, 2011.
Y. Le Montagner, M. Marim, E. D. Angelini, J.-C. Olivo-Marin, " Numerical evaluation of subsampling effects on image reconstruction in Compressed-Sensing microscopy", SPIE Wavelet XIII, Vol. 8138 / Applications of Sparse Representations in Bioimaging, San Diego, CA, USA, 2011.
J. P. De La Plata, J. Anquez, L. Bibin, T. Boubekeur, E. Angelini, I. Bloch , "FEMONUM: A Framework for Whole Body Pregnant Woman Modeling from Ante-Natal Imaging Data" , Eurographics, 2011. Honorable mention of the Dirk Bartz Prize for Visual Computing in Medicine 2011
Y. Le Montagner, E. Angelini, J.-C. Olivo-Marin, "Comparison of reconstruction algorithms in Compressed Sensing applied to biomedical imaging", IEEE International Symposium on Biomedical Imaging (ISBI), Chicago, USA, pp. 105-108, 2011.
G. Pizaine, E. Angelini, I. Bloch, S. Makram-Ebeid, "Vessel geometry modeling and segmentation using convolution surfaces and an implicit medial axis", IEEE International Symposium on Biomedical Imaging (ISBI), Chicago, USA, pp. 1421-1424, 2011.
G. Pizaine, E. D. Angelini, I. Bloch, S, Makram-Ebeid, " Implicit medial representation for vessel segmentation", SPIE Medical Imaging, Vol 7962, Orlando, FL, USA, 2011
2010
S. Audiere, M. Charbit, E. Angelini, V. Miette, J. Oudry, L. Sandrin, “Finite element simulation of shear wave propagation induced by a VCTE probe, Ninth International Conference on the Ultrasonic Measurement and Imaging of Tissue Elasticity”, Snowbird, Utah, USA, 2010.
S. Audiere, M. Charbit, E. D. Angelini, J. Oudry, L. Sandrin, "Measurement of the skin-liver capsule distance on ultrasound RF data for 1D transient elastography", MICCAI, Beijing, China, LNCS 6362, pp:34-41, 2010.
M. de Moraes Marim, E. Angelini, J.-C. Olivo-Marin ,”Denoising in Fluorescence Microscopy Using Compressed Sensing With Multiple Reconstructions and Non-Local Merging”, International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Buenos Aires, Argentina, pp:3394 - 3397, 2010.
A. Katouzian, E. D. Angelini, B. Sturm, and A. F. Laine “Automatic Detection of Luminal Borders in IVUS Images by Magnitude-Phase Histograms of Complex Brushlet Coefficients”, International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Buenos Aires, Argentina, pp: 3073 - 3076, 2010.
M. Marim, M. Atlan, E. Angelini, J.-C. Olivo-Marin, “Compressed Sensing Applications for Biological Microscopy', IEEE Workshop on Signal Processing Systems (SIPS), San Francisco, USA, pp: 216 - 221, 2010.
J. Wojak, E. D Angelini, I. Bloch, "Joint Variational Segmentation of CT_PET data for tumoral lesions", IEEE International Symposium on Biomedical Imaging (ISBI), Rotterdam, NL, pp. 217-220, 2010.
J. Anquez, L. Bibin, E. Angelini, I. Bloch, "Segmentation of the fetal envelope on ante-natal MRI", IEEE International Symposium on Biomedical Imaging (ISBI), Rotterdam, NL, pp. 896-899, 2010.
E. Angelini, J. Delon, L. Capelle, E. Mandonnet, "Contrast mapping and statistical testing for low-grade glioma growth quantification on brain MRI", IEEE International Symposium on Biomedical Imaging (ISBI), Rotterdam, NL, pp. 872-875, 2010.
M. de Moraes Marim, M. Atlan, E. Angelini, J.-C. Olivo-Marin, "Compressed Sensing for Digital Holographic Microscopy", IEEE International Symposium on Biomedical Imaging (ISBI), Rotterdam, NL, pp. 684-687, 2010. This paper received a Best Student Paper Award.
J. Wojak, E. D. Angelini, I. Bloch, "Introducing shape constraint via Legendre moments in a variational framework for cardiac segmentation on non-Contrast CT images", VISAPP, Angers, France, pp. 209-214, 2010.
