20 citations
- Sunnybrook Health Science CentreCA8 papers
- University of TorontoCA6 papers
- McGill UniversityCA2 papers
- Sunnybrook Research Institute2 papers
- University of AlbertaCA2 papers
- University of British ColumbiaCA2 papers
- Hotchkiss Brain InstituteCA1 paper
- Illumisonics (Canada)CA1 paper
- Indian Institute of Technology IndoreIN1 paper
- Lunenfeld-Tanenbaum Research InstituteCA1 paper
- Montreal Neurological Institute and HospitalCA1 paper
- Scuola Superiore Sant'AnnaIT1 paper
9 papers
A generalizable 3D framework and model for self-supervised learning in medical imaging
Tony Xu, Sepehr Hosseini, Chris Anderson +4
Current self-supervised learning methods for 3D medical imaging rely on simple pretext formulations and organ- or modality-specific datasets, limiting their generalizability and sc…
Decoding Cognitive Health Using Machine Learning: A Comprehensive Evaluation for Diagnosis of Significant Memory Concern
M. Sajid, Rahul Sharma, Iman Beheshti +1
The timely identification of significant memory concern (SMC) is crucial for proactive cognitive health management, especially in an aging population. Detecting SMC early enables t…
Automated Whole Slide Imaging for Label-Free Histology using Photon Absorption Remote Sensing Microscopy
James E. D. Tweel, Benjamin R. Ecclestone, Marian Boktor +3
The field of histology relies heavily on antiquated tissue processing and staining techniques that limit the efficiency of pathologic diagnoses of cancer and other diseases. Curren…
SF2Former: Amyotrophic Lateral Sclerosis Identification From Multi-center MRI Data Using Spatial and Frequency Fusion Transformer
Rafsanjany Kushol, Collin C. Luk, Avyarthana Dey +15
Amyotrophic Lateral Sclerosis (ALS) is a complex neurodegenerative disorder involving motor neuron degeneration. Significant research has begun to establish brain magnetic resonanc…
Measuring hand use in the home after cervical spinal cord injury using egocentric video
Andrea Bandini, Mehdy Dousty, Sander L. Hitzig +3
Background: Egocentric video has recently emerged as a potential solution for monitoring hand function in individuals living with tetraplegia in the community, especially for its a…
Adapting to Unseen Vendor Domains for MRI Lesion Segmentation
Brandon Mac, Alan R. Moody, April Khademi
One of the key limitations in machine learning models is poor performance on data that is out of the domain of the training distribution. This is especially true for image analysis…