Biography

I am assistant professor (enseignant chercheur) at Télécom ParisTech in the IMAGES group where I teach and work on statistical models to analyze medical images and image-derived shapes.

I did my academic training with Inria at the ARAMIS Lab in Paris where I worked with Stanley Durrleman (Inria Researcher), Olivier Colliot (CNRS Research Director) and Nicholas Ayache (Inria Research Director) and then at Neurospin (CEA) with Edouard Duchesnay (CEA Research Scientist), Josselin Houenou (M.D. APHP) and Jean-François Mangin (CEA Research Director). Previous to that, I obtained a MSc in Mathematical Modelling and Computation from the DTU in Copenhagen and a MSc in Biomedical Engineering from the University of Padova.

My research interests lie primarily in the fields of computational anatomy, shape analysis, statistical learning and medical imaging. I participate to the development of the open source software suite deformetrica for the statistical shape analysis of 2D and 3D image and image-derived data (i.e. landmarks, curves, surfaces). I also contributed to the development of the software platform Clinica for clinical neuroimaging studies.

Research Projects

Multi-modal computational functional anatomy

Human organs, such as the brain or the heart, can be seen as intricate complexes composed of inter-connected structures. Diseases might involve dysfunctions in these complexes which could be associated with organisational, morphological, topological and functional alterations of their anatomical components. I work on a unifying computational and statistical framework to jointly analyse these alterations.

Brain white matter tractogram analysis

Explore new geometric representations, metrics and deformation models for fast, robust and reliable processing, comparison and visualization of white matter tractograms.

Multi-modal Data Fusion: learning common and distinctive morphological variations

Investigate new statistical methods to learn common and distinctive morphological variations between different parts of a human organ (i.e. white and gray matter of the brain) or between two different populations (i.e. controls and patients).

Teaching

IMA205 - Machine learning for images and object recognition

Master's level course for 2nd year students of Télécom ParisTech about the main machine learning techniques used for image analysis.

IMA204 - Biomedical imaging

Master's level course for 2nd year students of Télécom ParisTech about medical acquisition techniques, segmentation algorithms, deformation models and statistical shape analysis.

SD-TSIA210 : Machine Learning

Master's level course for 2nd year students of Télécom ParisTech about decision trees and random forests.

BIOMED - Medical image processing

Course of the Computer Science Master (IMA) at UPMC Sorbonne University and Télécom ParisTech about medical acquisition techniques and image processing.

MIA2 - Medical Image Analysis level 2

Course of the BioImaging Master (BIM) at Paris Descartes University and Télécom ParisTech about advanced image processing techniques and clinical applications.

Certificat d’Études Spécialisées (CES) Data Scientist

Formation Certifiante sur l'analyse et gestion de grandes masses de données.

MS Big Data

Mastère Spécialisé sur le Big Data

Supervision experience

Master students

  • Giammarco La Barbera (09/2018 - 02/2019) , Politecnico of Torino , co-supervised with I. Bloch

PhD students

  • Corentin Mercier (since 10/2017) , co-supervised with I. Bloch, J.M. Thiery, D. Rohmer, T. Boubeker and M.P. Cani

Postdocs

  • Pierre Roussillon (since 09/2018) , co-supervised with I. Bloch, J.M. Thiery

Alumni

  • Ariane Fleury (02/2017 - 07/2017) , Master student Paris Descartes University , co-supervised with P. Roca
  • Raphaël Berdugo (05/2017 - 11/2017) , Master student Ensae ParisTech , Now Computer Vision Engineer at Angus
  • Alessandro Delmonte (09/2017 - 02/2018) , Master student Politecnico of Torino , co-supervised with I. Bloch , Now Research Engineer at Necker Hospital (Paris)

Publications

PhD Thesis

  • P. Gori
    Statistical models to learn the structural organisation of neural circuits from multimodal brain images - Application to Gilles de la Tourette syndrome
    PhD Thesis, UPMC, Paris, France  


Journal Articles

  • P. Gori, O. Colliot, L. Marrakchi-Kacem, Y. Worbe, A. Routier, C. Poupon, A. Hartmann, N. Ayache, S. Durrleman
    Double diffeomorphism: combining morphometry and structural connectivity analysis
    IEEE Transactions on Medical Imaging, 2018  

  • P. Gori, O. Colliot, L. Marrakchi-Kacem, Y. Worbe, C. Poupon, A. Hartmann, N. Ayache, S. Durrleman
    A Bayesian Framework for Joint Morphometry of Surface and Curve meshes in Multi-Object Complexes
    Medical Image Analysis, 35, pp.458-474, 2017  

  • P. Gori, O. Colliot, L. Marrakchi-Kacem, Y. Worbe, F. De Vico Fallani, M. Chavez, C. Poupon, A. Hartmann, N. Ayache, S. Durrleman
    Parsimonious Approximation of Streamline Trajectories in White Matter Fiber Bundles
    IEEE Transactions on Medical Imaging, 35(12), pp.2609-2619, 2016  