J. P. de la Alcade, L. Bibin, J. Anquez, T. Boubekeur, E. D. Angelini, I. Bloch, "Physics-based modeling of the pregnant woman", International Symposium in Biomedical Simulation (ISBMS), Phoenix, AZ, USA, pp. 71-81, 2010.
2009
M. Marim, E. D. Angelini, and J.-C. Olivo-Marin, "Compressed Sensing in microscopy with random projections in the Fourier domain", IEEE Intern. Conf. on Image Processing, (ICIP), Cairo, Egypt, pp: 2121 - 2124, 2009.
J. Anquez, T. Boubekeur, L. Bibin, E. D. Angelini, I. Bloch. "Utero-fetal unit and pregnant woman modeling using a computer graphics approach for dosimetry studies", MICCAI, London, UK, pp. 1025-1032, Sept. 2009.
D. Lesage, E. D. Angelini, G. Funka-Lea, I. Bloch, "Bayesian maximal paths for coronary artery segmentation from 3D CT angiograms", MICCAI, London, UK, pp. 222-229, Sept. 2009.
A. Katouzian, E. D. Angelini, A. F. Laine, "Classification of blood regions in IVUS images using three dimensional brushlet expansions ", International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Minneapolis, USA, Sept. 2009
M. Marim, E. D. Angelini, and J.-C. Olivo-Marin, "Compressed sensing in biological microscopy", SPIE International Symposium, Wavelets XIII, Vol. 7446, San Diego,USA , 2009.
M. Marim, E. Angelini and J.-C. Olivo-Marin, " A compressed sensing approach for biological microscopic image processing", IEEE International Symposium on Biomedical Imaging (ISBI), Boston, USA,pp. 1374-1377, 2009.
J. Anquez, E. Angelini and I. Bloch, " Automatic segmentation of head structures on fetal MRI", IEEE International Symposium on Biomedical Imaging (ISBI), Boston, USA, pp. 109-112, 2009.
D. Lesage, E. Angelini, I. Bloch and G. Funka-Lea, "Design and study of flux-based features for 3D vascular tracking", IEEE International Symposium on Biomedical Imaging (ISBI), Boston, USA, pp. 286-289, 2009.
Q. Duan, K. Parker, A. Lorsakul, E. Angelini, E. Hyodo, S. Homma, J. Holmes, A. Laine, "Quantitative Validation of optical flow based myocardial strain measures using sonomicrometry", IEEE International Symposium on Biomedical Imaging (ISBI), Boston, USA, pp. 454-457, 2009.
L. Bibin, J. Anquez, E. Angelini, I. Bloch, "Hybrid 3D modeling of mother and fetus from medical imaging for dosimetry studies", Computer Assisted Radiology and Surgery (CARS), Berlin,Germany, pp. 378-379, 2009.
L. Bibin, J. Anquez, A. Hadjem, E. Angelini, J. Wiart, I. Bloch, "Dosimetry studies on a fetus model combining medical image information and a synthetic woman body", World Congress on Medical Physics and Biomedical Engineering, Munich, Germany, Springer, pp. 321-324, 2009.
S. Audiere,Y. Mofid, M. Charbit, E. Angelini, V. Miette, L. Sandrin, L., "Fibroscan practice improvement with a real-time assistance ultrasound tool: A premiminary study", IEEE International Ultrasonics Symposium, pp. 1455-1458, 2009.
A. Katouzian, E. D. Angelini, A. Lorsakul, B. Sturm, A. F. Laine, "Lumen border detection of intravascular ultrasound via denoising of directional wavelet representations", Functional Imaging and Modeling of the Heart (FIMH), Nice, France, vol. 1, pp. 104-113 June 2009.
Q. Duan, E. D. Angelini, A. Lorsakul, S. Homma, J. Holmes, A. F. Laine, "Coronary occlusion detection with 4D optical flow ", Functional Imaging and Modeling of the Heart (FIMH), Nice, France, vol. 1, pp. 211-219, June 2009.
2008
O. Nempont, J. Atif, E. Angelini, I. Bloch, "Structure segmentation and recognition in images guided by structural constraint propagation", European Conference on Artificial Intelligence (ECAI), Patras, Greece,pp. 652-659, 2008.
