Xiaomeng Li

243 papers A* 26A 1Misc 1Journal 169Unranked 44
YearRankTypeTitle / Venue / Authors
2026 J jnl
Beyond Benchmarks of IUGC: Rethinking Requirements of Deep Learning Methods for Intrapartum Ultrasound Biometry from Fetal Ultrasound Videos.
CoRR
Jieyun Bai, Zihao Zhou, Yitong Tang, Jie Gan, Zhuonan Liang, Jianan Fan, Lisa Mcguire, Jillian Clarke, Weidong Cai, Jacqueline Spurway, Yubo Tang, Shiye Wang, Wenda Shen, Wangwang Yu, Yihao Li, Philippe Zhang, Weili Jiang, Yongjie Li, Salem Muhsin Ali Binqahal Al Nasim, Arsen Abzhanov, Numan Saeed, Mohammad Yaqub, Zunhui Xian, Hongxing Lin, Libin Lan, Jayroop Ramesh, Valentin Bacher, Mark Eid, Hoda Kalabizadeh, Christian Rupprecht, Ana I. L. Namburete, Pak-Hei Yeung, Madeleine K. Wyburd, Nicola K. Dinsdale, Assanali Serikbey, Jiankai Li, Sung-Liang Chen, Zicheng Hu, Nana Liu, Yian Deng, Wei Hu, Cong Tan, Wenfeng Zhang, Mai Tuyet Nhi, Gregor Koehler, Rapheal Stock, Klaus Maier-Hein, Marawan Elbatel, Xiaomeng Li, Saad Slimani, Victor M. Campello, Benard Ohene-Botwe, Isaac Khobo, Yuxin Huang, Zhenyan Han, Hongying Hou, Di Qiu, Zheng Zheng, Gongning Luo, Dong Ni, Yaosheng Lu, Karim Lekadir, Shuo Li
2026 J jnl
Beyond benchmarks of IUGC: Rethinking requirements of deep learning method for intrapartum ultrasound biometry from fetal ultrasound videos.
Medical Image Anal.
Jieyun Bai, Zihao Zhou, Yitong Tang, Jie Gan, Zhuonan Liang, Jianan Fan, Lisa Mcguire, Jillian Clarke, Tom Weidong Cai, Jacqueline Spurway, Yubo Tang, Shiye Wang, Wenda Shen, Wangwang Yu, Yihao Li, Philippe Zhang, Weili Jiang, Yongjie Li, Salem Muhsin Ali Binqahal Al Nasim, Arsen Abzhanov, Numan Saeed, Mohammad Yaqub, Zunhui Xia, Hongxing Li, Libin Lan, Jayroop Ramesh, Valentin Bacher, Mark Eid, Hoda Kalabizadeh, Christian Rupprecht, Ana I. L. Namburete, Pak-Hei Yeung, Madeleine K. Wyburd, Nicola K. Dinsdale, Assanali Serikbey, Jiankai Li, Sung-Liang Chen, Zicheng Hu, Nana Liu, Yian Deng, Wei Hu, Cong Tan, Wenfeng Zhang, Mai Tuyet Nhi, Gregor Koehler, Rapheal Stock, Klaus Maier-Hein, Marawan Elbatel, Xiaomeng Li, Saad Slimani, Victor M. Campello, Benard Ohene-Botwe, Isaac Khobo, Yuxin Huang, Zhenyan Han, Hongying Hou, Di Qiu, Zheng Zheng, Gongning Luo, Dong Ni, Yaosheng Lu, Karim Lekadir, Shuo Li
2026 A* conf
CaPro: Curvilinear-aware Prompt Learning with Single Unlabeled Image for Cost-effective Curvilinear Structure Segmentation.
AAAI
Zhuangzhuang Chen, Qiangyu Chen, Chubin Ou, Xiaomeng Li
2026 J jnl
Contrastive Learning for Semi-Supervised Deep Regression With Generalized Ordinal Rankings From Spectral Seriation.
IEEE Trans. Pattern Anal. Mach. Intell.
Ce Wang, Weihang Dai, Hanru Bai, Xiaomeng Li
2026 J jnl
DenseMLLM: Standard Multimodal LLMs are Intrinsic Dense Predictors.
CoRR
Yi Li, Hongze Shen, Lexiang Tang, Xin Li, Xinpeng Ding, Yinsong Liu, Deqiang Jiang, Xing Sun, Xiaomeng Li
2026 J jnl
Distribution-Aware Reward Estimation for Test-Time Reinforcement Learning.
CoRR
Bodong Du, Xuanqi Huang, Xiaomeng Li
2026 J jnl
Extreme cardiac MRI analysis under respiratory motion: Results of the CMRxMotion challenge.
Medical Image Anal.
Kang Wang, Chen Qin, Zhang Shi, Haoran Wang, Xiwen Zhang, Chen Chen, Cheng Ouyang, Chengliang Dai, Yuanhan Mo, Chenchen Dai, Xutong Kuang, Ruizhe Li, Xin Chen, Xiuzheng Yue, Song Tian, Alejandro Mora-Rubio, Kumaradevan Punithakumar, Shizhan Gong, Qi Dou, Sina Amirrajab, Yasmina Al Khalil, Cian M. Scannell, Lexiaozi Fan, Huili Yang, Xiaowu Sun, Rob J. van der Geest, Tewodros Weldebirhan Arega, Fabrice Mériaudeau, Caner Özer, Amin Ranem, John Kalkhof, Ilkay Öksüz, Anirban Mukhopadhyay, Abdul Qayyum, Moona Mazher, Steven A. Niederer, Carles García-Cabrera, Eric Arazo, Michal K. Grzeszczyk, Szymon Plotka, Wanqin Ma, Xiaomeng Li, Rongjun Ge, Yongqing Kou, Xinrong Chen, He Wang, Chengyan Wang, Wenjia Bai, Shuo Wang
2026 J jnl
MedSapiens: Taking a pose to rethink medical imaging landmark detection.
Medical Image Anal.
Marawan Elbatel, Anbang Wang, Keyuan Liu, Kaouther Mouheb, Enrique Almar-Munoz, Lizhuo Lin, Yanqi Yang, Karim Lekadir, Xiaomeng Li
2026 J jnl
NIFA: Low-dose CT imaging via noise intensity field aware networks.
Medical Image Anal.
Zihui Zhao, Yanxin Wang, Suqing Tian, Xiaomeng Li, Wei Zhao
2026 J jnl
SegMIC: A universal model for medical image segmentation through in-context learning.
Pattern Recognit.
Jianwei Zhao, Fan Yang, Xin Li, Zhicheng Jiao, Qiang Zhai, Xiaomeng Li, De Wu, Huazhu Fu, Hong Cheng
2026 J jnl
TSAR: A two-stage approach to motion artifact reduction in OCTA images.
Pattern Recognit.
Benteng Ma, Xiaomeng Li, Xu Lin, Xiaoyu Bai, Dongping Shao, Chubin Ou, Lin An, Jia Qin, Kwang-Ting Cheng
2026 J jnl
ToMo-UDA++: Unsupervised Domain Adaptation for Anatomical Structure Detection Using Enhanced Topology and Morphology Knowledge.
Int. J. Comput. Vis.
Bin Pu, Jiewen Yang, Xingguo Lv, Xingbo Dong, Lei Zhao, Shengli Li, Kenli Li, Xiaomeng Li
2025 J jnl
A Cognitive Process-Inspired Architecture for Subject-Agnostic Brain Visual Decoding.
CoRR
Jingyu Lu, Haonan Wang, Qixiang Zhang, Xiaomeng Li
2025 J jnl
A closer look at the explainability of Contrastive language-image pre-training.
Pattern Recognit.
Yi Li, Hualiang Wang, Yiqun Duan, Jiheng Zhang, Xiaomeng Li
2025 J jnl
A new dataset and versatile multi-task surgical workflow analysis framework for thoracoscopic mitral valvuloplasty.
Medical Image Anal.
Meng Lan, Weixin Si, Xinjian Yan, Xiaomeng Li
2025 J jnl
AI-Enabled Accurate Non-Invasive Assessment of Pulmonary Hypertension Progression via Multi-Modal Echocardiography.
CoRR
Jiewen Yang, Taoran Huang, Shangwei Ding, Xiaowei Xu, Qinhua Zhao, Yong Jiang, Jiarong Guo, Bin Pu, Jiexuan Zheng, Caojin Zhang, Hongwen Fei, Xiaomeng Li
2025 — conf
Adaptive Frame Selection for Gestational Age Estimation from Blind Sweep Fetal Ultrasound Videos.
