Ultrasound Speckle Reduction via L_0 Minimization. - Lei Zhu 003; Weiming Wang 002; Xiaomeng Li 001; Qiong Wang 001; Jing Qin 001; Kin Hong Wong; Pheng-Ann Heng (ACCV (3), 2016)

Multi-scale and Modality Dropout Learning for Intervertebral Disc Localization and Segmentation. - Xiaomeng Li 001; Qi Dou 001; Hao Chen 011; Chi-Wing Fu; Pheng-Ann Heng (CSI@MICCAI, 2016)

H-DenseUNet: Hybrid Densely Connected UNet for Liver and Liver Tumor Segmentation from CT Volumes. - Xiaomeng Li 001; Hao Chen 011; Xiaojuan Qi 001; Qi Dou 001; Chi-Wing Fu; Pheng-Ann Heng (CoRR, 2017)

Semi-supervised Skin Lesion Segmentation via Transformation Consistent Self-ensembling Model. - Xiaomeng Li 001; Lequan Yu; Hao Chen 011; Chi-Wing Fu; Pheng-Ann Heng (BMVC, 2018)

Deeply Supervised Rotation Equivariant Network for Lesion Segmentation in Dermoscopy Images. - Xiaomeng Li 001; Lequan Yu; Chi-Wing Fu; Pheng-Ann Heng (OR 2.0/CARE/CLIP/ISIC@MICCAI, 2018)

Feature-preserving ultrasound speckle reduction via L0 minimization. - Lei Zhu 003; Weiming Wang 002; Xiaomeng Li 001; Qiong Wang 001; Jing Qin 001; Kin Hong Wong; Kup-Sze Choi; Chi-Wing Fu; Pheng-Ann Heng (Neurocomputing, 2018)

3D multi-scale FCN with random modality voxel dropout learning for Intervertebral Disc Localization and Segmentation from Multi-modality MR Images. - Xiaomeng Li 001; Qi Dou 001; Hao Chen 011; Chi-Wing Fu; Xiaojuan Qi 001; Daniel L. Belavy; Gabriele Armbrecht; Dieter Felsenberg; Guoyan Zheng; Pheng-Ann Heng (Medical Image Anal., 2018)

H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation From CT Volumes. - Xiaomeng Li 001; Hao Chen 011; Xiaojuan Qi 001; Qi Dou 001; Chi-Wing Fu; Pheng-Ann Heng (IEEE Trans. Medical Imaging, 2018)

Uncertainty-Aware Self-ensembling Model for Semi-supervised 3D Left Atrium Segmentation. - Lequan Yu; Shujun Wang; Xiaomeng Li 001; Chi-Wing Fu; Pheng-Ann Heng (MICCAI (2), 2019)

The Liver Tumor Segmentation Benchmark (LiTS). - Patrick Bilic; Patrick Ferdinand Christ; Eugene Vorontsov; Grzegorz Chlebus; Hao Chen 011; Qi Dou 001; Chi-Wing Fu; Xiao Han; Pheng-Ann Heng; Jürgen Hesser; Samuel Kadoury; Tomasz K. Konopczynski; et al. (CoRR, 2019)

Transformation Consistent Self-ensembling Model for Semi-supervised Medical Image Segmentation. - Xiaomeng Li 001; Lequan Yu; Hao Chen 011; Chi-Wing Fu; Pheng-Ann Heng (CoRR, 2019)

Difficulty-aware Meta-Learning for Rare Disease Diagnosis. - Xiaomeng Li 001; Lequan Yu; Chi-Wing Fu; Pheng-Ann Heng (CoRR, 2019)

Difficulty-Aware Meta-learning for Rare Disease Diagnosis. - Xiaomeng Li 001; Lequan Yu; Yueming Jin; Chi-Wing Fu; Lei Xing 001; Pheng-Ann Heng (MICCAI (1), 2020)

Cascaded Robust Learning at Imperfect Labels for Chest X-ray Segmentation. - Cheng Xue; Qiao Deng; Xiaomeng Li 001; Qi Dou 001; Pheng-Ann Heng (MICCAI (6), 2020)