O. Nempont, J. Atif, E. Angelini, I. Bloch, "Fuzzy attribute openings based on a new fuzzy connectivity class. Application to structural recognition in images", IPMU, Malaga, Spain, June 2008.
Q. Duan, E. D. Angelini, S. Homma, A. F. Laine, "Real-time segmentation of 4D ultrasound by active geometric functions", IEEE International Symposium on Biomedical Imaging (ISBI), Paris, France, pp. 233-236, May 2008.
D. Lesage, E. Angelini, I. Bloch, G. Funka-Lea, "Medial-based Bayesian tracking for vascular segmentation: Application to coronary arteries in 3D CT angiography", IEEE International Symposium on Biomedical Imaging (ISBI), Paris, France, pp. 268-271, May 2008.
V. Israel-Jost, E. Breton, E. Angelini, P. Choquet, I. Bloch, "Vectorial multi-phase mouse brain tumor segmentation in T1-T2 MRI", IEEE International Symposium on Biomedical Imaging (ISBI), Paris, France, pp. 5-8, May 2008.
J. Anquez, E. Angelini, I. Bloch, "Segmentation of fetal 3D ultrasound images based on statistical prior and deformable model", IEEE International Symposium on Biomedical Imaging (ISBI), Paris, France, pp. 17-20, May 2008.
O. Nempont, J. Atif, E. Angelini, I. Bloch, "A new fuzzy connectivity class. Application to structural recognition in images.", IAPR International Conference on Discrete Geometry for Computer Imagery (DGCI), Lyon, France, vol. LNCS 4992, pp. 446-457, Apr. 2008.
2007
A. Moreno, S. Chambon, A. Santhanam, J. Rolland, E. Angelini and I. Bloch, "Thoracic CT-PET registration using a 3D breathing model", International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), Brisbane, Australia, pp. 626-633, Oct. 2007.
A. Moreno, S. Chambon, A. Santhanam, J. Rolland, E. Angelini and I. Bloch, "CT-PET landmark-based registration using a dynamic lung model", International Conference on Image Analysis and Processing (ICIAP), Modena, Italy, pp. 691-696, Sept. 2007
R. El Berbari, I. Bloch, A. Redheuil, E. Angelini , E. Mousseaux, F. Frouin and A. Herment," An automated myocardial segmentation in cardiac MRI", International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) , Lyon, France, pp. 4508-4511, Aug. 2007.
J. Anquez, E. Angelini , I. Bloch, V. Merzoug, A. E. Bellaiche-Millischer and C. Adamsbaum, "Interest of the steady state free precession (SSFP) sequence for 3D modeling of the whole fetus", International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Lyon, France, pp. 771-774, Aug. 2007
O. Nempont, J. Atif, E. Angelini, I. Bloch, "Combining radiometric and spatial structural information in a new metric for minimal surface segmentation", International Conference on Image Processing in Medical Imaging (IPMI), Kerkrade, The NL, pp. 283-295, July 2007.
Q. Duan, P. Moireau, E. D. Angelini, D. Chapelle, A. Laine, "Simulation of 3D ultrasound with a realistic electro-mechanical model of the heart", International Workshop on Functional Imaging and Modeling of the Heart (FIMH), Springer LNCS 4466, Salt Lake City, USA, pp. 463-473, June 2007.
R. El Berbari, I. Bloch, A. Redheuil, E. Angelini, E. Mousseaux, F. Frouin, A. Herment, "Automated segmentation of the left ventricle including papillary muscles in cardiac magnetic resonance images", International Workshop on Functional Imaging and Modeling of the Heart (FIMH), Springer LNCS 4466, Salt Lake City, USA, pp. 453-462, June 2007.
H. Khotanlou, J. Atif, E. Angelini , H. Duffau and I. Bloch, "Adaptive Segmentation of Internal Brain Structures in Pathological MR Images Depending on Tumor Types", International Symposium on Biomedical Imaging (ISBI), Arlington, VA, USA, pp. 588-591, April 2007.
J. Atif, C. Hudelot, O. Nempont, N. Richard, B. Batrancourt, E. Angelini and I. Bloch, "GRAFIP: A framework for the representation of healthy and pathological cerebral information", International Symposium on Biomedical Imaging (ISBI), Arlington, VA, USA, pp. 205-208, April 2007.
