Segment anything in medical images
Abstract Medical image segmentation is a critical component in clinical practice, facilitating accurate diagnosis, treatment planning, and disease monitoring. However, existing ...
Publications
3 shownMoment Matching for Multi-Source Domain Adaptation
Conventional unsupervised domain adaptation (UDA) assumes that training data are sampled from a single domain. This neglects the more practical scenario where training data are ...
Spatiotemporal transcriptomic atlas of mouse organogenesis using DNA nanoball-patterned arrays
Spatially resolved transcriptomic technologies are promising tools to study complex biological processes such as mammalian embryogenesis. However, the imbalance between resoluti...
Frequent Co-Authors
Researcher Info
- h-index
- 3
- Publications
- 3
- Citations
- 4,468
- Institution
- University of Toronto
External Links
Identifiers
- ORCID
- 0000-0002-9620-3413
Impact Metrics
h-index
3
h-index: Number of publications with at least h citations each.