AGE Challenge: Angle Closure Glaucoma Evaluation in Anterior Segment Optical Coherence Tomography. - Huazhu Fu; Fei Li 021; Xu Sun 006; Xingxing Cao; Jingan Liao; José Ignacio Orlando; Xing Tao; Yuexiang Li; Shihao Zhang; Mingkui Tan; Chenglang Yuan; Cheng Bian; et al. (CoRR, 2020)

Revisiting metric learning for few-shot image classification. - Xiaomeng Li 001; Lequan Yu; Chi-Wing Fu; Meng Fang; Pheng-Ann Heng (Neurocomputing, 2020)

AGE challenge: Angle Closure Glaucoma Evaluation in Anterior Segment Optical Coherence Tomography. - Huazhu Fu; Fei Li 021; Xu Sun 006; Xingxing Cao; Jingan Liao; José Ignacio Orlando; Xing Tao; Yuexiang Li; Shihao Zhang; Mingkui Tan; Chenglang Yuan; Cheng Bian; et al. (Medical Image Anal., 2020)

CANet: Cross-Disease Attention Network for Joint Diabetic Retinopathy and Diabetic Macular Edema Grading. - Xiaomeng Li 001; Xiaowei Hu 001; Lequan Yu; Lei Zhu 003; Chi-Wing Fu; Pheng-Ann Heng (IEEE Trans. Medical Imaging, 2020)

Self-Supervised Feature Learning via Exploiting Multi-Modal Data for Retinal Disease Diagnosis. - Xiaomeng Li 001; Mengyu Jia; Md Tauhidul Islam; Lequan Yu; Lei Xing 001 (IEEE Trans. Medical Imaging, 2020)

Support-Set Based Cross-Supervision for Video Grounding. - Xinpeng Ding; Nannan Wang 001; Shiwei Zhang 001; De Cheng; Xiaomeng Li 001; Ziyuan Huang; Mingqian Tang; Xinbo Gao 001 (ICCV, 2021)

Improved Heatmap-Based Landmark Detection. - Huifeng Yao; Ziyu Guo; Yatao Zhang; Xiaomeng Li 001 (DGM4MICCAI/DALI@MICCAI, 2021)

Metal Artifact Reduction in 2D CT Images with Self-supervised Cross-domain Learning. - Lequan Yu; Zhicheng Zhang; Xiaomeng Li 001; Hongyi Ren; Wei Zhao 029; Lei Xing 001 (CoRR, 2021)

Exploiting Segment-level Semantics for Online Phase Recognition from Surgical Videos. - Xinpeng Ding; Xiaomeng Li 001 (CoRR, 2021)

Global guidance network for breast lesion segmentation in ultrasound images. - Cheng Xue; Lei Zhu 003; Huazhu Fu; Xiaowei Hu 001; Xiaomeng Li 001; Hai Zhang; Pheng-Ann Heng (Medical Image Anal., 2021)

Deep Sub-Region Network for Salient Object Detection. - Liansheng Wang; Rongzhen Chen; Lei Zhu 003; Haoran Xie 001; Xiaomeng Li 001 (IEEE Trans. Circuits Syst. Video Technol., 2021)

A Relation-Based Semisupervised Method for Gearbox Fault Diagnosis With Limited Labeled Samples. - Hulin Ruan; Yi Wang 043; Xiaomeng Li 001; Yi Qin 004; Baoping Tang; Ping Wang 063 (IEEE Trans. Instrum. Meas., 2021)

Rotation-Oriented Collaborative Self-Supervised Learning for Retinal Disease Diagnosis. - Xiaomeng Li 001; Xiaowei Hu 001; Xiaojuan Qi 001; Lequan Yu; Wei Zhao 029; Pheng-Ann Heng; Lei Xing 001 (IEEE Trans. Medical Imaging, 2021)

Deep Neural Network With Consistency Regularization of Multi-Output Channels for Improved Tumor Detection and Delineation. - Hyunseok Seo; Lequan Yu; Hongyi Ren; Xiaomeng Li 001; Liyue Shen; Lei Xing 001 (IEEE Trans. Medical Imaging, 2021)

Deep Sinogram Completion With Image Prior for Metal Artifact Reduction in CT Images. - Lequan Yu; Zhicheng Zhang; Xiaomeng Li 001; Lei Xing 001 (IEEE Trans. Medical Imaging, 2021)

