Luyan Liu

According to our database, Luyan Liu authored at least 19 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Multiple Kernel Clustering With Compressed Subspace Alignment.

Sihang Zhou, Qiyuan Ou, Xinwang Liu, Siqi Wang, Luyan Liu, Siwei Wang, En Zhu, Jianping Yin, Xin Xu

IEEE Trans. Neural Networks Learn. Syst., 2023

Gait Cycle-Inspired Learning Strategy for Continuous Prediction of Knee Joint Trajectory from sEMG.

Xueming Fu, Hao Zheng, Luyan Liu, Wenjuan Zhong, Haowen Liu, Wenxuan Xiong, Yuyang Zhang, Yifeng Chen, Dong Wei, Mingjie Dong, Yefeng Zheng, Mingming Zhang

CoRR, 2023

Detection-Free Pipeline for Cervical Cancer Screening of Whole Slide Images.

Maosong Cao, Manman Fei, Jiangdong Cai, Luyan Liu, Lichi Zhang, Qian Wang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Progressive Attention Guidance for Whole Slide Vulvovaginal Candidiasis Screening.

Jiangdong Cai, Honglin Xiong, Maosong Cao, Luyan Liu, Lichi Zhang, Qian Wang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2022

Seg4Reg+: Consistency Learning between Spine Segmentation and Cobb Angle Regression.

Yi Lin, Luyan Liu, Kai Ma, Yefeng Zheng

CoRR, 2022

2021

S-CUDA: Self-cleansing unsupervised domain adaptation for medical image segmentation.

Luyan Liu, Zhengdong Zhang, Shuai Li, Kai Ma, Yefeng Zheng

Medical Image Anal., 2021

MixSearch: Searching for Domain Generalized Medical Image Segmentation Architectures.

Luyan Liu, Zhiwei Wen, Songwei Liu, Hong-Yu Zhou, Hongwei Zhu, Weicheng Xie, Linlin Shen, Kai Ma, Yefeng Zheng

CoRR, 2021

Seg4Reg+: Consistency Learning Between Spine Segmentation and Cobb Angle Regression.

Yi Lin, Luyan Liu, Kai Ma, Yefeng Zheng

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2020

Learning Crisp Edge Detector Using Logical Refinement Network.

Luyan Liu, Kai Ma, Yefeng Zheng

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Cross-denoising Network against Corrupted Labels in Medical Image Segmentation with Domain Shift.

Qinming Zhang, Luyan Liu, Kai Ma, Cheng Zhuo, Yefeng Zheng

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

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, Han Zhang, Junfeng Lu, Kim-Han Thung, Abudumijiti Aibaidula, Luyan Liu, Songcan Chen, Lei Jin, Jinsong Wu, Qian Wang, LiangFu Zhou, Dinggang Shen

IEEE Trans. Medical Imaging, 2018

Exploring diagnosis and imaging biomarkers of Parkinson's disease via iterative canonical correlation analysis based feature selection.

Luyan Liu, Qian Wang, Ehsan Adeli, Lichi Zhang, Han Zhang, Dinggang Shen

Comput. Medical Imaging Graph., 2018

2017

Multi-label Inductive Matrix Completion for Joint MGMT and IDH1 Status Prediction for Glioma Patients.

Lei Chen, Han Zhang, Kim-Han Thung, Luyan Liu, Junfeng Lu, Jinsong Wu, Qian Wang, Dinggang Shen

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

SVPWM techniques based on twelve space-vectors and its improvement for six-phase asynchronous machine.

Luyan Liu, Song Wang, Yusai Zheng, Yonggui Kao, Hamid Reza Karimi, Chao Chen

Proceedings of the IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society, Beijing, China, October 29, 2017

Novel SVPWM technique in phase-fault of the six-phase induction machine.

Luyan Liu, Song Wang, Lei Cao, Yonggui Kao, Hamid Reza Karimi, Chao Chen

Proceedings of the IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society, Beijing, China, October 29, 2017

2016

3D Deep Learning for Multi-modal Imaging-Guided Survival Time Prediction of Brain Tumor Patients.

Dong Nie, Han Zhang, Ehsan Adeli, Luyan Liu, Dinggang Shen

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Outcome Prediction for Patient with High-Grade Gliomas from Brain Functional and Structural Networks.

Luyan Liu, Han Zhang, Islem Rekik, Xiaobo Chen, Qian Wang, Dinggang Shen

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Feature Selection Based on Iterative Canonical Correlation Analysis for Automatic Diagnosis of Parkinson's Disease.

Luyan Liu, Qian Wang, Ehsan Adeli, Lichi Zhang, Han Zhang, Dinggang Shen

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

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, Qian Wang, Dinggang Shen

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2016, 2016