E. Angelini, J. Atif, J. Delon, E. Mandonnet, H. Duffau and L. Capelle, "Detection of glioma evolution on longitudinal MRI studies International Symposium on Biomedical Imaging (ISBI),Arlington, VA, USA,pp. 49-52, April 2007.
Q. Duan, E. Angelini, S. Homma, A. Laine, "Validation of optical-flow for quantification of myocardial deformations on simulated RT3D ultrasound", International Symposium on Biomedical Imaging (ISBI),Arlington, VA, USA, pp. 944-947, April 2007.
J. Atif, C. Hudelot, G. Fouquier, I. Bloch and E. Angelini "From generic knowledge to specific reasoning for medical image interpretation using graph-based representations", International Joint Conference on Artificial Intelligence (IJCAI), Hyderabad, India, pp. 224-229, Jan. 2007.
2006
Q. Duan, E. Angelini S. Homma, A. Laine, "Tracking the endocardium using optical flow along iso-value curves", IEEE EMBS Annual International Conference (EMBC), New York, NY, USA, pp. 707-710, Aug. 30th-Sept. 3rd, 2006.
E. Angelini, O. Gerard, "Review of myocardial motion estimation methods from optical flow tracking on ultrasound data", International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), New York, NY, USA,pp.1537-1540, Aug. 30th-Sept. 3rd 2006.
J. Atif, O. Nempont, O. Colliot, E. Angelini , I. Bloch, "Level set deformable models constrained by fuzzy spatial relation," Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU), Paris, France, pp. 1534-1541, 3-7 July 2006.
J. Puentes, B. Batrancourt, L. Lecornu, J. Atif, G. Coatrieux, E. Angelini , I. Bloch, C. Roux, "Enhancing electronic patient record functionality through information extraction from images," IEEE International Conference On Information & Communication Technologies: From Theory To Applications, Damascus, Syria, vol. 2, pp. 1192-1195, 2006.
Q. Duan, E. Angelini , O. Gerard, S. Homma, and A. Laine, "Comparing optical-flow based methods for quantifiation of myocardial deformations on RT3D ultrasound," IEEE International Symposium on Biomedical Imaging (ISBI), Arlington, VA, USA,pp. 173-176, 2006.
E. Angelini , T. Song, and A. Laine, "Homogeneity measures for multiphase level set segmentation of brain MRI," IEEE International Symposium on Biomedical Imaging (ISBI), Arlington, VA, USA,pp. 746-749, 2006.
P. Soler, G. Delso, N. Villain, E. Angelini , and I. Bloch, "Superresolution spatial compounding techniques, with application to 3D breast ultrasound imaging," SPIE Conference on Medical Imaging, San Diego, CA, USA, Vol. 6147, 2006.
B. Vallet, E. Angelini , and A. Laine, "Variational segmentation framework in prolate spheroidal coordinates for 3D real-time echocardiography," SPIE Conference on Medical Imaging, San Diego, CA, USA, Vol. 6144, 2006.
B. Batrancourt, J. Atif, O. Nempont, E. Angelini, I. Bloch, "Integrating information from pathological brain MRI into an anatomo-functional model," IASTED International conference on Biomedical Engineering, Innsbruck, Austria, 15-17 Feb. 2006.
H. Kothanlou, J. Atif, B. Batrancourt, O. Colliot, E. Angelini, I. Bloch, "Segmentation de Tumeurs Cerebrales et Integration dans un Modele de l’Anatomie", Reconnaissance des Formes et Intelligence Artificielle (RFIA), Tours, France, 25-27 Jan. 2006. 2nd prize AFRIF .
2005
P. Soler, O. Gerard, P. Allain, E. Saloux, E. Angelini , I Bloch "Comparison of fusion techniques for 3D+T echocardiography acquisitions from different acoustic windows", Computers in Cardiology, Lyon, France, 25-28 Sept., pp. 141-144, 2005.
Q. Duan, E. Angelini , S. Herz, C. Ingrassia, O. Gerard, K. Costa, J. Holmes, A. Laine, "Dynamic cardiac information from optical flow using four-dimensional ultrasound", IEEE EMBS conference, Shangai, China, pp. 4465 - 4468, 2005.
