Category: Research

  • How many e-mails?

    As my inbox is nearing its storage limit, I’m getting ready to garbage can some of my mail. Traditionally, I’d garbage can the biggest e-mails. But today, I’ve decided to trash my old sent e-mails. As a result, I realize that from May 5, 2020 to May 5, 2023, I wrote more than 10,000 e-mails!…

  • Protected: Operational region segmentation for stroke study in rats: Data an Code

    There is no excerpt because this is a protected post.

  • CLANU 2021

    Ressources pour le projet CLANU partie informatique pour la classification d’images d’IRM provennant de 3 séquences et coupées suivant 3 plans (problème de 9 classes) Enoncé de la partie informatique et code source C++

  • Protected: DLMI23 Gala Photo

    There is no excerpt because this is a protected post.

  • DLMI 23

    Information and Resources Lectures Monday : video video video video Tuesday : video video Wednesday: video video Thursday: video video Friday: video video Hands-on Challenge: Photos, just for souvenir restricted access (particpants only) Gala photos gallery post Lectures photos gallery post Group photos gallery post Round Table photo gallery post

  • Soutenance HDR, 17 mars 2023

    Le 17 mars 2023 à 14h, j’ai soutenu mon Habilitation à Diriger des Recherches (presentation, manuscrit) Le jury: Les diapos de remerciements ont été un peu difficilles à faire lors de la soutenance… alors voici le texte prévu : Merci aux membres du jury, à tous les collègues du laboratoire et du département (les jeunes…

  • 4th Edition of the Deep Learning Medical Imaging School

    DLMI23: Fourth edition of the Deep learning for medical imaging school – Lyon April 17-21 2023 DeepImaging 2023 is organized by the LabEx Primes, Creatis, LabHC laboratories, the University of Sherbrooke and the ETS of Montreal. This school is intended for medical imaging beginners and experts (students, post-docs, research professionals, and professors) who are…

  • Deep learning in veterinary medicine, an approach based on CNN to detect pulmonary abnormalities from lateral thoracic radiographs in cats

    Thoracic radiograph (TR) is a complementary exam widely used in small animal medicine which requires a sharp analysis to take full advantage of Radiographic Pulmonary Pattern (RPP). Although promising advances have been made in deep learning for veterinary imaging, the development of a Convolutional Neural Networks (CNN) to detect specifically RPP from feline TR images…

  • 3rd edition of Deep Learning Medical Image School 2022

    The third edition of the school is almost done. Thanks to participants and the Montreal organizing committee! We had an exciting week. The next edition (4th) will take place in Lyon. Dates are coming soon. Link to 3rd edition ressources:

  • UNet based detection and multiple object tracking of nanoparticles This work, carried out with IRCELYON and the laboratory Hubert Curien, presents an approach combining deep learning and computer vision for the detection and the tracking of nano-objects in situ ETEM acquisitions. It allows the extraction of complex trajectories of small objects on a noisy and non-uniform background. Its application to the analysis of…