Thomas Grenier

Author: Thomas

  • 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++

  • 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

  • Protected: DLMI23 Round Table Photos

    There is no excerpt because this is a protected post.

  • Protected: DLMI23 Group photos

    There is no excerpt because this is a protected post.

  • Protected: DLMI23 Lectures Photo

    There is no excerpt because this is a protected post.

  • Protected: DLMI23 Gala Photo

    There is no excerpt because this is a protected post.

  • HDR, 17 mars 2023

    Le 17 mars 2023, j’ai soutenu mon Habilitation à Diriger des Recherches sur le thème “Approches non-supervisées et supervisées de filtrage et segmentation pour l’analyse longitudinale en imagerie médicale” . (presentation, manuscrit) Composition du jury: Les diapos de remerciements ont été un peu difficilles à faire lors de la soutenance… alors voici le texte prévu…

  • 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 https://deepimaging2023.sciencesconf.org/ 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…