MICCAI (14)
Tanya Akumu, Marawan Elbatel, Víctor M. Campello, Richard Osuala, Carlos Martín-Isla, Ignacio Valenzuela, Xiaomeng Li, Bishesh Khanal, Karim Lekadir
2025 — conf
Beyond H&E: Unlocking Pathological Insights with Polarization Imaging.
BIBM
Yao Du, Jiaxin Zhuang, Xiaoyu Zheng, Jing Cong, Limei Guo, Chao He, Lin Luo, Xiaomeng Li
2025 J jnl
Beyond H&E: Unlocking Pathological Insights with Polarization via Self-supervised Learning.
CoRR
Yao Du, Jiaxin Zhuang, Xiaoyu Zheng, Jing Cong, Limei Guo, Chao He, Lin Luo, Xiaomeng Li
2025 J jnl
Beyond Sequential Patterns: Rethinking Healthcare Predictions with Contextual Insights.
ACM Trans. Inf. Syst.
Chuang Zhao, Hui Tang, Hongke Zhao, Xiaomeng Li
2025 J jnl
Boosting RL-Based Visual Reasoning with Selective Adversarial Entropy Intervention.
CoRR
Yang Yu, Zhuangzhuang Chen, Siqi Wang, Lanqing Li, Xiaomeng Li
2025 — conf
Cine-CLIP: Reducing Cine-MRI Dimensionality with Temporal Variability for Left Ventricular Ejection Fraction Estimation.
PRIME@MICCAI
Enrique Almar-Munoz, Marawan Elbatel, Cristian Izquierdo, Illia Stepin, Machteld J. Boonstra, Xiaomeng Li, Christian Kremser, Matthias Schwab, Steffen E. Petersen, Markus Haltmeier, Agnes Mayr, Karim Lekadir
2025 J jnl
Collaborative Knowledge Fusion: A Novel Method for Multi-Task Recommender Systems via LLMs.
IEEE Trans. Knowl. Data Eng.
Chuang Zhao, Xing Su, Ming He, Hongke Zhao, Jianping Fan, Xiaomeng Li
2025 A* conf
Concept-Based Unsupervised Domain Adaptation.
ICML
Xinyue Xu, Yueying Hu, Hui Tang, Yi Qin, Lu Mi, Hao Wang, Xiaomeng Li
2025 J jnl
Concept-Based Unsupervised Domain Adaptation.
CoRR
Xinyue Xu, Yueying Hu, Hui Tang, Yi Qin, Lu Mi, Hao Wang, Xiaomeng Li
2025 J jnl
Constrained multi-scale dense connections for biomedical image segmentation.
Pattern Recognit.
Jiawei Zhang, Yanchun Zhang, Hailong Qiu, Tianchen Wang, Xiaomeng Li, Shanfeng Zhu, Meiping Huang, Jian Zhuang, Yiyu Shi, Xiaowei Xu
2025 J jnl
Contrastive Learning for Semi-Supervised Deep Regression with Generalized Ordinal Rankings from Spectral Seriation.
CoRR
Ce Wang, Weihang Dai, Hanru Bai, Xiaomeng Li
2025 J jnl
Corrigendum to "PSFHS challenge report: pubic symphysis and fetal head segmentation from intrapartum ultrasound images" [Medical Image Analysis 99 (2025),103353].
Medical Image Anal.
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 C. M. 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
2025 — conf
Cross-View Generalized Diffusion Model for Sparse-View CT Reconstruction.
MICCAI (16)
Jixiang Chen, Yiqun Lin, Yi Qin, Hualiang Wang, Xiaomeng Li
2025 J jnl
Cross-domain Transfer of Valence Preferences via a Meta-optimization Approach.
ACM Trans. Web
Chuang Zhao, Hongke Zhao, Ming He, Xiaomeng Li, Jianping Fan
2025 J jnl
DDaTR: Dynamic Difference-Aware Temporal Residual Network for Longitudinal Radiology Report Generation.
IEEE Trans. Medical Imaging
Shanshan Song, Hui Tang, Honglong Yang, Xiaomeng Li
2025 J jnl
DeepSparse: A Foundation Model for Sparse-View CBCT Reconstruction.
CoRR
Yiqun Lin, Hualiang Wang, Jixiang Chen, Jiewen Yang, Jiarong Guo, Xiaomeng Li
2025 — conf
Diffmv: A Unified Diffusion Framework for Healthcare Predictions with Random Missing Views and View Laziness.
KDD (2)
Chuang Zhao, Hui Tang, Hongke Zhao, Xiaomeng Li
2025 J jnl
Diffmv: A Unified Diffusion Framework for Healthcare Predictions with Random Missing Views and View Laziness.
CoRR
Chuang Zhao, Hui Tang, Hongke Zhao, Xiaomeng Li
2025 J jnl
Domain knowledge based comprehensive segmentation of Type-A aortic dissection with clinically-oriented evaluation.
Medical Image Anal.
Shanshan Song, Hailong Qiu, Meiping Huang, Jian Zhuang, Qing Lu, Yiyu Shi, Xiaomeng Li, Wen Xie, Guang Tong, Xiaowei Xu
2025 J jnl
Dynamic Subcluster-Aware Network for Few-Shot Skin Disease Classification.
IEEE Trans. Neural Networks Learn. Syst.
Shuhan Li, Xiaomeng Li, Xiaowei Xu, Kwang-Ting Cheng
2025 — conf
Echo-Path: Pathology-Conditioned Echo Video Generation.
AMAI@MICCAI
Kabir Hamzah Muhammad, Marawan Elbatel, Yi Qin, Xiaomeng Li
2025 J jnl
Echo-Path: Pathology-Conditioned Echo Video Generation.
CoRR
Kabir Hamzah Muhammad, Marawan Elbatel, Yi Qin, Xiaomeng Li
2025 — conf
EchoViewCLIP: Advancing Video Quality Control through High-performance View Recognition of Echocardiography.
MICCAI (13)
Shanshan Song, Yi Qin, Honglong Yang, Taoran Huang, Hongwen Fei, Xiaomeng Li
2025 J jnl
Enhancing Domain Generalization in Medical Image Segmentation With Global and Local Prompts.
IEEE Trans. Neural Networks Learn. Syst.
Chuang Zhao, Xiaomeng Li
2025 J jnl
Extreme Cardiac MRI Analysis under Respiratory Motion: Results of the CMRxMotion Challenge.
CoRR
Kang Wang, Chen Qin, Zhang Shi, Haoran Wang, Xiwen Zhang, Chen Chen, Cheng Ouyang, Chengliang Dai, Yuanhan Mo, Chenchen Dai, Xutong Kuang, Ruizhe Li, Xin Chen, Xiuzheng Yue, Song Tian, Alejandro Mora-Rubio, Kumaradevan Punithakumar, Shizhan Gong, Qi Dou, Sina Amirrajab, Yasmina Al Khalil, Cian M. Scannell, Lexiaozi Fan, Huili Yang, Xiaowu Sun, Rob J. van der Geest, Tewodros Weldebirhan Arega, Fabrice Mériaudeau, Caner Özer, Amin Ranem, John Kalkhof, Ilkay Öksüz, Anirban Mukhopadhyay, Abdul Qayyum, Moona Mazher, Steven A. Niederer, Carles García-Cabrera, Eric Arazo, Michal K. Grzeszczyk, Szymon Plotka, Wanqin Ma, Xiaomeng Li, Rongjun Ge, Yongqing Kou, Xinrong Chen, He Wang, Chengyan Wang, Wenjia Bai, Shuo Wang
2025 — conf
Geometric-Guided Few-Shot Dental Landmark Detection with Human-Centric Foundation Model.
MICCAI (5)
Anbang Wang, Marawan Elbatel, Keyuan Liu, Lizhuo Lin, Meng Lan, Yanqi Yang, Xiaomeng Li
2025 J jnl
Geometric-Guided Few-Shot Dental Landmark Detection with Human-Centric Foundation Model.
CoRR
Anbang Wang, Marawan Elbatel, Keyuan Liu, Lizhuo Lin, Meng Lan, Yanqi Yang, Xiaomeng Li
2025 J jnl
GlandSAM: Injecting Morphology Knowledge Into Segment Anything Model for Label-Free Gland Segmentation.
