FRANÇAIS
A showcase of ÉTS researchers’ publications and other contributions
SEARCH

Deep radiomic features from MRI scans predict survival outcome of recurrent glioblastoma

Chaddad, A., Zhang, M., Desrosiers, C. and Niazi, T.. 2020. « Deep radiomic features from MRI scans predict survival outcome of recurrent glioblastoma ». In Radiomics and Radiogenomics in Neuro-oncology, First International Workshop, RNO-AI 2019, Held in Conjunction with MICCAI 2019, Proceedings (Shenzen, China, Oct. 13, 2019) Coll. « Lecture Notes in Computer Science », vol. 11991. pp. 36-43. Springer.
Compte des citations dans Scopus : 5.

The full text of this document is not available here.
Rechercher dans Google Scholar
Item Type: Conference proceeding
Editors:
Editors
ORCID
Mohy-ud-Din, Hassan
UNSPECIFIED
Rathore, Saima
UNSPECIFIED
Professor:
Professor
Desrosiers, Christian
Affiliation: Génie logiciel et des technologies de l'information
Date Deposited: 22 Apr 2020 14:10
Last Modified: 07 Mar 2025 20:32
URI: https://espace2.etsmtl.ca/id/eprint/20524

Actions (login required)

View Item View Item