On november 8, 2023, meeting at the URN: 9h30 rappel des objectifs du projet 10h présentation de Diane Chan Sock Line, nouvelle doctorante LMI INSA sur le projet (en visio) : son parcours et son sujet de thèse “Hybrid Variational/Deep …
Nouman Syed Hasany and Master student Théo Sourget presented their joint work at the GRETSI conference in Grenoble.
In July 2023, Nouman Hasany presented a work entitled “Can SegFormer be a True Competitor to U-Net for Medical Image Segmentation?” at the 27th Conference on Medical Image Understanding and Analysis (MIUA) in Abderdeen Scotland. This was a joint work …
Presentation at the 27th Conference on Medical Image Understanding and Analysis 2023 Read more »
Syed Nouman Hasany’s work Seg-XRes-CAM: Explaining Spatially Local Regions in Image Segmentation was selected to be featured in a a spotlight sessions at the Explainable AI for Computer Vision (XAI4CV) workshop at CVPR’23!
Syed Nouman Hasany’s paper “A study of attention information from transformer layers in hybrid medical image segmentation networks” based upon his Master thesis work, has been accepted at the SPIE Medical Imaging conference to be held in San Diego in …
Syed Nouman Hasany : “An explainable perspective on transformers and hybrid architectures for medical image segmentation”, LITIS/imVIA, supervisors : Caroline Petitjean & Fabrice Mériaudeau
We have welcomed two interns working on Mediseg, 2 Master students coming from the Erasmus Mundus MAIA. Syed Hasany at the LITIS lab Mahmoud Abdelhamed at ImVIA
MEDISEG has officially started.