Performance of five research-domain automated WM lesion segmentation methods in a multi-center MS study. - Alexandra de Sitter; Martijn D. Steenwijk; Aurélie Ruet; Adriaan Versteeg; Yaou Liu; Ronald A. van Schijndel; Petra J. W. Pouwels; Iris D. Kilsdonk; Keith S. Cover; Bob W. van Dijk; Stefan Ropele; Maria Assunta Rocca; et al. (NeuroImage, 2017)

Automatic segmentation of the spinal cord and intramedullary multiple sclerosis lesions with convolutional neural networks. - Charley Gros; Benjamin De Leener; Atef Badji; Josefina Maranzano; Dominique Eden; Sara M. Dupont; Jason Talbott; Ren Zhuoquiong; Yaou Liu; Tobias Granberg; Russell Ouellette; Yasuhiko Tachibana; et al. (CoRR, 2018)

Automatic segmentation of the spinal cord and intramedullary multiple sclerosis lesions with convolutional neural networks. - Charley Gros; Benjamin De Leener; Atef Badji; Josefina Maranzano; Dominique Eden; Sara M. Dupont; Jason Talbott; Ren Zhuoquiong; Yaou Liu; Tobias Granberg; Russell Ouellette; Yasuhiko Tachibana; et al. (NeuroImage, 2019)

Multiclass Spinal Cord Tumor Segmentation on MRI with Deep Learning. - Andréanne Lemay; Charley Gros; Zhizheng Zhuo; Jie Zhang; Yunyun Duan; Julien Cohen-Adad; Yaou Liu (CoRR, 2020)

Primary Categorizing and Masking Cerebral Small Vessel Disease Based on "Deep Learning System". - Yunyun Duan; Wei Shan; Liying Liu; Qun Wang; Zhenzhou Wu; Pan Liu; Jiahao Ji; Yaou Liu; Kunlun He; Yongjun Wang (Frontiers Neuroinformatics, 2020)

Benefits of Linear Conditioning for Segmentation using Metadata. - Andréanne Lemay; Charley Gros; Olivier Vincent; Yaou Liu; Joseph Paul Cohen; Julien Cohen-Adad (MIDL, 2021)

Multimodal super-resolved q-space deep learning. - Yu Qin; Yuxing Li; Zhizheng Zhuo; Zhiwen Liu; Yaou Liu; Chuyang Ye (Medical Image Anal., 2021)

One-Shot Segmentation of Novel White Matter Tracts via Extensive Data Augmentation. - Wan Liu 001; Qi Lu; Zhizheng Zhuo; Yaou Liu; Chuyang Ye (MICCAI (1), 2022)

A transfer learning approach to few-shot segmentation of novel white matter tracts. - Qi Lu; Wan Liu 001; Zhizheng Zhuo; Yuxing Li; Yunyun Duan; Pinnan Yu; Liying Qu; Chuyang Ye; Yaou Liu (Medical Image Anal., 2022)

Volumetric segmentation of white matter tracts with label embedding. - Wan Liu 001; Qi Lu; Zhizheng Zhuo; Yuxing Li; Yunyun Duan; Pinnan Yu; Liying Qu; Chuyang Ye; Yaou Liu (NeuroImage, 2022)

Positive-unlabeled learning for binary and multi-class cell detection in histopathology images with incomplete annotations. - Zipei Zhao; Fengqian Pang; Yaou Liu; Zhiwen Liu; Chuyang Ye (CoRR, 2023)

Unsupervised Brain Tumor Segmentation with Image-based Prompts. - Xinru Zhang; Ni Ou; Chenghao Liu; Zhizheng Zhuo; Yaou Liu; Chuyang Ye (CoRR, 2023)

CarveMix: A simple data augmentation method for brain lesion segmentation. - Xinru Zhang; Chenghao Liu; Ni Ou; Xiangzhu Zeng; Zhizheng Zhuo; Yunyun Duan; Xiaoliang Xiong; Yizhou Yu; Zhiwen Liu; Yaou Liu; Chuyang Ye (NeuroImage, 2023)

One-shot segmentation of novel white matter tracts via extensive data augmentation and adaptive knowledge transfer. - Wan Liu 001; Zhizheng Zhuo; Yaou Liu; Chuyang Ye (Medical Image Anal., 2023)

MedMM: A Multimodal Fusion Framework for 3D Medical Image Classification with Multigranular Text Guidance. - Shanbo Zhao; Meihui Zhang 001; Xiaoqin Zhu; Junjie Li; Yunyun Duan; Zhizheng Zhuo; Yaou Liu; Chuyang Ye (BigCom, 2024)

A Foundation Model for Brain Lesion Segmentation with Mixture of Modality Experts. - Xinru Zhang; Ni Ou; Berke Doga Basaran; Marco Visentin; Mengyun Qiao; Renyang Gu; Cheng Ouyang; Yaou Liu; Paul M. Matthews; Chuyang Ye; Wenjia Bai (MICCAI (12), 2024)

Pathology-genomic fusion via biologically informed cross-modality graph learning for survival analysis. - Zeyu Zhang; Yuanshen Zhao; Jingxian Duan; Yaou Liu; Hairong Zheng; Dong Liang 001; Zhenyu Zhang; Zhi-Cheng Li 001 (CoRR, 2024)

Deep learning enables accurate brain tissue microstructure analysis based on clinically feasible diffusion magnetic resonance imaging. - Yuxing Li; Zhizheng Zhuo; Chenghao Liu; Yunyun Duan; Yulu Shi; Tingting Wang; Runzhi Li; Yanli Wang; Jiwei Jiang; Jun Xu; Decai Tian; Xinghu Zhang; et al. (NeuroImage, 2024)

Drop and Align: Fusing Pathology and Genomics via Graph Learning for Cancer Survival Prediction. - Zeyu Zhang; Yuanshen Zhao; Jingxian Duan; Yaou Liu; Dong Liang 001; Zhi-Cheng Li 001 (ISBI, 2025)

Anatomy-guided slice-description interaction for multimodal brain disease diagnosis based on 3D image and radiological report. - Xin Gao; Meihui Zhang 001; Junjie Li; Shanbo Zhao; Zhizheng Zhuo; Liying Qu; Jinyuan Weng; Li Chai 009; Yunyun Duan; Chuyang Ye; Yaou Liu (Comput. Medical Imaging Graph., 2025)

A Foundation Model for Lesion Segmentation on Brain MRI With Mixture of Modality Experts. - Xinru Zhang; Ni Ou; Berke Doga Basaran; Marco Visentin; Mengyun Qiao; Renyang Gu; Paul M. Matthews; Yaou Liu; Chuyang Ye; Wenjia Bai (IEEE Trans. Medical Imaging, 2025)