Q. Duan, E. Angelini , S. Herz, O. Gerard, P. Allain, C. Ingrassia,K. Costa, J. Holmes, A. Laine, "Tracking of LV endocardial surface on real-time three-dimensional ultrasound with optical flow", Workshop on Functional Imaging and Modeling of the Heart (FIMH), Barcelona, Spain, LNCS 3504, Springer, pp. 434-445 2005.
P. Soler, N. Villain, I. Bloch and E. D. Angelini, "Volume Reconstruction of Breast Echography from Anisotropically Degraded Scans", IASTED International Conference on Biomedical Engineering, Innsbruck, Austria, vol. 9, pp. 349-355, Feb. 2005.
Q. Duan, E. Angelini , S. Herz, C. Ingrassia, O. Gerard, K. Costa, J. Holmes, A. Laine, "Evaluation of optical flow algorithms for tracking endocardial surfaces on three-dimensional ultrasound data", SPIE Symposium on Medical Imaging, San Diego, CA, USA, Feb. 2005
2004
E. D. Angelini, T. Song, B. D. Mensh, A. Laine, "Multi-phase three-dimensional level set segmentation of brain MRI," International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), Saint-Malo, France, vol. 1, pp. 318-326, 2004.
Ting Song, Elsa D. Angelini, Brett D. Mensh, Andrew Laine, "Comparison Study of Clinical 3D MRI Brain Segmentation Evaluation," Annual International Conference IEEE Engineering in Medicine and Biology Society (EMBS), San Francisco, CA, USA., pp. 1671-1674, 2004.
Elsa D. Angelini, Ya Wang, A. Laine, "Classification of Micro Array Genomic Images with Laplacian Pyramidal Filters and Neural Networks", Workshop on Genomic Signal Processing and Statistics (GENSIPS), Baltimore, Maryland, USA, 2004.
E. Angelini, Y. Jin, P. Esser, R. V. Heertum, and A. Laine, "Fusion of brushlet and wavelet denoising methods for nuclear images," Proceedings of the IEEE International Symposium on Biomedical Imaging (ISBI), Arlington, VA, USA,vol. 1, pp. 1187-1191, 2004.
E. Angelini, R. Otsuka, S. Homma, and A. Laine, "Comparison of ventricular geometry for two real time 3D ultrasound machines with three dimensional level set," IEEE International Symposium on Biomedical Imaging (ISBI), Arlington, VA, USA, vol. 1, pp. 1323-1326, 2004.
E. Angelini, T. Song, B. D. Mensh, and A. Laine, "Segmentation and quantitative evaluation of brain MRI data with a multiphase three-dimensional implicit deformable model," SPIE International Symposium on Medical Imaging, San Diego, CA, USA, 2004.
Q. Duan, E. D. Angelini, and A. Laine, "Assessment of fast anisotropic diffusion and scan conversion of real-time three-dimensional spherical ultrasound data for visual quality and spatial accuracy," SPIE International Symposium on Medical Imaging, San Diego, CA, USA, vol. 5370, pp. 526-537, 2004.
2003
Y. Jin, E. Angelini, P. Esser, and A. Laine, "De-noising SPECT/PET images using cross-scale regularization," International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), Montreal, Canada,Vol. 2879, Part II, pp. 32-40, 2003.
Y. Jin, E. Angelini, S. Mangla, I. S. Choi, R. Kemkers, J. Timmer, and A. Laine, "Multiscale denoising and enhancement of 3D rotational X-ray imaging for percutaneous vertebroplasty," Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS), Cancun, Mexico, vol. 1, pp. 782-785, 2003.
Q. Duan, E. Angelini, T. Song, and A. Laine, "Fast interpolation algorithms for three-dimensional real-time cardiac ultrasound," Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS), Cancun, Mexico, vol. 2, pp. 1192-1195, 2003.
E. D. Angelini, J. Holmes, A. Laine, S. Homma,, “Segmentation of RT3D ultrasound with implicit deformable models without gradients”, 3rd International Symposium on Image and Signal Processing and Analysis, Rome, Italy, 2003.
2002
E.D. Angelini, D. Hamming, S. Homma, J. Holmes, and A. Laine, “Comparison of segmentation methods for analysis of endocardial wall motion with real-time three-dimensional ultrasound,” proceedings of Computers in Cardiology , Memphis TN, USA,vol. 1, pp. 609-612, 2002.
