2.8k citations
- University of TorontoCA42 papers
- Princess Margaret Cancer CentreCA16 papers
- Toronto Rehabilitation InstituteCA16 papers
- Vector InstituteCA14 papers
- Health NetUS6 papers
- Stanford UniversityUS5 papers
- Sunnybrook Health Science CentreCA5 papers
- Centre National de la Recherche ScientifiqueFR4 papers
- Harvard UniversityUS4 papers
- Indiana University School of Medicine4 papers
- Radboud University Medical CenterNL4 papers
- Radboud University NijmegenNL4 papers
55 papers
HEART-Watch: A multimodal physiological dataset from a Google Pixel Watch across different physical states
Jathushan Kaetheeswaran, Boyi Ma, Ali Abedi +2
Consumer-grade smartwatches offer a new option for personalized health monitoring for general consumers, as cardiovascular diseases continue to prevail as the leading cause of glob…
EchoingECG: An Electrocardiogram Cross-Modal Model for Echocardiogram Tasks
Yuan Gao, Sangwook Kim, Chris McIntosh
Electrocardiogram (ECG) is a widely used tool for assessing cardiac function due to its low cost and accessibility. Emergent research shows that ECGs can help make predictions on k…
Leveraging Clinical Text and Class Conditioning for 3D Prostate MRI Generation
Emerson P. Grabke, Babak Taati, Masoom A. Haider
Objective: Latent diffusion models (LDM) could alleviate data scarcity challenges affecting machine learning development for medical imaging. However, medical LDM strategies typica…
Mamba-based Deep Learning Approach for Sleep Staging on a Wireless Multimodal Wearable System without Electroencephalography
Andrew H. Zhang, Alex He-Mo, Richard Fei Yin +9
Study Objectives: We investigate a Mamba-based deep learning approach for sleep staging on signals from ANNE One (Sibel Health, Evanston, IL), a non-intrusive dual-module wireless…
Rehabilitation Exercise Quality Assessment through Supervised Contrastive Learning with Hard and Soft Negatives
Mark Karlov, Ali Abedi, Shehroz S. Khan
Exercise-based rehabilitation programs have proven to be effective in enhancing the quality of life and reducing mortality and rehospitalization rates. AI-driven virtual rehabilita…
Decentralised, Collaborative, and Privacy-preserving Machine Learning for Multi-Hospital Data
Congyu Fang, Adam Dziedzic, Lin Zhang +5
Machine Learning (ML) has demonstrated its great potential on medical data analysis. Large datasets collected from diverse sources and settings are essential for ML models in healt…