Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Berthier, Tess"'
Autor:
Sylvain, Tristan, Dutil, Francis, Berthier, Tess, Di Jorio, Lisa, Luck, Margaux, Hjelm, Devon, Bengio, Yoshua
In hospitals, data are siloed to specific information systems that make the same information available under different modalities such as the different medical imaging exams the patient undergoes (CT scans, MRI, PET, Ultrasound, etc.) and their assoc
Externí odkaz:
http://arxiv.org/abs/2010.10593
Autor:
Taghanaki, Saeid Asgari, Havaei, Mohammad, Berthier, Tess, Dutil, Francis, Di Jorio, Lisa, Hamarneh, Ghassan, Bengio, Yoshua
The scarcity of richly annotated medical images is limiting supervised deep learning based solutions to medical image analysis tasks, such as localizing discriminatory radiomic disease signatures. Therefore, it is desirable to leverage unsupervised a
Externí odkaz:
http://arxiv.org/abs/1903.11741
Autor:
Taghiakbari, Mahsa, Ghalehjegh, Sina Hamidi, Jehanno, Emmanuel, Berthier, Tess, Jorio, Lisa di, Ghadakzadeh, Saber, Barkun, Alan, Takla, Mark, Bouin, Mickael, Deslandres, Eric, Bouchard, Simon, Sidani, Sacha, Bengio, Yoshua, Renteln, Daniel von
Publikováno v:
Journal of the Canadian Association of Gastroenterology; Aug2023, Vol. 6 Issue 4, p145-151, 7p
Autor:
Dinggang Shen, Tianming Liu, Terry M. Peters, Lawrence H. Staib, Caroline Essert, Sean Zhou, Pew-Thian Yap, Ali Khan
The six-volume set LNCS 11764, 11765, 11766, 11767, 11768, and 11769 constitutes the refereed proceedings of the 22nd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2019, held in Shenzhen, China, in Oct
Autor:
Kenji Suzuki, Mauricio Reyes, Tanveer Syeda-Mahmood, Ender Konukoglu, Ben Glocker, Roland Wiest, Yaniv Gur, Hayit Greenspan, Anant Madabhushi
This book constitutes the refereed joint proceedings of the Second International Workshop on Interpretability of Machine Intelligence in Medical Image Computing, iMIMIC 2019, and the 9th International Workshop on Multimodal Learning for Clinical Deci