Prof. Daniel Racoceanu

On-going Ph.D. Supervisions

Swann RUYTER

ComPath: Next Generation Computational Pathomics for Personalized Medicine. Explainable Deep Learning Integration of Computational Pathology and Spatial Transcriptomics

Ph.D. candidate, Sorbonne University

ED130 (EDITE) Doctoral School - Computer Science, Telecommunication and Electronics

Esther KOZLOWSKI

Study of the Heterogeneous Progression of Parkinson's Disease Using Artificial Intelligence and Multimodal MRI

Ph.D. candidate, Sorbonne University

ED158 (ED3C) Doctoral School of Brain, Cognition, and Behavior (Cerveau, Cognition, Comportement).

Ayse GUNGOR

Generative Methods for the Identification of Neuro-Visual Pathologies and Transfer to Artificial Vision

Ph.D. candidate, Sorbonne University

ED130 (EDITE) Doctoral School - Computer Science, Telecommunication and Electronics

Ilias SARBOUT

The Visual Brain in the Context of Blindness: Exploring and Guiding with Machine Learning

Ph.D. candidate, Sorbonne University

ED130 (EDITE) Doctoral School - Computer Science, Telecommunication and Electronics

Graduated Ph.D.s Supervised

Mehdi OUNISSI

Decoding the Black Box: Enhancing Interpretability and Trust in AI for Biomedical Imaging—A Step Towards Responsible Artificial Intelligence

Ph.D. of the Sorbonne University, Paris, France

ED130 (EDITE) Doctoral School - Computer Science, Telecommunication And Electronics

16 Oct. 2024, Paris, France

[Ph.D. Report]&[slides]

Gabriel Alexandro JIMENEZ GARAY

Representation Learning and Data-Centric Approaches in Computational Pathology. Instantiation to Alzheimer’s Disease

Ph.D. of the Sorbonne University, Paris, France

ED130 (EDITE) Doctoral School - Computer Science, Telecommunication and Electronics

18 Sept. 2024, Paris, France

[Ph.D. Report]&[slides]

Oumeima LAIFA

A Joint Discriminative-generative Approach For Tumor Angiogenesis Assessment In Computational Pathology

Ph.D. of the Sorbonne University, Paris, France

ED130 (EDITE) Doctoral School - Computer Science, Telecommunication and Electronics

Ph.D. Oral Defense: 2 Sept. 2019, Paris, France

jury: Prof. Yannick Kergosien (president), Prof. Maria Gloria Bueno Garcia(reviewer), A/Prof.Dr.Habil. Vlad Popovici (reviewer), A/Prof. Nicolas Lomenie (examiner), Dr.Habil. Thierry Delzescaux (examiner), Prof. Daniel Racoceanu (supervisor)

co-supervised With Dr Wee Kuan Lee (Bioinformatics Institute, A*STAR, Singapore)

[Ph.D. Report]&[slides]

Lamine TRAORE

Semantic Modelling Of A Histopathology Image exploration And Analysis Tool

Ph.D. of the University Pierre and Marie Curie, Paris, France

ED393 Doctoral School - Public Health: Epidemiology And Biomedical Informatics

8 Dec. 2017, Paris, France

co-supervised with Prof. Yannick Kergosien (University Cergy Pontoise, France)

[Ph.D. Report] & [synopsis] & [slides]

Bassem BEN CHEIKH

Graph-based Mathematical Morphology For The Characterization Of The Spatial Organization Of Histological Structures In High-content Images: Application To Tumor Microenvironment In Breast Cancer

Ph.D. of the University Pierre and Marie Curie, Paris, France

ED130 (EDITE) Doctoral School - Computer Science, Telecommunication and Electronics

26 Sept 2017, Paris, France

[Ph.D. Report] & [synopsis] & [slides]

Olivier MORERE

Deep Learning Compact And Invariant Image Descriptors For Instance Retrieval

Ph.D. of the University Pierre and Marie Curie, Paris, France

ED130 (EDITE) Doctoral School - Computer Science, Telecommunication and Electronics

8 June 2016, Paris, France

co-supervised With Dr Antoine Veillard (UPMC), Dr Vijay Chandresekhar (i²r, A*STAR) And Dr Hanlin Goh (i²r, A*STAR)

[Ph.D. Report] & [slides]

Sreetama BASU

Digital Reconstruction Of Neuronal Structures From 3d Microscopy Data

Ph.D. of the National University of Singapore

24 March 2014, Singapore

co-supervised With A/Prof. Wei-tsang Ooi, National University of Singapore

first Position After Ph.D.: Research Fellow, Ecole Normale Supérieure, Paris, France.

