Category: Research
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DLMI 2024
The 5th edtion of the school on Deep Learning for Medical Imaging (DLMI) held in Montréal from 8 to 12 of July and the asynchronous version one week after. More information about materials, speakers, hands-on : https://event.fourwaves.com/dlmi2024
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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!…
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Protected: Operational region segmentation for stroke study in rats: Data an Code
There is no excerpt because this is a protected post.
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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++
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Protected: DLMI23 Gala Photo
There is no excerpt because this is a protected post.
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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
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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…
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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…
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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…
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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: https://event.fourwaves.com/dlmi2022/pages