Combination of Grey Matter and White Matter Features for Early Prediction of Posttraumatic Stress Disorder. - Si Wang; Hao Hu; Shanshan Su; Luyan Liu; Zhen Wang 015; Qian Wang 001; Dinggang Shen (IDEAL, 2016)

Feature Selection Based on Iterative Canonical Correlation Analysis for Automatic Diagnosis of Parkinson's Disease. - Luyan Liu; Qian Wang 001; Ehsan Adeli 001; Lichi Zhang; Han Zhang 002; Dinggang Shen (MICCAI (2), 2016)

Outcome Prediction for Patient with High-Grade Gliomas from Brain Functional and Structural Networks. - Luyan Liu; Han Zhang 002; Islem Rekik; Xiaobo Chen 001; Qian Wang 001; Dinggang Shen (MICCAI (2), 2016)

3D Deep Learning for Multi-modal Imaging-Guided Survival Time Prediction of Brain Tumor Patients. - Dong Nie; Han Zhang 002; Ehsan Adeli 001; Luyan Liu; Dinggang Shen (MICCAI (2), 2016)

Novel SVPWM technique in phase-fault of the six-phase induction machine. - Luyan Liu; Song Wang; Lei Cao; Yonggui Kao 001; Hamid Reza Karimi; Chao Chen (IECON, 2017)

SVPWM techniques based on twelve space-vectors and its improvement for six-phase asynchronous machine. - Luyan Liu; Song Wang; Yusai Zheng; Yonggui Kao 001; Hamid Reza Karimi; Chao Chen (IECON, 2017)

Multi-label Inductive Matrix Completion for Joint MGMT and IDH1 Status Prediction for Glioma Patients. - Lei Chen 011; Han Zhang 002; Kim-Han Thung; Luyan Liu; Junfeng Lu; Jinsong Wu 002; Qian Wang 001; Dinggang Shen (MICCAI (2), 2017)

Exploring diagnosis and imaging biomarkers of Parkinson's disease via iterative canonical correlation analysis based feature selection. - Luyan Liu; Qian Wang 001; Ehsan Adeli 001; Lichi Zhang; Han Zhang 002; Dinggang Shen (Comput. Medical Imaging Graph., 2018)

Multi-Label Nonlinear Matrix Completion With Transductive Multi-Task Feature Selection for Joint MGMT and IDH1 Status Prediction of Patient With High-Grade Gliomas. - Lei Chen 011; Han Zhang 002; Junfeng Lu; Kim-Han Thung; Abudumijiti Aibaidula; Luyan Liu; Songcan Chen; Lei Jin 006; Jinsong Wu 002; Qian Wang 001; LiangFu Zhou; Dinggang Shen (IEEE Trans. Medical Imaging, 2018)

Cross-denoising Network against Corrupted Labels in Medical Image Segmentation with Domain Shift. - Qinming Zhang; Luyan Liu; Kai Ma 002; Cheng Zhuo; Yefeng Zheng 001 (IJCAI, 2020)

Learning Crisp Edge Detector Using Logical Refinement Network. - Luyan Liu; Kai Ma 002; Yefeng Zheng 001 (MICCAI (4), 2020)

Seg4Reg+: Consistency Learning Between Spine Segmentation and Cobb Angle Regression. - Yi Lin 009; Luyan Liu; Kai Ma 002; Yefeng Zheng 001 (MICCAI (5), 2021)

MixSearch: Searching for Domain Generalized Medical Image Segmentation Architectures. - Luyan Liu; Zhiwei Wen; Songwei Liu; Hong-Yu Zhou; Hongwei Zhu; Weicheng Xie 001; Linlin Shen; Kai Ma 002; Yefeng Zheng 001 (CoRR, 2021)

S-CUDA: Self-cleansing unsupervised domain adaptation for medical image segmentation. - Luyan Liu; Zhengdong Zhang; Shuai Li 001; Kai Ma 002; Yefeng Zheng 001 (Medical Image Anal., 2021)

Seg4Reg+: Consistency Learning between Spine Segmentation and Cobb Angle Regression. - Yi Lin 009; Luyan Liu; Kai Ma 001; Yefeng Zheng 001 (CoRR, 2022)

Progressive Attention Guidance for Whole Slide Vulvovaginal Candidiasis Screening. - Jiangdong Cai; Honglin Xiong; Maosong Cao; Luyan Liu; Lichi Zhang; Qian Wang 001 (MICCAI (6), 2023)

Detection-Free Pipeline for Cervical Cancer Screening of Whole Slide Images. - Maosong Cao; Manman Fei; Jiangdong Cai; Luyan Liu; Lichi Zhang; Qian Wang 001 (MICCAI (6), 2023)

Gait Cycle-Inspired Learning Strategy for Continuous Prediction of Knee Joint Trajectory from sEMG. - Xueming Fu; Hao Zheng 008; Luyan Liu; Wenjuan Zhong; Haowen Liu; Wenxuan Xiong; Yuyang Zhang; Yifeng Chen; Dong Wei 004; Mingjie Dong; Yefeng Zheng 001; Mingming Zhang 001 (CoRR, 2023)

Multiple Kernel Clustering With Compressed Subspace Alignment. - Sihang Zhou 001; Qiyuan Ou; Xinwang Liu 002; Siqi Wang 001; Luyan Liu; Siwei Wang 001; En Zhu; Jianping Yin; Xin Xu 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)