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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.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
- 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]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) - [i21]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. CoRR abs/2212.06493 (2022) - 2021
- [j130]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) - [j129]Hongyang Zhang, Wenxue Zhang, Weihao Shen, Nana Li, Yunjie Chen, Shuo Li, Bo Chen, Shijie Guo, Yuanquan Wang:
Automatic segmentation of the cardiac MR images based on nested fully convolutional dense network with dilated convolution. Biomed. Signal Process. Control. 68: 102684 (2021) - [j128]Guang Yang, Heye Zhang, David N. Firmin, Shuo Li:
Recent advances in artificial intelligence for cardiac imaging. Comput. Medical Imaging Graph. 90: 101928 (2021) - [j127]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) - [j126]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) - [j125]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) - [j124]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) - [j123]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) - [j122]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) - [j121]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) - [j120]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) - [j119]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) - [j118]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) - [j117]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) - [j116]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) - [j115]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) - [j114]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) - [j113]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) - [j112]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) - [j111]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) - [j110]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) - [j109]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) - [j108]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) - [j107]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) - [c109]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 - [c108]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 - [c107]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 - [c106]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 - [c105]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 - [i20]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) - [i19]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. CoRR abs/2108.06669 (2021) - 2020
- [j106]Tianyang Li, Benzheng Wei, Jinyu Cong, Xuzhou Li, Shuo Li:
S3egANet: 3D Spinal Structures Segmentation via Adversarial Nets. IEEE Access 8: 1892-1901 (2020) - [j105]Guanyu Yang, Tianling Lv, Yunpeng Shen, Shuo Li, Jian Yang, Yang Chen, Huazhong Shu, Limin Luo, Jean-Louis Coatrieux:
Vessel Structure Extraction using Constrained Minimal Path Propagation. Artif. Intell. Medicine 105: 101846 (2020) - [j104]Zhan Wu, Gonglei Shi, Yang Chen, Fei Shi, Xinjian Chen, Gouenou Coatrieux, Jian Yang, Limin Luo, Shuo Li:
Coarse-to-fine classification for diabetic retinopathy grading using convolutional neural network. Artif. Intell. Medicine 108: 101936 (2020) - [j103]Xiuquan Du, Susu Yin, Renjun Tang, Yueguo Liu, Yuhui Song, Yanping Zhang, Heng Liu, Shuo Li:
Segmentation and visualization of left atrium through a unified deep learning framework. Int. J. Comput. Assist. Radiol. Surg. 15(4): 589-600 (2020) - [j102]Tianyang Li, Benzheng Wei, Jinyu Cong, Yanfei Hong, Shuo Li:
Direct estimation of left ventricular ejection fraction via a cardiac cycle feature learning architecture. Comput. Biol. Medicine 118: 103659 (2020) - [j101]Zhongyi Han, Hongbo Wu, Benzheng Wei, Yilong Yin, Shuo Li:
Recursive narrative alignment for movie narrating. Sci. China Inf. Sci. 63(7) (2020) - [j100]João Manuel R. S. Tavares, Shuo Li:
Special issue: third MICCAI workshop on bio-imaging and visualization for patient-customized simulations. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 8(5): 459 (2020) - [j99]Zhi Liu, Yihao Zhang, Weiwei Li, Shuo Li, Zhiling Zou, Bo Chen:
Multislice left ventricular ejection fraction prediction from cardiac MRIs without segmentation using shared SptDenNet. Comput. Medical Imaging Graph. 86: 101795 (2020) - [j98]Guang Yang, Jun Chen, Zhifan Gao, Shuo Li, Hao Ni, Elsa D. Angelini, Tom Wong, Raad Mohiaddin, Eva Nyktari, Ricardo Wage, Lei Xu, Yanping Zhang, Xiuquan Du, Heye Zhang, David N. Firmin, Jennifer Keegan:
Simultaneous left atrium anatomy and scar segmentations via deep learning in multiview information with attention. Future Gener. Comput. Syst. 107: 215-228 (2020) - [j97]Longwei Fang, Zuowei Wang, Zhiqiang Chen, Fengzeng Jian, Shuo Li, Huiguang He:
3D shape reconstruction of lumbar vertebra from two X-ray images and a CT model. IEEE CAA J. Autom. Sinica 7(4): 1124-1133 (2020) - [j96]Yanfei Hong, Benzheng Wei, Zhongyi Han, Xiang Li, Yuanjie Zheng, Shuo Li:
MMCL-Net: Spinal disease diagnosis in global mode using progressive multi-task joint learning. Neurocomputing 399: 307-316 (2020) - [j95]Beiji Zou, Zhiyou He, Rongchang Zhao, Chengzhang Zhu, Wangmin Liao, Shuo Li:
Non-rigid retinal image registration using an unsupervised structure-driven regression network. Neurocomputing 404: 14-25 (2020) - [j94]Zhifan Gao, Chenchu Xu, Heye Zhang, Shuo Li, Victor Hugo C. de Albuquerque:
Trustful Internet of Surveillance Things Based on Deeply Represented Visual Co-Saliency Detection. IEEE Internet Things J. 7(5): 4092-4100 (2020) - [j93]Gongning Luo, Suyu Dong, Wei Wang, Kuanquan Wang, Shaodong Cao, Clara M. Tam, Henggui Zhang, Joanne Howey, Pavlo Ohorodnyk, Shuo Li:
Commensal correlation network between segmentation and direct area estimation for bi-ventricle quantification. Medical Image Anal. 59 (2020) - [j92]Chenchu Xu, Joanne Howey, Pavlo Ohorodnyk, Mike Roth, Heye Zhang, Shuo Li:
Segmentation and quantification of infarction without contrast agents via spatiotemporal generative adversarial learning. Medical Image Anal. 59 (2020) - [j91]Rongchang Zhao, Shuo Li:
Multi-indices quantification of optic nerve head in fundus image via multitask collaborative learning. Medical Image Anal. 60 (2020) - [j90]Suyu Dong, Gongning Luo, Clara M. Tam, Wei Wang, Kuanquan Wang, Shaodong Cao, Bo Chen, Henggui Zhang, Shuo Li:
Deep Atlas Network for Efficient 3D Left Ventricle Segmentation on Echocardiography. Medical Image Anal. 61: 101638 (2020) - [j89]Hejun Wu, Rong Gao, Yeong Poh Sheng, Bo Chen, Shuo Li:
SDAE-GAN: Enable high-dimensional pathological images in liver cancer survival prediction with a policy gradient based data augmentation method. Medical Image Anal. 62: 101640 (2020) - [j88]Chenchu Xu, Lei Xu, Pavlo Ohorodnyk, Mike Roth, Bo Chen, Shuo Li:
Contrast agent-free synthesis and segmentation of ischemic heart disease images using progressive sequential causal GANs. Medical Image Anal. 62: 101668 (2020) - [j87]Xiuquan Du, Yuhui Song, Yueguo Liu, Yanping Zhang, Heng Liu, Bo Chen, Shuo Li:
An integrated deep learning framework for joint segmentation of blood pool and myocardium. Medical Image Anal. 62: 101685 (2020) - [j86]Jianfeng Zhao, Dengwang Li, Zahra Kassam, Joanne Howey, Jaron Chong, Bo Chen, Shuo Li:
Tripartite-GAN: Synthesizing liver contrast-enhanced MRI to improve tumor detection. Medical Image Anal. 63: 101667 (2020) - [j85]Yuting He, Guanyu Yang, Jian Yang, Yang Chen, Youyong Kong, Jiasong Wu, Lijun Tang, Xiaomei Zhu, Jean-Louis Dillenseger, Pengfei Shao, Shaobo Zhang, Huazhong Shu, Jean-Louis Coatrieux, Shuo Li:
Dense biased networks with deep priori anatomy and hard region adaptation: Semi-supervised learning for fine renal artery segmentation. Medical Image Anal. 63: 101722 (2020) - [j84]Yanan Ruan, Dengwang Li, Harry Marshall, Timothy Miao, Tyler Cossetto, Ian Chan, Omar Daher, Fabio Accorsi, Aashish Goela, Shuo Li:
MB-FSGAN: Joint segmentation and quantification of kidney tumor on CT by the multi-branch feature sharing generative adversarial network. Medical Image Anal. 64: 101721 (2020) - [j83]Gongning Luo, Wei Wang, Clara M. Tam, Kuanquan Wang, Shaodong Cao, Henggui Zhang, Bo Chen, Shuo Li:
Dynamically constructed network with error correction for accurate ventricle volume estimation. Medical Image Anal. 64: 101723 (2020) - [j82]Clara M. Tam, Dong Zhang, Bo Chen, Terry M. Peters, Shuo Li:
Holistic multitask regression network for multiapplication shape regression segmentation. Medical Image Anal. 65: 101783 (2020) - [j81]Zhifan Gao, Heye Zhang, Shizhou Dong, Shanhui Sun, Xin Wang, Guang Yang, Wanqing Wu, Shuo Li, Victor Hugo C. de Albuquerque:
Salient Object Detection in the Distributed Cloud-Edge Intelligent Network. IEEE Netw. 34(2): 216-224 (2020) - [j80]Cong Wang, Qifeng Zhang, Qiyan Tian, Shuo Li, Xiaohui Wang, David Lane, Yvan R. Petillot, Sen Wang:
Learning Mobile Manipulation through Deep Reinforcement Learning. Sensors 20(3): 939 (2020) - [j79]Rongchang Zhao, Xuanlin Chen, Xiyao Liu, Zailiang Chen, Fan Guo, Shuo Li:
Direct Cup-to-Disc Ratio Estimation for Glaucoma Screening via Semi-Supervised Learning. IEEE J. Biomed. Health Informatics 24(4): 1104-1113 (2020) - [j78]Ranran Zhang, Xiaoyan Xiao, Zhi Liu, Yujun Li, Shuo Li:
MRLN: Multi-Task Relational Learning Network for MRI Vertebral Localization, Identification, and Segmentation. IEEE J. Biomed. Health Informatics 24(10): 2902-2911 (2020) - [j77]Liyan Lin, Xi Tao, Shumao Pang, Zhihai Su, Hai Lu, Shuo Li, Qianjin Feng, Bo Chen:
Multiple Axial Spine Indices Estimation via Dense Enhancing Network With Cross-Space Distance-Preserving Regularization. IEEE J. Biomed. Health Informatics 24(11): 3248-3257 (2020) - [j76]Zhifan Gao, Jonathan Chung, Mohamed Abdelrazek, Stephanie Leung, William Kongto Hau, Zhanchao Xian, Heye Zhang, Shuo Li:
Privileged Modality Distillation for Vessel Border Detection in Intracoronary Imaging. IEEE Trans. Medical Imaging 39(5): 1524-1534 (2020) - [j75]Rongjun Ge, Guanyu Yang, Yang Chen, Limin Luo, Cheng Feng, Hong Ma, Junyi Ren, Shuo Li:
K-Net: Integrate Left Ventricle Segmentation and Direct Quantification of Paired Echo Sequence. IEEE Trans. Medical Imaging 39(5): 1690-1702 (2020) - [j74]Mingchao Li, Yerui Chen, Zexuan Ji, Keren Xie, Songtao Yuan, Qiang Chen, Shuo Li:
Image Projection Network: 3D to 2D Image Segmentation in OCTA Images. IEEE Trans. Medical Imaging 39(11): 3343-3354 (2020) - [j73]Dong Zhang, Guang Yang, Shu Zhao, Yanping Zhang, Dhanjoo N. Ghista, Heye Zhang, Shuo Li:
Direct Quantification of Coronary Artery Stenosis Through Hierarchical Attentive Multi-View Learning. IEEE Trans. Medical Imaging 39(12): 4322-4334 (2020) - [c104]Chengqian Zhao, Cheng Feng, Dengwang Li, Shuo Li:
OF-MSRN: Optical Flow-Auxiliary Multi-Task Regression Network for Direct Quantitative Measurement, Segmentation and Motion Estimation. AAAI 2020: 1218-1225 - [c103]Rongchang Zhao, Xuanlin Chen, Zailiang Chen, Shuo Li:
EGDCL: An Adaptive Curriculum Learning Framework for Unbiased Glaucoma Diagnosis. ECCV (21) 2020: 190-205 - [c102]Yuting He, Tiantian Li, Guanyu Yang, Youyong Kong, Yang Chen, Huazhong Shu, Jean-Louis Coatrieux, Jean-Louis Dillenseger, Shuo Li:
Deep Complementary Joint Model for Complex Scene Registration and Few-Shot Segmentation on Medical Images. ECCV (18) 2020: 770-786 - [c101]Bangming Gong, Lu Shen, Cai Chang, Shichong Zhou, Weijun Zhou, Shuo Li, Jun Shi:
BI-Modal Ultrasound Breast Cancer Diagnosis Via Multi-View Deep Neural Network SVM. ISBI 2020: 1106-1110 - [c100]Yanan Ruan, Dengwang Li, Harry Marshall, Timothy Miao, Tyler Cossetto, Ian Chan, Omar Daher, Fabio Accorsi, Aashish Goela, Shuo Li:
Mt-UcGAN: Multi-task Uncertainty-Constrained GAN for Joint Segmentation, Quantification and Uncertainty Estimation of Renal Tumors on CT. MICCAI (4) 2020: 439-449 - [c99]Hongrong Wei, Heng Cao, Yiqin Cao, Yongjin Zhou, Wufeng Xue, Dong Ni, Shuo Li:
Temporal-Consistent Segmentation of Echocardiography with Co-learning from Appearance and Shape. MICCAI (2) 2020: 623-632 - [c98]Jiawei Huang, Haotian Shen, Bo Chen, Yue Wang, Shuo Li:
Segmentation of Paraspinal Muscles at Varied Lumbar Spinal Levels by Explicit Saliency-Aware Learning. MICCAI (6) 2020: 652-661 - [c97]Shen Zhao, Bin Chen, Heyou Chang, Xi Wu, Shuo Li:
Discriminative Dictionary-Embedded Network for Comprehensive Vertebrae Tumor Diagnosis. MICCAI (6) 2020: 691-701 - [c96]Heyou Chang, Shen Zhao, Hao Zheng, Yang Chen, Shuo Li:
Multi-vertebrae Segmentation from Arbitrary Spine MR Images Under Global View. MICCAI (6) 2020: 702-711 - [c95]Nianyi Wang, Weilan Wang, Wenjin Hu, Aaron Fenster, Shuo Li:
Damage Sensitive and Original Restoration Driven Thanka Mural Inpainting. PRCV (1) 2020: 142-154 - [e8]Yunliang Cai, Liansheng Wang, Michel A. Audette, Guoyan Zheng, Shuo Li:
Computational Methods and Clinical Applications for Spine Imaging - 6th International Workshop and Challenge, CSI@MICCAI 2019, Shenzhen, China, October 17, 2019, Proceedings. Lecture Notes in Computer Science 11963, Springer 2020, ISBN 978-3-030-39751-7 [contents] - [e7]Mihaela Pop, Maxime Sermesant, Oscar Camara, Xiahai Zhuang, Shuo Li, Alistair A. Young, Tommaso Mansi, Avan Suinesiaputra:
Statistical Atlases and Computational Models of the Heart. Multi-Sequence CMR Segmentation, CRT-EPiggy and LV Full Quantification Challenges - 10th International Workshop, STACOM 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Revised Selected Papers. Lecture Notes in Computer Science 12009, Springer 2020, ISBN 978-3-030-39073-0 [contents] - [i18]Guang Yang, Jun Chen, Zhifan Gao, Shuo Li, Hao Ni, Elsa D. Angelini, Tom Wong, Raad Mohiaddin, Eva Nyktari, Ricardo Wage, Lei Xu, Yanping Zhang, Xiuquan Du, Heye Zhang, David N. Firmin, Jennifer Keegan:
Simultaneous Left Atrium Anatomy and Scar Segmentations via Deep Learning in Multiview Information with Attention. CoRR abs/2002.00440 (2020) - [i17]Zhongyi Han, Benzheng Wei, Yilong Yin, Shuo Li:
Unifying Neural Learning and Symbolic Reasoning for Spinal Medical Report Generation. CoRR abs/2004.13577 (2020) - [i16]Cong Wang, Qifeng Zhang, Qiyan Tian, Shuo Li, Xiaohui Wang, David Lane, Yvan R. Petillot, Ziyang Hong, Sen Wang:
Multi-Task Reinforcement Learning based Mobile Manipulation Control for Dynamic Object Tracking and Grasping. CoRR abs/2006.04271 (2020) - [i15]Yuting He, Tiantian Li, Guanyu Yang, Youyong Kong, Yang Chen, Huazhong Shu, Jean-Louis Coatrieux, Jean-Louis Dillenseger, Shuo Li:
Deep Complementary Joint Model for Complex Scene Registration and Few-shot Segmentation on Medical Images. CoRR abs/2008.00710 (2020) - [i14]Haoliang Sun, Xiantong Zhen, Chris Bailey, Parham Rasoulinejad, Yilong Yin, Shuo Li:
Direct Estimation of Spinal Cobb Angles by Structured Multi-Output Regression. CoRR abs/2012.12626 (2020)
2010 – 2019
- 2019
- [j72]Jinyu Cong, Yuanjie Zheng, Wufeng Xue, Bofeng Cao, Shuo Li:
MA-Shape: Modality Adaptation Shape Regression for Left Ventricle Segmentation on Mixed MR and CT Images. IEEE Access 7: 16584-16593 (2019) - [j71]Wenji Wang, Yuanquan Wang, Yuwei Wu, Tao Lin, Shuo Li, Bo Chen:
Quantification of Full Left Ventricular Metrics via Deep Regression Learning With Contour-Guidance. IEEE Access 7: 47918-47928 (2019) - [j70]Bo Chen, Qiuhao Xu, Liansheng Wang, Stephanie Leung, Jonathan Chung, Shuo Li:
An Automated and Accurate Spine Curve Analysis System. IEEE Access 7: 124596-124605 (2019) - [j69]Chenchu Xu, Lin Xu, Heye Zhang, Yanping Zhang, Xiuquan Du, Shuo Li:
A novel machine-learning algorithm to estimate the position and size of myocardial infarction for MRI sequence. Computing 101(6): 653-665 (2019) - [j68]Weiwei Zhang, Jinglin Zhang, Xiuquan Du, Yanping Zhang, Shuo Li:
An end-to-end joint learning framework of artery-specific coronary calcium scoring in non-contrast cardiac CT. Computing 101(6): 667-678 (2019) - [j67]Qing Liu, Xiaopeng Hong, Shuo Li, Zailiang Chen, Guoying Zhao, Beiji Zou:
A spatial-aware joint optic disc and cup segmentation method. Neurocomputing 359: 285-297 (2019) - [j66]Shumao Pang, Zhihai Su, Stephanie Leung, Ilanit Ben Nachum, Bo Chen, Qianjin Feng, Shuo Li:
Direct automated quantitative measurement of spine by cascade amplifier regression network with manifold regularization. Medical Image Anal. 55: 103-115 (2019) - [j65]Zhifan Gao, Sitong Wu, Zhi Liu, Jianwen Luo, Heye Zhang, Mingming Gong, Shuo Li:
Learning the implicit strain reconstruction in ultrasound elastography using privileged information. Medical Image Anal. 58 (2019) - [j64]Rongjun Ge, Guanyu Yang, Yang Chen, Limin Luo, Cheng Feng, Heye Zhang, Shuo Li:
PV-LVNet: Direct left ventricle multitype indices estimation from 2D echocardiograms of paired apical views with deep neural networks. Medical Image Anal. 58 (2019) - [j63]Liansheng Wang, Qiuhao Xu, Stephanie Leung, Jonathan Chung, Bo Chen, Shuo Li:
Accurate automated Cobb angles estimation using multi-view extrapolation net. Medical Image Anal. 58 (2019) - [j62]Shen Zhao, Xi Wu, Bo Chen, Shuo Li:
Automatic spondylolisthesis grading from MRIs across modalities using faster adversarial recognition network. Medical Image Anal. 58 (2019) - [j61]Xiuquan Du, Renjun Tang, Susu Yin, Yanping Zhang, Shuo Li:
Direct Segmentation-Based Full Quantification for Left Ventricle via Deep Multi-Task Regression Learning Network. IEEE J. Biomed. Health Informatics 23(3): 942-948 (2019) - [c94]Rongchang Zhao, Wangmin Liao, Beiji Zou, Zailiang Chen, Shuo Li:
Weakly-Supervised Simultaneous Evidence Identification and Segmentation for Automated Glaucoma Diagnosis. AAAI 2019: 809-816 - [c93]Rongjun Ge, Guanyu Yang, Chenchu Xu, Jiulou Zhang, Yang Chen, Limin Luo, Cheng Feng, Heye Zhang, Shuo Li:
EchoQuan-Net: Direct Quantification of Echo Sequence for Left Ventricle Multidimensional Indices via Global-Local Learning, Geometric Adjustment and Multi-target Relation Learning. ICANN (Workshop) 2019: 219-230 - [c92]Gongning Luo, Suyu Dong, Kuanquan Wang, Dong Zhang, Yue Gao, Xin Chen, Henggui Zhang, Shuo Li:
A Deep Reinforcement Learning Framework for Frame-by-Frame Plaque Tracking on Intravascular Optical Coherence Tomography Image. MICCAI (1) 2019: 12-20 - [c91]Rongchang Zhao, Zailiang Chen, Xiyao Liu, Beiji Zou, Shuo Li:
Multi-index Optic Disc Quantification via MultiTask Ensemble Learning. MICCAI (1) 2019: 21-29 - [c90]Yuting He, Guanyu Yang, Yang Chen, Youyong Kong, Jiasong Wu, Lijun Tang, Xiaomei Zhu, Jean-Louis Dillenseger, Pengfei Shao, Shaobo Zhang, Huazhong Shu, Jean-Louis Coatrieux, Shuo Li:
DPA-DenseBiasNet: Semi-supervised 3D Fine Renal Artery Segmentation with Dense Biased Network and Deep Priori Anatomy. MICCAI (6) 2019: 139-147 - [c89]Xiaojiao Xiao, Juanjuan Zhao, Yan Qiang, Jaron Chong, Xiaotang Yang, Ntikurako Guy-Fernand Kazihise, Bo Chen, Shuo Li:
Radiomics-guided GAN for Segmentation of Liver Tumor Without Contrast Agents. MICCAI (2) 2019: 237-245 - [c88]Shen Zhao, Xi Wu, Bo Chen, Shuo Li:
Automatic Vertebrae Recognition from Arbitrary Spine MRI Images by a Hierarchical Self-calibration Detection Framework. MICCAI (4) 2019: 316-325 - [c87]Rongjun Ge, Guanyu Yang, Chenchu Xu, Yang Chen, Limin Luo, Shuo Li:
Stereo-Correlation and Noise-Distribution Aware ResVoxGAN for Dense Slices Reconstruction and Noise Reduction in Thick Low-Dose CT. MICCAI (6) 2019: 328-338 - [c86]Dong Zhang, Guang Yang, Shu Zhao, Yanping Zhang, Heye Zhang, Shuo Li:
Direct Quantification for Coronary Artery Stenosis Using Multiview Learning. MICCAI (2) 2019: 449-457 - [c85]Ming Li, Weiwei Zhang, Guang Yang, Chengjia Wang, Heye Zhang, Huafeng Liu, Wei Zheng, Shuo Li:
Recurrent Aggregation Learning for Multi-view Echocardiographic Sequences Segmentation. MICCAI (2) 2019: 678-686 - [c84]Zhifan Gao, Shuo Li:
Context-Aware Inductive Bias Learning for Vessel Border Detection in Multi-modal Intracoronary Imaging. MICCAI (2) 2019: 776-784 - [c83]Mike van Zon, Mitko Veta, Shuo Li:
Automatic cardiac landmark localization by a recurrent neural network. Image Processing 2019: 1094916 - [e6]Mihaela Pop, Maxime Sermesant, Jichao Zhao, Shuo Li, Kristin McLeod, Alistair A. Young, Kawal S. Rhode, Tommaso Mansi:
Statistical Atlases and Computational Models of the Heart. Atrial Segmentation and LV Quantification Challenges - 9th International Workshop, STACOM 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Revised Selected Papers. Lecture Notes in Computer Science 11395, Springer 2019, ISBN 978-3-030-12028-3 [contents] - [e5]Guoyan Zheng, Daniel L. Belavy, Yunliang Cai, Shuo Li:
Computational Methods and Clinical Applications for Spine Imaging - 5th International Workshop and Challenge, CSI 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Revised Selected Papers. Lecture Notes in Computer Science 11397, Springer 2019, ISBN 978-3-030-13735-9 [contents] - [i13]Dong Zhang, Guang Yang, Shu Zhao, Yanping Zhang, Heye Zhang, Shuo Li:
Direct Quantification for Coronary Artery Stenosis Using Multiview Learning. CoRR abs/1907.10032 (2019) - [i12]Ming Li, Weiwei Zhang, Guang Yang, Chengjia Wang, Heye Zhang, Huafeng Liu, Wei Zheng, Shuo Li:
Recurrent Aggregation Learning for Multi-View Echocardiographic Sequences Segmentation. CoRR abs/1907.11292 (2019) - 2018
- [j60]Xiuquan Du, Weiwei Zhang, Heye Zhang, Jun Chen, Yanping Zhang, James Warrington, Gary Brahm, Shuo Li:
Deep Regression Segmentation for Cardiac Bi-Ventricle MR Images. IEEE Access 6: 3828-3838 (2018) - [j59]Qingneng Li, Zhifan Gao, Qiuyu Wang, Jun Xia, Heye Zhang, Huailing Zhang, Huafeng Liu, Shuo Li:
Glioma Segmentation With a Unified Algorithm in Multimodal MRI Images. IEEE Access 6: 9543-9553 (2018) - [j58]Yufa Xia, Huailing Zhang, Lin Xu, Zhifan Gao, Heye Zhang, Huafeng Liu, Shuo Li:
An Automatic Cardiac Arrhythmia Classification System With Wearable Electrocardiogram. IEEE Access 6: 16529-16538 (2018) - [j57]Xiuquan Du, Yu Yao, Yanyu Diao, Huaixu Zhu, Yanping Zhang, Shuo Li:
DeepSS: Exploring Splice Site Motif Through Convolutional Neural Network Directly From DNA Sequence. IEEE Access 6: 32958-32978 (2018) - [j56]Xiaoxu He, Stephanie Leung, James Warrington, Olga Shmuilovich, Shuo Li:
Automated neural foraminal stenosis grading via task-aware structural representation learning. Neurocomputing 287: 185-195 (2018) - [j55]Bin Gu, Yingying Shan, Victor S. Sheng, Yuhui Zheng, Shuo Li:
Sparse regression with output correlation for cardiac ejection fraction estimation. Inf. Sci. 423: 303-312 (2018) - [j54]Wufeng Xue, Gary Brahm, Sachin Pandey, Stephanie Leung, Shuo Li:
Full left ventricle quantification via deep multitask relationships learning. Medical Image Anal. 43: 54-65 (2018) - [j53]Hongbo Wu, Chris Bailey, Parham Rasoulinejad, Shuo Li:
Automated comprehensive Adolescent Idiopathic Scoliosis assessment using MVC-Net. Medical Image Anal. 48: 1-11 (2018) - [j52]Zhongyi Han, Benzheng Wei, Ashley Mercado, Stephanie Leung, Shuo Li:
Spine-GAN: Semantic segmentation of multiple spinal structures. Medical Image Anal. 50: 23-35 (2018) - [j51]Chenchu Xu, Lei Xu, Zhifan Gao, Shen Zhao, Heye Zhang, Yanping Zhang, Xiuquan Du, Shu Zhao, Dhanjoo N. Ghista, Huafeng Liu, Shuo Li:
Direct delineation of myocardial infarction without contrast agents using a joint motion feature learning architecture. Medical Image Anal. 50: 82-94 (2018) - [j50]Zhongyi Han, Benzheng Wei, Stephanie Leung, Ilanit Ben Nachum, David T. Laidley, Shuo Li:
Automated Pathogenesis-Based Diagnosis of Lumbar Neural Foraminal Stenosis via Deep Multiscale Multitask Learning. Neuroinformatics 16(3-4): 325-337 (2018) - [j49]Xiantong Zhen, Mengyang Yu, Xiaofei He, Shuo Li:
Multi-Target Regression via Robust Low-Rank Learning. IEEE Trans. Pattern Anal. Mach. Intell. 40(2): 497-504 (2018) - [j48]Shen Zhao, Zhifan Gao, Heye Zhang, Yaoqin Xie, Jianwen Luo, Dhanjoo N. Ghista, Zhanghong Wei, Xiaojun Bi, Huahua Xiong, Chenchu Xu, Shuo Li:
Robust Segmentation of Intima-Media Borders With Different Morphologies and Dynamics During the Cardiac Cycle. IEEE J. Biomed. Health Informatics 22(5): 1571-1582 (2018) - [j47]Zhifan Gao, Yanjie Li, Yuanyuan Sun, Jiayuan Yang, Huahua Xiong, Heye Zhang, Xin Liu, Wanqing Wu, Dong Liang, Shuo Li:
Motion Tracking of the Carotid Artery Wall From Ultrasound Image Sequences: a Nonlinear State-Space Approach. IEEE Trans. Medical Imaging 37(1): 273-283 (2018) - [j46]Xiantong Zhen, Mengyang Yu, Feng Zheng, Ilanit Ben Nachum, Mousumi Bhaduri, David T. Laidley, Shuo Li:
Multitarget Sparse Latent Regression. IEEE Trans. Neural Networks Learn. Syst. 29(5): 1575-1586 (2018) - [c82]Shizhong Dong, Zhifan Gao, Shanhui Sun, Xin Wang, Ming Li, Heye Zhang, Guang Yang, Huafeng Liu, Shuo Li:
Holistic and Deep Feature Pyramids for Saliency Detection. BMVC 2018: 67 - [c81]Min Li, Shizhong Dong, Kun Zhang, Zhifan Gao, Xi Wu, Heye Zhang, Guang Yang, Shuo Li:
Deep Learning intra-image and inter-images features for Co-saliency detection. BMVC 2018: 291 - [c80]Liansheng Wang, Qiuhao Xu, Shuo Li:
Utility Balanced Classification for Automatic Electronic Medical Record Analysis. ICSAI 2018: 1093-1098 - [c79]Zongqing Ma, Xi Wu, Shanhui Sun, Chaoyang Xia, Zhipeng Yang, Shuo Li, Jiliu Zhou:
A discriminative learning based approach for automated nasopharyngeal carcinoma segmentation leveraging multi-modality similarity metric learning. ISBI 2018: 813-816 - [c78]Clara M. Tam, Xiaofeng Yang, Sibo Tian, Xi Jiang, Jonathan J. Beitler, Shuo Li:
Automated delineation of organs-at-risk in head and neck CT images using multi-output support vector regression. Biomedical Applications in Molecular, Structural, and Functional Imaging 2018: 1057824 - [c77]Guodong Zeng, Daniel L. Belavy, Shuo Li, Guoyan Zheng:
Evaluation and Comparison of Automatic Intervertebral Disc Localization and Segmentation methods with 3D Multi-modality MR Images: A Grand Challenge. CSI@MICCAI 2018: 163-171 - [c76]Zhongyi Han, Benzheng Wei, Stephanie Leung, Jonathan Chung, Shuo Li:
Towards Automatic Report Generation in Spine Radiology Using Weakly Supervised Framework. MICCAI (4) 2018: 185-193 - [c75]Sitong Wu, Zhifan Gao, Zhi Liu, Jianwen Luo, Heye Zhang, Shuo Li:
Direct Reconstruction of Ultrasound Elastography Using an End-to-End Deep Neural Network. MICCAI (1) 2018: 374-382 - [c74]Wufeng Xue, Gary Brahm, Stephanie Leung, Olga Shmuilovich, Shuo Li:
Cardiac Motion Scoring with Segment- and Subject-Level Non-local Modeling. MICCAI (2) 2018: 437-445 - [c73]Chenchu Xu, Lei Xu, Gary Brahm, Heye Zhang, Shuo Li:
MuTGAN: Simultaneous Segmentation and Quantification of Myocardial Infarction Without Contrast Agents via Joint Adversarial Learning. MICCAI (2) 2018: 525-534 - [c72]Suyu Dong, Gongning Luo, Kuanquan Wang, Shaodong Cao, Ashley Mercado, Olga Shmuilovich, Henggui Zhang, Shuo Li:
VoxelAtlasGAN: 3D Left Ventricle Segmentation on Echocardiography with Atlas Guided Generation and Voxel-to-Voxel Discrimination. MICCAI (4) 2018: 622-629 - [c71]Shumao Pang, Stephanie Leung, Ilanit Ben Nachum, Qianjin Feng, Shuo Li:
Direct Automated Quantitative Measurement of Spine via Cascade Amplifier Regression Network. MICCAI (2) 2018: 940-948 - [e4]Danail Stoyanov, Zeike Taylor, Stephen R. Aylward, João Manuel R. S. Tavares, Yiming Xiao, Amber L. Simpson, Anne L. Martel, Lena Maier-Hein, Shuo Li, Hassan Rivaz, Ingerid Reinertsen, Matthieu Chabanas, Keyvan Farahani:
Simulation, Image Processing, and Ultrasound Systems for Assisted Diagnosis and Navigation - International Workshops, POCUS 2018, BIVPCS 2018, CuRIOUS 2018, and CPM 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16-20, 2018, Proceedings. Lecture Notes in Computer Science 11042, Springer 2018, ISBN 978-3-030-01044-7 [contents] - [i11]Suyu Dong, Gongning Luo, Kuanquan Wang, Shaodong Cao, Ashley Mercado, Olga Shmuilovich, Henggui Zhang, Shuo Li:
VoxelAtlasGAN: 3D Left Ventricle Segmentation on Echocardiography with Atlas Guided Generation and Voxel-to-voxel Discrimination. CoRR abs/1806.03619 (2018) - [i10]Wufeng Xue, Gary Brahm, Stephanie Leung, Olga Shmuilovich, Shuo Li:
Cardiac Motion Scoring with Segment- and Subject-level Non-Local Modeling. CoRR abs/1806.05569 (2018) - [i9]Shumao Pang, Stephanie Leung, Ilanit Ben Nachum, Qianjin Feng, Shuo Li:
Direct Automated Quantitative Measurement of Spine via Cascade Amplifier Regression Network. CoRR abs/1806.05570 (2018) - 2017
- [j45]Xinjian Chen, Shuo Li, Emanuele Trucco, Jimmy Jiang Liu, Yonggang Shi, Beiji Zou:
Preface. Comput. Medical Imaging Graph. 55: 1 (2017) - [j44]Tao Zhang, Qing Li, Chang-shui Zhang, Hua-wei Liang, Ping Li, Tianmiao Wang, Shuo Li, Yun-long Zhu, Cheng Wu:
Current trends in the development of intelligent unmanned autonomous systems. Frontiers Inf. Technol. Electron. Eng. 18(1): 68-85 (2017) - [j43]Xiaoxu He, Heye Zhang, Mark Landis, Manas Sharma, James Warrington, Shuo Li:
Unsupervised boundary delineation of spinal neural foramina using a multi-feature and adaptive spectral segmentation. Medical Image Anal. 36: 22-40 (2017) - [j42]Xiantong Zhen, Heye Zhang, Ali Islam, Mousumi Bhaduri, Ian Chan, Shuo Li:
Direct and simultaneous estimation of cardiac four chamber volumes by multioutput sparse regression. Medical Image Anal. 36: 184-196 (2017) - [j41]Zhifan Gao, Huahua Xiong, Xin Liu, Heye Zhang, Dhanjoo N. Ghista, Wanqing Wu, Shuo Li:
Robust estimation of carotid artery wall motion using the elasticity-based state-space approach. Medical Image Anal. 37: 1-21 (2017) - [j40]Bin Gu, Victor S. Sheng, KengYeow Tay, Walter Romano, Shuo Li:
Cross Validation Through Two-Dimensional Solution Surface for Cost-Sensitive SVM. IEEE Trans. Pattern Anal. Mach. Intell. 39(6): 1103-1121 (2017) - [j39]Xiaoxu He, Andrea Lum, Manas Sharma, Gary Brahm, Ashley Mercado, Shuo Li:
Automated segmentation and area estimation of neural foramina with boundary regression model. Pattern Recognit. 63: 625-641 (2017) - [j38]Yunliang Cai, Andrea Lum, Ashley Mercado, Mark Landis, James Warrington, Shuo Li:
Unsupervised shape discovery using synchronized spectral networks. Pattern Recognit. 69: 39-51 (2017) - [j37]Jin Zhang, Wei Li, Jiancheng Yu, Qifeng Zhang, Shengguo Cui, Yan Li, Shuo Li, Genshe Chen:
Development of a Virtual Platform for Telepresence Control of an Underwater Manipulator Mounted on a Submersible Vehicle. IEEE Trans. Ind. Electron. 64(2): 1716-1727 (2017) - [j36]Wufeng Xue, Ali Islam, Mousumi Bhaduri, Shuo Li:
Direct Multitype Cardiac Indices Estimation via Joint Representation and Regression Learning. IEEE Trans. Medical Imaging 36(10): 2057-2067 (2017) - [j35]Xiantong Zhen, Mengyang Yu, Ali Islam, Mousumi Bhaduri, Ian Chan, Shuo Li:
Descriptor Learning via Supervised Manifold Regularization for Multioutput Regression. IEEE Trans. Neural Networks Learn. Syst. 28(9): 2035-2047 (2017) - [c70]Haoliang Sun, Xiantong Zhen, Yuanjie Zheng, Gongping Yang, Yilong Yin, Shuo Li:
Learning Deep Match Kernels for Image-Set Classification. CVPR 2017: 6240-6249 - [c69]Wufeng Xue, Ilanit Ben Nachum, Sachin Pandey, James Warrington, Stephanie Leung, Shuo Li:
Direct Estimation of Regional Wall Thicknesses via Residual Recurrent Neural Network. IPMI 2017: 505-516 - [c68]Haoliang Sun, Xiantong Zhen, Chris Bailey, Parham Rasoulinejad, Yilong Yin, Shuo Li:
Direct Estimation of Spinal Cobb Angles by Structured Multi-output Regression. IPMI 2017: 529-540 - [c67]Shengran Su, Zhifan Gao, Heye Zhang, Qiang Lin, William Kongto Hau, Shuo Li:
Detection of lumen and media-adventitia borders in IVUS images using sparse auto-encoder neural network. ISBI 2017: 1120-1124 - [c66]Liansheng Wang, Shusheng Li, Yiping Chen, Jiankun Lin, Changhua Liu, Xiantong Zeng, Shuo Li:
Direct aneurysm volume estimation by multi-view semi-supervised manifold learning. ISBI 2017: 1222-1225 - [c65]Xiangrong Zhou, Takuya Kano, Hiromi Koyasu, Shuo Li, Xinxin Zhou, Takeshi Hara, Masayuki Matsuo, Hiroshi Fujita:
Automated assessment of breast tissue density in non-contrast 3D CT images without image segmentation based on a deep CNN. Computer-Aided Diagnosis 2017: 101342Q - [c64]Shusheng Li, Liansheng Wang, Shuo Li:
Volume calculation of CT lung lesions based on Halton low-discrepancy sequences. Computer-Aided Diagnosis 2017: 101343V - [c63]Xiaoxu He, Mark Landis, Stephanie Leung, James Warrington, Olga Shmuilovich, Shuo Li:
Automated grading of lumbar disc degeneration via supervised distance metric learning. Computer-Aided Diagnosis 2017: 1013443 - [c62]Hongbo Wu, Chris Bailey, Parham Rasoulinejad, Shuo Li:
Automatic Landmark Estimation for Adolescent Idiopathic Scoliosis Assessment Using BoostNet. MICCAI (1) 2017: 127-135 - [c61]Chenchu Xu, Lei Xu, Zhifan Gao, Shen Zhao, Heye Zhang, Yanping Zhang, Xiuquan Du, Shu Zhao, Dhanjoo N. Ghista, Shuo Li:
Direct Detection of Pixel-Level Myocardial Infarction Areas via a Deep-Learning Algorithm. MICCAI (3) 2017: 240-249 - [c60]Wufeng Xue, Andrea Lum, Ashley Mercado, Mark Landis, James Warrington, Shuo Li:
Full Quantification of Left Ventricle via Deep Multitask Learning Network Respecting Intra- and Inter-Task Relatedness. MICCAI (3) 2017: 276-284 - [c59]Yunliang Cai, Stephanie Leung, James Warrington, Sachin Pandey, Olga Shmuilovich, Shuo Li:
Direct spondylolisthesis identification and measurement in MR/CT using detectors trained by articulated parameterized spine model. Image Processing 2017: 1013319 - [e3]M. Jorge Cardoso, Tal Arbel, João Manuel R. S. Tavares, Stephen R. Aylward, Shuo Li, Emad Boctor, Gabor Fichtinger, Kevin Cleary, Bradley Freeman, Luv Kohli, Deborah Shipley Kane, Matt Oetgen, Sonja Pujol:
Imaging for Patient-Customized Simulations and Systems for Point-of-Care Ultrasound - International Workshops, BIVPCS 2017 and POCUS 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, September 14, 2017, Proceedings. Lecture Notes in Computer Science 10549, Springer 2017, ISBN 978-3-319-67551-0 [contents] - [i8]Wufeng Xue, Ali Islam, Mousumi Bhaduri, Shuo Li:
Direct Multitype Cardiac Indices Estimation via Joint Representation and Regression Learning. CoRR abs/1705.09307 (2017) - [i7]Wufeng Xue, Ilanit Ben Nachum, Sachin Pandey, James Warrington, Stephanie Leung, Shuo Li:
Direct Estimation of Regional Wall Thicknesses via Residual Recurrent Neural Network. CoRR abs/1705.09728 (2017) - [i6]Liansheng Wang, Shusheng Li, Shuo Li:
Volume Calculation of CT lung Lesions based on Halton Low-discrepancy Sequences. CoRR abs/1706.01644 (2017) - [i5]Wufeng Xue, Andrea Lum, Ashley Mercado, Mark Landis, James Warrington, Shuo Li:
Full Quantification of Left Ventricle via Deep Multitask Learning Network Respecting Intra- and Inter-Task Relatedness. CoRR abs/1706.01912 (2017) - [i4]Chenchu Xu, Lei Xu, Zhifan Gao, Shen Zhao, Heye Zhang, Yanping Zhang, Xiuquan Du, Shu Zhao, Dhanjoo N. Ghista, Shuo Li:
Direct detection of pixel-level myocardial infarction areas via a deep-learning algorithm. CoRR abs/1706.03182 (2017) - 2016
- [j34]Jianhua Yao, Joseph E. Burns, Daniel Forsberg, Alexander Seitel, Abtin Rasoulian, Purang Abolmaesumi, Kerstin Hammernik, Martin Urschler, Bulat Ibragimov, Robert Korez, Tomaz Vrtovec, Isaac Castro-Mateos, Jose M. Pozo, Alejandro F. Frangi, Ronald M. Summers, Shuo Li:
A multi-center milestone study of clinical vertebral CT segmentation. Comput. Medical Imaging Graph. 49: 16-28 (2016) - [j33]Yunliang Cai, Mark Landis, David T. Laidley, Anat Kornecki, Andrea Lum, Shuo Li:
Multi-modal vertebrae recognition using Transformed Deep Convolution Network. Comput. Medical Imaging Graph. 51: 11-19 (2016) - [j32]Brandon Miles, Ismail Ben Ayed, Seyed-Parsa Hojjat, Michael Wang, Shuo Li, Aaron Fenster, Gregory J. Garvin:
Spine labeling in axial magnetic resonance imaging via integral kernels. Comput. Medical Imaging Graph. 54: 27-34 (2016) - [j31]Kumaradevan Punithakumar, Ismail Ben Ayed, Mariam Afshin, Aashish Goela, Ali Islam, Shuo Li, Pierre Boulanger, Harald Becher, Michelle Noga:
Detecting left ventricular impaired relaxation in cardiac MRI using moving mesh correspondences. Comput. Methods Programs Biomed. 124: 58-66 (2016) - [j30]Xiantong Zhen, Zhijie Wang, Ali Islam, Mousumi Bhaduri, Ian Chan, Shuo Li:
Multi-scale deep networks and regression forests for direct bi-ventricular volume estimation. Medical Image Anal. 30: 120-129 (2016) - [j29]Yunliang Cai, Ali Islam, Mousumi Bhaduri, Ian Chan, Shuo Li:
Unsupervised Freeview Groupwise Cardiac Segmentation Using Synchronized Spectral Network. IEEE Trans. Medical Imaging 35(9): 2174-2188 (2016) - [c58]Xiangrong Zhou, Takuya Kano, Yunliang Cai, Shuo Li, Xinxin Zhou, Takeshi Hara, Ryujiro Yokoyama, Hiroshi Fujita:
Automatic quantification of mammary glands on non-contrast x-ray CT by using a novel segmentation approach. Computer-Aided Diagnosis 2016: 97851Z - [c57]Zhifan Gao, Yuanyuan Sun, Heye Zhang, Dhanjoo N. Ghista, Yanjie Li, Huahua Xiong, Xin Liu, Yaoqin Xie, Wanqing Wu, Shuo Li:
Carotid Artery Wall Motion Estimated from Ultrasound Imaging Sequences Using a Nonlinear State Space Approach. MICCAI (3) 2016: 98-106 - [c56]Xiantong Zhen, Yilong Yin, Mousumi Bhaduri, Ilanit Ben Nachum, David T. Laidley, Shuo Li:
Multi-task Shape Regression for Medical Image Segmentation. MICCAI (3) 2016: 210-218 - [c55]Xiaoxu He, Yilong Yin, Manas Sharma, Gary Brahm, Ashley Mercado, Shuo Li:
Automated Diagnosis of Neural Foraminal Stenosis Using Synchronized Superpixels Representation. MICCAI (2) 2016: 335-343 - [c54]Ji-Hong Li, Hyung-Joo Kang, Sung-Mun Hong, Jin-Ho Suh, Shuo Li:
3D path following control method for torpedo-type AUVs with uncertainty terms in their dynamics. ROBIO 2016: 1407-1412 - [c53]Zhibin Jiang, Shuo Li, Tiejun Liu:
Active disturbance rejection control for diving motion of Autonomous Underwater Vehicles. ROBIO 2016: 1418-1423 - [c52]Sanming Song, J. Michael Herrmann, Kaizhou Liu, Shuo Li, Xisheng Feng:
Forward-looking sonar image mosaicking by feature tracking. ROBIO 2016: 1613-1618 - [e2]Tomaz Vrtovec, Jianhua Yao, Ben Glocker, Tobias Klinder, Alejandro F. Frangi, Guoyan Zheng, Shuo Li:
Computational Methods and Clinical Applications for Spine Imaging - Third International Workshop and Challenge, CSI 2015, Held in Conjunction with MICCAI 2015, Munich, Germany, October 5, 2015, Revised Selected Papers. Lecture Notes in Computer Science 9402, Springer 2016, ISBN 978-3-319-41826-1 [contents] - [e1]Jianhua Yao, Tomaz Vrtovec, Guoyan Zheng, Alejandro F. Frangi, Ben Glocker, Shuo Li:
Computational Methods and Clinical Applications for Spine Imaging - 4th International Workshop and Challenge, CSI 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 17, 2016, Revised Selected Papers. Lecture Notes in Computer Science 10182, Springer 2016, ISBN 978-3-319-55049-7 [contents] - 2015
- [j28]João Manuel R. S. Tavares, Xiongbiao Luo, Shuo Li:
Special issue: 1st MICCAI workshop on bio- imaging and visualization for patient-customized simulations. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 3(4): 177 (2015) - [j27]Guoyan Zheng, Shuo Li:
Medical image computing in diagnosis and intervention of spinal diseases. Comput. Medical Imaging Graph. 45: 99-101 (2015) - [j26]Bin Gu, Victor S. Sheng, Zhijie Wang, Derek Ho, Said Osman, Shuo Li:
Incremental learning for ν-Support Vector Regression. Neural Networks 67: 140-150 (2015) - [j25]Ismail Ben Ayed, Kumaradevan Punithakumar, Shuo Li:
Distribution Matching with the Bhattacharyya Similarity: A Bound Optimization Framework. IEEE Trans. Pattern Anal. Mach. Intell. 37(9): 1777-1791 (2015) - [j24]Shuo Li, Jianhua Yao, Nassir Navab:
Guest Editorial Special Issue on Spine Imaging, Image-Based Modeling, and Image Guided Intervention. IEEE Trans. Medical Imaging 34(8): 1625-1626 (2015) - [j23]Zhijie Wang, Xiantong Zhen, KengYeow Tay, Said Osman, Walter Romano, Shuo Li:
Regression Segmentation for M3 Spinal Images. IEEE Trans. Medical Imaging 34(8): 1640-1648 (2015) - [j22]Yunliang Cai, Said Osman, Manas Sharma, Mark Landis, Shuo Li:
Multi-Modality Vertebra Recognition in Arbitrary Views Using 3D Deformable Hierarchical Model. IEEE Trans. Medical Imaging 34(8): 1676-1693 (2015) - [j21]Zhijie Wang, Xiantong Zhen, KengYeow Tay, Said Osman, Walter Romano, Shuo Li:
Correction to "Regression Segmentation for M3 Spinal Images". IEEE Trans. Medical Imaging 34(9): 1989 (2015) - [j20]Bin Gu, Victor S. Sheng, KengYeow Tay, Walter Romano, Shuo Li:
Incremental Support Vector Learning for Ordinal Regression. IEEE Trans. Neural Networks Learn. Syst. 26(7): 1403-1416 (2015) - [c51]Xiantong Zhen, Zhijie Wang, Mengyang Yu, Shuo Li:
Supervised descriptor learning for multi-output regression. CVPR 2015: 1211-1218 - [c50]Bin Gu, Victor S. Sheng, Shuo Li:
Bi-Parameter Space Partition for Cost-Sensitive SVM. IJCAI 2015: 3532-3539 - [c49]Qi Chen, Wei Li, Xiaohui Wang, Yan Li, Shuo Li, Bin Xian:
Maintaining constant towing tension between cable ship and burying system under sea waves by hybrid FUZZY P + ID controller. IROS 2015: 1652-1657 - [c48]Shuo Li, A. Lin, KengYeow Tay, Walter Romano, Said Osman:
Prognosis of intervertebral disc loss from diagnosis of degenerative disc disease. Computer-Aided Diagnosis 2015: 94143E - [c47]Chengwen Chu, Weimin Yu, Shuo Li, Guoyan Zheng:
Localization and Segmentation of 3D Intervertebral Discs from MR Images via a Learning Based Method: A Validation Framework. CSI@MICCAI 2015: 141-149 - [c46]Yunliang Cai, Ali Islam, Mousumi Bhaduri, Ian Chan, Shuo Li:
Unsupervised Free-View Groupwise Segmentation for M3 Cardiac Images Using Synchronized Spectral Network. MICCAI (2) 2015: 280-288 - [c45]Xiantong Zhen, Ali Islam, Mousumi Bhaduri, Ian Chan, Shuo Li:
Direct and Simultaneous Four-Chamber Volume Estimation by Multi-Output Regression. MICCAI (1) 2015: 669-676 - [c44]Xiantong Zhen, Zhijie Wang, Ali Islam, Mousumi Bhaduri, Ian Chan, Shuo Li:
Direct volume estimation without segmentation. Image Processing 2015: 94132G - [i3]Xiantong Zhen, Shuo Li:
Towards Direct Medical Image Analysis without Segmentation. CoRR abs/1510.06375 (2015) - 2014
- [j19]Zhijie Wang, Mohamed Ben Salah, Bin Gu, Ali Islam, Aashish Goela, Shuo Li:
Direct Estimation of Cardiac Biventricular Volumes With an Adapted Bayesian Formulation. IEEE Trans. Biomed. Eng. 61(4): 1251-1260 (2014) - [j18]Mariam Afshin, Ismail Ben Ayed, Kumaradevan Punithakumar, Max W. K. Law, Ali Islam, Aashish Goela, Terry M. Peters, Shuo Li:
Regional Assessment of Cardiac Left Ventricular Myocardial Function via MRI Statistical Features. IEEE Trans. Medical Imaging 33(2): 481-494 (2014) - [c43]Kumaradevan Punithakumar, Michelle Noga, Pierre Boulanger, Ismail Ben Ayed, Mariam Afshin, Aashish Goela, Ali Islam, Shuo Li:
Detecting left ventricular impaired relaxation using MR imaging. BHI 2014: 310-313 - [c42]Xiantong Zhen, Zhijie Wang, Ali Islam, Mousumi Bhaduri, Ian Chan, Shuo Li:
Direct Estimation of Cardiac Bi-ventricular Volumes with Regression Forests. MICCAI (2) 2014: 586-593 - 2013
- [j17]Wiro J. Niessen, Shuo Li, Song Wang:
Special issue on Shape Modeling in Medical Image Analysis. Comput. Vis. Image Underst. 117(9): 965 (2013) - [j16]Chengwen Xing, Shuo Li, Zesong Fei, Jingming Kuang:
How to understand linear minimum mean-square-error transceiver design for multiple-input-multiple-output systems from quadratic matrix programming. IET Commun. 7(12): 1231-1242 (2013) - [j15]Max W. K. Law, KengYeow Tay, Andrew E. Leung, Gregory J. Garvin, Shuo Li:
Intervertebral disc segmentation in MR images using anisotropic oriented flux. Medical Image Anal. 17(1): 43-61 (2013) - [j14]Kumaradevan Punithakumar, Ismail Ben Ayed, Ali Islam, Aashish Goela, Ian G. Ross, Jaron Chong, Shuo Li:
Regional heart motion abnormality detection: An information theoretic approach. Medical Image Anal. 17(3): 311-324 (2013) - [j13]Zesong Fei, Niwei Wang, Chengwen Xing, Shuo Li, Jiqing Ni, Jingming Kuang:
Robust Filter-and-forward Beamforming Design for Two-way Multi-antenna Relaying Networks. Mob. Networks Appl. 18(4): 467-476 (2013) - [j12]Brandon Miles, Ismail Ben Ayed, Max W. K. Law, Gregory J. Garvin, Aaron Fenster, Shuo Li:
Spine Image Fusion Via Graph Cuts. IEEE Trans. Biomed. Eng. 60(7): 1841-1850 (2013) - [c41]Max W. K. Law, Gregory J. Garvin, Sudhakar Tummala, KengYeow Tay, Andrew E. Leung, Shuo Li:
Gradient Competition Anisotropy for Centerline Extraction and Segmentation of Spinal Cords. IPMI 2013: 49-61 - [c40]Shuo Li, Bingquan Li, Chengwen Xing, Zesong Fei, Shaodan Ma:
Joint resource allocation for learning-based cognitive radio networks with MIMO-OFDM relay-aided transmissions. WCNC 2013: 3271-3276 - [i2]Chengwen Xing, Shuo Li, Zesong Fei, Jingming Kuang:
How to Understand LMMSE Transceiver Design for MIMO Systems From Quadratic Matrix Programming. CoRR abs/1301.0080 (2013) - 2012
- [j11]Ismail Ben Ayed, Hua-mei Chen, Kumaradevan Punithakumar, Ian G. Ross, Shuo Li:
Max-flow segmentation of the left ventricle by recovering subject-specific distributions via a bound of the Bhattacharyya measure. Medical Image Anal. 16(1): 87-100 (2012) - [j10]Kumaradevan Punithakumar, Jing Yuan, Ismail Ben Ayed, Shuo Li, Yuri Boykov:
A Convex Max-Flow Approach to Distribution-Based Figure-Ground Separation. SIAM J. Imaging Sci. 5(4): 1333-1354 (2012) - [c39]Bingquan Li, Shuo Li, Xiang Ji, Jiqing Ni, Chengwen Xing, Zesong Fei:
On the performance of two-way relaying with dirty paper coding. CHINACOM 2012: 135-138 - [c38]Shuo Li, Chengwen Xing, Zesong Fei, Jingming Kuang:
Robust two-way amplify-and-forward MIMO relay beamforming with non-reciprocal and reciprocal CSI. CHINACOM 2012: 343-347 - [c37]Shuo Li, Bingquan Li, Yantao Han, Chengwen Xing, Zesong Fei, Jingming Kuang:
An enhanced echo MIMO channel estimation method. CHINACOM 2012: 390-393 - [c36]Max W. K. Law, KengYeow Tay, Andrew E. Leung, Gregory J. Garvin, Shuo Li:
Dilated Divergence Based Scale-Space Representation for Curve Analysis. ECCV (2) 2012: 557-571 - [c35]Bingquan Li, Shuo Li, Chengwen Xing, Zesong Fei, Jingming Kuang:
A QoE-based OFDM resource allocation scheme for energy efficiency and quality guarantee in multiuser-multiservice system. GLOBECOM Workshops 2012: 1293-1297 - [c34]Mariam Afshin, Ismail Ben Ayed, Ali Islam, Aashish Goela, Ian G. Ross, Terry M. Peters, Shuo Li:
Estimation of the Cardiac Ejection Fraction from image statistics. ISBI 2012: 824-827 - [c33]Brandon Miles, Max W. K. Law, Ismail Ben Ayed, Gregory J. Garvin, Aaron Fenster, Shuo Li:
Pixel level image fusion for medical imaging: an energy minimizing approach. Computer-Aided Diagnosis 2012: 831511 - [c32]Kumaradevan Punithakumar, Ismail Ben Ayed, Ali Islam, Aashish Goela, Shuo Li:
Regional Heart Motion Abnormality Detection via Multiview Fusion. MICCAI (2) 2012: 527-534 - [c31]Mariam Afshin, Ismail Ben Ayed, Ali Islam, Aashish Goela, Terry M. Peters, Shuo Li:
Global Assessment of Cardiac Function Using Image Statistics in MRI. MICCAI (2) 2012: 535-543 - [i1]Zesong Fei, Shuo Li, Chengwen Xing, Yiqing Zhou, Jingming Kuang:
Distributed Resource Allocation Algorithm Design for Multi-Cell Networks Based on Advanced Decomposition Theory. CoRR abs/1209.3416 (2012) - 2011
- [c30]Mohammad Saleh Nambakhsh, Jing Yuan, Ismail Ben Ayed, Kumaradevan Punithakumar, Aashish Goela, Ali Islam, Terry M. Peters, Shuo Li:
A Convex Max-Flow Segmentation of LV Using Subject-Specific Distributions on Cardiac MRI. IPMI 2011: 171-183 - [c29]Ismail Ben Ayed, Kumaradevan Punithakumar, Gregory J. Garvin, Walter Romano, Shuo Li:
Graph Cuts with Invariant Object-Interaction Priors: Application to Intervertebral Disc Segmentation. IPMI 2011: 221-232 - [c28]Mariam Afshin, Ismail Ben Ayed, Kumaradevan Punithakumar, Max W. K. Law, Ali Islam, Aashish Goela, Ian G. Ross, Terry M. Peters, Shuo Li:
Assessment of Regional Myocardial Function via Statistical Features in MR Images. MICCAI (3) 2011: 107-114 - [c27]Mohammad Saleh Nambakhsh, Kumaradevan Punithakumar, Ismail Ben Ayed, Aashish Goela, Ali Islam, Terry M. Peters, Shuo Li:
A neural network learned information measures for heart motion abnormality detection. Image Processing 2011: 79621H - [c26]Mariam Afshin, Ismail Ben Ayed, Ali Islam, Ian G. Ross, Terry M. Peters, Shuo Li:
Variational level-set segmentation and tracking of left ventricle using field prior. Image Processing 2011: 79622D - [c25]Haichuan Ding, Shuo Li, Chengwen Xing, Zesong Fei:
Outage performance analysis for cooperative networks with randomly distributed nodes. WCSP 2011: 1-5 - 2010
- [j9]Kumaradevan Punithakumar, Ismail Ben Ayed, Ali Islam, Ian G. Ross, Shuo Li:
Tracking Endocardial Motion Via Multiple Model Filtering. IEEE Trans. Biomed. Eng. 57(8): 2001-2010 (2010) - [j8]Kumaradevan Punithakumar, Ismail Ben Ayed, Ian G. Ross, Ali Islam, Jaron Chong, Shuo Li:
Detection of left ventricular motion abnormality via information measures and Bayesian filtering. IEEE Trans. Inf. Technol. Biomed. 14(4): 1106-1113 (2010) - [c24]Ismail Ben Ayed, Amar Mitiche, Mohamed Ben Salah, Shuo Li:
Finding image distributions on active curves. CVPR 2010: 3225-3232 - [c23]Ismail Ben Ayed, Hua-mei Chen, Kumaradevan Punithakumar, Ian G. Ross, Shuo Li:
Graph cut segmentation with a global constraint: Recovering region distribution via a bound of the Bhattacharyya measure. CVPR 2010: 3288-3295 - [c22]Hua-mei Chen, Aashish Goela, Gregory J. Garvin, Shuo Li:
A Parameterization of Deformation Fields for Diffeomorphic Image Registration and Its Application to Myocardial Delineation. MICCAI (1) 2010: 340-348 - [c21]Kumaradevan Punithakumar, Ismail Ben Ayed, Ali Islam, Ian G. Ross, Shuo Li:
Regional Heart Motion Abnormality Detection via Information Measures and Unscented Kalman Filtering. MICCAI (1) 2010: 409-417
2000 – 2009
- 2009
- [j7]Ismail Ben Ayed, Shuo Li, Ian G. Ross, Ali Islam:
Myocardium tracking via matching distributions. Int. J. Comput. Assist. Radiol. Surg. 4(1): 37-44 (2009) - [j6]Ismail Ben Ayed, Shuo Li, Ian G. Ross:
A Statistical Overlap Prior for Variational Image Segmentation. Int. J. Comput. Vis. 85(1): 115-132 (2009) - [j5]Ismail Ben Ayed, Shuo Li, Ian G. Ross:
Embedding Overlap Priors in Variational Left Ventricle Tracking. IEEE Trans. Medical Imaging 28(12): 1902-1913 (2009) - [c20]Kumaradevan Punithakumar, Ismail Ben Ayed, Ali Islam, Ian G. Ross, Shuo Li:
Tracking Endocardial Boundary and Motion via Graph Cut Distribution Matching and Multiple Model Filtering. ACCV (3) 2009: 172-182 - [c19]Baoju Wu, Shuo Li, Xiaohui Wang:
Discrete-Time Adaptive Sliding Mode Control of Autonomous Underwater Vehicle in the Dive Plane. ICIRA 2009: 157-164 - [c18]Ismail Ben Ayed, Shuo Li, Ian G. Ross:
Level Set Image Segmentation with a Statistical Overlap Constraint. IPMI 2009: 589-601 - [c17]Kumaradevan Punithakumar, Shuo Li, Ismail Ben Ayed, Ian G. Ross, Ali Islam, Jaron Chong:
Heart Motion Abnormality Detection via an Information Measure and Bayesian Filtering. MICCAI (1) 2009: 373-380 - [c16]Ismail Ben Ayed, Kumaradevan Punithakumar, Shuo Li, Ali Islam, Jaron Chong:
Left Ventricle Segmentation via Graph Cut Distribution Matching. MICCAI (1) 2009: 901-909 - 2008
- [c15]Ismail Ben Ayed, Shuo Li, Ian G. Ross:
Tracking distributions with an overlap prior. CVPR 2008 - [c14]Ismail Ben Ayed, Yingli Lu, Shuo Li, Ian G. Ross:
Left Ventricle Tracking Using Overlap Priors. MICCAI (1) 2008: 1025-1033 - [c13]Xiaoqing Liu, Jagath Samarabandu, Gregory J. Garvin, Rethy Chhem, Shuo Li:
A learning-based automatic spinal MRI segmentation. Image Processing 2008: 69143L - [c12]Ismail Ben Ayed, Shuo Li, Ali Islam, Gregory J. Garvin, Rethy Chhem:
Area prior constrained level set evolution for medical image segmentation. Image Processing 2008: 691402 - 2007
- [j4]Shuo Li, Thomas Fevens, Adam Krzyzak, Chao Jin, Song Li:
Semi-automatic computer aided lesion detection in dental X-rays using variational level set. Pattern Recognit. 40(10): 2861-2873 (2007) - [j3]Chao Jin, Thomas Fevens, Shuo Li, Sudhir P. Mudur:
Motion learning-based framework for unarticulated shape animation. Vis. Comput. 23(9-11): 753-761 (2007) - [c11]Shuo Li, Thomas Fevens, Adam Krzyzak, Chao Jin, Song Li:
Computer aided root lesion detection using level set and complex wavelets. Computer-Aided Diagnosis 2007: 65141M - [c10]Shuo Li, Ian G. Ross, Sukhdeep Gill, Terry M. Peters, Prakash Mahesh, Richard Rankin:
Computer-aided septal defect diagnosis and detection. Computer-Aided Diagnosis 2007: 65141A - [c9]Xiaoqing Liu, Jagath Samarabandu, Shuo Li, Ian G. Ross, Gregory J. Garvin:
A learning-based automatic clinical organ segmentation in medical images. Image Processing 2007: 65120Y - 2006
- [j2]Shuo Li, Thomas Fevens, Adam Krzyzak, Song Li:
An automatic variational level set segmentation framework for computer aided dental X-rays analysis in clinical environments. Comput. Medical Imaging Graph. 30(2): 65-74 (2006) - [j1]Shuo Li, Thomas Fevens, Adam Krzyzak, Song Li:
Automatic clinical image segmentation using pathological modeling, PCA and SVM. Eng. Appl. Artif. Intell. 19(4): 403-410 (2006) - [c8]Shuo Li, Thomas Fevens, Adam Krzyzak, Chao Jin, Song Li:
Fast and Robust Clinical Triple-Region Image Segmentation Using One Level Set Function. MICCAI (2) 2006: 766-773 - 2005
- [c7]Shuo Li, Thomas Fevens, Adam Krzyzak, Chao Jin, Song Li:
Toward Automatic Computer Aided Dental X-ray Analysis Using Level Set Method. MICCAI 2005: 670-678 - [c6]Shuo Li, Thomas Fevens, Adam Krzyzak, Song Li:
A level set segmentation for computer-aided dental x-ray analysis. Image Processing 2005 - [c5]Shuo Li, Thomas Fevens, Adam Krzyzak, Song Li:
Automatic Clinical Image Segmentation Using Pathological Modelling, PCA and SVM. MLDM 2005: 314-324 - [c4]Qingxiao Wu, Shuo Li, Yingming Hao, Feng Zhu:
A model-based monocular vision system for station keeping of an underwater vehicle. ROBIO 2005: 450-454 - [c3]Chao Jin, Thomas Fevens, Shuo Li, Sudhir P. Mudur:
Feature Preserving Volumetric Data Simplification for Application in Medical Imaging. WSCG (Full Papers) 2005: 235-242 - 2004
- [c2]Shuo Li, Thomas Fevens, Adam Krzyzak:
A SVM-based framework for autonomous volumetric medical image segmentation using hierarchical and coupled level sets. CARS 2004: 207-212 - [c1]Shuo Li, Thomas Fevens, Adam Krzyzak:
Image Segmentation Adapted for Clinical Settings by Combining Pattern Classification and Level Sets. MICCAI (1) 2004: 160-167
Coauthor Index
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