IEEE Trans. Medical Imaging
Qixiang Zhang, Yi Li, Cheng Xue, Haonan Wang, Xiaomeng Li
2025 J jnl
Grounded by Experience: Generative Healthcare Prediction Augmented with Hierarchical Agentic Retrieval.
CoRR
Chuang Zhao, Hui Tang, Hongke Zhao, Xiaofang Zhou, Xiaomeng Li
2025 J jnl
HResFormer: Hybrid Residual Transformer for Volumetric Medical Image Segmentation.
IEEE Trans. Neural Networks Learn. Syst.
Sucheng Ren, Xiaomeng Li
2025 J jnl
HiLM-D: Enhancing MLLMs with Multi-scale High-Resolution Details for Autonomous Driving.
Int. J. Comput. Vis.
Xinpeng Ding, Jianhua Han, Hang Xu, Wei Zhang, Xiaomeng Li
2025 A* conf
Interpretable Bilingual Multimodal Large Language Model for Diverse Biomedical Tasks.
ICLR
Lehan Wang, Haonan Wang, Honglong Yang, Jiaji Mao, Zehong Yang, Jun Shen, Xiaomeng Li
2025 A* conf
Leveraging Anatomical Consistency for Multi-Object Detection in Ultrasound Images via Source-free Unsupervised Domain Adaptation.
AAAI
Bin Pu, Xingguo Lv, Jiewen Yang, Xingbo Dong, Yiqun Lin, Shengli Li, Kenli Li, Xiaomeng Li
2025 J jnl
Leveraging Segment Anything Model for Source-Free Domain Adaptation via Dual Feature Guided Auto-Prompting.
CoRR
Zheang Huai, Hui Tang, Yi Li, Zhuangzhuang Chen, Xiaomeng Li
2025 J jnl
Leveraging Segment Anything Model for Source-Free Domain Adaptation via Dual Feature Guided Auto-Prompting.
IEEE Trans. Medical Imaging
Zheang Huai, Hui Tang, Yi Li, Zhuangzhuang Chen, Xiaomeng Li
2025 — conf
MOC: Meta-Optimized Classifier for Few-Shot Whole Slide Image Classification.
MICCAI (5)
Tianqi Xiang, Yi Li, Qixiang Zhang, Xiaomeng Li
2025 J jnl
MOC: Meta-Optimized Classifier for Few-Shot Whole Slide Image Classification.
CoRR
Tianqi Xiang, Yi Li, Qixiang Zhang, Xiaomeng Li
2025 J jnl
MedSapiens: Taking a Pose to Rethink Medical Imaging Landmark Detection.
CoRR
Marawan Elbatel, Anbang Wang, Keyuan Liu, Kaouther Mouheb, Enrique Almar-Munoz, Lizhuo Lin, Yanqi Yang, Karim Lekadir, Xiaomeng Li
2025 A* conf
MuTri: Multi-view Tri-alignment for OCT to OCTA 3D Image Translation.
CVPR
Zhuangzhuang Chen, Hualiang Wang, Chubin Ou, Xiaomeng Li
2025 J jnl
MuTri: Multi-view Tri-alignment for OCT to OCTA 3D Image Translation.
CoRR
Zhuangzhuang Chen, Hualiang Wang, Chubin Ou, Xiaomeng Li
2025 J jnl
Multi-Modal Explainable Medical AI Assistant for Trustworthy Human-AI Collaboration.
CoRR
Honglong Yang, Shanshan Song, Yi Qin, Lehan Wang, Haonan Wang, Xinpeng Ding, Qixiang Zhang, Bodong Du, Xiaomeng Li
2025 — conf
Multi-agent Collaboration for Integrating Echocardiography Expertise in Multi-modal Large Language Models.
MICCAI (7)
Yi Qin, Dinusara Sasindu Gamage Nanayakkara, Xiaomeng Li
2025 J jnl
MultiEYE: Dataset and Benchmark for OCT-Enhanced Retinal Disease Recognition From Fundus Images.
IEEE Trans. Medical Imaging
Lehan Wang, Chongchong Qi, Chubin Ou, Lin An, Mei Jin, Xiangbin Kong, Xiaomeng Li
2025 J jnl
Neurons: Emulating the Human Visual Cortex Improves Fidelity and Interpretability in fMRI-to-Video Reconstruction.
CoRR
Haonan Wang, Qixiang Zhang, Lehan Wang, Xuanqi Huang, Xiaomeng Li
2025 J jnl
OS-RRG: Observation State-Aware Radiology Report Generation With Balanced Diagnosis and Attention Intervention.
IEEE Trans. Neural Networks Learn. Syst.
Honglong Yang, Hui Tang, Shanshan Song, Xiaomeng Li
2025 J jnl
PSFHS challenge report: Pubic symphysis and fetal head segmentation from intrapartum ultrasound images.
Medical Image Anal.
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 C. M. 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
2025 J jnl
PaMi-VDPO: Mitigating Video Hallucinations by Prompt-Aware Multi-Instance Video Preference Learning.
CoRR
Xinpeng Ding, Kui Zhang, Jianhua Han, Lanqing Hong, Hang Xu, Xiaomeng Li
2025 J jnl
Proactive Reasoning-with-Retrieval Framework for Medical Multimodal Large Language Models.
CoRR
Lehan Wang, Yi Qin, Honglong Yang, Xiaomeng Li
2025 J jnl
Reinforced Correlation Between Vision and Language for Precise Medical AI Assistant.
CoRR
Haonan Wang, Jiaji Mao, Lehan Wang, Qixiang Zhang, Marawan Elbatel, Yi Qin, Huijun Hu, Baoxun Li, Wenhui Deng, Weifeng Qin, Hongrui Li, Jialin Liang, Jun Shen, Xiaomeng Li
2025 J jnl
S&D Messenger: Exchanging Semantic and Domain Knowledge for Generic Semi-Supervised Medical Image Segmentation.
IEEE Trans. Medical Imaging
Qixiang Zhang, Haonan Wang, Xiaomeng Li
2025 J jnl
Token Activation Map to Visually Explain Multimodal LLMs.
CoRR
Yi Li, Hualiang Wang, Xinpeng Ding, Haonan Wang, Xiaomeng Li
2025 J jnl
UniEval: Unified Holistic Evaluation for Unified Multimodal Understanding and Generation.
CoRR
Yi Li, Haonan Wang, Qixiang Zhang, Boyu Xiao, Chenchang Hu, Hualiang Wang, Xiaomeng Li
2025 A* conf
Unveiling Discrete Clues: Superior Healthcare Predictions for Rare Diseases.
WWW
Chuang Zhao, Hui Tang, Jiheng Zhang, Xiaomeng Li
2025 J jnl
Unveiling Discrete Clues: Superior Healthcare Predictions for Rare Diseases.
CoRR
Chuang Zhao, Hui Tang, Jiheng Zhang, Xiaomeng Li
2025 — conf
VAMPIRE: Uncovering Vessel Directional and Morphological Information from OCTA Images for Cardiovascular Disease Risk Factor Prediction.
MICCAI (15)
Lehan Wang, Hualiang Wang, Chubin Ou, Lushi Chen, Yunyi Liang, Xiaomeng Li
2025 J jnl
VAMPIRE: Uncovering Vessel Directional and Morphological Information from OCTA Images for Cardiovascular Disease Risk Factor Prediction.
CoRR
Lehan Wang, Hualiang Wang, Chubin Ou, Lushi Chen, Yunyi Liang, Xiaomeng Li
2025 J jnl
ZEBRA: Towards Zero-Shot Cross-Subject Generalization for Universal Brain Visual Decoding.
CoRR
Haonan Wang, Jingyu Lu, Hongrui Li, Xiaomeng Li
2024 A* conf
AllSpark: Reborn Labeled Features from Unlabeled in Transformer for Semi-Supervised Semantic Segmentation.
CVPR
Haonan Wang, Qixiang Zhang, Yi Li, Xiaomeng Li
2024 J jnl
AllSpark: Reborn Labeled Features from Unlabeled in Transformer for Semi-Supervised Semantic Segmentation.
CoRR
Haonan Wang, Qixiang Zhang, Yi Li, Xiaomeng Li
2024 — conf
An Organism Starts with a Single Pix-Cell: A Neural Cellular Diffusion for High-Resolution Image Synthesis.
MICCAI (1)
Marawan Elbatel, Konstantinos Kamnitsas, Xiaomeng Li
2024 J jnl
An Organism Starts with a Single Pix-Cell: A Neural Cellular Diffusion for High-Resolution Image Synthesis.
