Current Ph.D and PostDoc Students:
PhD Student: Sayeh Gholipour-Picha, Gipsa-Lab, École doctorale Électronique, Électrotechnique, Automatique, Traitement du Signal (ED EEATS)
Duration: 16 of November 2022 to 15 of Novemeber 2025
Subject: Explainable Deep Learning in Medical Imaging Diagnosis.
PhD Student: Rogerio Bombardelli, Between Gipsa-Lab and Schneider Electric Grenoble
Duration: 2025 to 2028
Subject: Adaptive Computer Vision Solutions for Heterogeneous Quality Control.
Researcher (PostDoc): Oussama Messai, Deep learning for the prevention, diagnosis, and monitoring of knee injuries in athletes.
Duration: 2024 to 2027
Subject: Deep learning for the prevention, diagnosis, and monitoring of knee injuries in athletes.
Master and End of Engineering Supervision
Student: Amrin Akter, M2 TSI (Phlema), Gipsa-Lab
Duration: : 3rd of march to end of August, academic year 2024-2025
Subject: Quantitative Evaluation of Saliency Based Methods for Medical Image Analysis.
Student: Iannis Pereuilhet, 2A Biomed (Phlema), Gipsa-Lab
Duration: : 6th of march to 31th of July, academic year 2023-2024
Subject: Towards Explainable Artificial Intelligence XAI for medical Image Analysis.
Student: Maria Fernandes, 2A génie de l’énergie électrique (ENSE3), Gipsa-Lab
Duration: : 5th of June to 5th of September, academic year 2022-2023
Subject: Guided Semi-Supervised Learning Model with Uncertainty Measure.
Student: Ali Moufid, 3A Engineering (Phlema) Gipsa-Lab
Duration: : 4th of July to 23rd of September, academic year 2021-2022
Subject: Guided Semi-Supervised Semantic Segmentation with Uncertainty Measure
Student: Samer Saleh, 2A Engineering (Phlema) Gipsa-Lab
Duration: : 1st of March to 29th of July, academic year 2021-2022
Subject: Leveraging prior image captions information into anomaly and semantic scene segmentation.
Co-Supervision: Dr. Kai Wang (CNRS Researcher)
Student: Sayeh Gholipour-Picha, M2, Gipsa-Lab
Duration: 1st of February to end of June, academic year 2021-2022
Subject: Does GAN-Based Image Data Augmentation provide New Information?
Main Supervisor: Pr. Alice Caplier
Student: Zaineb Chiha, 3A, Engineering, École Centrale de Nantes/ LS2N
Duration: 1st of February to end of July, academic year 2020-2021
Subject: Deep Learning based Low-limb Muscle Segmentation for Reproducible Volume Quantification
Co-Supervision: Pr. Diana Mateus
Student: Elice Roy Kanjamala, M2, École Centrale de Nantes/ LS2N
Duration: 3 months, academic year 2020-2021
Subject: Active Learning for Smart Sampling
Students: Valentin NOEL, Giorgi Gelovani and Kai Huang, M1, École Centrale de Nantes/ LS2N
Duration: 3 months, academic year 2019-2020
Subject: Brain Tumor Segmentation using Classical Image Processing and Deep Learning Approach