Research Activities

PhD and HDR
Multimodal generative AI for medical imaging
Deep learning and image processing focused on segmentation,
image analysis and synthetic data generation

Research Domains

  • Since 2023 : CREATIS Laboratory
  • Generative AI, Latent Diffusion Model conditioned by prompt, Segmentation and classification using Deep Learning, Instance Segmentation, Brain Imaging, Multiple Sclerosis Lesion Segmentation, Biomedical and Medical Imaging.
  • Collaboration with BF2I and IRCE laboratories.
  • 2022-23: Collaboration with CREATIS Laboratory
  • Segmentation and classification using Deep Learning, YOLO Algorithm.
  • 2015-2023: CITI Laboratory
  • Swarm Robotics, Software-Defined Radio, Physical Layer of Wireless Communications.
  • 1998-2013: CREATIS Laboratory
  • Medical Image Processing, Segmentation, Region Growing, Multidimensionnal Approach, Classification in Feature Space, Mean-Shift, Variational segmentation, Integration of shape prior, Medial Representations, and Statistical Shape Model, Bone architecture and osteoporosis.
LDM conditioned by prompt

EUSIPC0'25

Canalicules

SRµCT images of bone tissue cellular structure - FRM Microtomos national project.

  • Energy derived from the Sato filter
  • Improved extraction of tubular structures
  • Enhanced connectivity of the canaliculi