9 citations · 12 across the 33 of their papers we have counts for
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eess.IV2024
Multi-scale Cascaded Foundation Model for Whole-body Organs-at-risk Segmentation
Rui Hao, Dayu Tan, Qiankun Li +3
Accurate segmentation of organs-at-risk (OARs) is vital for safe and precise radiotherapy and surgery. Most existing studies segment only a limited set of organs or regions, lackin…
cs.CV2024
One Step Learning, One Step Review
Xiaolong Huang, Qiankun Li, Xueran Li +1
Visual fine-tuning has garnered significant attention with the rise of pre-trained vision models. The current prevailing method, full fine-tuning, suffers from the issue of knowled…