CoRR
Marawan Elbatel, Konstantinos Kamnitsas, Xiaomeng Li
2024 A* conf
Bidirectional Recurrence for Cardiac Motion Tracking with Gaussian Process Latent Coding.
NeurIPS
Jiewen Yang, Yiqun Lin, Bin Pu, Xiaomeng Li
2024 J jnl
Bidirectional Recurrence for Cardiac Motion Tracking with Gaussian Process Latent Coding.
CoRR
Jiewen Yang, Yiqun Lin, Bin Pu, Xiaomeng Li
2024 A* conf
C
CVPR
Yiqun Lin, Jiewen Yang, Hualiang Wang, Xinpeng Ding, Wei Zhao, Xiaomeng Li
2024 J jnl
C^2RV: Cross-Regional and Cross-View Learning for Sparse-View CBCT Reconstruction.
CoRR
Yiqun Lin, Jiewen Yang, Hualiang Wang, Xinpeng Ding, Wei Zhao, Xiaomeng Li
2024 — conf
CardiacNet: Learning to Reconstruct Abnormalities for Cardiac Disease Assessment from Echocardiogram Videos.
ECCV (23)
Jiewen Yang, Yiqun Lin, Bin Pu, Jiarong Guo, Xiaowei Xu, Xiaomeng Li
2024 J jnl
CardiacNet: Learning to Reconstruct Abnormalities for Cardiac Disease Assessment from Echocardiogram Videos.
CoRR
Jiewen Yang, Yiqun Lin, Bin Pu, Jiarong Guo, Xiaowei Xu, Xiaomeng Li
2024 J jnl
CoMoTo: Unpaired Cross-Modal Lesion Distillation Improves Breast Lesion Detection in Tomosynthesis.
CoRR
Muhammad Alberb, Marawan Elbatel, Aya Elgebaly, Ricardo Montoya-del-Angel, Xiaomeng Li, Robert Martí
2024 J jnl
Collaborative Knowledge Fusion: A Novel Approach for Multi-task Recommender Systems via LLMs.
CoRR
Chuang Zhao, Xing Su, Ming He, Hongke Zhao, Jianping Fan, Xiaomeng Li
2024 J jnl
Cross-Domain Recommendation via Progressive Structural Alignment.
IEEE Trans. Knowl. Data Eng.
Chuang Zhao, Hongke Zhao, Xiaomeng Li, Ming He, Jiahui Wang, Jianping Fan
2024 J jnl
Cross-domain Transfer of Valence Preferences via a Meta-optimization Approach.
CoRR
Chuang Zhao, Hongke Zhao, Ming He, Xiaomeng Li, Jianping Fan
2024 J jnl
Energy-Based Concept Bottleneck Models: Unifying Prediction, Concept Intervention, and Conditional Interpretations.
CoRR
Xinyue Xu, Yi Qin, Lu Mi, Hao Wang, Xiaomeng Li
2024 A* conf
Energy-Based Concept Bottleneck Models: Unifying Prediction, Concept Intervention, and Probabilistic Interpretations.
ICLR
Xinyue Xu, Yi Qin, Lu Mi, Hao Wang, Xiaomeng Li
2024 J jnl
Enhancing Precision Drug Recommendations via In-Depth Exploration of Motif Relationships.
IEEE Trans. Knowl. Data Eng.
Chuang Zhao, Hongke Zhao, Xiaofang Zhou, Xiaomeng Li
2024 J jnl
Exploiting Hierarchical Interactions for Protein Surface Learning.
CoRR
Yiqun Lin, Liang Pan, Yi Li, Ziwei Liu, Xiaomeng Li
2024 J jnl
Exploiting Hierarchical Interactions for Protein Surface Learning.
IEEE J. Biomed. Health Informatics
Yiqun Lin, Liang Pan, Yi Li, Ziwei Liu, Xiaomeng Li
2024 J jnl
Exploring Feature Representation Learning for Semi-Supervised Medical Image Segmentation.
IEEE Trans. Neural Networks Learn. Syst.
Huimin Wu, Xiaomeng Li, Kwang-Ting Cheng
2024 — conf
FD-SOS: Vision-Language Open-Set Detectors for Bone Fenestration and Dehiscence Detection from Intraoral Images.
MICCAI (3)
Marawan Elbatel, Keyuan Liu, Yanqi Yang, Xiaomeng Li
2024 J jnl
FD-SOS: Vision-Language Open-Set Detectors for Bone Fenestration and Dehiscence Detection from Intraoral Images.
CoRR
Marawan Elbatel, Keyuan Liu, Yanqi Yang, Xiaomeng Li
2024 J jnl
Fair Evaluation of Federated Learning Algorithms for Automated Breast Density Classification: The Results of the 2022 ACR-NCI-NVIDIA Federated Learning Challenge.
CoRR
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
2024 J jnl
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.
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
2024 — conf
Few-Shot Lymph Node Metastasis Classification Meets High Performance on Whole Slide Images via the Informative Non-parametric Classifier.
MICCAI (12)
Yi Li, Qixiang Zhang, Tianqi Xiang, Yiqun Lin, Qingling Zhang, Xiaomeng Li
2024 J jnl
FoPro-KD: Fourier Prompted Effective Knowledge Distillation for Long-Tailed Medical Image Recognition.
IEEE Trans. Medical Imaging
Marawan Elbatel, Robert Martí, Xiaomeng Li
2024 — conf
HiA: Towards Chinese Multimodal LLMs for Comparative High-Resolution Joint Diagnosis.
MICCAI (12)
Xinpeng Ding, Yongqiang Chu, Renjie Pi, Hualiang Wang, Xiaomeng Li
2024 A* conf
Holistic Autonomous Driving Understanding by Bird'View Injected Multi-Modal Large Models.
CVPR
Xinpeng Ding, Jianhua Han, Hang Xu, Xiaodan Liang, Wei Zhang, Xiaomeng Li
2024 J jnl
Holistic Autonomous Driving Understanding by Bird's-Eye-View Injected Multi-Modal Large Models.
CoRR
Xinpeng Ding, Jianhua Han, Hang Xu, Xiaodan Liang, Wei Zhang, Xiaomeng Li
2024 J jnl
Interpretable Bilingual Multimodal Large Language Model for Diverse Biomedical Tasks.
CoRR
Lehan Wang, Haonan Wang, Honglong Yang, Jiaji Mao, Zehong Yang, Jun Shen, Xiaomeng Li
2024 — conf
Learning 3D Gaussians for Extremely Sparse-View Cone-Beam CT Reconstruction.
MICCAI (7)
Yiqun Lin, Hualiang Wang, Jixiang Chen, Xiaomeng Li
2024 J jnl
Learning 3D Gaussians for Extremely Sparse-View Cone-Beam CT Reconstruction.
CoRR
Yiqun Lin, Hualiang Wang, Jixiang Chen, Xiaomeng Li
2024 J jnl
Learning Unlabeled Clients Divergence for Federated Semi-Supervised Learning via Anchor Model Aggregation.
Trans. Mach. Learn. Res.
Marawan Elbatel, Hualiang Wang, Jixiang Chen, Hao Wang, Xiaomeng Li
2024 J jnl
Learning Unlabeled Clients Divergence via Anchor Model Aggregation for Federated Semi-supervised Learning.
CoRR
Marawan Elbatel, Hualiang Wang, Jixiang Chen, Hao Wang, Xiaomeng Li
2024 A* conf
M
CVPR
Bin Pu, Liwen Wang, Jiewen Yang, Guannan He, Xingbo Dong, Shengli Li, Ying Tan, Ming Chen, Zhe Jin, Kenli Li, Xiaomeng Li
2024 J jnl
MultiEYE: Dataset and Benchmark for OCT-Enhanced Retinal Disease Recognition from Fundus Images.
CoRR
Lehan Wang, Chongchong Qi, Chubin Ou, Lin An, Mei Jin, Xiangbin Kong, Xiaomeng Li
2024 Misc conf
Multimodal Survival Ensemble Network: Integrating Genomic and Histopathological Insights for Enhanced Cancer Prognosis.
ICASSP
Chenyi Zhou, Hualiang Wang, Xiaomeng Li, Wanlu Liu, Zuozhu Liu
2024 J jnl
PSFHS Challenge Report: Pubic Symphysis and Fetal Head Segmentation from Intrapartum Ultrasound Images.
