Habilitation à Diriger les Recherches

• Thierry Géraud. Outil logiciel pour le traitement d’images: Bibliothèque, paradigmes, types et algorithmes. University Paris-Est, June 2012, 248 pages. In French.
• Evangelia Zacharaki. Computational methods towards image-based biomarkers and beyond. University Paris-Est, March 2017.

Former PhD students

• Eric Bouvier. Crowd Simulation by Particle Systems (In French, 1997). With Eyal Cohen.
• Jean Cousty. Discrete watersheds: theory and applications to cardiac image segmentation (In French, 2007). With Gilles Bertrand and Michel Couprie. 
  • Special Mention - AFRIF Prize 2008.
• David Menotti Gomes. Contrast Enhancement in Digital Imaging using Histogram Equalization. (2008) with Arnaldo de Albuquerque Araujo.  
• Roland Levillain.  Towards a Software Architecture for Generic Image Processing (Vers une architecture logicielle pour le traitement d'images générique). (2011) With Thierry Géraud.
• Pierre Boulenguez. Multispectral imaging assesment of sources and materials for photosimulation.(In French, 2010)
• Camille Couprie.  Graph-based variational optimization and applications in computer vision. (2011). With Hugues Talbot and Leo Grady
• • Best interdisciplinary PhD - Fondation EADS - 2012.
  • Accessit - Prix Gilles Khan 2012
  • Best 2013 PhD Prize from Délégation Générale de l'Armement (French Government Defense procurement agency responsible for the program management, development and purchase of weapon systems for the French military)
• Vincent Bismuth. Image Processing Algorithms for the Visualization of Interventional Devices in X-Ray Fluoroscopy. (2012) With Régis Vaillant.
• Laszlo Marak. Image Segmentation by Continous Max-Flow. (2012) With Hugues Talbot
• Fabio Augusto Salve Dias. A study of some morphological operators in Simplical complex spaces. (2012). With Jean Cousty
• Omid B. Sakhi. Segmentation of Heterogeneous Document Images: an approach based on machine learning, connected components and texture analysis. (2012) With Xavier Hilaire
• Yongchao Xu. Tree-based shape spaces: Definition and applications in image processing and computer vision (2013). With Thierry Géraud (EPITA, LRDE).
• Clément Farabet. Towards Real-Time Image Understanding with Convolutional Networks (2013). With Yann LeCun (NYU).
• Imen Melki . Towards an automated framework for coronary lesions detection and quantification in cardiac CT angiography (2015). With Hugues Talbot (LIGM) and Laurent Launay (GE HealthCare)
• Elodye Puybareau Movement analysis for biomedical purposes (2016). With André Costes (CHU Henri Mondor) and Hugues Talbot (LIGM)
• Nicolas Boutry A study of well-composedness in dimension n. (2016) With Thierry Géraud (EPITA, LRDE)
• Eloise Grossiord. Approches hiérarchiques pour l’analyse d’images multivaluées. Application à la segmentation des images TEP/TDM pour la quantification du volume des lésions, particulièrement pour le lymphome (2017). With Michel Meignan (CHU Henri Mondor) - CIFRE funded by Keosys.
• Tsubasa Hirakawa Stabilization and Image Labeling for NBI Endoscopic Image Recognition (2017) (PhD registered at Intelligent System and Modeling Lab, Hiroshima University, Japan) With Toru Tamaki, Takio Kurita and Kazufumi Kaneda (from Hiroshima University, Japan). 
• Ketan Bacchuwar Image processing for semantic analysis of the coronary interventions in cardiology (2018). With Jean Cousty (LIGM) and Régis Vaillant (GE HealthCare)
• Clara Jaquet Vers la simulation de perfusion du myocarde à partir d'image tomographique scanner (2018). With Hugues Talbot (LIGM) and Leo Grady (HeartFlow Inc, California, USA)
• Sravan Danda Some Applications of the Power Watershed Framework to Image Segmentation and Image Filtering (2019) (PhD registred at Computer Science at Systems Science and Informatics Unit, Indian statistical Institute, Bangalore, India). With Daya Sagar (ISI, Bangalore, India)
• Aditya Challa Some Studies on Mathematical Morphology for Unsupervised and Semi-Supervised Learning (2019) (PhD registred at Computer Science at Systems Science and Informatics Unit, Indian statistical Institute, Bangalore, India). With Daya Sagar (ISI, Bangalore, India)
• Deise Santana Maia A study of hierarchical watersheds on graphs with applications to image segmentation (2019). With Jean Cousty (LIGM) and Benjamin Perret (LIGM)
• Thanh Nguyen - Object Detection using Component-Graphs and ConvNets with Applications to Astronomical Images. (2021) With Hugues Talbot (LIGM) and Giovanni Chierchia (LIGM)
• Yamna Ouchtar - Developing and Implementing Watershed Classification Algorithms for Imbalanced Datasets: an Application to the Detection of Acute Chest Syndrome in patients with Sickle Cell Disease. - (2023) - With Pablo Bartolucci (CHU Henri Mondor) and Benjamin Perret (LIGM)
• Mariia Zameshina - Advancing ethical AI: fairness, diversity, and privacy in generative modeling - (2024) - With Olivier Teytaud (Meta AI Research)

Current PhD students

• Sarah Almeida Carneiro - Prediction of mobility data with prior on the topography and infrastructure of the road network - (PhD started in 2020) - With Aurelie Pirayre-Chataignon (IFPEN)
• Caroline Mazini Rodrigues - Explainable Artificial Intelligence - (PhD Started in 2020) - With Nicolas Boutry (EPITA)
• Quentin Garrido - Self-supervised learning - (PhD started in 2022) - With Yann LeCun (Meta AI Research and NYU)
• Raoul Sallé de Chou - Prédiction de cartes de perfusion du cœur par apprentissage automatique - (PhD started in 2021) - With Hugues Talbot (CentraleSupelec) et Irene Vignon-Clementel (INRIA)
• Matheus Barros Pereira - Towards Spatial Hierarchical Learning for Semantic Segmentation in an Open World - (PhD started in 2021) - With Jefersson Alex dos Santos (University of Sheffield)
• Léo Hein - Apprentissage profond sur graphes pour la prédiction des flux de mobilité et de la qualité de l’air en milieu urbain - (PhD started in 2023) - With Giovanni Chierchia (LIGM), Aurelie Chataignon (IFPEN) and Giovanni De Nunzio (IFPEN)