IMAGE team Members

Associate members

• Loic Denis, Telecom St Etienne

PhD students :

• Alejandra Superlano-Esquibel (since 2026) Development of an AI-based image processng pipeline for retinal imaging and studying of neuro-vascular coupling at the cellular level.  Dir. E. Angelini, P. Mese (Institut Langevin)
• Ayan Ahmed (since 2025) Generative AI for medical image segmentation and anatomical shape generation Dir L. Le Folgoc, E. Angelini
• Sofiane Sifaoui (since 2025) (Almost) annotation-free frugal learning for dense medical imaging tasks Dir. L. Le Folgoc, E. Angelini
• Marie Arrivat (since 2025) Data efficient, robust and weakly supervised learning for computational pathology Dir. P. Gori, E. Angelini
• Quentin Bourbon (since 2025) Automated interventional image quality assessment with deep learning. Dir S. Ladjal, C. Kervazo, E. Angelini, T. Benseghir (GE HealthCare),  
• Gauthier Miralles (since 2024), Domain adaptation for Deep Learning on interventional radiology imaging, Dir.  L. Le Folgoc. P. Gori, V. Jugnon (GE HealthCare)
• Stella Basso-Lacroix (since 2024) Deep learning for multi-temporal radar SWOT images, Dir. F. Tupin, L. Denis (Télécom Saint-Etienne)
• Amandine Legrand (Since 2024) Multiresolution sketch-based animation for 3D virtual model. Dir. Amal Dev Parakkat, Damien Rohmer (Ecole Polytechnique)
• Antonin Wattel (since 2024) Sketch-based shape detailing. Dir. Amal Dev Parakkat, Marie-Paule Cani (Ecole Polytechnique) 
• Kevin Giraldo Paniagua (since 2024) Medical Image Harmonisation of Contrast & Resolution for Enhancing Fine Structures across Large Imaging Cohorts, Dir. E. Angelini, V. Jaouen & P.-H. Conze (IMT Atlantique)
• Marien Renaud (since 2023) Plug-and-Play algorithms for radar imaging. Dir. A. Leclaire, N. Papadakis (Institut de Mathématiques de Bordeaux, INRIA)
• André Freitas (since 2023) Large eddy simulation models in a deep machine learning loop. Dir. K. Um, Luca Biferale (University of Rome), Tor Vergata, Mathieu Desbrun (INRIA & Ecole Polytechnique), 
• Elisa Bellantoni (since 2023) Complex wetting problems using neural networks. Dir. K. Um, M. Desbrun (INRIA & Ecole Polytechique), M. Sbragaglia (University of Rome, Tor Vergata), Nikos Savva (The Cyprus Institute), 
• Xingjian Zhang (since 2023) Machine learning-enabled quantification of cellular nuclear deformations on microgroove substrate imaging. Dir E. Angelini, A. Barakat (Ecole Polytechnique)
• Augustin Daridon (since 2023) Contribution to the extraction of medical data and its processing to assist in analysis and decision-making in spinal surgery Dir E. Angelini, L. Le Folgoc, W. Skalli (SKAIROS)
• 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)
• Thomas Bultingaire (since 2023) Change detection in multimodal remote sensing images Dir F. Tupin, C. Kervazo, L. Denis (Mines St Etienne)
• 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)
• 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)
• 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 (Yale Medical School)
• 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)
• 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)
• Xinxin Xu (since 2023), Enhancement of hyperspectral image through interpretable deep learning, Dir Y. Gousseau, C. Kervazo, S. Ladjal
• Edouard-Pierre Baudoin (since 2022) Automated deep learning segmentation of white matter hypersignals in depressed patients Dir. P. Gori, I. Bloch, R. Colle+ E. Duron (Bicêtre hospital)

Recent PhD thesis

• • Victor Gaya (2022-25) Deep Learning for SAR Image Enhancement: Multi-Modal Fusion and Interferometric Estimatio Dir. F. Tupin, B. Pinel-Puysségur(CEA)
  • Emile Barbier-Renard (2022-25) 3D multi-view reconstruction in SAR imaging using inverse renderingn Dir F. Tupin, L. Denis (Mines St Etienne)
  • Ali Keshavarzi (2022-25) Deep Learning for Anatomically-Consistent Airway Tree Modeling: Visual Features, Loss Functions, Learning Strategies, and a Novel Detection Task Dir E. Angelini
  • Ali Mammadov (2022-25) On the Role and Robustness of Self-Supervised and Multiple Instance Learning Approaches for Digital Pathology – Application to Sjogren’s Syndrome Dir P. Gori, L. Le Folgoc,  J. Adam-G (Hospital St Joseph)
  • Raphael Reme  (2022-25) Integrating Optical Flow within a Bayesian Framework for Multiple Object Tracking in Biological Imaging. Dir. E. Angelini, A. Newson,T. Lagache (Institut Pasteur)
  • Arnaud Quillent (2022-25) Role of deep learning intro three-dimensional reconstruction for breast tomosynthesis Dir. I. Bloch, S. Ladjal, C. Kervazo, with V. Bismuth from General Electric Healthcare
  • Rassim Hadjeres (2021-25) Probabilistic modeling and  deep learning for hyperspectral unmixing Dir. C. Kervazo, F. Tupin
  • Emma Sarfati (2022-25) Exploiting Heterogeneous Labels in Deep Learning for Medical Image Analysis: Application to the Automated Diagnosis of Liver Diseases Dir. I. Bloch, P. Gori, A. Bone (Guerbet)
  • Zoe Berenger (2021-25) Deep learning and SAR tomography for monitoring forest structures Dir. F. Tupin, L. Denis (Mines St Etienne)
  • Antoine Habis (2021-24) Smart Annotation For Artificial Intelligence: Applications to histopathology images. Dir. E. Angelini, J-C. Olivo Marin (Institut Pasteur)
  • Erwan Dereure (2021-24), Development of algorithms for quantitative imaging of bioluminescent signals in mice, Dir. E. Angelini, C. Kervazo, J-C. Olivo Marin (Institut Pasteur)
  • Chloe Paliard (2020-24) Dimension reduction for fluid simulation and animation Dir. K. Um, M. Cagnazzo, N. Thuerey (Tech. Univ. Munich)
  • Rebeca Vetil (2021-24) AI methods to assist the diagnosis of pancreatic diseases in radiology. Dir. I. Bloch, P. Gori, M.-M. Rohe (Guerbet)
  • Carlo Alberto Barbano (2021-23) Advanced deep learning based methods for biomedical images and data analysis and debiasing Dir P. Gori, I. Bloch, M. Grangetto (Università Torino)
  • Camille Ruppli (2020-23) Optimizing the annotation workload in supervised learning. Dir. I. Bloch, P. Gori, R. Ardon (Incepto)
  • Ines Meraoumia (2020-23) Deep learning for satellite image understanding Dir. F. Tupin, L. Denis (Telecom St Etienne)
  • Robin Louiset (2020-23) Deep learning mental disease supervised prediction with subgroup constraints Dir P. Gori, with Neurospin
  • Nicolas Cherel (2020-23) Video inpainting: patch-based methods and deep learning Dir. Y. Gousseau, A. Newson, A. Almansa (CNRS – Univ Paris Cité)
  • Pierrick Chatillon (2020-23) Texture synthesis. Dir. Y. Gousseau, S. Lefebvre (ONERA)
  • 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 [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

• Nesrin Mansouri (2026-2027)
• Yekta Kesenci (2024-26)
• Yunlong He (2023-25)