CoRR
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 C. M. 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
2024 J jnl
S&D Messenger: Exchanging Semantic and Domain Knowledge for Generic Semi-Supervised Medical Image Segmentation.
CoRR
Qixiang Zhang, Haonan Wang, Xiaomeng Li
2024 — conf
Spatial-Division Augmented Occupancy Field for Bone Shape Reconstruction from Biplanar X-Rays.
MICCAI (7)
Jixiang Chen, Yiqun Lin, Haoran Sun, Xiaomeng Li
2024 — conf
Teach CLIP to Develop a Number Sense for Ordinal Regression.
ECCV (85)
Yao Du, Qiang Zhai, Weihang Dai, Xiaomeng Li
2024 J jnl
Teach CLIP to Develop a Number Sense for Ordinal Regression.
CoRR
Yao Du, Qiang Zhai, Weihang Dai, Xiaomeng Li
2024 A* conf
Touchstone Benchmark: Are We on the Right Way for Evaluating AI Algorithms for Medical Segmentation?
NeurIPS
Pedro R. A. S. Bassi, Wenxuan Li, Yucheng Tang, Fabian Isensee, Zifu Wang, Jieneng Chen, Yu-Cheng Chou, Yannick Kirchhoff, Maximilian Rokuss, Ziyan Huang, Jin Ye, Junjun He, Tassilo Wald, Constantin Ulrich, Michael Baumgartner, Saikat Roy, Klaus H. Maier-Hein, Paul F. Jaeger, Yiwen Ye, Yutong Xie, Jianpeng Zhang, Ziyang Chen, Yong Xia, Zhaohu Xing, Lei Zhu, Yousef Sadegheih, Afshin Bozorgpour, Pratibha Kumari, Reza Azad, Dorit Merhof, Pengcheng Shi, Ting Ma, Yuxin Du, Fan Bai, Tiejun Huang, Bo Zhao, Haonan Wang, Xiaomeng Li, Hanxue Gu, Haoyu Dong, Jichen Yang, Maciej A. Mazurowski, Saumya Gupta, Linshan Wu, Jia-Xin Zhuang, Hao Chen, Holger Roth, Daguang Xu, Matthew B. Blaschko, Sergio Decherchi, Andrea Cavalli, Alan L. Yuille, Zongwei Zhou
2024 J jnl
Touchstone Benchmark: Are We on the Right Way for Evaluating AI Algorithms for Medical Segmentation?
CoRR
Pedro R. A. S. Bassi, Wenxuan Li, Yucheng Tang, Fabian Isensee, Zifu Wang, Jieneng Chen, Yu-Cheng Chou, Yannick Kirchhoff, Maximilian Rokuss, Ziyan Huang, Jin Ye, Junjun He, Tassilo Wald, Constantin Ulrich, Michael Baumgartner, Saikat Roy, Klaus H. Maier-Hein, Paul F. Jaeger, Yiwen Ye, Yutong Xie, Jianpeng Zhang, Ziyang Chen, Yong Xia, Zhaohu Xing, Lei Zhu, Yousef Sadegheih, Afshin Bozorgpour, Pratibha Kumari, Reza Azad, Dorit Merhof, Pengcheng Shi, Ting Ma, Yuxin Du, Fan Bai, Tiejun Huang, Bo Zhao, Haonan Wang, Xiaomeng Li, Hanxue Gu, Haoyu Dong, Jichen Yang, Maciej A. Mazurowski, Saumya Gupta, Linshan Wu, Jiaxin Zhuang, Hao Chen, Holger Roth, Daguang Xu, Matthew B. Blaschko, Sergio Decherchi, Andrea Cavalli, Alan L. Yuille, Zongwei Zhou
2024 — conf
Tri-Plane Mamba: Efficiently Adapting Segment Anything Model for 3D Medical Images.
MICCAI (9)
Hualiang Wang, Yiqun Lin, Xinpeng Ding, Xiaomeng Li
2024 J jnl
Tri-Plane Mamba: Efficiently Adapting Segment Anything Model for 3D Medical Images.
CoRR
Hualiang Wang, Yiqun Lin, Xinpeng Ding, Xiaomeng Li
2024 A* conf
Unsupervised Domain Adaptation for Anatomical Structure Detection in Ultrasound Images.
ICML
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
2024 J jnl
Vessel-promoted OCT to OCTA image translation by heuristic contextual constraints.
Medical Image Anal.
Shuhan Li, Dong Zhang, Xiaomeng Li, Chubin Ou, Lin An, Yanwu Xu, Weihua Yang, Yanchun Zhang, Kwang-Ting Cheng
2024 J jnl
Video-based face outline recognition.
Pattern Recognit.
Xingbo Dong, Jiewen Yang, Andrew Beng Jin Teoh, Dahai Yu, Xiaomeng Li, Zhe Jin
2023 J jnl
A clinically applicable AI system for diagnosis of congenital heart diseases based on computed tomography images.
Medical Image Anal.
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
2023 J jnl
CLIP Surgery for Better Explainability with Enhancement in Open-Vocabulary Tasks.
CoRR
Yi Li, Hualiang Wang, Yiqun Duan, Xiaomeng Li
2023 A* conf
CLIPN for Zero-Shot OOD Detection: Teaching CLIP to Say No.
ICCV
Hualiang Wang, Yi Li, Huifeng Yao, Xiaomeng Li
2023 J jnl
CLIPN for Zero-Shot OOD Detection: Teaching CLIP to Say No.
CoRR
Hualiang Wang, Yi Li, Huifeng Yao, Xiaomeng Li
2023 A* conf
CgAT: Center-Guided Adversarial Training for Deep Hashing-Based Retrieval.
WWW
Xunguang Wang, Yiqun Lin, Xiaomeng Li
2023 J jnl
Compete to Win: Enhancing Pseudo Labels for Barely-Supervised Medical Image Segmentation.
IEEE Trans. Medical Imaging
Huimin Wu, Xiaomeng Li, Yiqun Lin, Kwang-Ting Cheng
2023 J jnl
Compete to Win: Enhancing Pseudo Labels for Barely-supervised Medical Image Segmentation.
CoRR
Huimin Wu, Xiaomeng Li, Yiqun Lin, Kwang-Ting Cheng
2023 J jnl
Context-Aware Pseudo-Label Refinement for Source-Free Domain Adaptive Fundus Image Segmentation.
CoRR
Zheang Huai, Xinpeng Ding, Yi Li, Xiaomeng Li
2023 — conf
Context-Aware Pseudo-label Refinement for Source-Free Domain Adaptive Fundus Image Segmentation.
MICCAI (7)
Zheang Huai, Xinpeng Ding, Yi Li, Xiaomeng Li
2023 J jnl
Cyclical Self-Supervision for Semi-Supervised Ejection Fraction Prediction From Echocardiogram Videos.
IEEE Trans. Medical Imaging
Weihang Dai, Xiaomeng Li, Xinpeng Ding, Kwang-Ting Cheng
2023 — conf
DHC: Dual-Debiased Heterogeneous Co-training Framework for Class-Imbalanced Semi-supervised Medical Image Segmentation.
MICCAI (3)
Haonan Wang, Xiaomeng Li
2023 J jnl
DHC: Dual-debiased Heterogeneous Co-training Framework for Class-imbalanced Semi-supervised Medical Image Segmentation.
CoRR
Haonan Wang, Xiaomeng Li
2023 — conf
DiffCMR: Fast Cardiac MRI Reconstruction with Diffusion Probabilistic Models.
STACOM@MICCAI
Tianqi Xiang, Wenjun Yue, Yiqun Lin, Jiewen Yang, Zhenkun Wang, Xiaomeng Li
2023 J jnl
DiffCMR: Fast Cardiac MRI Reconstruction with Diffusion Probabilistic Models.
CoRR
Tianqi Xiang, Wenjun Yue, Yiqun Lin, Jiewen Yang, Zhenkun Wang, Xiaomeng Li
2023 J jnl
Dynamic Data Augmentation via MCTS for Prostate MRI Segmentation.
CoRR
Xinyue Xu, Yuhan Hsi, Haonan Wang, Xiaomeng Li
2023 — conf
Dynamic Data Augmentation via Monte-Carlo Tree Search for Prostate MRI Segmentation.
ICONIP (10)
Xinyue Xu, Yuhan Hsi, Haonan Wang, Xiaomeng Li
2023 — conf
FSDiffReg: Feature-Wise and Score-Wise Diffusion-Guided Unsupervised Deformable Image Registration for Cardiac Images.
