IMAGE team Members

Associate members

• Loic Denis, Telecom St Etienne

PhD students :

• 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)
• Ali Keshavarzi (since 2023) Vessel & airway tree deep-modeling on large cohorts of lung CT scans Dir E. Angelini
• 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)
• Emile Barbier-Renard (since 2022) Deep learning and representation spaces for multi-sensor satellite image interpretation Dir F. Tupin
• Victor Gaya (since 2022) Frequency analysis of satellite radar imagery for 3D reconstruction Dir. F. Tupin
• 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)
• 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)
• Emma Sarfati (since 2022) Learning methods for the characterization of cholangiocarcinoma and helping therapeutic choices. Dir. I. Bloch, P. Gori, A. Bone (Guerbet)
• Zoe Berenger (since 2021) Deep learning and SAR tomography for forest monitoring Dir. F. Tupin, L. Denis (Mines St Etienne)
• Rassim Hadjeres (since 2021) New approaches for non linear blind source separation, application to remote sensing Dir. C. Kervazo, F. Tupin

Recent PhD thesis

• • 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

• Yunlung He (2023-25)
• Yekta Kesenci (2024-26)