3 citations · 6 across the 3 of their papers we have counts for
3 papers
cs.CV2023★ 1 cited
Revisiting Fine-Tuning Strategies for Self-supervised Medical Imaging Analysis
Muhammad Osama Khan, Yi Fang
Despite the rapid progress in self-supervised learning (SSL), end-to-end fine-tuning still remains the dominant fine-tuning strategy for medical imaging analysis. However, it remai…
eess.IV2022★ 3 cited
Multi-organ Segmentation Network with Adversarial Performance Validator
Haoyu Fang, Yi Fang, Xiaofeng Yang
CT organ segmentation on computed tomography (CT) images becomes a significant brick for modern medical image analysis, supporting clinic workflows in multiple domains. Previous se…
cs.CV2021★ 2 cited
3D Meta-Segmentation Neural Network
Yu Hao, Yi Fang
Though deep learning methods have shown great success in 3D point cloud part segmentation, they generally rely on a large volume of labeled training data, which makes the model suf…