MICCAI (10)
Yi Qin, Xiaomeng Li
2023 J jnl
FSDiffReg: Feature-wise and Score-wise Diffusion-guided Unsupervised Deformable Image Registration for Cardiac Images.
CoRR
Yi Qin, Xiaomeng Li
2023 J jnl
Federated Model Aggregation via Self-Supervised Priors for Highly Imbalanced Medical Image Classification.
CoRR
Marawan Elbatel, Hualiang Wang, Robert Martí, Huazhu Fu, Xiaomeng Li
2023 — conf
Federated Model Aggregation via Self-supervised Priors for Highly Imbalanced Medical Image Classification.
ISIC/Care-AI/MedAGI/DeCaF@MICCAI
Marawan Elbatel, Hualiang Wang, Robert Martí, Huazhu Fu, Xiaomeng Li
2023 J jnl
FoPro-KD: Fourier Prompted Effective Knowledge Distillation for Long-Tailed Medical Image Recognition.
CoRR
Marawan Elbatel, Robert Martí, Xiaomeng Li
2023 — conf
Fundus-Enhanced Disease-Aware Distillation Model for Retinal Disease Classification from OCT Images.
MICCAI (7)
Lehan Wang, Weihang Dai, Mei Jin, Chubin Ou, Xiaomeng Li
2023 J jnl
Fundus-Enhanced Disease-Aware Distillation Model for Retinal Disease Classification from OCT Images.
CoRR
Lehan Wang, Weihang Dai, Mei Jin, Chubin Ou, Xiaomeng Li
2023 — conf
GL-Fusion: Global-Local Fusion Network for Multi-view Echocardiogram Video Segmentation.
MICCAI (4)
Ziyang Zheng, Jiewen Yang, Xinpeng Ding, Xiaowei Xu, Xiaomeng Li
2023 J jnl
GL-Fusion: Global-Local Fusion Network for Multi-view Echocardiogram Video Segmentation.
CoRR
Ziyang Zheng, Jiewen Yang, Xinpeng Ding, Xiaowei Xu, Xiaomeng Li
2023 A* conf
GraphEcho: Graph-Driven Unsupervised Domain Adaptation for Echocardiogram Video Segmentation.
ICCV
Jiewen Yang, Xinpeng Ding, Ziyang Zheng, Xiaowei Xu, Xiaomeng Li
2023 J jnl
GraphEcho: Graph-Driven Unsupervised Domain Adaptation for Echocardiogram Video Segmentation.
CoRR
Jiewen Yang, Xinpeng Ding, Ziyang Zheng, Xiaowei Xu, Xiaomeng Li
2023 J jnl
HiLM-D: Towards High-Resolution Understanding in Multimodal Large Language Models for Autonomous Driving.
CoRR
Xinpeng Ding, Jianhua Han, Hang Xu, Wei Zhang, Xiaomeng Li
2023 J jnl
ImageCAS: A large-scale dataset and benchmark for coronary artery segmentation based on computed tomography angiography images.
Comput. Medical Imaging Graph.
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
2023 — conf
Learning Deep Intensity Field for Extremely Sparse-View CBCT Reconstruction.
MICCAI (10)
Yiqun Lin, Zhongjin Luo, Wei Zhao, Xiaomeng Li
2023 J jnl
Learning Deep Intensity Field for Extremely Sparse-View CBCT Reconstruction.
CoRR
Yiqun Lin, Zhongjin Luo, Wei Zhao, Xiaomeng Li
2023 J jnl
Less Is More: Surgical Phase Recognition From Timestamp Supervision.
IEEE Trans. Medical Imaging
Xinpeng Ding, Xinjian Yan, Zixun Wang, Wei Zhao, Jian Zhuang, Xiaowei Xu, Xiaomeng Li
2023 — ed.
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
MTSAIL/LEAF/AI4Treat/MMMI/REMIA@MICCAI
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
2023 — conf
Morphology-Inspired Unsupervised Gland Segmentation via Selective Semantic Grouping.
MICCAI (4)
Qixiang Zhang, Yi Li, Cheng Xue, Xiaomeng Li
2023 J jnl
Morphology-inspired Unsupervised Gland Segmentation via Selective Semantic Grouping.
CoRR
Qixiang Zhang, Yi Li, Cheng Xue, Xiaomeng Li
2023 — conf
Radiomics-Informed Deep Learning for Classification of Atrial Fibrillation Sub-Types from Left-Atrium CT Volumes.
MICCAI (7)
Weihang Dai, Xiaomeng Li, Taihui Yu, Di Zhao, Jun Shen, Kwang-Ting Cheng
2023 J jnl
Radiomics-Informed Deep Learning for Classification of Atrial Fibrillation Sub-Types from Left-Atrium CT Volumes.
CoRR
Weihang Dai, Xiaomeng Li, Taihui Yu, Di Zhao, Jun Shen, Kwang-Ting Cheng
2023 J jnl
Reliable and Efficient Evaluation of Adversarial Robustness for Deep Hashing-Based Retrieval.
CoRR
Xunguang Wang, Jiawang Bai, Xinyue Xu, Xiaomeng Li
2023 — conf
SEDSkill: Surgical Events Driven Method for Skill Assessment from Thoracoscopic Surgical Videos.
MICCAI (9)
Xinpeng Ding, Xiaowei Xu, Xiaomeng Li
2023 A* conf
Semi-Supervised Contrastive Learning for Deep Regression with Ordinal Rankings from Spectral Seriation.
NeurIPS
Weihang Dai, Yao Du, Hanru Bai, Kwang-Ting Cheng, Xiaomeng Li
2023 A* conf
Semi-Supervised Deep Regression with Uncertainty Consistency and Variational Model Ensembling via Bayesian Neural Networks.
AAAI
Weihang Dai, Xiaomeng Li, Kwang-Ting Cheng
2023 J jnl
Semi-Supervised Deep Regression with Uncertainty Consistency and Variational Model Ensembling via Bayesian Neural Networks.
CoRR
Weihang Dai, Xiaomeng Li, Kwang-Ting Cheng
2023 J jnl
Spectrum and Style Transformation Framework for Omni-Domain COVID-19 Diagnosis.
IEEE Trans. Emerg. Top. Comput. Intell.
Zhenkun Wang, Shuangchun Gui, Xinpeng Ding, Xiaowei Hu, Xiaowei Xu, Xiaomeng Li
2023 J jnl
The Liver Tumor Segmentation Benchmark (LiTS).
Medical Image Anal.
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
2023 A* conf
Towards Distribution-Agnostic Generalized Category Discovery.
NeurIPS
Jianhong Bai, Zuozhu Liu, Hualiang Wang, Ruizhe Chen, Lianrui Mu, Xiaomeng Li, Joey Tianyi Zhou, Yang Feng, Jian Wu, Haoji Hu
2023 J jnl
Towards Distribution-Agnostic Generalized Category Discovery.
CoRR
Jianhong Bai, Zuozhu Liu, Hualiang Wang, Ruizhe Chen, Lianrui Mu, Xiaomeng Li, Joey Tianyi Zhou, Yang Feng, Jian Wu, Haoji Hu
2023 A* conf
Towards Generic Semi-Supervised Framework for Volumetric Medical Image Segmentation.
NeurIPS
Haonan Wang, Xiaomeng Li
2023 J jnl
Towards Generic Semi-Supervised Framework for Volumetric Medical Image Segmentation.
CoRR
Haonan Wang, Xiaomeng Li
2023 J jnl
Vessel-Promoted OCT to OCTA Image Translation by Heuristic Contextual Constraints.
CoRR
Shuhan Li, Dong Zhang, Xiaomeng Li, Chubin Ou, Lin An, Yanwu Xu, Kwang-Ting Cheng
2022 J jnl
Adaptive Contrast for Image Regression in Computer-Aided Disease Assessment.
IEEE Trans. Medical Imaging
Weihang Dai, Xiaomeng Li, Wan Hang Keith Chiu, Michael David Kuo, Kwang-Ting Cheng
2022 — conf
Calibrating Label Distribution for Class-Imbalanced Barely-Supervised Knee Segmentation.
MICCAI (8)
Yiqun Lin, Huifeng Yao, Zezhong Li, Guoyan Zheng, Xiaomeng Li
2022 J jnl
Calibrating Label Distribution for Class-Imbalanced Barely-Supervised Knee Segmentation.
