Liang Sun

According to our database, Liang Sun authored at least 31 papers between 2015 and 2024.

Collaborative distances:

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

2024

Multi-Instance Multi-Task Learning for Joint Clinical Outcome and Genomic Profile Predictions From the Histopathological Images.

Wei Shao, Hang Shi, Jianxin Liu, Yingli Zuo, Liang Sun, Tiansong Xia, Wanyuan Chen, Peng Wan, Jianpeng Sheng, Qi Zhu, Daoqiang Zhang

IEEE Trans. Medical Imaging, June, 2024

MAS-CL: An End-to-End Multi-Atlas Supervised Contrastive Learning Framework for Brain ROI Segmentation.

Liang Sun, Yanling Fu, Junyong Zhao, Wei Shao, Qi Zhu, Daoqiang Zhang

IEEE Trans. Image Process., 2024

Global-local consistent semi-supervised segmentation of histopathological image with different perturbations.

Xi Guan, Qi Zhu, Liang Sun, Junyong Zhao, Daoqiang Zhang, Peng Wan, Wei Shao

Pattern Recognit., 2024

MSEF-Net: Multi-scale edge fusion network for lumbosacral plexus segmentation with MR image.

Junyong Zhao, Liang Sun, Zhi Sun, Xin Zhou, Haipeng Si, Daoqiang Zhang

Artif. Intell. Medicine, 2024

2023

Deep Semi-Supervised Ultrasound Image Segmentation by Using a Shadow Aware Network With Boundary Refinement.

Fang Chen, Lingyu Chen, Wentao Kong, Weijing Zhang, Pengfei Zheng, Liang Sun, Daoqiang Zhang, Hongen Liao

IEEE Trans. Medical Imaging, December, 2023

Characterizing the Survival-Associated Interactions Between Tumor-Infiltrating Lymphocytes and Tumors From Pathological Images and Multi-Omics Data.

Wei Shao, Yingli Zuo, Yangyang Shi, Yawen Wu, Jiao Tang, Junyong Zhao, Liang Sun, Zixiao Lu, Jianpeng Sheng, Qi Zhu, Daoqiang Zhang

IEEE Trans. Medical Imaging, October, 2023

Semi-Supervised Multi-View Fusion for Identifying CAP and COVID-19 With Unlabeled CT Images.

Qi Zhu, Yuze Zhou, Yuan Yao, Liang Sun, Feng Shi, Wei Shao, Daoqiang Zhang, Dinggang Shen

IEEE Trans. Emerg. Top. Comput. Intell., June, 2023

Multi-scale multi-hierarchy attention convolutional neural network for fetal brain extraction.

Liang Sun, Wei Shao, Qi Zhu, Meiling Wang, Gang Li, Daoqiang Zhang

Pattern Recognit., 2023

2022

An Explainable 3D Residual Self-Attention Deep Neural Network for Joint Atrophy Localization and Alzheimer's Disease Diagnosis Using Structural MRI.

Xin Zhang, Liangxiu Han, Wenyong Zhu, Liang Sun, Daoqiang Zhang

IEEE J. Biomed. Health Informatics, 2022

Temporal Information-Guided Generative Adversarial Networks for Stimuli Image Reconstruction From Human Brain Activities.

Shuo Huang, Liang Sun, Muhammad Yousefnezhad, Meiling Wang, Daoqiang Zhang

IEEE Trans. Cogn. Dev. Syst., 2022

Residual-atrous attention network for lumbosacral plexus segmentation with MR image.

Junyong Zhao, Liang Sun, Xin Zhou, Shuo Huang, Haipeng Si, Daoqiang Zhang

Comput. Medical Imaging Graph., 2022

Region-Based Dense Adversarial Generation for Medical Image Segmentation.

Ao Shen, Liang Sun, Mengting Xu, Daoqiang Zhang

Proceedings of the Artificial Intelligence - Second CAAI International Conference, 2022

Integrative Analysis of Multi-view Histopathological Image Features for the Diagnosis of Lung Cancer.

Zongxiang Pei, Yingli Zuo, Liang Sun, Meiling Wang, Daoqiang Zhang, Wei Shao

Proceedings of the Artificial Intelligence - Second CAAI International Conference, 2022

2021

Dual Attention Multi-Instance Deep Learning for Alzheimer's Disease Diagnosis With Structural MRI.

Wenyong Zhu, Liang Sun, Jiashuang Huang, Liangxiu Han, Daoqiang Zhang

IEEE Trans. Medical Imaging, 2021

GACDN: generative adversarial feature completion and diagnosis network for COVID-19.

