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ORCIDXiaomeng Li 0001
Person information
- affiliation: The Hong Kong University of Science and Technology
- 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://dblp1.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
- 2023
[j18]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)- [j17]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) - [c18]Xunguang Wang, Yiqun Lin, Xiaomeng Li:
CgAT: Center-Guided Adversarial Training for Deep Hashing-Based Retrieval. WWW 2023: 3268-3277 - [i38]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) - [i37]Yiqun Lin, Zhongjin Luo, Wei Zhao, Xiaomeng Li:
Learning Deep Intensity Field for Extremely Sparse-View CBCT Reconstruction. CoRR abs/2303.06681 (2023) - [i36]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) - [i35]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) - 2022
- [j16]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) - [j15]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) - [j14]Xinpeng Ding, Xiaomeng Li:
Exploring Segment-Level Semantics for Online Phase Recognition From Surgical Videos. IEEE Trans. Medical Imaging 41(11): 3309-3319 (2022) - [c17]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 - [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] - [i34]Huifeng Yao, Xiaowei Hu, Xiaomeng Li:
Enhancing Pseudo Label Quality for Semi-SupervisedDomain-Generalized Medical Image Segmentation. CoRR abs/2201.08657 (2022) - [i33]Zixun Wang, Xinpeng Ding, Wei Zhao, Xiaomeng Li:
Less is More: Surgical Phase Recognition from Timestamp Supervision. CoRR abs/2202.08199 (2022) - [i32]Xiaoxiao Liang, Yiqun Lin, Huazhu Fu, Lei Zhu, Xiaomeng Li:
RSCFed: Random Sampling Consensus Federated Semi-supervised Learning. CoRR abs/2203.13993 (2022) - [i31]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) - [i30]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) - [i29]Xinpeng Ding, Ziwei Liu, Xiaomeng Li:
Free Lunch for Surgical Video Understanding by Distilling Self-Supervisions. CoRR abs/2205.09292 (2022) - [i28]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) - [i27]Shuhan Li, Xiaomeng Li, Xiaowei Xu, Kwang-Ting Cheng:
Sub-cluster-aware Network for Few-shot Skin Disease Classification. CoRR abs/2207.01072 (2022) - [i26]Xinpeng Ding, Jingweng Yang, Xiaowei Hu, Xiaomeng Li:
Learning Shadow Correspondence for Video Shadow Detection. CoRR abs/2208.00150 (2022) - [i25]Yi Li, Hualiang Wang, Yiqun Duan, Hang Xu, Xiaomeng Li:
Exploring Visual Interpretability for Contrastive Language-Image Pre-training. CoRR abs/2209.07046 (2022) - [i24]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) - [i23]Xiaomeng Li, Hongyu Ren, Huifeng Yao, Ziwei Liu:
TripleE: Easy Domain Generalization via Episodic Replay. CoRR abs/2210.01807 (2022) - [i22]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) - 2021
- [j13]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) - [j12]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) - [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 - [i21]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) - [i20]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) - [i19]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) - [i18]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) - [i17]Huifeng Yao, Ziyu Guo, Yatao Zhang, Xiaomeng Li:
Improved Heatmap-based Landmark Detection. CoRR abs/2110.05676 (2021) - [i16]Huimin Wu, Xiaomeng Li, Kwang-Ting Cheng:
Exploring Feature Representation Learning for Semi-supervised Medical Image Segmentation. CoRR abs/2111.10989 (2021) - [i15]Xinpeng Ding, Xiaomeng Li:
Exploiting Segment-level Semantics for Online Phase Recognition from Surgical Videos. CoRR abs/2111.11044 (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 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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