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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://dblp.org/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
- 2025
[j184]Xiuquan Du, Xuebin Xu, Jiajia Chen, Xuejun Zhang, Lei Li, Heng Liu, Shuo Li:
UM-Net: Rethinking ICGNet for polyp segmentation with uncertainty modeling. Medical Image Anal. 99: 103347 (2025)- 2024
- [j183]Xiaoxiao Cui, Boyu Wang, Shanzhi Jiang, Zhi Liu, Hongji Xu, Lizhen Cui, Shuo Li:
Unified bi-encoder bispace-discriminator disentanglement for cross-domain echocardiography segmentation. Knowl. Based Syst. 303: 112394 (2024) - [j182]Zhanshi Zhu, Xinghua Ma, Wei Wang, Suyu Dong, Kuanquan Wang, Lianming Wu, Gongning Luo, Guohua Wang, Shuo Li:
Boosting knowledge diversity, accuracy, and stability via tri-enhanced distillation for domain continual medical image segmentation. Medical Image Anal. 94: 103112 (2024) - [j181]Rongchang Zhao, Zijun Xi, Huanchi Liu, Xiangkun Jian, Jian Zhang, Zijian Zhang, Shuo Li:
MIST: Multi-instance selective transformer for histopathological subtype prediction. Medical Image Anal. 97: 103251 (2024) - [j180]Mingyu Wang, Chao Chen, Ziyue Xu, Lang Xu, Weiwei Zhan, Jing Xiao, Yiqing Hou, Bingsheng Huang, Lingyun Huang, Shuo Li:
An interpretable two-branch bi-coordinate network based on multi-grained domain knowledge for classification of thyroid nodules in ultrasound images. Medical Image Anal. 97: 103255 (2024) - [j179]Boyun Zheng, Ranran Zhang, Songhui Diao, Jingke Zhu, Yixuan Yuan, Jing Cai, Liang Shao, Shuo Li, Wenjian Qin:
Dual domain distribution disruption with semantics preservation: Unsupervised domain adaptation for medical image segmentation. Medical Image Anal. 97: 103275 (2024) - [j178]Abduweli Mijit, Shuo Li, Qiang Wang, Mingzhou Li, Yanlong Tai:
Silver Nanowire-Based Flexible Strain Sensor for Human Motion Detection. Sensors 24(11): 3329 (2024) - [j177]Xu Ji, Yuchen Lu, Yikun Zhang, Xu Zhuo, Shengqi Kan, Weilong Mao, Gouenou Coatrieux, Jean-Louis Coatrieux, Guotao Quan, Yan Xi, Shuo Li, Tianling Lyu, Yang Chen:
SeNAS-Net: Self-Supervised Noise and Artifact Suppression Network for Material Decomposition in Spectral CT. IEEE Trans. Computational Imaging 10: 677-689 (2024) - [j176]Yankun Cao, Wenzhen Zhang, Yuezhong Zhang, Guanjie Sun, Wei Guo, Mingjie Shao, Subhas Chandra Mukhopadhyay, Lizhen Cui, Yujun Li, Zhi Liu, Shuo Li:
CMAR: A Pipeline for Cross-Modal Alignment and 3-D Reconstruction of Coronary Arteries Based on Key Bifurcation Vessel Measurements. IEEE Trans. Instrum. Meas. 73: 1-14 (2024) - [j175]Xiaoming Qi, Yuting He, Yaolei Qi, Youyong Kong, Guanyu Yang, Shuo Li:
STANet: Spatio-Temporal Adaptive Network and Clinical Prior Embedding Learning for 3D+T CMR Segmentation. IEEE J. Biomed. Health Informatics 28(2): 881-892 (2024) - [j174]Shun Xiang, Nana Li, Yuanquan Wang, Shoujun Zhou, Jin Wei, Shuo Li:
Automatic Delineation of the 3D Left Atrium From LGE-MRI: Actor-Critic Based Detection and Semi-Supervised Segmentation. IEEE J. Biomed. Health Informatics 28(6): 3545-3556 (2024) - [j173]Yuting He, Rongjun Ge, Xiaoming Qi, Yang Chen, Jiasong Wu, Jean-Louis Coatrieux, Guanyu Yang, Shuo Li:
Learning Better Registration to Learn Better Few-Shot Medical Image Segmentation: Authenticity, Diversity, and Robustness. IEEE Trans. Neural Networks Learn. Syst. 35(2): 2588-2601 (2024) - [c133]Xiaoming Qi, Yuan Zhang, Tong Wang, Guanyu Yang, Yueming Jin, Shuo Li:
Energy-Induced Explicit Quantification for Multi-modality MRI Fusion. ECCV (7) 2024: 439-455 - [c132]Qikui Zhu, Chuan Fu, Shuo Li:
Class-consistent Contrastive Learning Driven Cross-dimensional Transformer for 3D Medical Image Classification. IJCAI 2024: 1807-1815 - [c131]Yiran Li, Xiaoxiao Cui, Yankun Cao, Yuezhong Zhang, Huihui Wang, Lizhen Cui, Zhi Liu, Shuo Li:
CausCLIP: Causality-Adapting Visual Scoring of Visual Language Models for Few-Shot Learning in Portable Echocardiography Quality Assessment. MICCAI (1) 2024: 211-220 - [c130]Xinghua Ma, Mingye Zou, Xinyan Fang, Yang Liu, Gongning Luo, Wei Wang, Kuanquan Wang, Zhaowen Qiu, Xin Gao, Shuo Li:
Spatio-Temporal Contrast Network for Data-Efficient Learning of Coronary Artery Disease in Coronary CT Angiography. MICCAI (11) 2024: 645-655 - [c129]Xiaoxiao Cui, Shanzhi Jiang, Baolin Sun, Yiran Li, Yankun Cao, Zhen Li, Chaoyang Lv, Zhi Liu, Lizhen Cui, Shuo Li:
Multilevel Causality Learning for Multi-label Gastric Atrophy Diagnosis. MICCAI (3) 2024: 682-692 - [i38]Zhenyu Wu, Fengmao Lv, Chenglizhao Chen, Aimin Hao, Shuo Li:
Colorectal Polyp Segmentation in the Deep Learning Era: A Comprehensive Survey. CoRR abs/2401.11734 (2024) - [i37]Chengqian Zhao, Zhao Yao, Zhaoyu Hu, Yuanxin Xie, Yafang Zhang, Yuanyuan Wang, Shuo Li, Jianhua Zhou, Jianqiao Zhou, Yin Wang, Jinhua Yu:
TASL-Net: Tri-Attention Selective Learning Network for Intelligent Diagnosis of Bimodal Ultrasound Video. CoRR abs/2409.01557 (2024) - [i36]Kaini Wang, Ling Yang, Siping Zhou, Guangquan Zhou, Wen-Bo Zhang, Bin Cui, Shuo Li:
Universal Medical Image Representation Learning with Compositional Decoders. CoRR abs/2409.19890 (2024) - [i35]Kaini Wang, Haolin Wang, Guang-Quan Zhou, Yangang Wang, Ling Yang, Yang Chen, Shuo Li:
TSdetector: Temporal-Spatial Self-correction Collaborative Learning for Colonoscopy Video Detection. CoRR abs/2409.19983 (2024) - [i34]Yuxin Liu, Rongjun Ge, Yuting He, Zhan Wu, Chenyu You, Shuo Li, Yang Chen:
Imaging foundation model for universal enhancement of non-ideal measurement CT. CoRR abs/2410.01591 (2024) - 2023
- [j172]Gui-Bin Bian, Wen-Qian Yue, Zhen Li, Li Zhang, Shuai Zhang, Wei-Peng Liu, Shuo Li, Elias P. Medeiros, Wanqing Wu, Victor Hugo C. de Albuquerque:
Variation-learning high-resolution network for capsulorhexis recognition of cataract surgery. Appl. Soft Comput. 147: 110841 (2023) - [j171]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) - [j170]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) - [j169]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) - [j168]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) - [j167]Chenji Zhao, Shun Xiang, Yuanquan Wang, Zhaoxi Cai, Jun Shen, Shoujun Zhou, Di Zhao, Weihua Su, Shijie Guo, Shuo Li:
Context-aware network fusing transformer and V-Net for semi-supervised segmentation of 3D left atrium. Expert Syst. Appl. 214: 119105 (2023) - [j166]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) - [j165]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) - [j164]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) - [j163]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) - [j162]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) - [j161]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) - [j160]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) - [j159]Xiangmin Han, Bangming Gong, Lehang Guo, Jun Wang, Shihui Ying, Shuo Li, Jun Shi:
B-mode ultrasound based CAD for liver cancers via multi-view privileged information learning. Neural Networks 164: 369-381 (2023) - [j158]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) - [j157]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) - [j156]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) - [j155]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) - [j154]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) - [j153]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) - [j152]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) - [j151]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) - [j150]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) - [j149]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) - [c128]Zhenyu Wu, Lin Wang, Wei Wang, Qing Xia, Chenglizhao Chen, Aimin Hao, Shuo Li:
Pixel Is All You Need: Adversarial Trajectory-Ensemble Active Learning for Salient Object Detection. AAAI 2023: 2883-2891 - [c127]Pengzhong Sun, Wei Wang, Xiangyu Li, Suyu Dong, Shuo Li, Kuanquan Wang, Gongning Luo:
Synergistically Learning Class-specific Tokens for Multi-class Whole Slide Image Classification. BIBM 2023: 3558-3565 - [c126]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 - [c125]Bin Huang, Ziyue Xu, Shing-Chow Chan, Zhong Liu, Huiying Wen, Chao Hou, Qicai Huang, Meiqin Jiang, Changfeng Dong, Jie Zeng, Ruhai Zou, Bingsheng Huang, Xin Chen, Shuo Li:
A Style Transfer-Based Augmentation Framework for Improving Segmentation and Classification Performance Across Different Sources in Ultrasound Images. MICCAI (6) 2023: 44-53 - [c124]Qikui Zhu, Lei Yin, Qian Tang, Yanqing Wang, Yanxiang Cheng, Shuo Li:
DCAug: Domain-Aware and Content-Consistent Cross-Cycle Framework for Tumor Augmentation. MICCAI (5) 2023: 338-347 - [c123]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 - [c122]Jianfeng Zhao, Shuo Li:
Learning Reliability of Multi-modality Medical Images for Tumor Segmentation via Evidence-Identified Denoising Diffusion Probabilistic Models. MICCAI (4) 2023: 682-691 - [c121]Zhen Li, Wen-Qian Yue, Gui-Bin Bian, Shuai Zhang, Wei-Peng Liu, Shuo Li:
A Dynamic-Static Weighted Network with Diverse-Token Fusion Attention for Rhexis Margin Recognition in Microscopic Surgery. ROBIO 2023: 1-6 - [i33]Xiangyu Li, Gongning Luo, Kuanquan Wang, Hongyu Wang, Jun Liu, Xinjie Liang, Jie Jiang, Zhenghao Song, Chunyue Zheng, Haokai Chi, Mingwang Xu, Yingte He, Xinghua Ma, Jingwen Guo, Yifan Liu, Chuanpu Li, Zeli Chen, Md Mahfuzur Rahman Siddiquee, Andriy Myronenko, Antoine P. Sanner, Anirban Mukhopadhyay, Ahmed E. Othman, Xingyu Zhao, Weiping Liu, Jinhuang Zhang, Xiangyuan Ma, Qinghui Liu, Bradley J. MacIntosh, Wei Liang, Moona Mazher, Abdul Qayyum, Valeriia Abramova, Xavier Lladó, Shuo Li:
The state-of-the-art 3D anisotropic intracranial hemorrhage segmentation on non-contrast head CT: The INSTANCE challenge. CoRR abs/2301.03281 (2023) - [i32]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) - [i31]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) - [i30]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
- [j148]Hao Gong, Jianhua Liu, Bo Chen, Shuo Li:
ResAttenGAN: Simultaneous segmentation of multiple spinal structures on axial lumbar MRI image using residual attention and adversarial learning. Artif. Intell. Medicine 124: 102243 (2022) - [j147]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) - [j146]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) - [j145]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) - [j144]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) - [j143]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) - [j142]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) - [j141]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) - [j140]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) - [j139]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) - [j138]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) - [j137]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) - [j136]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) - [j135]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) - [j134]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) - [j133]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) - [j132]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) - [j131]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) - [c120]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 - [c119]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 - [c118]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 - [c117]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 - [c116]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 - [c115]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 - [c114]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 - [c113]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 - [c112]Qikui Zhu, Yanqing Wang, Lei Yin, Jiancheng Yang, Fei Liao, Shuo Li:
SelfMix: A Self-adaptive Data Augmentation Method for Lesion Segmentation. MICCAI (4) 2022: 683-692 - [c111]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 - [c110]Zhenyu Wu, Lin Wang, Wei Wang, Tengfei Shi, Chenglizhao Chen, Aimin Hao, Shuo Li:
Synthetic Data Supervised Salient Object Detection. ACM Multimedia 2022: 5557-5565 - [e16]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] - [e15]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] - [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 III. Lecture Notes in Computer Science 13433, Springer 2022, ISBN 978-3-031-16436-1 [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 IV. Lecture Notes in Computer Science 13434, Springer 2022, ISBN 978-3-031-16439-2 [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 V. Lecture Notes in Computer Science 13435, Springer 2022, ISBN 978-3-031-16442-2 [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 VI. Lecture Notes in Computer Science 13436, Springer 2022, ISBN 978-3-031-16445-3 [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 VII. Lecture Notes in Computer Science 13437, Springer 2022, ISBN 978-3-031-16448-4 [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 VIII. Lecture Notes in Computer Science 13438, Springer 2022, ISBN 978-3-031-16451-4 [contents] - [i29]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) - [i28]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) - [i27]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) - [i26]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) - [i25]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) - [i24]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) - [i23]Zhenyu Wu, Lin Wang, Wei Wang, Tengfei Shi, Chenglizhao Chen, Aimin Hao, Shuo Li:
Synthetic Data Supervised Salient Object Detection. CoRR abs/2210.13835 (2022) - [i22]