[Ph.D. Report] & [slides]

Antoine FAGETTE

Dense Crowd Analysis

Ph.D. of the University Pierre and Marie Curie, Paris, France

ED130 (EDITE) Doctoral School - Computer Science, Telecommunication and Electronics

13 June 2014, Paris, France

first position after the Ph.D.: R&D Engineer, Thales-Asia Solution Engineer

[Ph.D. Report] & [synopsis] & [slides]

Stéphane RIGAUD

Analysis-synthesis Approach For Neurosphere Modelisation Under Phase-contrast Microscopy

Ph.D. of the University Pierre and Marie Curie, Paris, France

ED130 (EDITE) Doctoral School - Computer Science, Telecommunication and Electronics

10th of March 2014, Paris, France

first position after the Ph.D.: Institut Curie, Paris, France, (3 Years Contract)

[Ph.D. Report] & [synopsis] & [slides]

Humayun IRSHAD

Automated Mitosis Detection In Color And Multispectral High-content Images In Histopathology: Application To Breast Cancer Grading In Digital Pathology

Ph.D. of the University Grenoble Alpes, UJF-Grenoble 1.

20th Of January 2014, Grenoble, France

first position after the Ph.D.: Research Fellow, Harvard Medical School, Boston, USA (3 Years Contract).

[Ph.D. Report] & [synopsis] & [slides]

Antoine VEILLARD

Kernel Methods For The Incorporation Of Prior-knowledge Into Support Vector Machines

Ph.D. of the National University of Singapore

11 Dec. 2012, Singapore

first position after the Ph.D.: Research Fellow @ University Pierre And Marie Curie, Paris, France (3 Years Contract)

[Ph.D. Report] & [synopsis] & [slides]

Roxana Oana TEODORESCU

Parkinson's Disease Prognosis Using Diffusion Tensor Imaging Features Fusion Pronostic De La Maladie De Parkinson, Basé Sur La Fusion Des Caractéristiques D'images Par Résonance Magnétique De Diffusion

Double Ph.D. Diplomae: University of Franche-comté and Politehnica University of Timisoara

11 Apr. 2011,Besançon, France

first position after the Ph.D.: Research Fellow @ Mount Sinai University Hospital, New York (3 Years Contract)

[Ph.D. Report] & [slides]

Adina Eunice TUTAC (Ép. Branici)

Formal Representation And Reasoning For Microscopic Medical Image-based Prognosis. Application To Breast Cancer Grading / Représentation Et Raisonnement Formels Pour Le Pronostic Basé Sur L’imagerie Médicale Microscopique. Application à La Graduation Du Cancer Du Sein
Double Ph.D. Diplomae: University of Franche-comté and Politehnica University of Timisoara

22 Oct. 2010, Timisoara, Romania

first position after the Ph.D.: R&d Manager At Sionic Srl, Timisoara, Romania

[Ph.D. Report] & [slides]

Nicolas PALLUAT

Dynamic Monitoring Using Temporal Neuro-fuzzy Systems / méthodologie De Surveillance Dynamique à L’aide Des Réseaux Neuro-flous Temporels

Ph.D. of the University of Franche-comté,

12 Jan. 2006, Besançon, France

first position after the Ph.D.: Post-doctoral Fellow In Brezil (2,5 Years Contract)

[Ph.D. Report] & [slides]

Eugenia MINCA

Discrete Events Systems Monitoring Using Fuzzy Petri Nets. Application To Flexible Production Systems E-maintenance / Surveillance Des Systèmes En Utilisant Les Réseaux De Petri Flous. Application à La E-maintenance De Systèmes Flexibles De Production

Ph.D. of the University of Franche-comté, Besançon,

24 Sept. 2004, Târgoviste, Romania

first position after the Ph.D.: A/prof. (tenure position) University Valahia, Targoviste, Romania

[Ph.D. Report] & [slides]

Ryad ZEMOURI

Monitoring Using Dynamic Neural Networks: Application To The E-maintenance / Contribution à La Surveillance Des Systèmes à L’aide Des Réseaux De Neurones Dynamiques: Application à La E-maintenance

Ph.D. of the University of Besançon, France

28 Nov. 2003, Besançon, France

first position after the Ph.D.: A/Prof. (tenure position) Conservatoire National Des Arts Et Métiers (CNAM), Paris, France

[Ph.D. Report] & [slides]

PhD Supervised

On-going Ph.D. Supervisions

Graduated Ph.D.s Supervised