Projet de recherche collaborative d’Imagia, ApStat, Golbal Imaging, du CHUM et de Polytechnique Montréal

Amélioration de la détection du cancer grâce aux dernières percées en intelligence artificielle

 

Impacts de la recherche – Liste des publications et conférences

Drozdzal M., Vorontsov E., Chartrand G., Kadoury S. and Pal C. The Importance of Skip Connections
in Biomedical Image Segmentation, 2nd workshop of Deep Learning in Medical Image Analysis, 2016
(conference) – Best paper award
– Vorontsov E., Chartrand G., Dagher O., Tran V.T., Flamand M., Khatchikian A., Smouk A., Siron N.,
Maynard-Paquette A.C., Roy D., Chapados N., Turcotte S., Lapointe R., Vandenbroucke-Menu F,
Nguyen B., Pal C., Kadoury S. and Tang A. Automated segmentation of liver metastases with deep
convolutional neural networks. RSNA 2016, Chicago, IL, USA. Nov 27-Dec 2, 2016.
– Vorontsov E., Trabelsi C., Kadoury S., Pal C. On orthogonality and learning recurrent networks with
long term dependencies. ICLR 2017 (in review)