CoRR
Yiqun Lin, Huifeng Yao, Zezhong Li, Guoyan Zheng, Xiaomeng Li
2022 J jnl
CoCycleReg: Collaborative cycle-consistency method for multi-modal medical image registration.
Neurocomputing
Chenyu Lian, Xiaomeng Li, Lingke Kong, Jiacheng Wang, Wei Zhang, Xiaoyang Huang, Liansheng Wang
2022 J jnl
Cyclical Self-Supervision for Semi-Supervised Ejection Fraction Prediction from Echocardiogram Videos.
CoRR
Weihang Dai, Xiaomeng Li, Xinpeng Ding, Kwang-Ting Cheng
2022 J jnl
Enhancing Pseudo Label Quality for Semi-SupervisedDomain-Generalized Medical Image Segmentation.
CoRR
Huifeng Yao, Xiaowei Hu, Xiaomeng Li
2022 A* conf
Enhancing Pseudo Label Quality for Semi-supervised Domain-Generalized Medical Image Segmentation.
AAAI
Huifeng Yao, Xiaowei Hu, Xiaomeng Li
2022 J jnl
Exploring Language Hierarchy for Video Grounding.
IEEE Trans. Image Process.
Xinpeng Ding, Nannan Wang, Shiwei Zhang, Ziyuan Huang, Xiaomeng Li, Mingqian Tang, Tongliang Liu, Xinbo Gao
2022 J jnl
Exploring Segment-Level Semantics for Online Phase Recognition From Surgical Videos.
IEEE Trans. Medical Imaging
Xinpeng Ding, Xiaomeng Li
2022 J jnl
Exploring Visual Interpretability for Contrastive Language-Image Pre-training.
CoRR
Yi Li, Hualiang Wang, Yiqun Duan, Hang Xu, Xiaomeng Li
2022 J jnl
Free Lunch for Surgical Video Understanding by Distilling Self-Supervisions.
CoRR
Xinpeng Ding, Ziwei Liu, Xiaomeng Li
2022 — conf
Free Lunch for Surgical Video Understanding by Distilling Self-supervisions.
MICCAI (8)
Xinpeng Ding, Ziwei Liu, Xiaomeng Li
2022 J jnl
ImageCAS: A Large-Scale Dataset and Benchmark for Coronary Artery Segmentation based on Computed Tomography Angiography Images.
CoRR
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
2022 — conf
Learning Shadow Correspondence for Video Shadow Detection.
ECCV (17)
Xinpeng Ding, Jingwen Yang, Xiaowei Hu, Xiaomeng Li
2022 J jnl
Learning Shadow Correspondence for Video Shadow Detection.
CoRR
Xinpeng Ding, Jingweng Yang, Xiaowei Hu, Xiaomeng Li
2022 J jnl
Less is More: Surgical Phase Recognition from Timestamp Supervision.
CoRR
Zixun Wang, Xinpeng Ding, Wei Zhao, Xiaomeng Li
2022 — conf
Online Easy Example Mining for Weakly-Supervised Gland Segmentation from Histology Images.
MICCAI (4)
Yi Li, Yiduo Yu, Yiwen Zou, Tianqi Xiang, Xiaomeng Li
2022 J jnl
Online Easy Example Mining for Weakly-supervised Gland Segmentation from Histology Images.
CoRR
Yi Li, Yiduo Yu, Yiwen Zou, Tianqi Xiang, Xiaomeng Li
2022 A* conf
RSCFed: Random Sampling Consensus Federated Semi-supervised Learning.
CVPR
Xiaoxiao Liang, Yiqun Lin, Huazhu Fu, Lei Zhu, Xiaomeng Li
2022 J jnl
RSCFed: Random Sampling Consensus Federated Semi-supervised Learning.
CoRR
Xiaoxiao Liang, Yiqun Lin, Huazhu Fu, Lei Zhu, Xiaomeng Li
2022 — ed.
Resource-Efficient Medical Image Analysis - First MICCAI Workshop, REMIA 2022, Singapore, September 22, 2022, Proceedings
REMIA@MICCAI
Xinxing Xu, Xiaomeng Li, Dwarikanath Mahapatra, Li Cheng, Caroline Petitjean, Huazhu Fu
2022 J jnl
Semi-Supervised Domain Generalization for Cardiac Magnetic Resonance Image Segmentation with High Quality Pseudo Labels.
CoRR
Wanqin Ma, Huifeng Yao, Yiqun Lin, Jiarong Guo, Xiaomeng Li
2022 — conf
Semi-supervised Domain Generalization for Cardiac Magnetic Resonance Image Segmentation with High Quality Pseudo Labels.
STACOM@MICCAI
Wanqin Ma, Huifeng Yao, Yiqun Lin, Jiarong Guo, Xiaomeng Li
2022 A* conf
Separated Contrastive Learning for Organ-at-Risk and Gross-Tumor-Volume Segmentation with Limited Annotation.
AAAI
Jiacheng Wang, Xiaomeng Li, Yiming Han, Jing Qin, Liansheng Wang, Qichao Zhou
2022 J jnl
Sub-cluster-aware Network for Few-shot Skin Disease Classification.
CoRR
Shuhan Li, Xiaomeng Li, Xiaowei Xu, Kwang-Ting Cheng
2022 J jnl
TripleE: Easy Domain Generalization via Episodic Replay.
CoRR
Xiaomeng Li, Hongyu Ren, Huifeng Yao, Ziwei Liu
2022 A* conf
Uncertainty Estimation via Response Scaling for Pseudo-Mask Noise Mitigation in Weakly-Supervised Semantic Segmentation.
AAAI
Yi Li, Yiqun Duan, Zhanghui Kuang, Yimin Chen, Wayne Zhang, Xiaomeng Li
2022 J jnl
WSSS4LUAD: Grand Challenge on Weakly-supervised Tissue Semantic Segmentation for Lung Adenocarcinoma.
CoRR
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
2021 J jnl
Adaptive Contrast for Image Regression in Computer-Aided Disease Assessment.
CoRR
Weihang Dai, Xiaomeng Li, Wan Hang Keith Chiu, Michael David Kuo, Kwang-Ting Cheng
2021 J jnl
Cascaded Robust Learning at Imperfect Labels for Chest X-ray Segmentation.
CoRR
Cheng Xue, Qiao Deng, Xiaomeng Li, Qi Dou, Pheng-Ann Heng
2021 J jnl
Deep Neural Network With Consistency Regularization of Multi-Output Channels for Improved Tumor Detection and Delineation.
IEEE Trans. Medical Imaging
Hyunseok Seo, Lequan Yu, Hongyi Ren, Xiaomeng Li, Liyue Shen, Lei Xing
2021 J jnl
Deep Sinogram Completion With Image Prior for Metal Artifact Reduction in CT Images.
IEEE Trans. Medical Imaging
Lequan Yu, Zhicheng Zhang, Xiaomeng Li, Lei Xing
2021 J jnl
Deep Sub-Region Network for Salient Object Detection.
IEEE Trans. Circuits Syst. Video Technol.
Liansheng Wang, Rongzhen Chen, Lei Zhu, Haoran Xie, Xiaomeng Li
2021 J jnl
Exploiting Segment-level Semantics for Online Phase Recognition from Surgical Videos.
CoRR
Xinpeng Ding, Xiaomeng Li
2021 J jnl
Exploring Feature Representation Learning for Semi-supervised Medical Image Segmentation.
CoRR
Huimin Wu, Xiaomeng Li, Kwang-Ting Cheng
2021 J jnl
Global Guidance Network for Breast Lesion Segmentation in Ultrasound Images.
CoRR
Cheng Xue, Lei Zhu, Huazhu Fu, Xiaowei Hu, Xiaomeng Li, Hai Zhang, PhengAnn Heng
2021 J jnl
Global guidance network for breast lesion segmentation in ultrasound images.
Medical Image Anal.
Cheng Xue, Lei Zhu, Huazhu Fu, Xiaowei Hu, Xiaomeng Li, Hai Zhang, Pheng-Ann Heng
2021 — conf
Improved Heatmap-Based Landmark Detection.
DGM4MICCAI/DALI@MICCAI
Huifeng Yao, Ziyu Guo, Yatao Zhang, Xiaomeng Li
2021 J jnl
Improved Heatmap-based Landmark Detection.
CoRR
Huifeng Yao, Ziyu Guo, Yatao Zhang, Xiaomeng Li
2021 J jnl
Metal Artifact Reduction in 2D CT Images with Self-supervised Cross-domain Learning.