Transformation-Consistent Self-Ensembling Model for Semisupervised Medical Image Segmentation. - Xiaomeng Li 001; Lequan Yu; Hao Chen 011; Chi-Wing Fu; Lei Xing 001; Pheng-Ann Heng (IEEE Trans. Neural Networks Learn. Syst., 2021)

Uncertainty Estimation via Response Scaling for Pseudo-Mask Noise Mitigation in Weakly-Supervised Semantic Segmentation. - Yi Li 050; Yiqun Duan; Zhanghui Kuang; Yimin Chen; Wayne Zhang 001; Xiaomeng Li 001 (AAAI, 2022)

Separated Contrastive Learning for Organ-at-Risk and Gross-Tumor-Volume Segmentation with Limited Annotation. - Jiacheng Wang 002; Xiaomeng Li 001; Yiming Han; Jing Qin 001; Liansheng Wang; Qichao Zhou (AAAI, 2022)

Enhancing Pseudo Label Quality for Semi-supervised Domain-Generalized Medical Image Segmentation. - Huifeng Yao; Xiaowei Hu 001; Xiaomeng Li 001 (AAAI, 2022)

RSCFed: Random Sampling Consensus Federated Semi-supervised Learning. - Xiaoxiao Liang; Yiqun Lin; Huazhu Fu; Lei Zhu 003; Xiaomeng Li 001 (CVPR, 2022)

Learning Shadow Correspondence for Video Shadow Detection. - Xinpeng Ding; Jingwen Yang; Xiaowei Hu 001; Xiaomeng Li 001 (ECCV (17), 2022)

Free Lunch for Surgical Video Understanding by Distilling Self-supervisions. - Xinpeng Ding; Ziwei Liu 002; Xiaomeng Li 001 (MICCAI (8), 2022)

Online Easy Example Mining for Weakly-Supervised Gland Segmentation from Histology Images. - Yi Li 050; Yiduo Yu; Yiwen Zou; Tianqi Xiang 001; Xiaomeng Li 001 (MICCAI (4), 2022)

Calibrating Label Distribution for Class-Imbalanced Barely-Supervised Knee Segmentation. - Yiqun Lin; Huifeng Yao; Zezhong Li; Guoyan Zheng; Xiaomeng Li 001 (MICCAI (8), 2022)

Semi-supervised Domain Generalization for Cardiac Magnetic Resonance Image Segmentation with High Quality Pseudo Labels. - Wanqin Ma; Huifeng Yao; Yiqun Lin; Jiarong Guo; Xiaomeng Li 001 (STACOM@MICCAI, 2022)

Enhancing Pseudo Label Quality for Semi-SupervisedDomain-Generalized Medical Image Segmentation. - Huifeng Yao; Xiaowei Hu 001; Xiaomeng Li 001 (CoRR, 2022)

Less is More: Surgical Phase Recognition from Timestamp Supervision. - Zixun Wang; Xinpeng Ding; Wei Zhao 029; Xiaomeng Li 001 (CoRR, 2022)

WSSS4LUAD: Grand Challenge on Weakly-supervised Tissue Semantic Segmentation for Lung Adenocarcinoma. - Chu Han; Xipeng Pan; Lixu Yan; Huan Lin; Bingbing Li; Su Yao; Shanshan Lv; Zhenwei Shi; Jinhai Mai; Jiatai Lin; Bingchao Zhao; Zeyan Xu; et al. (CoRR, 2022)

Sub-cluster-aware Network for Few-shot Skin Disease Classification. - Shuhan Li; Xiaomeng Li 001; Xiaowei Xu 004; Kwang-Ting Cheng (CoRR, 2022)

Learning Shadow Correspondence for Video Shadow Detection. - Xinpeng Ding; Jingweng Yang; Xiaowei Hu 001; Xiaomeng Li 001 (CoRR, 2022)

Exploring Visual Interpretability for Contrastive Language-Image Pre-training. - Yi Li 050; Hualiang Wang; Yiqun Duan; Hang Xu 004; Xiaomeng Li 001 (CoRR, 2022)

