12 citations · 33 across the 8 of their papers we have counts for
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cs.CV2023★ 12 cited
Exploring UMAP in hybrid models of entropy-based and representativeness sampling for active learning in biomedical segmentation
H. S. Tan, Kuancheng Wang, Rafe Mcbeth
In this work, we study various hybrid models of entropy-based and representativeness sampling techniques in the context of active learning in medical segmentation, in particular ex…
eess.IV2023★ 4 cited
Swin UNETR++: Advancing Transformer-Based Dense Dose Prediction Towards Fully Automated Radiation Oncology Treatments
Kuancheng Wang, Hai Siong Tan, Rafe Mcbeth
The field of Radiation Oncology is uniquely positioned to benefit from the use of artificial intelligence to fully automate the creation of radiation treatment plans for cancer the…