CoRR
Lequan Yu, Zhicheng Zhang, Xiaomeng Li, Hongyi Ren, Wei Zhao, Lei Xing
2021 J jnl
Rotation-Oriented Collaborative Self-Supervised Learning for Retinal Disease Diagnosis.
IEEE Trans. Medical Imaging
Xiaomeng Li, Xiaowei Hu, Xiaojuan Qi, Lequan Yu, Wei Zhao, Pheng-Ann Heng, Lei Xing
2021 J jnl
Separated Contrastive Learning for Organ-at-Risk and Gross-Tumor-Volume Segmentation with Limited Annotation.
CoRR
Jiacheng Wang, Xiaomeng Li, Yiming Han, Jing Qin, Liansheng Wang, Qichao Zhou
2021 A* conf
Support-Set Based Cross-Supervision for Video Grounding.
ICCV
Xinpeng Ding, Nannan Wang, Shiwei Zhang, De Cheng, Xiaomeng Li, Ziyuan Huang, Mingqian Tang, Xinbo Gao
2021 J jnl
Support-Set Based Cross-Supervision for Video Grounding.
CoRR
Xinpeng Ding, Nannan Wang, Shiwei Zhang, De Cheng, Xiaomeng Li, Ziyuan Huang, Mingqian Tang, Xinbo Gao
2021 J jnl
Transformation-Consistent Self-Ensembling Model for Semisupervised Medical Image Segmentation.
IEEE Trans. Neural Networks Learn. Syst.
Xiaomeng Li, Lequan Yu, Hao Chen, Chi-Wing Fu, Lei Xing, Pheng-Ann Heng
2021 J jnl
Uncertainty Estimation via Response Scaling for Pseudo-mask Noise Mitigation in Weakly-supervised Semantic Segmentation.
CoRR
Yi Li, Yiqun Duan, Zhanghui Kuang, Yimin Chen, Wayne Zhang, Xiaomeng Li
2020 J jnl
AGE Challenge: Angle Closure Glaucoma Evaluation in Anterior Segment Optical Coherence Tomography.
CoRR
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
2020 J jnl
AGE challenge: Angle Closure Glaucoma Evaluation in Anterior Segment Optical Coherence Tomography.
Medical Image Anal.
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
2020 J jnl
CANet: Cross-Disease Attention Network for Joint Diabetic Retinopathy and Diabetic Macular Edema Grading.
IEEE Trans. Medical Imaging
Xiaomeng Li, Xiaowei Hu, Lequan Yu, Lei Zhu, Chi-Wing Fu, Pheng-Ann Heng
2020 — conf
Cascaded Robust Learning at Imperfect Labels for Chest X-ray Segmentation.
MICCAI (6)
Cheng Xue, Qiao Deng, Xiaomeng Li, Qi Dou, Pheng-Ann Heng
2020 J jnl
Deep Sinogram Completion with Image Prior for Metal Artifact Reduction in CT Images.
CoRR
Lequan Yu, Zhicheng Zhang, Xiaomeng Li, Lei Xing
2020 — conf
Difficulty-Aware Meta-learning for Rare Disease Diagnosis.
MICCAI (1)
Xiaomeng Li, Lequan Yu, Yueming Jin, Chi-Wing Fu, Lei Xing, Pheng-Ann Heng
2020 J jnl
Revisiting metric learning for few-shot image classification.
Neurocomputing
Xiaomeng Li, Lequan Yu, Chi-Wing Fu, Meng Fang, Pheng-Ann Heng
2020 J jnl
Self-Supervised Feature Learning via Exploiting Multi-Modal Data for Retinal Disease Diagnosis.
IEEE Trans. Medical Imaging
Xiaomeng Li, Mengyu Jia, Md Tauhidul Islam, Lequan Yu, Lei Xing
2020 J jnl
Self-supervised Feature Learning via Exploiting Multi-modal Data for Retinal Disease Diagnosis.
CoRR
Xiaomeng Li, Mengyu Jia, Md Tauhidul Islam, Lequan Yu, Lei Xing
2019 J jnl
CANet: Cross-disease Attention Network for Joint Diabetic Retinopathy and Diabetic Macular Edema Grading.
CoRR
Xiaomeng Li, Xiaowei Hu, Lequan Yu, Lei Zhu, Chi-Wing Fu, Pheng-Ann Heng
2019 J jnl
Difficulty-aware Meta-Learning for Rare Disease Diagnosis.
CoRR
Xiaomeng Li, Lequan Yu, Chi-Wing Fu, Pheng-Ann Heng
2019 J jnl
Revisiting Metric Learning for Few-Shot Image Classification.
CoRR
Xiaomeng Li, Lequan Yu, Chi-Wing Fu, Meng Fang, Pheng-Ann Heng
2019 J jnl
The Liver Tumor Segmentation Benchmark (LiTS).
CoRR
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
2019 J jnl
Transformation Consistent Self-ensembling Model for Semi-supervised Medical Image Segmentation.
CoRR
Xiaomeng Li, Lequan Yu, Hao Chen, Chi-Wing Fu, Pheng-Ann Heng
2019 — conf
Uncertainty-Aware Self-ensembling Model for Semi-supervised 3D Left Atrium Segmentation.
MICCAI (2)
Lequan Yu, Shujun Wang, Xiaomeng Li, Chi-Wing Fu, Pheng-Ann Heng
2019 J jnl
Uncertainty-aware Self-ensembling Model for Semi-supervised 3D Left Atrium Segmentation.
CoRR
Lequan Yu, Shujun Wang, Xiaomeng Li, Chi-Wing Fu, Pheng-Ann Heng
2018 J jnl
3D multi-scale FCN with random modality voxel dropout learning for Intervertebral Disc Localization and Segmentation from Multi-modality MR Images.
Medical Image Anal.
Xiaomeng Li, Qi Dou, Hao Chen, Chi-Wing Fu, Xiaojuan Qi, Daniel L. Belavy, Gabriele Armbrecht, Dieter Felsenberg, Guoyan Zheng, Pheng-Ann Heng
2018 — conf
Deeply Supervised Rotation Equivariant Network for Lesion Segmentation in Dermoscopy Images.
OR 2.0/CARE/CLIP/ISIC@MICCAI
Xiaomeng Li, Lequan Yu, Chi-Wing Fu, Pheng-Ann Heng
2018 J jnl
Deeply Supervised Rotation Equivariant Network for Lesion Segmentation in Dermoscopy Images.
CoRR
Xiaomeng Li, Lequan Yu, Chi-Wing Fu, Pheng-Ann Heng
2018 J jnl
Feature-preserving ultrasound speckle reduction via
Neurocomputing
Lei Zhu, Weiming Wang, Xiaomeng Li, Qiong Wang, Jing Qin, Kin Hong Wong, Kup-Sze Choi, Chi-Wing Fu, Pheng-Ann Heng
2018 J jnl
H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation From CT Volumes.
IEEE Trans. Medical Imaging
Xiaomeng Li, Hao Chen, Xiaojuan Qi, Qi Dou, Chi-Wing Fu, Pheng-Ann Heng
2018 A conf
Semi-supervised Skin Lesion Segmentation via Transformation Consistent Self-ensembling Model.
BMVC
Xiaomeng Li, Lequan Yu, Hao Chen, Chi-Wing Fu, Pheng-Ann Heng
2018 J jnl
Semi-supervised Skin Lesion Segmentation via Transformation Consistent Self-ensembling Model.
CoRR
Xiaomeng Li, Lequan Yu, Hao Chen, Chi-Wing Fu, Pheng-Ann Heng
2017 J jnl
H-DenseUNet: Hybrid Densely Connected UNet for Liver and Liver Tumor Segmentation from CT Volumes.
CoRR
Xiaomeng Li, Hao Chen, Xiaojuan Qi, Qi Dou, Chi-Wing Fu, Pheng-Ann Heng
2016 — conf
Multi-scale and Modality Dropout Learning for Intervertebral Disc Localization and Segmentation.
CSI@MICCAI
Xiaomeng Li, Qi Dou, Hao Chen, Chi-Wing Fu, Pheng-Ann Heng
2016 — conf
Ultrasound Speckle Reduction via L_0 Minimization.
ACCV (3)
Lei Zhu, Weiming Wang, Xiaomeng Li, Qiong Wang, Jing Qin, Kin Hong Wong, Pheng-Ann Heng