Conference Articles

  • C. Mercier, P. Gori, D. Rohmer, M-P. Cani, T. Boubekeur, J-M. Thiery, I. Bloch
    Progressive and Efficient Multi-Resolution Representations for Brain Tractograms
    EG VCBM, Eurographics Workshop, 2018   (Oral)  

  • A. Virzi, P. Gori, C. Muller, E. Mille, Q. Peyrot, L. Berteloot, N. Boddaert, S. Sarnacki, I. Bloch
    Segmentation of pelvic vessels in pediatric MRI using a patch-based deep learning approach
    PIPPI MICCAI Workshop, Springer (LNCS), 2018   (Oral)

  • K. Kumar, P. Gori, B. Charlier, S. Durrleman, O. Colliot, C. Desrosiers
    White matter fiber segmentation using functional varifolds
    MICCAI Workshop, Springer (LNCS), 2017  

  • E. Olivetti, G. Berto, P. Gori, N. Sharmin, P. Avesani
    Comparison of distances for supervised segmentation of white matter tractography
    PRNI, IEEE, 2017   (Oral)  

  • P. Gori, O. Colliot, L. Marrakchi-Kacem, Y. Worbe, A. Routier, C. Poupon, A. Hartmann, N. Ayache, S. Durrleman
    Joint Morphometry of Fiber Tracts and Gray Matter Structures Using Double Diffeomorphisms
    IPMI, Springer (LNCS), 2015   (Oral - Acceptance rate: ~5%)  

  • P. Gori, O. Colliot, L. Marrakchi-Kacem, Y. Worbe, F.D.V. Fallani, M. Chavez, S. Lecomte, C. Poupon, A. Hartmann, N. Ayache, S. Durrleman
    A Prototype Representation to Approximate White Matter Bundles with Weighted Currents
    MICCAI, Springer (LNCS), 2014   (Poster - Acceptance rate: ~30%)  

  • A. Routier, P. Gori, A.B. Graciano Fouquier, S. Lecomte, O. Colliot, S. Durrleman
    Evaluation of morphometric descriptors of deep brain structures for the automatic classification of patients with Alzheimer’s disease...
    MICCAI Challenge CADDementia, 2014   (Oral)  

  • P. Gori, O. Colliot, Y. Worbe, L. Marrakchi-Kacem, S. Lecomte, C. Poupon, A. Hartmann, N. Ayache, S. Durrleman
    Bayesian Atlas Estimation for the Variability Analysis of Shape Complexes
    MICCAI, Springer (LNCS), 2013   (Poster - Acceptance rate: ~32%)  

  • T. Ingeman-Nielsen, S. Tomaskovicova, S. H. Larsen, S. F. Aparicio, P. Gori
    Surface geophysical measurements for locating and mapping ice-wedges
    Cold Regions Engineering, 2012   (Poster)  

  • T. Ingeman-Nielsen, P. Gori, S. Tomaskovicova
    An Optimization Algorithm For Interpreting Thermal Parameters For Frozen Soils With Significant Unfrozen Water Content
    Conference on Permafrost, 2012   (Poster)  


Abstracts

  • M. Fondin, P. Gori, C. Adamsbaum, I. Bloch
    Segmentation automatique des ovaires et des follicules en IRM pour le calcul de la volumétrie ovarienne et le comptage folliculaire
    JFR, 2018  

  • A. Virzi, P. Gori, C. Muller, E. Mille, Q. Peyrot, L. Berteloot, N. Boddaert, S. Sarnacki, I. Bloch
    Segmentation of pelvic vessels in pediatric MRI using a patch based learning approach
    JFR, 2018  

  • A. Delmonte, I. Bloch, D. Hasboun, C. Mercier, J. Pallud, P. Gori
    Segmentation of White Matter Tractograms Using Fuzzy Spatial Relations
    OHBM, 2018   (Poster)  

  • P. Gori, O. Colliot, Y. Worbe, C. Poupon, A. Hartmann, N. Ayache, S. Durrleman
    Discriminative approach for Tourette syndrome combining morphometry and structural connectivity
    OHBM, 2016   (Poster)  

  • P. Gori, O. Colliot, L. Marrakchi-Kacem, Y. Worbe, A. Routier, C. Poupon, A. Hartmann, N. Ayache, S. Durrleman
    Unified analysis of shape and structural connectivity of neural pathways
    OHBM, 2015   (Poster)  

  • P. Gori, O. Colliot, Y. Worbe, L. Marrakchi-Kacem, S. Lecomte, C. Poupon, A. Hartmann, N. Ayache, S. Durrleman
    Towards joint morphometry of white matter tracts and gray matter surfaces
    OHBM, 2013   (Oral + Trainee Abstract Travel Award)