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ORCIDXiaomeng Li 0001
Person information
- affiliation: Hong Kong University of Science and Technology, Hong Kong
- affiliation (former): Stanford University, Department of Radiation Oncology, Palo Alto, CA, USA
- affiliation (PhD 2019): Chinese University of Hong Kong, Department of Computer Science and Engineering, Hong Kong
- affiliation (former): Xidian University, Shaanxi, China
Other persons with the same name
- Xiaomeng Li — disambiguation page
- Xiaomeng Li 0002
![[0000-0003-2129-1671]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0003-2129-1671")
— Queensland University of Technology, CARRS-Q, Institute of Health and Biomedical Innovation, IHBI, Australia - Xiaomeng Li 0003 — Beijing Normal University, School of Systems Science, China
- Xiaomeng Li 0004 — Jilin University, College of Communication Engineering, Changchun, China
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2020 – today
- 2025
[j37]Jieyun Bai, Zihao Zhou, Zhanhong Ou, Gregor Köhler, Raphael Stock, Klaus H. Maier-Hein, Marawan Elbatel, Robert Martí, Xiaomeng Li, Yaoyang Qiu, Panjie Gou, Gongping Chen, Lei Zhao, Jianxun Zhang, Yu Dai, Fangyijie Wang, Guénolé Silvestre, Kathleen M. Curran, Hongkun Sun, Jing Xu, Pengzhou Cai, Lu Jiang, Libin Lan, Dong Ni, Mei Zhong, Gaowen Chen, Víctor M. Campello, Yaosheng Lu, Karim Lekadir:
PSFHS challenge report: Pubic symphysis and fetal head segmentation from intrapartum ultrasound images. Medical Image Anal. 99: 103353 (2025)- [j36]Jiawei Zhang, Yanchun Zhang, Hailong Qiu, Tianchen Wang, Xiaomeng Li, Shanfeng Zhu, Meiping Huang, Jian Zhuang, Yiyu Shi, Xiaowei Xu:
Constrained multi-scale dense connections for biomedical image segmentation. Pattern Recognit. 158: 111031 (2025) - 2024
- [j35]Kendall Schmidt, Benjamin Bearce, Ken Chang, Laura Coombs, Keyvan Farahani, Marawan Elbatel, Kaouther Mouheb, Robert Marti, Ruipeng Zhang, Ya Zhang, Yanfeng Wang, Yaojun Hu, Haochao Ying, Yuyang Xu, Conrad Testagrose, Mutlu Demirer, Vikash Gupta, Ünal Akünal, Markus Bujotzek, Klaus H. Maier-Hein, Yi Qin, Xiaomeng Li, Jayashree Kalpathy-Cramer, Holger R. Roth:
Fair evaluation of federated learning algorithms for automated breast density classification: The results of the 2022 ACR-NCI-NVIDIA federated learning challenge. Medical Image Anal. 95: 103206 (2024) - [j34]Shuhan Li, Dong Zhang, Xiaomeng Li, Chubin Ou, Lin An, Yanwu Xu, Weihua Yang, Yanchun Zhang, Kwang-Ting Cheng:
Vessel-promoted OCT to OCTA image translation by heuristic contextual constraints. Medical Image Anal. 98: 103311 (2024) - [j33]Xingbo Dong, Jiewen Yang, Andrew Beng Jin Teoh, Dahai Yu, Xiaomeng Li, Zhe Jin:
Video-based face outline recognition. Pattern Recognit. 152: 110482 (2024) - [j32]Yiqun Lin, Liang Pan, Yi Li, Ziwei Liu, Xiaomeng Li:
Exploiting Hierarchical Interactions for Protein Surface Learning. IEEE J. Biomed. Health Informatics 28(4): 1927-1936 (2024) - [j31]Chuang Zhao, Hongke Zhao, Xiaomeng Li, Ming He, Jiahui Wang, Jianping Fan:
Cross-Domain Recommendation via Progressive Structural Alignment. IEEE Trans. Knowl. Data Eng. 36(6): 2401-2415 (2024) - [j30]Chuang Zhao, Hongke Zhao, Xiaofang Zhou, Xiaomeng Li:
Enhancing Precision Drug Recommendations via In-Depth Exploration of Motif Relationships. IEEE Trans. Knowl. Data Eng. 36(12): 8164-8178 (2024) - [j29]Marawan Elbatel, Robert Martí, Xiaomeng Li:
FoPro-KD: Fourier Prompted Effective Knowledge Distillation for Long-Tailed Medical Image Recognition. IEEE Trans. Medical Imaging 43(3): 954-965 (2024) - [j28]Huimin Wu, Xiaomeng Li, Kwang-Ting Cheng:
Exploring Feature Representation Learning for Semi-Supervised Medical Image Segmentation. IEEE Trans. Neural Networks Learn. Syst. 35(11): 16589-16601 (2024) - [c45]Yiqun Lin, Jiewen Yang, Hualiang Wang, Xinpeng Ding, Wei Zhao, Xiaomeng Li:
C2RV: Cross-Regional and Cross-View Learning for Sparse-View CBCT Reconstruction. CVPR 2024: 11205-11214 - [c44]Bin Pu, Liwen Wang, Jiewen Yang, Guannan He, Xingbo Dong, Shengli Li, Ying Tan, Ming Chen, Zhe Jin, Kenli Li, Xiaomeng Li:
M3-UDA: A New Benchmark for Unsupervised Domain Adaptive Fetal Cardiac Structure Detection. CVPR 2024: 11621-11630 - [c43]Xinpeng Ding, Jianhua Han, Hang Xu, Xiaodan Liang, Wei Zhang, Xiaomeng Li:
Holistic Autonomous Driving Understanding by Bird'View Injected Multi-Modal Large Models. CVPR 2024: 13668-13677 - [c42]Yao Du, Qiang Zhai, Weihang Dai, Xiaomeng Li:
Teach CLIP to Develop a Number Sense for Ordinal Regression. ECCV (85) 2024: 1-17 - [c41]Jiewen Yang, Yiqun Lin, Bin Pu, Jiarong Guo, Xiaowei Xu, Xiaomeng Li:
CardiacNet: Learning to Reconstruct Abnormalities for Cardiac Disease Assessment from Echocardiogram Videos. ECCV (23) 2024: 293-311 - [c40]Chenyi Zhou, Hualiang Wang, Xiaomeng Li, Wanlu Liu, Zuozhu Liu:
Multimodal Survival Ensemble Network: Integrating Genomic and Histopathological Insights for Enhanced Cancer Prognosis. ICASSP 2024: 2330-2334 - [c39]Bin Pu, Xingguo Lv, Jiewen Yang, Guannan He, Xingbo Dong, Yiqun Lin, Shengli Li, Tan Ying, Fei Liu, Ming Chen, Zhe Jin, Kenli Li, Xiaomeng Li:
Unsupervised Domain Adaptation for Anatomical Structure Detection in Ultrasound Images. ICML 2024 - [c38]Yi Li, Qixiang Zhang, Tianqi Xiang, Yiqun Lin, Qingling Zhang, Xiaomeng Li:
Few-Shot Lymph Node Metastasis Classification Meets High Performance on Whole Slide Images via the Informative Non-parametric Classifier. MICCAI (12) 2024: 109-119 - [c37]Yiqun Lin, Hualiang Wang, Jixiang Chen, Xiaomeng Li:
Learning 3D Gaussians for Extremely Sparse-View Cone-Beam CT Reconstruction. MICCAI (7) 2024: 425-435 - [c36]Xinpeng Ding, Yongqiang Chu, Renjie Pi, Hualiang Wang, Xiaomeng Li:
HiA: Towards Chinese Multimodal LLMs for Comparative High-Resolution Joint Diagnosis. MICCAI (12) 2024: 575-586 - [c35]Hualiang Wang, Yiqun Lin, Xinpeng Ding, Xiaomeng Li:
Tri-Plane Mamba: Efficiently Adapting Segment Anything Model for 3D Medical Images. MICCAI (9) 2024: 636-646 - [c34]Marawan Elbatel, Konstantinos Kamnitsas, Xiaomeng Li:
An Organism Starts with a Single Pix-Cell: A Neural Cellular Diffusion for High-Resolution Image Synthesis. MICCAI (1) 2024: 656-666 - [c33]Jixiang Chen, Yiqun Lin, Haoran Sun, Xiaomeng Li:
Spatial-Division Augmented Occupancy Field for Bone Shape Reconstruction from Biplanar X-Rays. MICCAI (7) 2024: 668-678 - [i66]Xinpeng Ding, Jianhua Han, Hang Xu, Xiaodan Liang, Wei Zhang, Xiaomeng Li:
Holistic Autonomous Driving Understanding by Bird's-Eye-View Injected Multi-Modal Large Models. CoRR abs/2401.00988 (2024) - [i65]Yiqun Lin, Liang Pan, Yi Li, Ziwei Liu, Xiaomeng Li:
Exploiting Hierarchical Interactions for Protein Surface Learning. CoRR abs/2401.10144 (2024) - [i64]Kendall Schmidt, Ben Bearce, Ken Chang, Laura Coombs, Keyvan Farahani, Marawan Elbatel, Kaouther Mouheb, Robert Marti, Ruipeng Zhang, Yao Zhang, Yanfeng Wang, Yaojun Hu, Haochao Ying, Yuyang Xu, Conrad Testagrose, Mutlu Demirer, Vikash Gupta, Ünal Akünal, Markus Bujotzek, Klaus H. Maier-Hein, Yi Qin, Xiaomeng Li, Jayashree Kalpathy-Cramer, Holger R. Roth:
Fair Evaluation of Federated Learning Algorithms for Automated Breast Density Classification: The Results of the 2022 ACR-NCI-NVIDIA Federated Learning Challenge. CoRR abs/2405.14900 (2024) - [i63]Yiqun Lin, Jiewen Yang, Hualiang Wang, Xinpeng Ding, Wei Zhao, Xiaomeng Li:
C^2RV: Cross-Regional and Cross-View Learning for Sparse-View CBCT Reconstruction. CoRR abs/2406.03902 (2024) - [i62]Chuang Zhao, Hongke Zhao, Ming He, Xiaomeng Li, Jianping Fan:
Cross-domain Transfer of Valence Preferences via a Meta-optimization Approach. CoRR abs/2406.16494 (2024) - [i61]Marawan Elbatel, Konstantinos Kamnitsas, Xiaomeng Li:
An Organism Starts with a Single Pix-Cell: A Neural Cellular Diffusion for High-Resolution Image Synthesis. CoRR abs/2407.03018 (2024) - [i60]Muhammad Alberb, Marawan Elbatel, Aya Elgebaly, Ricardo Montoya-del-Angel, Xiaomeng Li, Robert Martí:
CoMoTo: Unpaired Cross-Modal Lesion Distillation Improves Breast Lesion Detection in Tomosynthesis. CoRR abs/2407.17620 (2024) - [i59]Yao Du, Qiang Zhai, Weihang Dai, Xiaomeng Li:
Teach CLIP to Develop a Number Sense for Ordinal Regression. CoRR abs/2408.03574 (2024) - [i58]Hualiang Wang, Yiqun Lin, Xinpeng Ding, Xiaomeng Li:
Tri-Plane Mamba: Efficiently Adapting Segment Anything Model for 3D Medical Images. CoRR abs/2409.08492 (2024) - [i57]Jieyun Bai, Zihao Zhou, Zhanhong Ou, Gregor Köhler, Raphael Stock, Klaus H. Maier-Hein, Marawan Elbatel, Robert Martí, Xiaomeng Li, Yaoyang Qiu, Panjie Gou, Gongping Chen, Lei Zhao, Jianxun Zhang, Yu Dai, Fangyijie Wang, Guénolé Silvestre, Kathleen M. Curran, Hongkun Sun, Jing Xu, Pengzhou Cai, Lu Jiang, Libin Lan, Dong Ni, Mei Zhong, Gaowen Chen, Víctor M. Campello, Yaosheng Lu, Karim Lekadir:
PSFHS Challenge Report: Pubic Symphysis and Fetal Head Segmentation from Intrapartum Ultrasound Images. CoRR abs/2409.10980 (2024) - [i56]Chuang Zhao, Xing Su, Ming He, Hongke Zhao, Jianping Fan, Xiaomeng Li:
Collaborative Knowledge Fusion: A Novel Approach for Multi-task Recommender Systems via LLMs. CoRR abs/2410.20642 (2024) - [i55]Jiewen Yang, Yiqun Lin, Bin Pu, Xiaomeng Li:
Bidirectional Recurrence for Cardiac Motion Tracking with Gaussian Process Latent Coding. CoRR abs/2410.20752 (2024) - [i54]Jiewen Yang, Yiqun Lin, Bin Pu, Jiarong Guo, Xiaowei Xu, Xiaomeng Li:
CardiacNet: Learning to Reconstruct Abnormalities for Cardiac Disease Assessment from Echocardiogram Videos. CoRR abs/2410.20769 (2024) - 2023
- [j27]An Zeng, Chunbiao Wu, Guisen Lin, Wen Xie, Jin Hong, Meiping Huang, Jian Zhuang, Shanshan Bi, Dan Pan, Najeeb Ullah, Kaleem Nawaz Khan, Tianchen Wang, Yiyu Shi, Xiaomeng Li, Xiaowei Xu:
ImageCAS: A large-scale dataset and benchmark for coronary artery segmentation based on computed tomography angiography images. Comput. Medical Imaging Graph. 109: 102287 (2023) - [j26]Patrick Bilic, Patrick Ferdinand Christ, Hongwei Li, Eugene Vorontsov, Avi Ben-Cohen, Georgios Kaissis, Adi Szeskin, Colin Jacobs, Gabriel Efrain Humpire Mamani, Gabriel Chartrand, Fabian Lohöfer, Julian Walter Holch, Wieland H. Sommer, Felix Hofmann, Alexandre Hostettler, Naama Lev-Cohain, Michal Drozdzal, Michal Marianne Amitai, Refael Vivanti, Jacob Sosna, Ivan Ezhov, Anjany Sekuboyina, Fernando Navarro, Florian Kofler, Johannes C. Paetzold, Suprosanna Shit, Xiaobin Hu, Jana Lipková, Markus Rempfler, Marie Piraud, Jan Kirschke, Benedikt Wiestler, Zhiheng Zhang, Christian Hülsemeyer, Marcel Beetz, Florian Ettlinger, Michela Antonelli, Woong Bae, Miriam Bellver, Lei Bi, Hao Chen, Grzegorz Chlebus, Erik B. Dam, Qi Dou, Chi-Wing Fu, Bogdan Georgescu, Xavier Giró-i-Nieto, Felix Grün, Xu Han, Pheng-Ann Heng, Jürgen Hesser, Jan Hendrik Moltz, Christian Igel, Fabian Isensee, Paul Jäger, Fucang Jia, Krishna Chaitanya Kaluva, Mahendra Khened, Ildoo Kim, Jae-Hun Kim, Sungwoong Kim, Simon Kohl, Tomasz K. Konopczynski, Avinash Kori, Ganapathy Krishnamurthi, Fan Li, Hongchao Li, Junbo Li, Xiaomeng Li, John S. Lowengrub, Jun Ma, Klaus H. Maier-Hein, Kevis-Kokitsi Maninis, Hans Meine, Dorit Merhof, Akshay Pai, Mathias Perslev, Jens Petersen, Jordi Pont-Tuset, Jin Qi, Xiaojuan Qi, Oliver Rippel, Karsten Roth, Ignacio Sarasua, Andrea Schenk, Zengming Shen, Jordi Torres, Christian Wachinger, Chunliang Wang, Leon Weninger, Jianrong Wu, Daguang Xu, Xiaoping Yang, Simon Chun-Ho Yu, Yading Yuan, Miao Yue, Liping Zhang, Manuel Jorge Cardoso, Spyridon Bakas, Rickmer Braren, Volker Heinemann, Christopher Pal, An Tang, Samuel Kadoury, Luc Soler, Bram van Ginneken, Hayit Greenspan, Leo Joskowicz, Bjoern H. Menze:
The Liver Tumor Segmentation Benchmark (LiTS). Medical Image Anal. 84: 102680 (2023) - [j25]Xiaowei Xu, Qianjun Jia, Haiyun Yuan, Hailong Qiu, Yuhao Dong, Wen Xie, Zeyang Yao, Jiawei Zhang, Zhiqaing Nie, Xiaomeng Li, Yiyu Shi, James Y. Zou, Meiping Huang, Jian Zhuang:
A clinically applicable AI system for diagnosis of congenital heart diseases based on computed tomography images. Medical Image Anal. 90: 102953 (2023) - [j24]Zhenkun Wang, Shuangchun Gui, Xinpeng Ding, Xiaowei Hu, Xiaowei Xu, Xiaomeng Li:
Spectrum and Style Transformation Framework for Omni-Domain COVID-19 Diagnosis. IEEE Trans. Emerg. Top. Comput. Intell. 7(5): 1527-1538 (2023) - [j23]Xiaomeng Li, Yi Wang, Hulin Ruan, Baoping Tang, Yi Qin:
Deep Manifold Learning for Weak Signal Detection. IEEE Trans. Instrum. Meas. 72: 1-10 (2023) - [j22]Weihang Dai, Xiaomeng Li, Xinpeng Ding, Kwang-Ting Cheng:
Cyclical Self-Supervision for Semi-Supervised Ejection Fraction Prediction From Echocardiogram Videos. IEEE Trans. Medical Imaging 42(5): 1446-1461 (2023) - [j21]Xinpeng Ding, Xinjian Yan, Zixun Wang, Wei Zhao, Jian Zhuang, Xiaowei Xu, Xiaomeng Li:
Less Is More: Surgical Phase Recognition From Timestamp Supervision. IEEE Trans. Medical Imaging 42(6): 1897-1910 (2023) - [j20]Huimin Wu, Xiaomeng Li, Yiqun Lin, Kwang-Ting Cheng:
Compete to Win: Enhancing Pseudo Labels for Barely-Supervised Medical Image Segmentation. IEEE Trans. Medical Imaging 42(11): 3244-3255 (2023) - [c32]Weihang Dai, Xiaomeng Li, Kwang-Ting Cheng:
Semi-Supervised Deep Regression with Uncertainty Consistency and Variational Model Ensembling via Bayesian Neural Networks. AAAI 2023: 7304-7313 - [c31]Hualiang Wang, Yi Li, Huifeng Yao, Xiaomeng Li:
CLIPN for Zero-Shot OOD Detection: Teaching CLIP to Say No. ICCV 2023: 1802-1812 - [c30]Jiewen Yang, Xinpeng Ding, Ziyang Zheng, Xiaowei Xu, Xiaomeng Li:
GraphEcho: Graph-Driven Unsupervised Domain Adaptation for Echocardiogram Video Segmentation. ICCV 2023: 11844-11853 - [c29]Yiqun Lin, Zhongjin Luo, Wei Zhao, Xiaomeng Li:
Learning Deep Intensity Field for Extremely Sparse-View CBCT Reconstruction. MICCAI (10) 2023: 13-23 - [c28]Xinpeng Ding, Xiaowei Xu, Xiaomeng Li:
SEDSkill: Surgical Events Driven Method for Skill Assessment from Thoracoscopic Surgical Videos. MICCAI (9) 2023: 35-45 - [c27]Ziyang Zheng, Jiewen Yang, Xinpeng Ding, Xiaowei Xu, Xiaomeng Li:
GL-Fusion: Global-Local Fusion Network for Multi-view Echocardiogram Video Segmentation. MICCAI (4) 2023: 78-88 - [c26]Weihang Dai, Xiaomeng Li, Taihui Yu, Di Zhao, Jun Shen, Kwang-Ting Cheng:
Radiomics-Informed Deep Learning for Classification of Atrial Fibrillation Sub-Types from Left-Atrium CT Volumes. MICCAI (7) 2023: 153-162 - [c25]Marawan Elbatel, Hualiang Wang, Robert Martí, Huazhu Fu, Xiaomeng Li:
Federated Model Aggregation via Self-supervised Priors for Highly Imbalanced Medical Image Classification. ISIC/Care-AI/MedAGI/DeCaF@MICCAI 2023: 334-346 - [c24]Zheang Huai, Xinpeng Ding, Yi Li, Xiaomeng Li:
Context-Aware Pseudo-label Refinement for Source-Free Domain Adaptive Fundus Image Segmentation. MICCAI (7) 2023: 618-628 - [c23]Lehan Wang, Weihang Dai, Mei Jin, Chubin Ou, Xiaomeng Li:
Fundus-Enhanced Disease-Aware Distillation Model for Retinal Disease Classification from OCT Images. MICCAI (7) 2023: 639-648 - [c22]Jianhong Bai, Zuozhu Liu, Hualiang Wang, Ruizhe Chen, Lianrui Mu, Xiaomeng Li, Joey Tianyi Zhou, Yang Feng, Jian Wu, Haoji Hu:
Towards Distribution-Agnostic Generalized Category Discovery. NeurIPS 2023 - [c21]Weihang Dai, Yao Du, Hanru Bai, Kwang-Ting Cheng, Xiaomeng Li:
Semi-Supervised Contrastive Learning for Deep Regression with Ordinal Rankings from Spectral Seriation. NeurIPS 2023 - [c20]Tianqi Xiang, Wenjun Yue, Yiqun Lin, Jiewen Yang, Zhenkun Wang, Xiaomeng Li:
DiffCMR: Fast Cardiac MRI Reconstruction with Diffusion Probabilistic Models. STACOM@MICCAI 2023: 380-389 - [c19]Xunguang Wang, Yiqun Lin, Xiaomeng Li:
CgAT: Center-Guided Adversarial Training for Deep Hashing-Based Retrieval. WWW 2023: 3268-3277 - [e2]Jonghye Woo, Alessa Hering, Wilson Silva, Xiang Li, Huazhu Fu, Xiaofeng Liu, Fangxu Xing, Sanjay Purushotham, Tejas Sudharshan Mathai, Pritam Mukherjee, Max De Grauw, Regina Beets-Tan, Valentina Corbetta, Elmar Kotter, Mauricio Reyes, Christian F. Baumgartner, Quanzheng Li, Richard M. Leahy, Bin Dong, Hao Chen, Yuankai Huo, Jinglei Lv, Xinxing Xu, Xiaomeng Li, Dwarikanath Mahapatra, Li Cheng, Caroline Petitjean, Benoît Presles:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops - MTSAIL 2023, LEAF 2023, AI4Treat 2023, MMMI 2023, REMIA 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8-12, 2023, Proceedings. Lecture Notes in Computer Science 14394, Springer 2023, ISBN 978-3-031-47424-8 [contents] - [i53]Weihang Dai, Xiaomeng Li, Kwang-Ting Cheng:
Semi-Supervised Deep Regression with Uncertainty Consistency and Variational Model Ensembling via Bayesian Neural Networks. CoRR abs/2302.07579 (2023) - [i52]Yiqun Lin, Zhongjin Luo, Wei Zhao, Xiaomeng Li:
Learning Deep Intensity Field for Extremely Sparse-View CBCT Reconstruction. CoRR abs/2303.06681 (2023) - [i51]Shuhan Li, Dong Zhang, Xiaomeng Li, Chubin Ou, Lin An, Yanwu Xu, Kwang-Ting Cheng:
Vessel-Promoted OCT to OCTA Image Translation by Heuristic Contextual Constraints. CoRR abs/2303.06807 (2023) - [i50]Yi Li, Hualiang Wang, Yiqun Duan, Xiaomeng Li:
CLIP Surgery for Better Explainability with Enhancement in Open-Vocabulary Tasks. CoRR abs/2304.05653 (2023) - [i49]Huimin Wu, Xiaomeng Li, Yiqun Lin, Kwang-Ting Cheng:
Compete to Win: Enhancing Pseudo Labels for Barely-supervised Medical Image Segmentation. CoRR abs/2304.07519 (2023) - [i48]Marawan Elbatel, Robert Martí, Xiaomeng Li:
FoPro-KD: Fourier Prompted Effective Knowledge Distillation for Long-Tailed Medical Image Recognition. CoRR abs/2305.17421 (2023) - [i47]Yi Qin, Xiaomeng Li:
FSDiffReg: Feature-wise and Score-wise Diffusion-guided Unsupervised Deformable Image Registration for Cardiac Images. CoRR abs/2307.12035 (2023) - [i46]Marawan Elbatel, Hualiang Wang, Robert Martí, Huazhu Fu, Xiaomeng Li:
Federated Model Aggregation via Self-Supervised Priors for Highly Imbalanced Medical Image Classification. CoRR abs/2307.14959 (2023) - [i45]Lehan Wang, Weihang Dai, Mei Jin, Chubin Ou, Xiaomeng Li:
Fundus-Enhanced Disease-Aware Distillation Model for Retinal Disease Classification from OCT Images. CoRR abs/2308.00291 (2023) - [i44]Weihang Dai, Xiaomeng Li, Taihui Yu, Di Zhao, Jun Shen, Kwang-Ting Cheng:
Radiomics-Informed Deep Learning for Classification of Atrial Fibrillation Sub-Types from Left-Atrium CT Volumes. CoRR abs/2308.06933 (2023) - [i43]Zheang Huai, Xinpeng Ding, Yi Li, Xiaomeng Li:
Context-Aware Pseudo-Label Refinement for Source-Free Domain Adaptive Fundus Image Segmentation. CoRR abs/2308.07731 (2023) - [i42]Hualiang Wang, Yi Li, Huifeng Yao, Xiaomeng Li:
CLIPN for Zero-Shot OOD Detection: Teaching CLIP to Say No. CoRR abs/2308.12213 (2023) - [i41]Xinpeng Ding, Jianhua Han, Hang Xu, Wei Zhang, Xiaomeng Li:
HiLM-D: Towards High-Resolution Understanding in Multimodal Large Language Models for Autonomous Driving. CoRR abs/2309.05186 (2023) - [i40]Ziyang Zheng, Jiewen Yang, Xinpeng Ding, Xiaowei Xu, Xiaomeng Li:
GL-Fusion: Global-Local Fusion Network for Multi-view Echocardiogram Video Segmentation. CoRR abs/2309.11144 (2023) - [i39]Jiewen Yang, Xinpeng Ding, Ziyang Zheng, Xiaowei Xu, Xiaomeng Li:
GraphEcho: Graph-Driven Unsupervised Domain Adaptation for Echocardiogram Video Segmentation. CoRR abs/2309.11145 (2023) - [i38]Jianhong Bai, Zuozhu Liu, Hualiang Wang, Ruizhe Chen, Lianrui Mu, Xiaomeng Li, Joey Tianyi Zhou, Yang Feng, Jian Wu, Haoji Hu:
Towards Distribution-Agnostic Generalized Category Discovery. CoRR abs/2310.01376 (2023) - [i37]Tianqi Xiang, Wenjun Yue, Yiqun Lin, Jiewen Yang, Zhenkun Wang, Xiaomeng Li:
DiffCMR: Fast Cardiac MRI Reconstruction with Diffusion Probabilistic Models. CoRR abs/2312.04853 (2023) - 2022
- [j19]Chenyu Lian, Xiaomeng Li, Lingke Kong, Jiacheng Wang, Wei Zhang, Xiaoyang Huang, Liansheng Wang:
CoCycleReg: Collaborative cycle-consistency method for multi-modal medical image registration. Neurocomputing 500: 799-808 (2022) - [j18]Guangyao Zhang, Yi Wang, Xiaomeng Li, Yi Qin, Baoping Tang:
Dynamic Evaluation of Degradation Space Variation for Machine Condition Monitoring. IEEE Trans. Instrum. Meas. 71: 1-10 (2022) - [j17]Xinpeng Ding, Nannan Wang, Shiwei Zhang, Ziyuan Huang, Xiaomeng Li, Mingqian Tang, Tongliang Liu, Xinbo Gao:
Exploring Language Hierarchy for Video Grounding. IEEE Trans. Image Process. 31: 4693-4706 (2022) - [j16]Weihang Dai, Xiaomeng Li, Wan Hang Keith Chiu, Michael David Kuo, Kwang-Ting Cheng:
Adaptive Contrast for Image Regression in Computer-Aided Disease Assessment. IEEE Trans. Medical Imaging 41(5): 1255-1268 (2022) - [j15]Xinpeng Ding, Xiaomeng Li:
Exploring Segment-Level Semantics for Online Phase Recognition From Surgical Videos. IEEE Trans. Medical Imaging 41(11): 3309-3319 (2022) - [c18]Yi Li, Yiqun Duan, Zhanghui Kuang, Yimin Chen, Wayne Zhang, Xiaomeng Li:
Uncertainty Estimation via Response Scaling for Pseudo-Mask Noise Mitigation in Weakly-Supervised Semantic Segmentation. AAAI 2022: 1447-1455 - [c17]Jiacheng Wang, Xiaomeng Li, Yiming Han, Jing Qin, Liansheng Wang, Qichao Zhou:
Separated Contrastive Learning for Organ-at-Risk and Gross-Tumor-Volume Segmentation with Limited Annotation. AAAI 2022: 2459-2467 - [c16]Huifeng Yao, Xiaowei Hu, Xiaomeng Li:
Enhancing Pseudo Label Quality for Semi-supervised Domain-Generalized Medical Image Segmentation. AAAI 2022: 3099-3107 - [c15]Xiaoxiao Liang, Yiqun Lin, Huazhu Fu, Lei Zhu, Xiaomeng Li:
RSCFed: Random Sampling Consensus Federated Semi-supervised Learning. CVPR 2022: 10144-10153 - [c14]Xinpeng Ding, Jingwen Yang, Xiaowei Hu, Xiaomeng Li:
Learning Shadow Correspondence for Video Shadow Detection. ECCV (17) 2022: 705-722 - [c13]Yiqun Lin, Huifeng Yao, Zezhong Li, Guoyan Zheng, Xiaomeng Li:
Calibrating Label Distribution for Class-Imbalanced Barely-Supervised Knee Segmentation. MICCAI (8) 2022: 109-118 - [c12]Xinpeng Ding, Ziwei Liu, Xiaomeng Li:
Free Lunch for Surgical Video Understanding by Distilling Self-supervisions. MICCAI (8) 2022: 365-375 - [c11]Yi Li, Yiduo Yu, Yiwen Zou, Tianqi Xiang, Xiaomeng Li:
Online Easy Example Mining for Weakly-Supervised Gland Segmentation from Histology Images. MICCAI (4) 2022: 578-587 - [c10]Wanqin Ma, Huifeng Yao, Yiqun Lin, Jiarong Guo, Xiaomeng Li:
Semi-supervised Domain Generalization for Cardiac Magnetic Resonance Image Segmentation with High Quality Pseudo Labels. STACOM@MICCAI 2022: 383-391 - [e1]Xinxing Xu, Xiaomeng Li, Dwarikanath Mahapatra, Li Cheng, Caroline Petitjean, Huazhu Fu:
Resource-Efficient Medical Image Analysis - First MICCAI Workshop, REMIA 2022, Singapore, September 22, 2022, Proceedings. Lecture Notes in Computer Science 13543, Springer 2022, ISBN 978-3-031-16875-8 [contents] - [i36]Huifeng Yao, Xiaowei Hu, Xiaomeng Li:
Enhancing Pseudo Label Quality for Semi-SupervisedDomain-Generalized Medical Image Segmentation. CoRR abs/2201.08657 (2022) - [i35]Zixun Wang, Xinpeng Ding, Wei Zhao, Xiaomeng Li:
Less is More: Surgical Phase Recognition from Timestamp Supervision. CoRR abs/2202.08199 (2022) - [i34]Xiaoxiao Liang, Yiqun Lin, Huazhu Fu, Lei Zhu, Xiaomeng Li:
RSCFed: Random Sampling Consensus Federated Semi-supervised Learning. CoRR abs/2203.13993 (2022) - [i33]Chu Han, Xipeng Pan, Lixu Yan, Huan Lin, Bingbing Li, Su Yao, Shanshan Lv, Zhenwei Shi, Jinhai Mai, Jiatai Lin, Bingchao Zhao, Zeyan Xu, Zhizhen Wang, Yumeng Wang, Yuan Zhang, Huihui Wang, Chao Zhu, Chunhui Lin, Lijian Mao, Min Wu, Luwen Duan, Jingsong Zhu, Dong Hu, Zijie Fang, Yang Chen, Yongbing Zhang, Yi Li, Yiwen Zou, Yiduo Yu, Xiaomeng Li, Haiming Li, Yanfen Cui, Guoqiang Han, Yan Xu, Jun Xu, Huihua Yang, Chunming Li, Zhenbing Liu, Cheng Lu, Xin Chen, Changhong Liang, Qingling Zhang, Zaiyi Liu:
WSSS4LUAD: Grand Challenge on Weakly-supervised Tissue Semantic Segmentation for Lung Adenocarcinoma. CoRR abs/2204.06455 (2022) - [i32]Yiqun Lin, Huifeng Yao, Zezhong Li, Guoyan Zheng, Xiaomeng Li:
Calibrating Label Distribution for Class-Imbalanced Barely-Supervised Knee Segmentation. CoRR abs/2205.03644 (2022) - [i31]Xinpeng Ding, Ziwei Liu, Xiaomeng Li:
Free Lunch for Surgical Video Understanding by Distilling Self-Supervisions. CoRR abs/2205.09292 (2022) - [i30]Yi Li, Yiduo Yu, Yiwen Zou, Tianqi Xiang, Xiaomeng Li:
Online Easy Example Mining for Weakly-supervised Gland Segmentation from Histology Images. CoRR abs/2206.06665 (2022) - [i29]Shuhan Li, Xiaomeng Li, Xiaowei Xu, Kwang-Ting Cheng:
Sub-cluster-aware Network for Few-shot Skin Disease Classification. CoRR abs/2207.01072 (2022) - [i28]Xinpeng Ding, Jingweng Yang, Xiaowei Hu, Xiaomeng Li:
Learning Shadow Correspondence for Video Shadow Detection. CoRR abs/2208.00150 (2022) - [i27]Yi Li, Hualiang Wang, Yiqun Duan, Hang Xu, Xiaomeng Li:
Exploring Visual Interpretability for Contrastive Language-Image Pre-training. CoRR abs/2209.07046 (2022) - [i26]Wanqin Ma, Huifeng Yao, Yiqun Lin, Jiarong Guo, Xiaomeng Li:
Semi-Supervised Domain Generalization for Cardiac Magnetic Resonance Image Segmentation with High Quality Pseudo Labels. CoRR abs/2209.15451 (2022) - [i25]Xiaomeng Li, Hongyu Ren, Huifeng Yao, Ziwei Liu:
TripleE: Easy Domain Generalization via Episodic Replay. CoRR abs/2210.01807 (2022) - [i24]Weihang Dai, Xiaomeng Li, Xinpeng Ding, Kwang-Ting Cheng:
Cyclical Self-Supervision for Semi-Supervised Ejection Fraction Prediction from Echocardiogram Videos. CoRR abs/2210.11291 (2022) - [i23]An Zeng, Chunbiao Wu, Meiping Huang, Jian Zhuang, Shanshan Bi, Dan Pan, Najeeb Ullah, Kaleem Nawaz Khan, Tianchen Wang, Yiyu Shi, Xiaomeng Li, Guisen Lin, Xiaowei Xu:
ImageCAS: A Large-Scale Dataset and Benchmark for Coronary Artery Segmentation based on Computed Tomography Angiography Images. CoRR abs/2211.01607 (2022) - 2021
- [j14]Cheng Xue, Lei Zhu, Huazhu Fu, Xiaowei Hu, Xiaomeng Li, Hai Zhang, Pheng-Ann Heng:
Global guidance network for breast lesion segmentation in ultrasound images. Medical Image Anal. 70: 101989 (2021) - [j13]Liansheng Wang, Rongzhen Chen, Lei Zhu, Haoran Xie, Xiaomeng Li:
Deep Sub-Region Network for Salient Object Detection. IEEE Trans. Circuits Syst. Video Technol. 31(2): 728-741 (2021) - [j12]Hulin Ruan, Yi Wang, Xiaomeng Li, Yi Qin, Baoping Tang, Ping Wang:
A Relation-Based Semisupervised Method for Gearbox Fault Diagnosis With Limited Labeled Samples. IEEE Trans. Instrum. Meas. 70: 1-13 (2021) - [j11]Lequan Yu, Zhicheng Zhang, Xiaomeng Li, Lei Xing:
Deep Sinogram Completion With Image Prior for Metal Artifact Reduction in CT Images. IEEE Trans. Medical Imaging 40(1): 228-238 (2021) - [j10]Xiaomeng Li, Xiaowei Hu, Xiaojuan Qi, Lequan Yu, Wei Zhao, Pheng-Ann Heng, Lei Xing:
Rotation-Oriented Collaborative Self-Supervised Learning for Retinal Disease Diagnosis. IEEE Trans. Medical Imaging 40(9): 2284-2294 (2021) - [j9]Hyunseok Seo, Lequan Yu, Hongyi Ren, Xiaomeng Li, Liyue Shen, Lei Xing:
Deep Neural Network With Consistency Regularization of Multi-Output Channels for Improved Tumor Detection and Delineation. IEEE Trans. Medical Imaging 40(12): 3369-3378 (2021) - [j8]Xiaomeng Li, Lequan Yu, Hao Chen, Chi-Wing Fu, Lei Xing, Pheng-Ann Heng:
Transformation-Consistent Self-Ensembling Model for Semisupervised Medical Image Segmentation. IEEE Trans. Neural Networks Learn. Syst. 32(2): 523-534 (2021) - [c9]Xinpeng Ding, Nannan Wang, Shiwei Zhang, De Cheng, Xiaomeng Li, Ziyuan Huang, Mingqian Tang, Xinbo Gao:
Support-Set Based Cross-Supervision for Video Grounding. ICCV 2021: 11553-11562 - [c8]Huifeng Yao, Ziyu Guo, Yatao Zhang, Xiaomeng Li:
Improved Heatmap-Based Landmark Detection. DGM4MICCAI/DALI@MICCAI 2021: 125-133 - [i22]Cheng Xue, Lei Zhu, Huazhu Fu, Xiaowei Hu, Xiaomeng Li, Hai Zhang, PhengAnn Heng:
Global Guidance Network for Breast Lesion Segmentation in Ultrasound Images. CoRR abs/2104.01896 (2021) - [i21]Cheng Xue, Qiao Deng, Xiaomeng Li, Qi Dou, Pheng-Ann Heng:
Cascaded Robust Learning at Imperfect Labels for Chest X-ray Segmentation. CoRR abs/2104.01975 (2021) - [i20]Xinpeng Ding, Nannan Wang, Shiwei Zhang, De Cheng, Xiaomeng Li, Ziyuan Huang, Mingqian Tang, Xinbo Gao:
Support-Set Based Cross-Supervision for Video Grounding. CoRR abs/2108.10576 (2021) - [i19]Lequan Yu, Zhicheng Zhang, Xiaomeng Li, Hongyi Ren, Wei Zhao, Lei Xing:
Metal Artifact Reduction in 2D CT Images with Self-supervised Cross-domain Learning. CoRR abs/2109.13483 (2021) - [i18]Huifeng Yao, Ziyu Guo, Yatao Zhang, Xiaomeng Li:
Improved Heatmap-based Landmark Detection. CoRR abs/2110.05676 (2021) - [i17]Huimin Wu, Xiaomeng Li, Kwang-Ting Cheng:
Exploring Feature Representation Learning for Semi-supervised Medical Image Segmentation. CoRR abs/2111.10989 (2021) - [i16]Xinpeng Ding, Xiaomeng Li:
Exploiting Segment-level Semantics for Online Phase Recognition from Surgical Videos. CoRR abs/2111.11044 (2021) - [i15]Jiacheng Wang, Xiaomeng Li, Yiming Han, Jing Qin, Liansheng Wang, Qichao Zhou:
Separated Contrastive Learning for Organ-at-Risk and Gross-Tumor-Volume Segmentation with Limited Annotation. CoRR abs/2112.02743 (2021) - [i14]Yi Li, Yiqun Duan, Zhanghui Kuang, Yimin Chen, Wayne Zhang, Xiaomeng Li:
Uncertainty Estimation via Response Scaling for Pseudo-mask Noise Mitigation in Weakly-supervised Semantic Segmentation. CoRR abs/2112.07431 (2021) - [i13]Weihang Dai, Xiaomeng Li, Wan Hang Keith Chiu, Michael David Kuo, Kwang-Ting Cheng:
Adaptive Contrast for Image Regression in Computer-Aided Disease Assessment. CoRR abs/2112.11700 (2021) - 2020
- [j7]Xiaomeng Li, Lequan Yu, Chi-Wing Fu, Meng Fang, Pheng-Ann Heng:
Revisiting metric learning for few-shot image classification. Neurocomputing 406: 49-58 (2020) - [j6]Huazhu Fu, Fei Li, Xu Sun, Xingxing Cao, Jingan Liao, José Ignacio Orlando, Xing Tao, Yuexiang Li, Shihao Zhang, Mingkui Tan, Chenglang Yuan, Cheng Bian, Ruitao Xie, Jiongcheng Li, Xiaomeng Li, Jing Wang, Le Geng, Panming Li, Yanwu Xu:
AGE challenge: Angle Closure Glaucoma Evaluation in Anterior Segment Optical Coherence Tomography. Medical Image Anal. 66: 101798 (2020) - [j5]Xiaomeng Li, Xiaowei Hu, Lequan Yu, Lei Zhu, Chi-Wing Fu, Pheng-Ann Heng:
CANet: Cross-Disease Attention Network for Joint Diabetic Retinopathy and Diabetic Macular Edema Grading. IEEE Trans. Medical Imaging 39(5): 1483-1493 (2020) - [j4]Xiaomeng Li, Mengyu Jia, Md Tauhidul Islam, Lequan Yu, Lei Xing:
Self-Supervised Feature Learning via Exploiting Multi-Modal Data for Retinal Disease Diagnosis. IEEE Trans. Medical Imaging 39(12): 4023-4033 (2020) - [c7]Xiaomeng Li, Lequan Yu, Yueming Jin, Chi-Wing Fu, Lei Xing, Pheng-Ann Heng:
Difficulty-Aware Meta-learning for Rare Disease Diagnosis. MICCAI (1) 2020: 357-366 - [c6]Cheng Xue, Qiao Deng, Xiaomeng Li, Qi Dou, Pheng-Ann Heng:
Cascaded Robust Learning at Imperfect Labels for Chest X-ray Segmentation. MICCAI (6) 2020: 579-588 - [i12]Huazhu Fu, Fei Li, Xu Sun, Xingxing Cao, Jingan Liao, José Ignacio Orlando, Xing Tao, Yuexiang Li, Shihao Zhang, Mingkui Tan, Chenglang Yuan, Cheng Bian, Ruitao Xie, Jiongcheng Li, Xiaomeng Li, Jing Wang, Le Geng, Panming Li, Huaying Hao, Jiang Liu, Yan Kong, Yongyong Ren, Hrvoje Bogunovic, Xiulan Zhang, Yanwu Xu:
AGE Challenge: Angle Closure Glaucoma Evaluation in Anterior Segment Optical Coherence Tomography. CoRR abs/2005.02258 (2020) - [i11]Xiaomeng Li, Mengyu Jia, Md Tauhidul Islam, Lequan Yu, Lei Xing:
Self-supervised Feature Learning via Exploiting Multi-modal Data for Retinal Disease Diagnosis. CoRR abs/2007.11067 (2020) - [i10]Lequan Yu, Zhicheng Zhang, Xiaomeng Li, Lei Xing:
Deep Sinogram Completion with Image Prior for Metal Artifact Reduction in CT Images. CoRR abs/2009.07469 (2020)
2010 – 2019
- 2019
- [c5]Lequan Yu, Shujun Wang, Xiaomeng Li, Chi-Wing Fu, Pheng-Ann Heng:
Uncertainty-Aware Self-ensembling Model for Semi-supervised 3D Left Atrium Segmentation. MICCAI (2) 2019: 605-613 - [i9]Patrick Bilic, Patrick Ferdinand Christ, Eugene Vorontsov, Grzegorz Chlebus, Hao Chen, Qi Dou, Chi-Wing Fu, Xiao Han, Pheng-Ann Heng, Jürgen Hesser, Samuel Kadoury, Tomasz K. Konopczynski, Miao Le, Chunming Li, Xiaomeng Li, Jana Lipková, John S. Lowengrub, Hans Meine, Jan Hendrik Moltz, Chris Pal, Marie Piraud, Xiaojuan Qi, Jin Qi, Markus Rempfler, Karsten Roth, Andrea Schenk, Anjany Sekuboyina, Ping Zhou, Christian Hülsemeyer, Marcel Beetz, Florian Ettlinger, Felix Grün, Georgios Kaissis, Fabian Lohöfer, Rickmer Braren, Julian Holch, Felix Hofmann, Wieland H. Sommer, Volker Heinemann, Colin Jacobs, Gabriel Efrain Humpire Mamani, Bram van Ginneken, Gabriel Chartrand, An Tang, Michal Drozdzal, Avi Ben-Cohen, Eyal Klang, Michal Marianne Amitai, Eli Konen, Hayit Greenspan, Johan Moreau, Alexandre Hostettler, Luc Soler, Refael Vivanti, Adi Szeskin, Naama Lev-Cohain, Jacob Sosna, Leo Joskowicz, Bjoern H. Menze:
The Liver Tumor Segmentation Benchmark (LiTS). CoRR abs/1901.04056 (2019) - [i8]Xiaomeng Li, Lequan Yu, Hao Chen, Chi-Wing Fu, Pheng-Ann Heng:
Transformation Consistent Self-ensembling Model for Semi-supervised Medical Image Segmentation. CoRR abs/1903.00348 (2019) - [i7]Xiaomeng Li, Lequan Yu, Chi-Wing Fu, Pheng-Ann Heng:
Difficulty-aware Meta-Learning for Rare Disease Diagnosis. CoRR abs/1907.00354 (2019) - [i6]Xiaomeng Li, Lequan Yu, Chi-Wing Fu, Meng Fang, Pheng-Ann Heng:
Revisiting Metric Learning for Few-Shot Image Classification. CoRR abs/1907.03123 (2019) - [i5]Lequan Yu, Shujun Wang, Xiaomeng Li, Chi-Wing Fu, Pheng-Ann Heng:
Uncertainty-aware Self-ensembling Model for Semi-supervised 3D Left Atrium Segmentation. CoRR abs/1907.07034 (2019) - [i4]Xiaomeng Li, Xiaowei Hu, Lequan Yu, Lei Zhu, Chi-Wing Fu, Pheng-Ann Heng:
CANet: Cross-disease Attention Network for Joint Diabetic Retinopathy and Diabetic Macular Edema Grading. CoRR abs/1911.01376 (2019) - 2018
- [j3]Lei Zhu, Weiming Wang, Xiaomeng Li, Qiong Wang, Jing Qin, Kin Hong Wong, Kup-Sze Choi, Chi-Wing Fu, Pheng-Ann Heng:
Feature-preserving ultrasound speckle reduction via L0 minimization. Neurocomputing 294: 48-60 (2018) - [j2]Xiaomeng Li, Qi Dou, Hao Chen, Chi-Wing Fu, Xiaojuan Qi, Daniel L. Belavy, Gabriele Armbrecht, Dieter Felsenberg, Guoyan Zheng, Pheng-Ann Heng:
3D multi-scale FCN with random modality voxel dropout learning for Intervertebral Disc Localization and Segmentation from Multi-modality MR Images. Medical Image Anal. 45: 41-54 (2018) - [j1]Xiaomeng Li, Hao Chen, Xiaojuan Qi, Qi Dou, Chi-Wing Fu, Pheng-Ann Heng:
H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation From CT Volumes. IEEE Trans. Medical Imaging 37(12): 2663-2674 (2018) - [c4]Xiaomeng Li, Lequan Yu, Hao Chen, Chi-Wing Fu, Pheng-Ann Heng:
Semi-supervised Skin Lesion Segmentation via Transformation Consistent Self-ensembling Model. BMVC 2018: 63 - [c3]Xiaomeng Li, Lequan Yu, Chi-Wing Fu, Pheng-Ann Heng:
Deeply Supervised Rotation Equivariant Network for Lesion Segmentation in Dermoscopy Images. OR 2.0/CARE/CLIP/ISIC@MICCAI 2018: 235-243 - [i3]Xiaomeng Li, Lequan Yu, Chi-Wing Fu, Pheng-Ann Heng:
Deeply Supervised Rotation Equivariant Network for Lesion Segmentation in Dermoscopy Images. CoRR abs/1807.02804 (2018) - [i2]Xiaomeng Li, Lequan Yu, Hao Chen, Chi-Wing Fu, Pheng-Ann Heng:
Semi-supervised Skin Lesion Segmentation via Transformation Consistent Self-ensembling Model. CoRR abs/1808.03887 (2018) - 2017
- [i1]Xiaomeng Li, Hao Chen, Xiaojuan Qi, Qi Dou, Chi-Wing Fu, Pheng-Ann Heng:
H-DenseUNet: Hybrid Densely Connected UNet for Liver and Liver Tumor Segmentation from CT Volumes. CoRR abs/1709.07330 (2017) - 2016
- [c2]Lei Zhu, Weiming Wang, Xiaomeng Li, Qiong Wang, Jing Qin, Kin Hong Wong, Pheng-Ann Heng:
Ultrasound Speckle Reduction via L_0 Minimization. ACCV (3) 2016: 50-65 - [c1]Xiaomeng Li, Qi Dou, Hao Chen, Chi-Wing Fu, Pheng-Ann Heng:
Multi-scale and Modality Dropout Learning for Intervertebral Disc Localization and Segmentation. CSI@MICCAI 2016: 85-91
Coauthor Index
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