IMAGES team staff

Permanent faculty members – Photos here

Associate members

  • Catherine Adamsbaum (CHU Bicêtre)
  • Isabelle Bloch (on leave at Sorbonne Université)
  • Tamy Boubekeur (on leave at Adobe Research)
  • Hong Sun (Wuhan University)

Key Collaborators

PhD candidates

  • Raphael Achddou (since 2019) Neuronal restoration of textured images Dir. Y. Gousseau, S. Ladjal
  • Francois Anton (since 2019) Handling topological variability in atlas construction for brain glioblastoma Dir P. Gori, J. Glaunes (Uni. Paris Cité)
  • Carlo Alberto Barbano (since 2021) Dir P. Gori, with Università Torino
  • Emile Barbier-Renard (since 2022) Deep learning and representation spaces for multi-sensor satellite image interpretation Dir F. Tupin
  • Edouard-Pierre Baudoin (since 2022) Dir. P. Gori, I. Bloch
  • Zoe Berenger (since 2021) Deep learning and SAR tomography for forest monitoring Dir. F. Tupin, L. Denis (Mines St Etienne)
  • Pierrick Chatillon (since 2020) Texture synthesis. Dir. Y. Gousseau, S. Lefebvre (ONERA)
  • Yanis Chemli (since 2019,) Super-resolution imaging for brain positron emission tomography. Dir. I. Bloch, G. El Fakhri (MGH, Harvard Medical School)
  • Nicolas Cherel (since 2020) Video inpainting: patch-based methods and deep learning Dir. Y. Gousseau, A. Newson, A. Almansa (CNRS – Univ Paris Cité)
  • Erwan Dereure (since 2021), Development of algorithms for quantitative imaging of bioluminescent signals in mice, Dir. E. Angelini, J-C. Olivo Marin (Institut Pasteur), with K. Kervazo
  • Yanis Djebra (since 2019) Free-Breathing, Three-Dimensional T1 Mapping of the Heart. Dir. I. Bloch, G. El Fakhri (MGH, Harvard Medical School)
  • Victor Gaya (since 2022) Frequency analysis of satellite radar imagery for 3D reconstruction Dir. F. Tupin
  • Nicolas Gonthier (since 2017) Dir. Y. Gousseau, S. Ladjal, O. Bonfait (Univ. Bourgogne)
  • Antoine Habis (since 2021) Smart Annotation For Artificial Intelligence: Applications to histopathology images. Dir. E. Angelini, J-C. Olivo Marin (Institut Pasteur)
  • Rassim Hadjeres (since 2021) New approaches for non linear blind source separation, application to remote sensing Dir. C. Kervazo, F. Tupin
  • Ali Keshavarzi (since 2022) Vessel & airway tree deep-modeling on large cohorts of lung CT scans Dir E. Angelini
  • Robin Louiset (since 2020) Deep learning mental disease supervised prediction with subgroup constraints Dir P. Gori, with Neurospin
  • Matthis Maillard (since 2019)  Deep learning for generating atlases of glioblastomas Dir. I. Bloch, P. Gori, with Sainte Anne hospital
  • Ali Mammadov (since 2022) Dir P. Gori, L. Le Folgoc
  • Ines Meraoumia (since 2020) Deep learning for satellite image understanding Dir. F. Tupin, L. Denis (Telecom St Etienne)
  • Ismael Mounime (since 2023) Posterior Estimation of MRI and PET parametric maps using variational auto-encoders: Application to brain images, Dir. E. Angelini, P. Gori, G. El Fakhri (HGH, Harvard Medical School)
  • Chloe Paliard (since 2020) Computer graphics and simulations Dir. K. Um, N. Thuerey, M. Cagnazzo, with Univ. Munich
  • Arnaud Quillent (since 2022) Deep learning for 3D reconstruction in tomosynthesis Dir. I. Bloch, S. Ladjal, C. Kervazo, with General Electric
  • Raphael Reme (since 2022) Leveraging Deep-Learning for the robust tracking of single particles in biological imaging: Application to the automatic, long-term tracking  of individual neurons calcium activity in moving animals Dir. E. Angelini, A. Newson, T. Lagache (Institut Pasteur)
  • Camille Ruppli (since 2020) Optimizing the annotation workload in supervised learning. Dir. I. Bloch, P. Gori, R. Ardon (Incepto)
  • Emma Sarfati (since 2022) Learning methods for the characterization of cholangiocarcinoma and helping therapeutic choices. Dir. I. Bloch, P. Gori, A. Bone (Guerbet)
  • Rebeca Vetil (since 2021) AI methods to assist the diagnosis of pancreatic diseases in radiology. Dir. I. Bloch, P. Gori, M.-M. Rohe (Guerbet)

RECENT PhD graduates:

  • Emanuele Delsasso (2018-2022) Deep learning for SAR imagery : from denoising to scene understanding Dir. F. tupin, L. Denis (Telecom St Etienne) [Now postdoc at Telecom Paris and CNAM]
  • Benoit Duffumier (2019-2022) Representation learning in neuroimaging: transferring from big healthy data to small clinical cohorts Dir P. Gori, A. Tenenhaus (CentraleSupelec), E. Duchesnay (NeuroSpin)
  • Nicolas Gasnier (2018-2022) Exploitation of multi-temporal and multi-sensor data for extracting water surfaces within SWOT mission Dir. F. Tupin, L. Denis (Telecom St Etienne), with CNES (R. Fjortoft) [Now Engineer at CNES]
  • Alban Gauthier (2019-2022) Morphing and level-of-detail operators for interactive digital material design and rendering Dir. T. Boubekeur, J.M. Thiery (Adobe Research)
  • Robin Kips (2019-2022) Neural rendering for improved cosmetics virtual try-on Dir. I. Bloch, P. Gori, M. Perrot (L’Oreal) [Now Applied Research Scientist at Meta]
  • Giammarco  La Barbera (2019-2022) Learning anatomical digital twins in pediatric 3D imaging for renal cancer surgery Dir. I. Bloch, P. Gori, L. Rouet (Philips Healthcare) [Now post-doc at Necker Hospital – Imagine Institut)]
  • Elie Michel (2019-2022) Interactive Authoring of 3D Shapes Represented as Programs Dir. T. Boubekeur. [Now Research Scientist at Adobe Research]
  • Arthur Ouaknine (2018-2022) Deep learning for exploiting radar data in autonomous driving Dir. JM Nicolas, A. Newson, F. Tupin, with VALEO (P. Pérez). [Now postdoc at  McGill University and Mila]
  • Mateus Riva (2019-2022) Spatial Relational Reasoning in Machine Learning: Deep Learning and Graph Clustering Dir I. Bloch, P. Gori [Now AI Data Engineer at Valeo R&D]
  • Jérémie Schertzer (2017-2022) Exploitation of modern graphics card architecture for real-time rendering of large linesets Dir. T. Boubekeur
  • Xu Yao (2019-2022) Latent representations for facial images and video editing Dir. Y. Gousseau, A. Newson

Post-Docs and Sabbatical Visitors

Recent Post-Docs and Sabbatical Visitors

  • Florence Carton (2021-2022)
  • Anca Ralescu (between 2015 and 2019)

Research engineers

  • Yoann Vigouroux (2022-2023), Technology transfer on medical imaging harmonisation, Ref: E. Angelini