Robust Semi-supervised Multimodal Medical Image Segmentation via Cross Modality Collaboration

1 code implementation • 14 Aug 2024 • Xiaogen Zhou, Yiyou Sun, Min Deng, Winnie Chiu Wing Chu, Qi Dou

With a channel-wise semantic consistency loss, our framework ensures alignment of modality-independent information from a feature-wise perspective across modalities, thereby fortifying it against misalignments in multimodal scenarios.

Image Segmentation Medical Image Segmentation +2

GSCo: Towards Generalizable AI in Medicine via Generalist-Specialist Collaboration

1 code implementation • 23 Apr 2024 • Sunan He, Yuxiang Nie, Hongmei Wang, Shu Yang, Yihui Wang, Zhiyuan Cai, Zhixuan Chen, Yingxue Xu, Luyang Luo, Huiling Xiang, Xi Lin, Mingxiang Wu, Yifan Peng, George Shih, Ziyang Xu, Xian Wu, Qiong Wang, Ronald Cheong Kin Chan, Varut Vardhanabhuti, Winnie Chiu Wing Chu, Yefeng Zheng, Pranav Rajpurkar, Kang Zhang, Hao Chen

Specifically, we propose a cooperative framework, Generalist-Specialist Collaboration (GSCo), which consists of two stages, namely the construction of GFM and specialists, and collaborative inference on downstream tasks.

Collaborative Inference In-Context Learning +7

An Uncertainty Aided Framework for Learning based Liver $T_1ρ$ Mapping and Analysis

no code implementations • 6 Jul 2023 • Chaoxing Huang, Vincent Wai Sun Wong, Queenie Chan, Winnie Chiu Wing Chu, Weitian Chen

Approach: To address this need, we propose a parametric map refinement approach for learning-based $T_1\rho$ mapping and train the model in a probabilistic way to model the uncertainty.