TripleE: Easy Domain Generalization via Episodic Replay. - Xiaomeng Li 001; Hongyu Ren; Huifeng Yao; Ziwei Liu 002 (CoRR, 2022)

ImageCAS: A Large-Scale Dataset and Benchmark for Coronary Artery Segmentation based on Computed Tomography Angiography Images. - An Zeng; Chunbiao Wu; Meiping Huang; Jian Zhuang; Shanshan Bi; Dan Pan 001; Najeeb Ullah; Kaleem Nawaz Khan; Tianchen Wang; Yiyu Shi 001; Xiaomeng Li 001; Guisen Lin; et al. (CoRR, 2022)

CoCycleReg: Collaborative cycle-consistency method for multi-modal medical image registration. - Chenyu Lian; Xiaomeng Li 001; Lingke Kong; Jiacheng Wang 002; Wei Zhang 010; Xiaoyang Huang; Liansheng Wang (Neurocomputing, 2022)

Dynamic Evaluation of Degradation Space Variation for Machine Condition Monitoring. - Guangyao Zhang; Yi Wang 043; Xiaomeng Li 001; Yi Qin 004; Baoping Tang (IEEE Trans. Instrum. Meas., 2022)

Exploring Language Hierarchy for Video Grounding. - Xinpeng Ding; Nannan Wang 001; Shiwei Zhang 001; Ziyuan Huang; Xiaomeng Li 001; Mingqian Tang; Tongliang Liu; Xinbo Gao 001 (IEEE Trans. Image Process., 2022)

Adaptive Contrast for Image Regression in Computer-Aided Disease Assessment. - Weihang Dai; Xiaomeng Li 001; Wan Hang Keith Chiu; Michael David Kuo; Kwang-Ting Cheng (IEEE Trans. Medical Imaging, 2022)

Exploring Segment-Level Semantics for Online Phase Recognition From Surgical Videos. - Xinpeng Ding; Xiaomeng Li 001 (IEEE Trans. Medical Imaging, 2022)

Semi-Supervised Deep Regression with Uncertainty Consistency and Variational Model Ensembling via Bayesian Neural Networks. - Weihang Dai; Xiaomeng Li 001; Kwang-Ting Cheng (AAAI, 2023)

CLIPN for Zero-Shot OOD Detection: Teaching CLIP to Say No. - Hualiang Wang; Yi Li 050; Huifeng Yao; Xiaomeng Li 001 (ICCV, 2023)

GraphEcho: Graph-Driven Unsupervised Domain Adaptation for Echocardiogram Video Segmentation. - Jiewen Yang; Xinpeng Ding; Ziyang Zheng; Xiaowei Xu 004; Xiaomeng Li 001 (ICCV, 2023)

Radiomics-Informed Deep Learning for Classification of Atrial Fibrillation Sub-Types from Left-Atrium CT Volumes. - Weihang Dai; Xiaomeng Li 001; Taihui Yu; Di Zhao; Jun Shen 008; Kwang-Ting Cheng (MICCAI (7), 2023)

SEDSkill: Surgical Events Driven Method for Skill Assessment from Thoracoscopic Surgical Videos. - Xinpeng Ding; Xiaowei Xu 004; Xiaomeng Li 001 (MICCAI (9), 2023)

Federated Model Aggregation via Self-supervised Priors for Highly Imbalanced Medical Image Classification. - Marawan Elbatel; Hualiang Wang; Robert Martí; Huazhu Fu; Xiaomeng Li 001 (ISIC/Care-AI/MedAGI/DeCaF@MICCAI, 2023)

Context-Aware Pseudo-label Refinement for Source-Free Domain Adaptive Fundus Image Segmentation. - Zheang Huai; Xinpeng Ding; Yi Li 050; Xiaomeng Li 001 (MICCAI (7), 2023)

Learning Deep Intensity Field for Extremely Sparse-View CBCT Reconstruction. - Yiqun Lin; Zhongjin Luo; Wei Zhao 029; Xiaomeng Li 001 (MICCAI (10), 2023)

Fundus-Enhanced Disease-Aware Distillation Model for Retinal Disease Classification from OCT Images. - Lehan Wang; Weihang Dai; Mei Jin; Chubin Ou; Xiaomeng Li 001 (MICCAI (7), 2023)

