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ORCIDLiang Sun 0009
Person information
- affiliation: Nanjing University of Aeronautics and Astronautics, MIIT Key Laboratory of Pattern Analysis and Machine Intelligence, China
Other persons with the same name
- Liang Sun — disambiguation page
- Liang Sun 0001
![[0009-0002-5835-7259]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0009-0002-5835-7259")
— Alibaba Group, Bellevue, WA, USA (and 1 more) - Liang Sun 0002 — New Mexico State University, Mechanical and Aerospace Engineering, Las Cruces, NM, USA (and 3 more)
- Liang Sun 0003 — Dalian University of Technology, College of Computer Science and Technology, China (and 2 more)
- Liang Sun 0004 — University of Science and Technology Beijing, School of Automation and Electrical Engineering, China (and 1 more)
- Liang Sun 0005 — USDA Agricultural Research Service, Washington, DC, USA (and 2 more)
- Liang Sun 0006 — Dalian University of Technology, School of Software, China
- Liang Sun 0007 — Beihang University, School of Electronic and Information Engineering, Beijing, China (and 3 more)
- Liang Sun 0008 — China University of Mining and Technology, Xuzhou, China
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2020 – today
- 2024
[j20]Junyong Zhao, Liang Sun, Zhi Sun, Xin Zhou, Haipeng Si, Daoqiang Zhang:
MSEF-Net: Multi-scale edge fusion network for lumbosacral plexus segmentation with MR image. Artif. Intell. Medicine 148: 102771 (2024)- [j19]Xi Guan, Qi Zhu, Liang Sun, Junyong Zhao, Daoqiang Zhang, Peng Wan, Wei Shao:
Global-local consistent semi-supervised segmentation of histopathological image with different perturbations. Pattern Recognit. 155: 110696 (2024) - [j18]Liang Sun, Yanling Fu, Junyong Zhao, Wei Shao, Qi Zhu, Daoqiang Zhang:
MAS-CL: An End-to-End Multi-Atlas Supervised Contrastive Learning Framework for Brain ROI Segmentation. IEEE Trans. Image Process. 33: 4319-4333 (2024) - [j17]Wei Shao, Hang Shi, Jianxin Liu, Yingli Zuo, Liang Sun, Tiansong Xia, Wanyuan Chen, Peng Wan, Jianpeng Sheng, Qi Zhu, Daoqiang Zhang:
Multi-Instance Multi-Task Learning for Joint Clinical Outcome and Genomic Profile Predictions From the Histopathological Images. IEEE Trans. Medical Imaging 43(6): 2266-2278 (2024) - 2023
- [j16]Liang Sun, Wei Shao, Qi Zhu, Meiling Wang, Gang Li, Daoqiang Zhang:
Multi-scale multi-hierarchy attention convolutional neural network for fetal brain extraction. Pattern Recognit. 133: 109029 (2023) - [j15]Qi Zhu, Yuze Zhou, Yuan Yao, Liang Sun, Feng Shi, Wei Shao, Daoqiang Zhang, Dinggang Shen:
Semi-Supervised Multi-View Fusion for Identifying CAP and COVID-19 With Unlabeled CT Images. IEEE Trans. Emerg. Top. Comput. Intell. 7(3): 887-899 (2023) - [j14]Wei Shao, Yingli Zuo, Yangyang Shi, Yawen Wu, Jiao Tang, Junyong Zhao, Liang Sun, Zixiao Lu, Jianpeng Sheng, Qi Zhu, Daoqiang Zhang:
Characterizing the Survival-Associated Interactions Between Tumor-Infiltrating Lymphocytes and Tumors From Pathological Images and Multi-Omics Data. IEEE Trans. Medical Imaging 42(10): 3025-3035 (2023) - [j13]Fang Chen, Lingyu Chen, Wentao Kong, Weijing Zhang, Pengfei Zheng, Liang Sun, Daoqiang Zhang, Hongen Liao:
Deep Semi-Supervised Ultrasound Image Segmentation by Using a Shadow Aware Network With Boundary Refinement. IEEE Trans. Medical Imaging 42(12): 3779-3793 (2023) - 2022
- [j12]Junyong Zhao, Liang Sun, Xin Zhou, Shuo Huang, Haipeng Si, Daoqiang Zhang:
Residual-atrous attention network for lumbosacral plexus segmentation with MR image. Comput. Medical Imaging Graph. 100: 102109 (2022) - [j11]Shuo Huang, Liang Sun, Muhammad Yousefnezhad, Meiling Wang, Daoqiang Zhang:
Temporal Information-Guided Generative Adversarial Networks for Stimuli Image Reconstruction From Human Brain Activities. IEEE Trans. Cogn. Dev. Syst. 14(3): 1104-1118 (2022) - [j10]Xin Zhang, Liangxiu Han, Wenyong Zhu, Liang Sun, Daoqiang Zhang:
An Explainable 3D Residual Self-Attention Deep Neural Network for Joint Atrophy Localization and Alzheimer's Disease Diagnosis Using Structural MRI. IEEE J. Biomed. Health Informatics 26(11): 5289-5297 (2022) - [c10]Ao Shen, Liang Sun, Mengting Xu, Daoqiang Zhang:
Region-Based Dense Adversarial Generation for Medical Image Segmentation. CICAI (3) 2022: 107-118 - [c9]Zongxiang Pei, Yingli Zuo, Liang Sun, Meiling Wang, Daoqiang Zhang, Wei Shao:
Integrative Analysis of Multi-view Histopathological Image Features for the Diagnosis of Lung Cancer. CICAI (2) 2022: 577-587 - 2021
- [j9]Qi Zhu, Haizhou Ye, Liang Sun, Zhongnian Li, Ran Wang, Feng Shi, Dinggang Shen, Daoqiang Zhang:
GACDN: generative adversarial feature completion and diagnosis network for COVID-19. BMC Medical Imaging 21(1): 154 (2021) - [j8]Wenyong Zhu, Liang Sun, Jiashuang Huang, Liangxiu Han, Daoqiang Zhang:
Dual Attention Multi-Instance Deep Learning for Alzheimer's Disease Diagnosis With Structural MRI. IEEE Trans. Medical Imaging 40(9): 2354-2366 (2021) - 2020
- [j7]Wei Shao, Tongxin Wang, Liang Sun, Tianhan Dong, Zhi Han, Zhi Huang, Jie Zhang, Daoqiang Zhang, Kun Huang:
Multi-task multi-modal learning for joint diagnosis and prognosis of human cancers. Medical Image Anal. 65: 101795 (2020) - [j6]Liang Sun, Wei Shao, Mingliang Wang, Daoqiang Zhang, Mingxia Liu:
High-Order Feature Learning for Multi-Atlas Based Label Fusion: Application to Brain Segmentation With MRI. IEEE Trans. Image Process. 29: 2702-2713 (2020) - [j5]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:
Adaptive Feature Selection Guided Deep Forest for COVID-19 Classification With Chest CT. IEEE J. Biomed. Health Informatics 24(10): 2798-2805 (2020) - [j4]Wei Shao, Kun Huang, Zhi Han, Jun Cheng, Liang Cheng, Tongxin Wang, Liang Sun, Zixiao Lu, Jie Zhang, Daoqiang Zhang:
Integrative Analysis of Pathological Images and Multi-Dimensional Genomic Data for Early-Stage Cancer Prognosis. IEEE Trans. Medical Imaging 39(1): 99-110 (2020) - [j3]Liang Sun, Wei Shao, Daoqiang Zhang, Mingxia Liu:
Anatomical Attention Guided Deep Networks for ROI Segmentation of Brain MR Images. IEEE Trans. Medical Imaging 39(6): 2000-2012 (2020) - [c8]Shuo Huang, Liang Sun, Muhammad Yousefnezhad, Meiling Wang, Daoqiang Zhang:
Perceived Image Reconstruction from Human Brain Activity via Time-Series Information Guided Generative Adversarial Networks. ICONIP (5) 2020: 156-163 - [i2]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:
Adaptive Feature Selection Guided Deep Forest for COVID-19 Classification with Chest CT. CoRR abs/2005.03264 (2020) - [i1]Xin Zhang, Liangxiu Han, Wenyong Zhu, Liang Sun, Daoqiang Zhang:
An Explainable 3D Residual Self-Attention Deep Neural Network FOR Joint Atrophy Localization and Alzheimer's Disease Diagnosis using Structural MRI. CoRR abs/2008.04024 (2020)
2010 – 2019
- 2019
- [j2]Liang Sun, Chen Zu, Wei Shao, Junye Guang, Daoqiang Zhang, Mingxia Liu:
Reliability-based robust multi-atlas label fusion for brain MRI segmentation. Artif. Intell. Medicine 96: 12-24 (2019) - [j1]Liang Sun, Daoqiang Zhang, Chunfeng Lian, Li Wang, Zhengwang Wu, Wei Shao, Weili Lin, Dinggang Shen, Gang Li:
Topological correction of infant white matter surfaces using anatomically constrained convolutional neural network. NeuroImage 198: 114-124 (2019) - [c7]Zengsi Chen, Zhengwang Wu, Liang Sun, Fan Wang, Li Wang, Fenqiang Zhao, Weili Lin, John H. Gilmore, Dinggang Shen, Gang Li:
Construction of 4D Neonatal Cortical Surface Atlases Using Wasserstein Distance. ISBI 2019: 995-998 - [c6]Jingjiao Lou, Dengwang Li, Toan Duc Bui, Fenqiang Zhao, Liang Sun, Gang Li, Dinggang Shen:
Automatic Fetal Brain Extraction Using Multi-stage U-Net with Deep Supervision. MLMI@MICCAI 2019: 592-600 - 2018
- [c5]Wei Shao, Liang Sun, Daoqiang Zhang:
Deep active learning for nucleus classification in pathology images. ISBI 2018: 199-202 - [c4]Liang Sun, Daoqiang Zhang, Li Wang, Wei Shao, Zengsi Chen, Weili Lin, Dinggang Shen, Gang Li:
Topological Correction of Infant Cortical Surfaces Using Anatomically Constrained U-Net. MLMI@MICCAI 2018: 125-133 - [c3]Wei Shao, Jun Cheng, Liang Sun, Zhi Han, Qianjin Feng, Daoqiang Zhang, Kun Huang:
Ordinal Multi-modal Feature Selection for Survival Analysis of Early-Stage Renal Cancer. MICCAI (2) 2018: 648-656 - 2017
- [c2]Liang Sun, Wei Shao, Daoqiang Zhang:
High-order boltzmann machine-based unsupervised feature learning for multi-atlas segmentation. ISBI 2017: 507-510 - 2015
- [c1]Liang Sun, Chen Zu, Daoqiang Zhang:
Reliability Guided Forward and Backward Patch-Based Method for Multi-atlas Segmentation. Patch-MI@MICCAI 2015: 128-136
Coauthor Index
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