Permanent faculty members
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- Elsa Angelini, Professor
- Pietro Gori, Associate Professor
- Yann Gousseau, Professor, Team Leader
- Christophe Kervazo, Associate Professor
- Said Ladjal, Associate Professor
- Arthur Leclaire, Associate Professor
- Loïc Le Folgoc, Associate Professor
- Henri Maître, Professor Emeritus
- Amal Dev Parakkat, Associate Professor
- Michel Roux, Associate Professor
- Florence Tupin, Professor
- Kiwon Um, Associate Professor
Permanent faculty members – currently on leave
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- Isabelle Bloch, Professor (Sorbonne University)
- Tamy Boubekeur, Professor (Adobe Research)
- Alasdair Newson, Associate Professor [HDR] (Sorbonne University)
Associate members
- Catherine Adamsbaum (CHU Bicêtre)
- Loic Denis, Telecom St Etienne
Key Collaborators
- Andrés Almansa – CNRS, MAP5
- George El Fakhri, MGH (USA)
- Andrew Laine, Columbia University (USA)
- Pooran Memari – CNRS, LIX
- Jean-Christophe Olivo-Marin, Institut Pasteur
PhD students :
- Marie Arrivat (since 2023) Data efficient and weakly supervised learning for computational pathology Dir E. Angelini, P. Gori, S. Hadj (Tribun Health)
- 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)
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Thomas Bultingaire (since 2023) Change detection in multimodal remote sensing images Dir F. Tupin, C. Kervazo, L. Denis (Mines St Etienne)
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Pierrick Chatillon (since 2020) Texture synthesis. Dir. Y. Gousseau, S. Lefebvre (ONERA)
- 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 C. Kervazo
- Francesco Fossella (since 2023) Turbulence modeling and fluid data assimilation using machine learning. Dir K. Um, M. Desbrun (INRIA & Ecole Polytechnique), L. Biferale (Univ. of Rome Tor Vergata, Italy)
- Victor Gaya (since 2022) Frequency analysis of satellite radar imagery for 3D reconstruction Dir. F. Tupin
- Carla Geara (since 2023): Fusion of multimodal satellite images applied to high-resolution estimation of 3D forest structure. Dir F. Tupin, E. Colin (ONERA), C. Gelas (Kanop)
- 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 2023) 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
- Ali Mammadov (since 2022) Deep SjS: a deep learning approach for the diagnosis and evolution prediction of the Sjögren’s syndrome combining histological images, clinical and biological data Dir P. Gori, J. Adam-G (Hospital St Joseph)
- 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)
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Anandhu Sureshkumar (since 2023) VR-based shape synthesis and editing. Dir A. Dev Parakat, M-P Cani (Ecole Polytechnique), S. Hahmann (INRIA & Univ. of Grenoble)
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Critiano Ulondu Mendes, (since 2023) Deep learning for 3D reconstruction in multi-sensor remote-sensing imaging Dir F. Tupin, C. Kervazo, L. Denis (Mines St Etienne)
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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 thesis
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- Francois Anton (2019-23) Handling topological variability in atlas construction for brain glioblastoma Dir P. Gori, J. Glaunes (Uni. Paris Cité)
- Yanis Chemli (2019-23) Super-resolution imaging for brain positron emission tomography. Dir. I. Bloch, G. El Fakhri (MGH, Harvard Medical School)
- Yanis Djebra (2019-23) Free-Breathing, Three-Dimensional T1 Mapping of the Heart. Dir. I. Bloch, G. El Fakhri (MGH, Harvard Medical School)
- Matthis Maillard (2019-23) Deep learning for generating atlases of glioblastomas Dir. I. Bloch, P. Gori, with Sainte Anne hospital
- Raphael Achddou (2019-23) Neuronal restoration of textured images Dir. Y. Gousseau, S. Ladjal
- Raphael Achddou (2019-23) Neuronal restoration of textured images Dir. Y. Gousseau, S. Ladjal [Now postdoc at EPFL]
- Emanuele Delsasso (2018-22) 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 (2019-22) Representation learning in neuroimaging: transferring from big healthy data to small clinical cohorts Dir P. Gori, A. Tenenhaus (CentraleSupelec), E. Duchesnay (NeuroSpin) [Now postdoc at EPFL]
- Nicolas Gasnier (2018-22) 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 (2019-22) Morphing and level-of-detail operators for interactive digital material design and rendering Dir. T. Boubekeur, J.M. Thiery (Adobe Research)
- Robin Kips (2019-22) 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 (2019-22) 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 (2018-22) 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 (2019-22) 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 (2017-22) Exploitation of modern graphics card architecture for real-time rendering of large linesets Dir. T. Boubekeur
- Xu Yao (2019-22) Latent representations for facial images and video editing Dir. Y. Gousseau, A. Newson
Post-Docs and Sabbatical Visitors
- Yunlung He (2023)
Recent Post-Docs and Sabbatical Visitors
- Emanuele Dalsasso (2022-23) – with CNAM
- Florence Carton (2021-2022)
Research engineers
- Yoann Vigouroux (2022-23), Technology transfer on medical imaging, Ref: E. Angelini