GL-Fusion: Global-Local Fusion Network for Multi-view Echocardiogram Video Segmentation. - Ziyang Zheng; Jiewen Yang; Xinpeng Ding; Xiaowei Xu 004; Xiaomeng Li 001 (MICCAI (4), 2023)

Towards Distribution-Agnostic Generalized Category Discovery. - Jianhong Bai; Zuozhu Liu; Hualiang Wang; Ruizhe Chen; Lianrui Mu; Xiaomeng Li 001; Joey Tianyi Zhou; Yang Feng 011; Jian Wu 001; Haoji Hu (NeurIPS, 2023)

Semi-Supervised Contrastive Learning for Deep Regression with Ordinal Rankings from Spectral Seriation. - Weihang Dai; Yao Du; Hanru Bai; Kwang-Ting Cheng; Xiaomeng Li 001 (NeurIPS, 2023)

DiffCMR: Fast Cardiac MRI Reconstruction with Diffusion Probabilistic Models. - Tianqi Xiang 001; Wenjun Yue; Yiqun Lin; Jiewen Yang; Zhenkun Wang 001; Xiaomeng Li 001 (STACOM@MICCAI, 2023)

CgAT: Center-Guided Adversarial Training for Deep Hashing-Based Retrieval. - Xunguang Wang; Yiqun Lin; Xiaomeng Li 001 (WWW, 2023)

Vessel-Promoted OCT to OCTA Image Translation by Heuristic Contextual Constraints. - Shuhan Li; Dong Zhang; Xiaomeng Li 001; Chubin Ou; Lin An; Yanwu Xu 003; Kwang-Ting Cheng (CoRR, 2023)

CLIP Surgery for Better Explainability with Enhancement in Open-Vocabulary Tasks. - Yi Li 050; Hualiang Wang; Yiqun Duan; Xiaomeng Li 001 (CoRR, 2023)

FSDiffReg: Feature-wise and Score-wise Diffusion-guided Unsupervised Deformable Image Registration for Cardiac Images. - Yi Qin 004; Xiaomeng Li 001 (CoRR, 2023)

HiLM-D: Towards High-Resolution Understanding in Multimodal Large Language Models for Autonomous Driving. - Xinpeng Ding; Jianhua Han; Hang Xu 004; Wei Zhang 010; Xiaomeng Li 001 (CoRR, 2023)

The Liver Tumor Segmentation Benchmark (LiTS). - Patrick Bilic; Patrick Ferdinand Christ; Hongwei Li 004; Eugene Vorontsov; Avi Ben-Cohen; Georgios Kaissis; Adi Szeskin; Colin Jacobs; Gabriel Efrain Humpire Mamani; Gabriel Chartrand; Fabian Lohöfer; Julian Walter Holch; et al. (Medical Image Anal., 2023)

Deep Manifold Learning for Weak Signal Detection. - Xiaomeng Li 001; Yi Wang 043; Hulin Ruan; Baoping Tang; Yi Qin 004 (IEEE Trans. Instrum. Meas., 2023)

Cyclical Self-Supervision for Semi-Supervised Ejection Fraction Prediction From Echocardiogram Videos. - Weihang Dai; Xiaomeng Li 001; Xinpeng Ding; Kwang-Ting Cheng (IEEE Trans. Medical Imaging, 2023)

Less Is More: Surgical Phase Recognition From Timestamp Supervision. - Xinpeng Ding; Xinjian Yan; Zixun Wang; Wei Zhao 029; Jian Zhuang; Xiaowei Xu 004; Xiaomeng Li 001 (IEEE Trans. Medical Imaging, 2023)

ImageCAS: A large-scale dataset and benchmark for coronary artery segmentation based on computed tomography angiography images. - An Zeng; Chunbiao Wu; Guisen Lin; Wen Xie; Jin Hong; Meiping Huang; Jian Zhuang; Shanshan Bi; Dan Pan 001; Najeeb Ullah; Kaleem Nawaz Khan; Tianchen Wang; et al. (Comput. Medical Imaging Graph., 2023)

