38 citations
- University of TorontoCA12 papers
- University Health NetworkCA7 papers
- University of California, San FranciscoUS2 papers
- Alberta Bone and Joint Health InstituteCA1 paper
- American University of the Middle EastKW1 paper
- Arizona State UniversityUS1 paper
- Athinoula A. Martinos Center for Biomedical ImagingUS1 paper
- Baycrest Academy for Research and EducationCA1 paper
- Baycrest HospitalCA1 paper
- Bloomberg (United States)US1 paper
- Brampton Civic HospitalCA1 paper
- Erasmus University RotterdamNL1 paper
4 papers · 1 filter
Domain-Specific Deep Learning Feature Extractor for Diabetic Foot Ulcer Detection
Reza Basiri, Milos R. Popovic, Shehroz S. Khan
Diabetic Foot Ulcer (DFU) is a condition requiring constant monitoring and evaluations for treatment. DFU patient population is on the rise and will soon outpace the available heal…
Recognizing Hand Use and Hand Role at Home After Stroke from Egocentric Video
Meng-Fen Tsai, Rosalie H. Wang, Jośe Zariffa
Introduction: Hand function is a central determinant of independence after stroke. Measuring hand use in the home environment is necessary to evaluate the impact of new interventio…
Unobtrusive Pain Monitoring in Older Adults with Dementia using Pairwise and Contrastive Training
Siavash Rezaei, Abhishek Moturu, Shun Zhao +3
Although pain is frequent in old age, older adults are often undertreated for pain. This is especially the case for long-term care residents with moderate to severe dementia who ca…
Video Analysis of "YouTube Funnies" to Aid the Study of Human Gait and Falls - Preliminary Results and Proof of Concept
Babak Taati, Pranay Lohia, Avril Mansfield +1
Because falls are funny, YouTube and other video sharing sites contain a large repository of real-life falls. We propose extracting gait and balance information from these videos t…