E. D. Angelini, J. Kalifa,and A. F. Laine, “Harmonic multiresolution estimators for denoising and regularization of SPECT-PET data,” Proceedings of the IEEE International Symposium on Biomedical Imaging (ISBI), Washington, D.C., USA, vol. 1, pp. 697-700; 2002.
E. Angelini, C. Imielinska,Y. Jin, and A. Laine, “Improving statistics for hybrid segmentation of high-resolution multichannel images,” Proceedings of SPIE Annual meeting on Medical Imaging, pp. 401-411, 2002.
1999-2001
E. D. Angelini, A. F. Laine, J. Donis, D. Gersony, and S. Homma, “Quantification of right and left ventricular function with real-time three-dimensional ultrasound”, International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Istanbul, Turkey, pp. 2587-2590, 2001.
E. Angelini, S. Takuma, A. Laine, and S. Homma, “Quantification of LV volumes with 4D real-time echocardiography”, AInternational Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Chicago, IL, USA,vol. 1, pp. 325-327, 2000.
E. Angelini, S. Takuma, A. Laine, and S. Homma, “Spatio-temporal directional analysis of 4D echocardiography,” Proceedings of SPIE- 45th Annual Meeting, San Diego, CA, USA, pp. 605-614, 2000.
E. Angelini, A. Laine, S. Takuma, and S. Homma, “Directional representations of 4D echocardiography for temporal quantification of LV volumes,” Proceedings of Medical Imaging and Computer-Assisted Intervention (MICCAI), Cambridge, England, pp. 430-440, 1999.
Abstracts
M. Vameghestahbanati, M. Anacleto-Dabarno, E. Hoffman, M. Kirby, N. Allen, E. Angelini, [...], B. Smith, “Airway tree caliber heterogeneity and airflow obstruction”, European Respiratory Journal; 58: Suppl. 65, PA1875, 2021.
E. D. Angelini, J. X. Yang, J. Yang, A. Swift, P. P. Balte, E. A. Hoffman, N. B. Allen, J. Lima, E. Donnelly Michos, M. R Prince, Y. Sun, K. E. Watson, A. F. Laine, R. G. Barr, “Cardiovascular Correlates of Machine-learned Quantitative Emphysema Subtypes. The Multi-Ethnic Study of Atherosclerosis (MESA) COPD Study”, American Thoracic Society Meeting, 2020.
E. D. Angelini, Y. Sun, J. Yang, P. P. Balte, E. A. Hoffman, N. B. Allen, K. E. Watson, A. F. Laine, R. G. Barr, “Longitudinal Progression of Machine-Learned Quantitative Emphysema Subtypes. The MESA COPD Study” ”, American Thoracic Society Meeting, 2020.
M. Zusag, R. Angheleanu, H. Norhan, L. Nwankwo, J. Periselneris, D. Armstrong-James, M. Loebinger, S. Desai, T. Semple, E. Angelini, A. Shah, “Weakly supervised deep learning on CT scans predicts survival from Chronic Pulmonary Aspergillosis”, British Thoracic Society Meeting, 2018.
J. Yang, E. D. Angelini, P. P. Balte, E. A. Hoffman, J. H.M. Austin, B. M. Smith, E. R. Bleecker, R. Bowler, C. Cooper, D. Couper, M. Dransfield, M. K Han, N. N. Hansel, F. J Martinez, R. Paine, P. G. Woodruff, V. E. Ortega, A. F. Laine, R. G. Barr, “Unsupervised Machine-learning of Novel Emphysema Subtypes: The Subpopulations and Intermediate Outcome Measures in COPD Study (SPIROMICS)”, European Respiratory Society Meeting, 2018.
J. Yang, E. D. Angelini, P. P. Balte, E. A. Hoffman, J. H.M. Austin, B. M. Smith, E. R. Bleecker, R. Bowler, C. Cooper, D. Couper, M. Dransfield, M. K Han, N. N. Hansel, F. J Martinez, R. Paine, J. Schroeder, P. G. Woodruff, V. E. Ortega, A. F. Laine, R. G. Barr, “Unsupervised Discovery of Spatially-Informed Lung Texture Pattern (sLTP) for Pulmonary Emphysema Subtypes: The Subpopulations and Intermediate Outcome Measures in COPD Study (SPIROMICS)”, American Thoracic Society Meeting, 2018.
