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ORCIDShuo Li 0001
Person information
- affiliation: Western University, London, ON, Canada
- affiliation (former): GE Healthcare, London, ON, Canada
- affiliation (former): Concordia University, Medical Imaging Group, Montréal, QC, Canada
Other persons with the same name
- Shuo Li — disambiguation page
- Shuo Li 0002 — Royal Institute of Technology, Stockholm, Sweden
- Shuo Li 0003
![[0000-0002-0357-8284]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-0357-8284")
— RMIT University, School of Engineering, Melbourne, VIC, Australia (and 2 more) - Shuo Li 0004 — Beijing Institute of Technology, School of Optics and Photonics, MOE Key Laboratory of Photo-Electronic Imaging Technology and Systems, China
- Shuo Li 0005 — Beihang University, School of Electronic and Information Engineering, Beijing, China
- Shuo Li 0006 — Central South University, School of Information Science and Engineering / Hunan Engineering Laboratory for Advanced Control and Intelligent Automation, Changsha, China
- Shuo Li 0007 — National University of Defense Technology, College of Computer, State Key Laboratory of High Performance Computing, Changsha, China
- Shuo Li 0008 — University of Virginia, Department of Electrical Engineering, Charlottesville, VA, USA
- Shuo Li 0009 — University of Texas at Arlington, Department of Computer Science and Engineering, USA
- Shuo Li 0010 — Xidian University, School of Artificial Intelligent, MoE Key Laboratory of Intelligent Perception and Image Understanding / International Research Center for Intelligent Perception and Computation, Xi'an, China
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2020 – today
- 2023
[j161]Rongjun Ge, Fanqi Shi, Yang Chen, Shujun Tang, Hailong Zhang, Xiaojian Lou, Wei Zhao, Gouenou Coatrieux, Dazhi Gao, Shuo Li, Xiaoli Mai:
Improving anisotropy resolution of computed tomography and annotation using 3D super-resolution network. Biomed. Signal Process. Control. 82: 104590 (2023)- [j160]Chenyi Zeng, Shen Zhao, Bin Chen, An Zeng, Shuo Li:
Feature-correlation-aware history-preserving-sparse-coding framework for automatic vertebra recognition. Comput. Biol. Medicine 160: 106977 (2023) - [j159]Xifeng Hu, Yankun Cao, Weifeng Hu, Wenzhen Zhang, Jing Li, Chuanyu Wang, Subhas Chandra Mukhopadhyay, Yujun Li, Zhi Liu, Shuo Li:
Refined Feature-based Multi-frame and Multi-scale Fusing Gate network for accurate segmentation of plaques in ultrasound videos. Comput. Biol. Medicine 163: 107091 (2023) - [j158]Shen Zhao, Xiangsheng Li, Jiayi He, Bin Chen, Shuo Li:
Sequence based local-global information fusion framework for vertebrae detection under pathological and FOV variation challenges. Comput. Medical Imaging Graph. 108: 102244 (2023) - [j157]Dong Zhang, Chenchu Xu, Shuo Li:
Heuristic multi-modal integration framework for liver tumor detection from multi-modal non-enhanced MRIs. Expert Syst. Appl. 221: 119782 (2023) - [j156]Ziyue Jiang, Yuting He, Shuai Ye, Pengfei Shao, Xiaomei Zhu, Yi Xu, Yang Chen, Jean-Louis Coatrieux, Shuo Li, Guanyu Yang:
O2M-UDA: Unsupervised dynamic domain adaptation for one-to-multiple medical image segmentation. Knowl. Based Syst. 265: 110378 (2023) - [j155]Zhiyuan Zhu, Taicheng Huang, Zonglei Zhen, Boyu Wang, Xia Wu, Shuo Li:
