104 citations
- Université de MontréalCA5 papers
- Charité - Universitätsmedizin BerlinDE2 papers
- Harvard UniversityUS2 papers
- Jewish General HospitalCA2 papers
- McGill UniversityCA2 papers
- Université du QuébecCA2 papers
- AGH University of KrakowPL1 paper
- Athinoula A. Martinos Center for Biomedical ImagingUS1 paper
- Beijing Academy of Artificial IntelligenceCN1 paper
- Boston UniversityUS1 paper
- Canadian Cancer SocietyCA1 paper
- Canon (United States)US1 paper
9 papers
Neu-RadBERT for Enhanced Diagnosis of Brain Injuries and Conditions
Manpreet Singh, Sean Macrae, Pierre-Marc Williams +6
Objective: We sought to develop a classification algorithm to extract diagnoses from free-text radiology reports of brain imaging performed in patients with acute respiratory failu…
Transfer Learning and Machine Learning for Training Five Year Survival Prognostic Models in Early Breast Cancer
Lisa Pilgram, Kai Yang, Ana-Alicia Beltran-Bless +22
Prognostic information is essential for decision-making in breast cancer management. Recently trials have predominantly focused on genomic prognostication tools, even though clinic…
RetinaVR: Democratizing Vitreoretinal Surgery Training with a Portable and Affordable Virtual Reality Simulator in the Metaverse
Fares Antaki, Cédryk Doucet, Daniel Milad +3
We developed and validated RetinaVR, an affordable and immersive virtual reality simulator for vitreoretinal surgery training, using the Meta Quest 2 VR headset. We focused on four…
The TopCoW Challenge -- Topology-Aware Circle of Willis Segmentation for CT and MR Angiography
Kaiyuan Yang, Fabio Musio, Yihui Ma +112
The Circle of Willis (CoW) is an important network of arteries connecting major circulations of the brain. Its vascular architecture is believed to influence the risk, severity, an…
Personalised dynamic super learning: an application in predicting hemodiafiltration convection volumes
Arthur Chatton, Michèle Bally, Renée Lévesque +3
Obtaining continuously updated predictions is a major challenge for personalised medicine. Leveraging combinations of parametric regressions and machine learning approaches, the pe…
A Foundation Language-Image Model of the Retina (FLAIR): Encoding Expert Knowledge in Text Supervision
Julio Silva-Rodríguez, Hadi Chakor, Riadh Kobbi +2
Foundation vision-language models are currently transforming computer vision, and are on the rise in medical imaging fueled by their very promising generalization capabilities. How…