W. Meiniel, J.-C. Olivo-Marin, E. Angelini, "Fusion of Sparse Reconstructions", Signal Processing with Adaptive Sparse Structured Representations (SPARS) workshop, Lisbon, Portugal, to be presented, 2017
Y. Le Montagner, E. Angelini, J.-C. Olivo-Marin, "Video sampling and reconstruction using linear or non-linear Fourier measurements", 10th International Conference on Sampling Theory and Applications (SampTA), Bremen, Germany, 2013.
L. Bibin, J. Anquez, A. Hadjem, E. D. Angelini, J. Wiart, I. Bloch. " Dosimetry studies on a fetus model combining medical image information and synthetic woman body". 11th World Congress on Medical Physics and Biomedical Engineering, Munich, Germany, pp. 378-379, Sept. 2009.
M. Marim, E. Angelini and J.C. Olivo-Marin, "A compressed sensing approach for biological microscopic image denoising", Workshop SPARS, St Malo, France, Apr 2009.
B. Batrancourt, D. Hasboun, J. Atif, C. Hudelot, E. Angelini , I. Bloch, "A clustering view of the human brain mapping literature and an anatomo-functional cerebral model",, Human Brain Mapping, Florence, Italy, June 2006.
C. Hudelot, J. Atif, O. Nempont, B. Batrancourt, E. Angelini , I. Bloch, "GRAFIP: a framework for the representation of healthy and pathological anatomical and functional cerebral information", Human Brain Mapping, Florence, Italy, June 2006.
E. D. Angelini, T. Song, A. Laine, "Segmentation and quantitative evaluation of brain MRI data with multiphase three-dimensional implicit deformable models", SIAM Conference on Imaging Science, Minneapolis, MA, USA, May 15-17 2006.
P. Chao,E. Angelini, Z. Tang, W. Chang, J. Bulinski, A. West, and C. Hung, “Novel application of microfluidic channels in studying cell migration and reorientation in response to direct current electric fields,” proceedings of the ASME International Mechanical Engineering Congress, New Orleans, LA, USA, 2002.
E. D. Angelini, C. Imielinska, Y. Jin, D. Metaxas, and J. Udupa, “Combining signal information and statistics for high resolution segmentation of radiological images,” Proceedings of First SIAM Conference on Imaging Science, Boston, MA, USA, 2002.
D. R. Gersony, E. D. Angelini, J. Donis, C. Dimayuga, R. J. Barst, R. Saouaf, M. D. Tullio, A. Laine, and S. Homma, “Denoising with brushlet analysis improves real-time three-dimensional calculation of right ventricular function in pulmonary hypertension patients,” proceedings of the Scientific Session of the American College of Cardiology, Atlanta, GA, USA, 2002.
J. Donis, E. Angelini, S. Takuma, A. Laine, and S. Homma, “Use of brushlet analysis for denoising of real-time three dimensional echocardiographic data for quantification of left ventricular volumes and ejection fraction,” Proceedings of 12th Annual Scientific Session of the American Society of Echocardiography, Seattle, WA, USA, 2001.
S. Takuma, E. Angelini, K. Yoshiara, R. Liu, M. Kazanowski, C. Dimayuga, K. Makita, M. R. D. Tullio, J. W. Holmes, A. F. Laine, and S. Homma, “Fully automated 3D boundary detection in real-time 3D echocardiography,” Journal of American College of Cardiology, vol. 35, pp. 469A, 2000.
S. Takuma, C. Dimayuga, E. Angelini , T. Hozumi, A. Fard, A. Laine, M. R. D. Tullio, and S. Homma, “Comparison of 3 different 3 dimensional echo methods for volumes determination,” Journal of the American Society of Echocardiography, vol. 13, pp. 490, 2000.
S. Takuma, E. Angelini, A. Laine, S. Homma, T. Ota, and J. Yoshikawa, “Full automatic 3D boundary detection of real-time 3D echocardiography,” Journal of Cardiology, vol. 34, pp. 420, 1999.