From sMRI to task-fMRI: A unified geometric deep learning framework for cross-modal brain anatomo-functional mapping. Medical Image Anal. 83: 102681 (2023) - [j154]Shen Zhao, Jinhong Wang, Xinxin Wang, Yikang Wang, Hanying Zheng, Bin Chen, An Zeng, Fuxin Wei, Sadeer Al-Kindi, Shuo Li:
Attractive deep morphology-aware active contour network for vertebral body contour extraction with extensions to heterogeneous and semi-supervised scenarios. Medical Image Anal. 89: 102906 (2023) - [j153]Xiangyu Li, Gongning Luo, Wei Wang, Kuanquan Wang, Shuo Li:
Curriculum label distribution learning for imbalanced medical image segmentation. Medical Image Anal. 89: 102911 (2023) - [j152]Xiangyu Li, Xinjie Liang, Gongning Luo, Wei Wang, Kuanquan Wang, Shuo Li:
Ambiguity-aware breast tumor cellularity estimation via self-ensemble label distribution learning. Medical Image Anal. 90: 102944 (2023) - [j151]Chenchu Xu, Yuhong Song, Dong Zhang, Leonardo Kayat Bittencourt, Sree Harsha Tirumani, Shuo Li:
Spatiotemporal knowledge teacher-student reinforcement learning to detect liver tumors without contrast agents. Medical Image Anal. 90: 102980 (2023) - [j150]Zhongyi Han, Xian-Jin Gui, Haoliang Sun, Yilong Yin, Shuo Li:
Towards Accurate and Robust Domain Adaptation Under Multiple Noisy Environments. IEEE Trans. Pattern Anal. Mach. Intell. 45(5): 6460-6479 (2023) - [j149]Shimeng Yang, Teng Li, Yinping Lv, Yi Xia, Shuo Li:
Carotid Lumen Diameter and Intima-Media Thickness Measurement via Boundary-Guided Pseudo-Labeling. IEEE Signal Process. Lett. 30: 1027-1031 (2023) - [j148]Liansheng Wang, Jiacheng Wang, Lei Zhu, Huazhu Fu, Ping Li, Gary Cheng, Zhipeng Feng, Shuo Li, Pheng-Ann Heng:
Dual Multiscale Mean Teacher Network for Semi-Supervised Infection Segmentation in Chest CT Volume for COVID-19. IEEE Trans. Cybern. 53(10): 6363-6375 (2023) - [j147]Chenchu Xu, Yifei Wang, Dong Zhang, Longfei Han, Yanping Zhang, Jie Chen, Shuo Li:
BMAnet: Boundary Mining With Adversarial Learning for Semi-Supervised 2D Myocardial Infarction Segmentation. IEEE J. Biomed. Health Informatics 27(1): 87-96 (2023) - [j146]Xingxin Xu, Qikui Zhu, Hanning Ying, Jiongcheng Li, Xiujun Cai, Shuo Li, Xiaoqing Liu, Yizhou Yu:
A Knowledge-Guided Framework for Fine-Grained Classification of Liver Lesions Based on Multi-Phase CT Images. IEEE J. Biomed. Health Informatics 27(1): 386-396 (2023) - [j145]Guanyu Yang, Yuting He, Yang Lv, Yang Chen, Jean-Louis Coatrieux, Xiaoxuan Sun, Qiang Wang, Yongyue Wei, Shuo Li, Yinsu Zhu:
Multi-Task Learning for Pulmonary Arterial Hypertension Prognosis Prediction via Memory Drift and Prior Prompt Learning on 3D Chest CT. IEEE J. Biomed. Health Informatics 27(4): 1967-1978 (2023) - [j144]Yinli Tian, Wenjian Qin, Fei Xue, Ricardo Lambo, Meiyan Yue, Songhui Diao, Lequan Yu, Yaoqin Xie, Hailin Cao, Shuo Li:
ARR-GCN: Anatomy-Relation Reasoning Graph Convolutional Network for Automatic Fine-Grained Segmentation of Organ's Surgical Anatomy. IEEE J. Biomed. Health Informatics 27(7): 3258-3269 (2023) - [j143]Gongning Luo, Xinghua Ma, Jinwen Guo, Mingye Zou, Wei Wang, Yang Cao, Kuanquan Wang, Shuo Li:
Trajectory-Aware Adaptive Imaging Clue Analysis for Guidewire Artifact Removal in Intravascular Optical Coherence Tomography. IEEE J. Biomed. Health Informatics 27(9): 4293-4304 (2023) - [j142]Kaini Wang, Shuaishuai Zhuang, Juzheng Miao, Yang Chen, Jie Hua, Guang-Quan Zhou, Xiaopu He, Shuo Li:
Adaptive Frequency Learning Network With Anti-Aliasing Complex Convolutions for Colon Diseases Subtypes. IEEE J. Biomed. Health Informatics 27(10): 4816-4827 (2023) - [j141]Mingchao Li, Yerui Chen, Zexuan Ji, Keren Xie, Songtao Yuan, Qiang Chen, Shuo Li:
Corrections to "Image Projection Network: 3D to 2D Image Segmentation in OCTA Images". IEEE Trans. Medical Imaging 42(1): 329 (2023) - [c104]Yuting He, Guanyu Yang, Rongjun Ge, Yang Chen, Jean-Louis Coatrieux, Boyu Wang, Shuo Li:
Geometric Visual Similarity Learning in 3D Medical Image Self-Supervised Pre-training. CVPR 2023: 9538-9547 - [c103]Xiaofei Chen, Yuting He, Cheng Xue, Rongjun Ge, Shuo Li, Guanyu Yang:
Knowledge Boosting: Rethinking Medical Contrastive Vision-Language Pre-training. MICCAI (1) 2023: 405-415 - [i27]Yuting He, Guanyu Yang, Rongjun Ge, Yang Chen, Jean-Louis Coatrieux, Boyu Wang, Shuo Li:
Geometric Visual Similarity Learning in 3D Medical Image Self-supervised Pre-training. CoRR abs/2303.00874 (2023) - [i26]Gongning Luo, Kuanquan Wang, Jun Liu, Shuo Li, Xinjie Liang, Xiangyu Li, Shaowei Gan, Wei Wang, Suyu Dong, Wenyi Wang, Pengxin Yu, Enyou Liu, Hongrong Wei, Na Wang, Jia Guo, Huiqi Li, Zhao Zhang, Ziwei Zhao, Na Gao, Nan An, Ashkan Pakzad, Bojidar Rangelov, Jiaqi Dou, Song Tian, Zeyu Liu, Yi Wang, Ampatishan Sivalingam, Kumaradevan Punithakumar, Zhaowen Qiu, Xin Gao:
Efficient automatic segmentation for multi-level pulmonary arteries: The PARSE challenge. CoRR abs/2304.03708 (2023) - [i25]Xiaofei Chen, Yuting He, Cheng Xue, Rongjun Ge, Shuo Li, Guanyu Yang:
Knowledge Boosting: Rethinking Medical Contrastive Vision-Language Pre-Training. CoRR abs/2307.07246 (2023) - 2022
- [j140]Ziqiao Wang, Zhi Liu, Shuo Li:
Weak lesion feature extraction by dual-branch separation and enhancement network for safe hemorrhagic transformation prediction. Comput. Medical Imaging Graph. 97: 102038 (2022) - [j139]Yuhui Song, Xiuquan Du, Yanping Zhang, Shuo Li:
Two-stage segmentation network with feature aggregation and multi-level attention mechanism for multi-modality heart images. Comput. Medical Imaging Graph. 97: 102054 (2022) - [j138]Yashu Liu, Wei Wang, Gongning Luo, Kuanquan Wang, Shuo Li:
A contrastive consistency semi-supervised left atrium segmentation model. Comput. Medical Imaging Graph. 99: 102092 (2022) - [j137]Rongjun Ge, Yuting He, Cong Xia, Chenchu Xu, Weiya Sun, Guanyu Yang, Junru Li, Zhihua Wang, Hailing Yu, Daoqiang Zhang, Yang Chen, Limin Luo, Shuo Li, Yinsu Zhu:
X-CTRSNet: 3D cervical vertebra CT reconstruction and segmentation directly from 2D X-ray images. Knowl. Based Syst. 236: 107680 (2022) - [j136]Rongjun Ge, Cong Xia, Yuting He, Hailong Sun, Daoqiang Zhang, Guanyu Yang, Wentao Xiang, Jinjun Shi, Limin Luo, Yinsu Zhu, Shuo Li, Yang Chen:
RE-3DLVNet: Refined estimation of the left ventricle volume via interactive 3D segmentation and reinforced quantification. Knowl. Based Syst. 251: 109212 (2022) - [j135]Rongchang Zhao, Xuanlin Chen, Zailiang Chen, Shuo Li:
Diagnosing glaucoma on imbalanced data with self-ensemble dual-curriculum learning. Medical Image Anal. 75: 102295 (2022) - [j134]Shen Zhao, Bin Chen, Heyou Chang, Bo Chen, Shuo Li:
Reasoning discriminative dictionary-embedded network for fully automatic vertebrae tumor diagnosis. Medical Image Anal. 79: 102456 (2022) - [j133]Ranran Zhang, Yankun Cao, Yujun Li, Zhi Liu, Jianye Wang, Jiahuan He, Chenyang Zhang, Xiaoyu Sui, Pengfei Zhang, Lizhen Cui, Shuo Li:
MVFStain: Multiple virtual functional stain histopathology images generation based on specific domain mapping. Medical Image Anal. 80: 102520 (2022) - [j132]Xiaojiao Xiao, Jianfeng Zhao, Shuo Li:
Task relevance driven adversarial learning for simultaneous detection, size grading, and quantification of hepatocellular carcinoma via integrating multi-modality MRI. Medical Image Anal. 81: 102554 (2022) - [j131]Huazhu Fu, Tao Zhou, Shuo Li, Alejandro F. Frangi:
Guest Editorial Generative Adversarial Networks in Biomedical Image Computing. IEEE J. Biomed. Health Informatics 26(1): 4-6 (2022) - [j130]Xiangyu Li, Gongning Luo, Wei Wang, Kuanquan Wang, Yue Gao, Shuo Li:
Hematoma Expansion Context Guided Intracranial Hemorrhage Segmentation and Uncertainty Estimation. IEEE J. Biomed. Health Informatics 26(3): 1140-1151 (2022) - [j129]Yuting He, Tiantian Li, Rongjun Ge, Jian Yang, Youyong Kong, Jian Zhu, Huazhong Shu, Guanyu Yang, Shuo Li:
Few-Shot Learning for Deformable Medical Image Registration With Perception-Correspondence Decoupling and Reverse Teaching. IEEE J. Biomed. Health Informatics 26(3): 1177-1187 (2022) - [j128]Xiaoming Qi, Yuting He, Guanyu Yang, Yang Chen, Jian Yang, Wangyag Liu, Yinsu Zhu, Yi Xu, Huazhong Shu, Shuo Li:
MVSGAN: Spatial-Aware Multi-View CMR Fusion for Accurate 3D Left Ventricular Myocardium Segmentation. IEEE J. Biomed. Health Informatics 26(5): 2264-2275 (2022) - [j127]Wufeng Xue, Zejian Chen, Tianfu Wang, Shuo Li, Dong Ni:
Regional Cardiac Motion Scoring With Multi-Scale Motion-Based Spatial Attention. IEEE J. Biomed. Health Informatics 26(7): 3116-3126 (2022) - [j126]Huimin Zhao, Zhenyu Fang, Jinchang Ren, Calum MacLellan, Yong Xia, Shuo Li, Meijun Sun, Kevin Ren:
SC2Net: A Novel Segmentation-Based Classification Network for Detection of COVID-19 in Chest X-Ray Images. IEEE J. Biomed. Health Informatics 26(8): 4032-4043 (2022) - [j125]Xiaoxiao Cui, Yankun Cao, Zhi Liu, Xiaoyu Sui, Jia Mi, Yuezhong Zhang, Lizhen Cui, Shuo Li:
TRSA-Net: Task Relation Spatial Co-Attention for Joint Segmentation, Quantification and Uncertainty Estimation on Paired 2D Echocardiography. IEEE J. Biomed. Health Informatics 26(8): 4067-4078 (2022) - [j124]Tao Tan, Ravi Soni, Jungong Han, Shuo Li:
Guest Editorial Artificial Intelligence in Pre-DICOM. IEEE J. Biomed. Health Informatics 26(9): 4357-4358 (2022) - [c102]Zhangfu Dong, Yuting He, Xiaoming Qi, Yang Chen, Huazhong Shu, Jean-Louis Coatrieux, Guanyu Yang, Shuo Li:
MNet: Rethinking 2D/3D Networks for Anisotropic Medical Image Segmentation. IJCAI 2022: 870-876 - [c101]Kai-Ni Wang, Yuting He, Shuaishuai Zhuang, Juzheng Miao, Xiaopu He, Ping Zhou, Guanyu Yang, Guang-Quan Zhou, Shuo Li:
FFCNet: Fourier Transform-Based Frequency Learning and Complex Convolutional Network for Colon Disease Classification. MICCAI (3) 2022: 78-87 - [c100]Dong Liang, Jun Liu, Kuanquan Wang, Gongning Luo, Wei Wang, Shuo Li:
Position-Prior Clustering-Based Self-attention Module for Knee Cartilage Segmentation. MICCAI (5) 2022: 193-202 - [c99]Jiacheng Shi, Yuting He, Youyong Kong, Jean-Louis Coatrieux, Huazhong Shu, Guanyu Yang, Shuo Li:
XMorpher: Full Transformer for Deformable Medical Image Registration via Cross Attention. MICCAI (6) 2022: 217-226 - [c98]Xiaoming Qi, Guanyu Yang, Yuting He, Wangyan Liu, Ali Islam, Shuo Li:
Contrastive Re-localization and History Distillation in Federated CMR Segmentation. MICCAI (5) 2022: 256-265 - [c97]Chenchu Xu, Dong Zhang, Yuhui Song, Leonardo Kayat Bittencourt, Sree Harsha Tirumani, Shuo Li:
Contrast-Free Liver Tumor Detection Using Ternary Knowledge Transferred Teacher-Student Deep Reinforcement Learning. MICCAI (5) 2022: 266-275 - [c96]Xiangyu Li, Xinjie Liang, Gongning Luo, Wei Wang, Kuanquan Wang, Shuo Li:
ULTRA: Uncertainty-Aware Label Distribution Learning for Breast Tumor Cellularity Assessment. MICCAI (3) 2022: 303-312 - [c95]Yuqiang Gao, Guanyu Yang, Xiaoming Qi, Yinsu Zhu, Shuo Li:
SAPJNet: Sequence-Adaptive Prototype-Joint Network for Small Sample Multi-sequence MRI Diagnosis. MICCAI (1) 2022: 549-559 - [c94]Rongjun Ge, Yuting He, Cong Xia, Hailong Sun, Yikun Zhang, Dianlin Hu, Sijie Chen, Yang Chen, Shuo Li, Daoqiang Zhang:
DDPNet: A Novel Dual-Domain Parallel Network for Low-Dose CT Reconstruction. MICCAI (6) 2022: 748-757 - [e14]Linwei Wang, Qi Dou, P. Thomas Fletcher, Stefanie Speidel, Shuo Li:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2022 - 25th International Conference, Singapore, September 18-22, 2022, Proceedings, Part I. Lecture Notes in Computer Science 13431, Springer 2022, ISBN 978-3-031-16430-9 [contents] - [e13]Linwei Wang, Qi Dou, P. Thomas Fletcher, Stefanie Speidel, Shuo Li:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2022 - 25th International Conference, Singapore, September 18-22, 2022, Proceedings, Part II. Lecture Notes in Computer Science 13432, Springer 2022, ISBN 978-3-031-16433-0 [contents] - [e12]Linwei Wang, Qi Dou, P. Thomas Fletcher, Stefanie Speidel, Shuo Li:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2022 - 25th International Conference, Singapore, September 18-22, 2022, Proceedings, Part III. Lecture Notes in Computer Science 13433, Springer 2022, ISBN 978-3-031-16436-1 [contents] - [e11]Linwei Wang, Qi Dou, P. Thomas Fletcher, Stefanie Speidel, Shuo Li:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2022 - 25th International Conference, Singapore, September 18-22, 2022, Proceedings, Part IV. Lecture Notes in Computer Science 13434, Springer 2022, ISBN 978-3-031-16439-2 [contents] - [e10]Linwei Wang, Qi Dou, P. Thomas Fletcher, Stefanie Speidel, Shuo Li:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2022 - 25th International Conference, Singapore, September 18-22, 2022, Proceedings, Part V. Lecture Notes in Computer Science 13435, Springer 2022, ISBN 978-3-031-16442-2 [contents] - [e9]Linwei Wang, Qi Dou, P. Thomas Fletcher, Stefanie Speidel, Shuo Li:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2022 - 25th International Conference, Singapore, September 18-22, 2022, Proceedings, Part VI. Lecture Notes in Computer Science 13436, Springer 2022, ISBN 978-3-031-16445-3 [contents] - [e8]Linwei Wang, Qi Dou, P. Thomas Fletcher, Stefanie Speidel, Shuo Li:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2022 - 25th International Conference, Singapore, September 18-22, 2022, Proceedings, Part VII. Lecture Notes in Computer Science 13437, Springer 2022, ISBN 978-3-031-16448-4 [contents] - [e7]Linwei Wang, Qi Dou, P. Thomas Fletcher, Stefanie Speidel, Shuo Li:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2022 - 25th International Conference, Singapore, September 18-22, 2022, Proceedings, Part VIII. Lecture Notes in Computer Science 13438, Springer 2022, ISBN 978-3-031-16451-4 [contents] - [i24]Jianfeng Zhao, Dengwang Li, Shuo Li:
United adversarial learning for liver tumor segmentation and detection of multi-modality non-contrast MRI. CoRR abs/2201.02629 (2022) - [i23]Zhangfu Dong, Yuting He, Xiaoming Qi, Yang Chen, Huazhong Shu, Jean-Louis Coatrieux, Guanyu Yang, Shuo Li:
MNet: Rethinking 2D/3D Networks for Anisotropic Medical Image Segmentation. CoRR abs/2205.04846 (2022) - [i22]Xiangyu Li, Xinjie Liang, Gongning Luo, Wei Wang, Kuanquan Wang, Shuo Li:
ULTRA: Uncertainty-aware Label Distribution Learning for Breast Tumor Cellularity Assessment. CoRR abs/2206.06623 (2022) - [i21]Jiacheng Shi, Yuting He, Youyong Kong, Jean-Louis Coatrieux, Huazhong Shu, Guanyu Yang, Shuo Li:
XMorpher: Full Transformer for Deformable Medical Image Registration via Cross Attention. CoRR abs/2206.07349 (2022) - [i20]Dong Liang, Jun Liu, Kuanquan Wang, Gongning Luo, Wei Wang, Shuo Li:
Position-prior Clustering-based Self-attention Module for Knee Cartilage Segmentation. CoRR abs/2206.10286 (2022) - [i19]Kai-Ni Wang, Yuting He, Shuaishuai Zhuang, Juzheng Miao, Xiaopu He, Ping Zhou, Guanyu Yang, Guang-Quan Zhou, Shuo Li:
FFCNet: Fourier Transform-Based Frequency Learning and Complex Convolutional Network for Colon Disease Classification. CoRR abs/2207.01287 (2022) - [i18]Liansheng Wang, Jiacheng Wang, Lei Zhu, Huazhu Fu, Ping Li, Gary Cheng, Zhipeng Feng, Shuo Li, Pheng-Ann Heng:
Dual Multi-scale Mean Teacher Network for Semi-supervised Infection Segmentation in Chest CT Volume for COVID-19. CoRR abs/2211.05548 (2022) - 2021
- [j123]Chenchu Xu, Zhifan Gao, Heye Zhang, Shuo Li, Victor Hugo C. de Albuquerque:
Video salient object detection using dual-stream spatiotemporal attention. Appl. Soft Comput. 108: 107433 (2021) - [j122]Guang Yang, Heye Zhang, David N. Firmin, Shuo Li:
Recent advances in artificial intelligence for cardiac imaging. Comput. Medical Imaging Graph. 90: 101928 (2021) - [j121]Xiuquan Du, Xiaofei Xu, Heng Liu, Shuo Li:
TSU-net: Two-stage multi-scale cascade and multi-field fusion U-net for right ventricular segmentation. Comput. Medical Imaging Graph. 93: 101971 (2021) - [j120]Tianling Lyu, Guanyu Yang, Xingran Zhao, Huazhong Shu, Limin Luo, Duanduan Chen, Jiang Xiong, Jian Yang, Shuo Li, Jean-Louis Coatrieux, Yang Chen:
Dissected aorta segmentation using convolutional neural networks. Comput. Methods Programs Biomed. 211: 106417 (2021) - [j119]Zhi Liu, Yunhua Lu, Xiaochuan Zhang, Sen Wang, Shuo Li, Bo Chen:
Multi-Indices Quantification for Left Ventricle via DenseNet and GRU-Based Encoder-Decoder with Attention. Complex. 2021: 3260259:1-3260259:9 (2021) - [j118]Chenchu Xu, Zhifan Gao, Dong Zhang, Jinglin Zhang, Lei Xu, Shuo Li:
Applying Cross-Modality Data Processing for Infarction Learning in Medical Internet of Things. IEEE Internet Things J. 8(23): 16902-16910 (2021) - [j117]Shen Zhao, Xi Wu, Bo Chen, Shuo Li:
Automatic vertebrae recognition from arbitrary spine MRI images by a category-Consistent self-calibration detection framework. Medical Image Anal. 67: 101826 (2021) - [j116]Zhan Wu, Rongjun Ge, Minli Wen, Gaoshuang Liu, Yang Chen, Pinzheng Zhang, Xiaopu He, Jie Hua, Limin Luo, Shuo Li:
ELNet: Automatic classification and segmentation for esophageal lesions using convolutional neural network. Medical Image Anal. 67: 101838 (2021) - [j115]Dong Zhang, Bo Chen, Shuo Li:
Sequential conditional reinforcement learning for simultaneous vertebral body detection and segmentation with modeling the spine anatomy. Medical Image Anal. 67: 101861 (2021) - [j114]Zhongyi Han, Benzheng Wei, Xiaoming Xi, Bo Chen, Yilong Yin, Shuo Li:
Unifying neural learning and symbolic reasoning for spinal medical report generation. Medical Image Anal. 67: 101872 (2021) - [j113]Chenchu Xu, Dong Zhang, Jaron Chong, Bo Chen, Shuo Li:
Synthesis of gadolinium-enhanced liver tumors on nonenhanced liver MR images using pixel-level graph reinforcement learning. Medical Image Anal. 69: 101976 (2021) - [j112]Chengqian Zhao, Dengwang Li, Cheng Feng, Shuo Li:
OF-UMRN: Uncertainty-guided multitask regression network aided by optical flow for fully automated comprehensive analysis of carotid artery. Medical Image Anal. 70: 101982 (2021) - [j111]Tianling Lyu, Wei Zhao, Yinsu Zhu, Zhan Wu, Yikun Zhang, Yang Chen, Limin Luo, Shuo Li, Lei Xing:
Estimating dual-energy CT imaging from single-energy CT data with material decomposition convolutional neural network. Medical Image Anal. 70: 102001 (2021) - [j110]Dong Zhang, Bo Chen, Jaron Chong, Shuo Li:
Weakly-Supervised teacher-Student network for liver tumor segmentation from non-enhanced images. Medical Image Anal. 70: 102005 (2021) - [j109]Sheng Lian, Zhiming Luo, Cheng Feng, Shaozi Li, Shuo Li:
APRIL: Anatomical prior-guided reinforcement learning for accurate carotid lumen diameter and intima-media thickness measurement. Medical Image Anal. 71: 102040 (2021) - [j108]Yuting He, Guanyu Yang, Jian Yang, Rongjun Ge, Youyong Kong, Xiaomei Zhu, Shaobo Zhang, Pengfei Shao, Huazhong Shu, Jean-Louis Dillenseger, Jean-Louis Coatrieux, Shuo Li:
Meta grayscale adaptive network for 3D integrated renal structures segmentation. Medical Image Anal. 71: 102055 (2021) - [j107]Liansheng Wang, Cong Xie, Yi Lin, Hong-Yu Zhou, Kailin Chen, Dalong Cheng, Florian Dubost, Benjamin Collery, Bidur Khanal, Bishesh Khanal, Rong Tao, Shangliang Xu, Upasana Upadhyay Bharadwaj, Zhusi Zhong, Jie Li, Shuxin Wang, Shuo Li:
Evaluation and comparison of accurate automated spinal curvature estimation algorithms with spinal anterior-posterior X-Ray images: The AASCE2019 challenge. Medical Image Anal. 72: 102115 (2021) - [j106]Jianfeng Zhao, Dengwang Li, Xiaojiao Xiao, Fabio Accorsi, Harry Marshall, Tyler Cossetto, Dongkeun Kim, Daniel McCarthy, Cameron Dawson, Stefan Knezevic, Bo Chen, Shuo Li:
United adversarial learning for liver tumor segmentation and detection of multi-modality non-contrast MRI. Medical Image Anal. 73: 102154 (2021) - [j105]Zhiyuan Zhu, Zonglei Zhen, Xia Wu, Shuo Li:
Estimating Functional Connectivity by Integration of Inherent Brain Function Activity Pattern Priors. IEEE ACM Trans. Comput. Biol. Bioinform. 18(6): 2420-2430 (2021) - [j104]Nianyi Wang, Weilan Wang, Wenjin Hu, Aaron Fenster, Shuo Li:
Thanka Mural Inpainting Based on Multi-Scale Adaptive Partial Convolution and Stroke-Like Mask. IEEE Trans. Image Process. 30: 3720-3733 (2021) - [j103]Liyan Lin, Xi Tao, Wei Yang, Shumao Pang, Zhihai Su, Hai Lu, Shuo Li, Qianjin Feng, Bo Chen:
Quantifying Axial Spine Images Using Object-Specific Bi-Path Network. IEEE J. Biomed. Health Informatics 25(8): 2978-2987 (2021) - [j102]Wufeng Xue, Jiahui Li, Zhiqiang Hu, Eric Kerfoot, James R. Clough, Ilkay Öksüz, Hao Xu, Vicente Grau, Fumin Guo, Matthew Ng, Xiang Li, Quanzheng Li, Lihong Liu, Jin Ma, Elias Grinias, Georgios Tziritas, Wenjun Yan, Angélica Atehortúa, Mireille Garreau, Yeonggul Jang, Alejandro Debus, Enzo Ferrante, Guanyu Yang, Tiancong Hua, Shuo Li:
Left Ventricle Quantification Challenge: A Comprehensive Comparison and Evaluation of Segmentation and Regression for Mid-Ventricular Short-Axis Cardiac MR Data. IEEE J. Biomed. Health Informatics 25(9): 3541-3553 (2021) - [j101]Chengjin Yu, Zhifan Gao, Weiwei Zhang, Guang Yang, Shu Zhao, Heye Zhang, Yanping Zhang, Shuo Li:
Multitask Learning for Estimating Multitype Cardiac Indices in MRI and CT Based on Adversarial Reverse Mapping. IEEE Trans. Neural Networks Learn. Syst. 32(2): 493-506 (2021) - [c93]Yuting He, Rongjun Ge, Jiasong Wu, Jean-Louis Coatrieux, Huazhong Shu, Yang Chen, Guanyu Yang, Shuo Li:
Thin Semantics Enhancement via High-Frequency Priori Rule for Thin Structures Segmentation. ICDM 2021: 1096-1101 - [c92]Yuting He, Rongjun Ge, Xiaoming Qi, Guanyu Yang, Yang Chen, Youyong Kong, Huazhong Shu, Jean-Louis Coatrieux, Shuo Li:
EnMcGAN: Adversarial Ensemble Learning for 3D Complete Renal Structures Segmentation. IPMI 2021: 465-477 - [c91]Jianfeng Zhao, Xiaojiao Xiao, Dengwang Li, Jaron Chong, Zahra Kassam, Bo Chen, Shuo Li:
mfTrans-Net: Quantitative Measurement of Hepatocellular Carcinoma via Multi-Function Transformer Regression Network. MICCAI (5) 2021: 75-84 - [c90]Lei Li, Sheng Lian, Zhiming Luo, Shaozi Li, Beizhan Wang, Shuo Li:
Learning Consistency- and Discrepancy-Context for 2D Organ Segmentation. MICCAI (1) 2021: 261-270 - [c89]Song Wang, Yuting He, Youyong Kong, Xiaomei Zhu, Shaobo Zhang, Pengfei Shao, Jean-Louis Dillenseger, Jean-Louis Coatrieux, Shuo Li, Guanyu Yang:
CPNet: Cycle Prototype Network for Weakly-Supervised 3D Renal Compartments Segmentation on CT Images. MICCAI (2) 2021: 592-602 - [i17]Yuting He, Rongjun Ge, Xiaoming Qi, Guanyu Yang, Yang Chen, Youyong Kong, Huazhong Shu, Jean-Louis Coatrieux, Shuo Li:
EnMcGAN: Adversarial Ensemble Learning for 3D Complete Renal Structures Segmentation. CoRR abs/2106.04130 (2021) - [i16]Song Wang, Yuting He, Youyong Kong,