Qi Zhu, Haizhou Ye, Liang Sun, Zhongnian Li, Ran Wang, Feng Shi, Dinggang Shen, Daoqiang Zhang

BMC Medical Imaging, 2021

2020

Anatomical Attention Guided Deep Networks for ROI Segmentation of Brain MR Images.

Liang Sun, Wei Shao, Daoqiang Zhang, Mingxia Liu

IEEE Trans. Medical Imaging, 2020

Integrative Analysis of Pathological Images and Multi-Dimensional Genomic Data for Early-Stage Cancer Prognosis.

Wei Shao, Kun Huang, Zhi Han, Jun Cheng, Liang Cheng, Tongxin Wang, Liang Sun, Zixiao Lu, Jie Zhang, Daoqiang Zhang

IEEE Trans. Medical Imaging, 2020

Adaptive Feature Selection Guided Deep Forest for COVID-19 Classification With Chest CT.

Liang Sun, Zhanhao Mo, Fuhua Yan, Liming Xia, Fei Shan, Zhongxiang Ding, Bin Song, Wanchun Gao, Wei Shao, Feng Shi, Huan Yuan, Huiting Jiang, Dijia Wu, Ying Wei, Yaozong Gao, He Sui, Daoqiang Zhang, Dinggang Shen

IEEE J. Biomed. Health Informatics, 2020

High-Order Feature Learning for Multi-Atlas Based Label Fusion: Application to Brain Segmentation With MRI.

Liang Sun, Wei Shao, Mingliang Wang, Daoqiang Zhang, Mingxia Liu

IEEE Trans. Image Process., 2020

Multi-task multi-modal learning for joint diagnosis and prognosis of human cancers.

Wei Shao, Tongxin Wang, Liang Sun, Tianhan Dong, Zhi Han, Zhi Huang, Jie Zhang, Daoqiang Zhang, Kun Huang

Medical Image Anal., 2020

Adaptive Feature Selection Guided Deep Forest for COVID-19 Classification with Chest CT.

Liang Sun, Zhanhao Mo, Fuhua Yan, Liming Xia, Fei Shan, Zhongxiang Ding, Wei Shao, Feng Shi, Huan Yuan, Huiting Jiang, Dijia Wu, Ying Wei, Yaozong Gao, Wanchun Gao, He Sui, Daoqiang Zhang, Dinggang Shen

CoRR, 2020

Perceived Image Reconstruction from Human Brain Activity via Time-Series Information Guided Generative Adversarial Networks.

Shuo Huang, Liang Sun, Muhammad Yousefnezhad, Meiling Wang, Daoqiang Zhang

Proceedings of the Neural Information Processing - 27th International Conference, 2020

2019

Topological correction of infant white matter surfaces using anatomically constrained convolutional neural network.

Liang Sun, Daoqiang Zhang, Chunfeng Lian, Li Wang, Zhengwang Wu, Wei Shao, Weili Lin, Dinggang Shen, Gang Li

NeuroImage, 2019

Reliability-based robust multi-atlas label fusion for brain MRI segmentation.

Liang Sun, Chen Zu, Wei Shao, Junye Guang, Daoqiang Zhang, Mingxia Liu

Artif. Intell. Medicine, 2019

Automatic Fetal Brain Extraction Using Multi-stage U-Net with Deep Supervision.

Jingjiao Lou, Dengwang Li, Toan Duc Bui, Fenqiang Zhao, Liang Sun, Gang Li, Dinggang Shen

Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019

Construction of 4D Neonatal Cortical Surface Atlases Using Wasserstein Distance.

Zengsi Chen, Zhengwang Wu, Liang Sun, Fan Wang, Li Wang, Fenqiang Zhao, Weili Lin, John H. Gilmore, Dinggang Shen, Gang Li

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

2018

Topological Correction of Infant Cortical Surfaces Using Anatomically Constrained U-Net.

Liang Sun, Daoqiang Zhang, Li Wang, Wei Shao, Zengsi Chen, Weili Lin, Dinggang Shen, Gang Li

Proceedings of the Machine Learning in Medical Imaging - 9th International Workshop, 2018

Ordinal Multi-modal Feature Selection for Survival Analysis of Early-Stage Renal Cancer.

Wei Shao, Jun Cheng, Liang Sun, Zhi Han, Qianjin Feng, Daoqiang Zhang, Kun Huang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Deep active learning for nucleus classification in pathology images.

Wei Shao, Liang Sun, Daoqiang Zhang

Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

2017

High-order boltzmann machine-based unsupervised feature learning for multi-atlas segmentation.

Liang Sun, Wei Shao, Daoqiang Zhang

Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

2015

Reliability Guided Forward and Backward Patch-Based Method for Multi-atlas Segmentation.

Liang Sun, Chen Zu, Daoqiang Zhang

Proceedings of the Patch-Based Techniques in Medical Imaging, 2015