Spectrum and Style Transformation Framework for Omni-Domain COVID-19 Diagnosis. - Zhenkun Wang 001; Shuangchun Gui; Xinpeng Ding; Xiaowei Hu 001; Xiaowei Xu 004; Xiaomeng Li 001 (IEEE Trans. Emerg. Top. Comput. Intell., 2023)

Compete to Win: Enhancing Pseudo Labels for Barely-Supervised Medical Image Segmentation. - Huimin Wu 001; Xiaomeng Li 001; Yiqun Lin; Kwang-Ting Cheng (IEEE Trans. Medical Imaging, 2023)

A clinically applicable AI system for diagnosis of congenital heart diseases based on computed tomography images. - Xiaowei Xu 004; Qianjun Jia; Haiyun Yuan; Hailong Qiu; Yuhao Dong; Wen Xie; Zeyang Yao; Jiawei Zhang; Zhiqaing Nie; Xiaomeng Li 001; Yiyu Shi 001; James Y. Zou; et al. (Medical Image Anal., 2023)

Holistic Autonomous Driving Understanding by Bird'View Injected Multi-Modal Large Models. - Xinpeng Ding; Jianhua Han; Hang Xu 004; Xiaodan Liang; Wei Zhang 010; Xiaomeng Li 001 (CVPR, 2024)

C2RV: Cross-Regional and Cross-View Learning for Sparse-View CBCT Reconstruction. - Yiqun Lin; Jiewen Yang; Hualiang Wang; Xinpeng Ding; Wei Zhao 029; Xiaomeng Li 001 (CVPR, 2024)

M3-UDA: A New Benchmark for Unsupervised Domain Adaptive Fetal Cardiac Structure Detection. - Bin Pu; Liwen Wang; Jiewen Yang; Guannan He; Xingbo Dong; Shengli Li 001; Ying Tan; Ming Chen; Zhe Jin; Kenli Li 001; Xiaomeng Li 001 (CVPR, 2024)

Teach CLIP to Develop a Number Sense for Ordinal Regression. - Yao Du; Qiang Zhai; Weihang Dai; Xiaomeng Li 001 (ECCV (85), 2024)

CardiacNet: Learning to Reconstruct Abnormalities for Cardiac Disease Assessment from Echocardiogram Videos. - Jiewen Yang; Yiqun Lin; Bin Pu; Jiarong Guo; Xiaowei Xu 004; Xiaomeng Li 001 (ECCV (23), 2024)

Multimodal Survival Ensemble Network: Integrating Genomic and Histopathological Insights for Enhanced Cancer Prognosis. - Chenyi Zhou; Hualiang Wang; Xiaomeng Li 001; Wanlu Liu; Zuozhu Liu (ICASSP, 2024)

Unsupervised Domain Adaptation for Anatomical Structure Detection in Ultrasound Images. - Bin Pu; Xingguo Lv; Jiewen Yang; Guannan He; Xingbo Dong; Yiqun Lin; Shengli Li 001; Tan Ying; Fei Liu; Ming Chen; Zhe Jin; Kenli Li 001; et al. (ICML, 2024)

Spatial-Division Augmented Occupancy Field for Bone Shape Reconstruction from Biplanar X-Rays. - Jixiang Chen; Yiqun Lin; Haoran Sun; Xiaomeng Li 001 (MICCAI (7), 2024)

HiA: Towards Chinese Multimodal LLMs for Comparative High-Resolution Joint Diagnosis. - Xinpeng Ding; Yongqiang Chu; Renjie Pi; Hualiang Wang; Xiaomeng Li 001 (MICCAI (12), 2024)

An Organism Starts with a Single Pix-Cell: A Neural Cellular Diffusion for High-Resolution Image Synthesis. - Marawan Elbatel; Konstantinos Kamnitsas; Xiaomeng Li 001 (MICCAI (1), 2024)

FD-SOS: Vision-Language Open-Set Detectors for Bone Fenestration and Dehiscence Detection from Intraoral Images. - Marawan Elbatel; Keyuan Liu; Yanqi Yang; Xiaomeng Li 001 (MICCAI (3), 2024)

Few-Shot Lymph Node Metastasis Classification Meets High Performance on Whole Slide Images via the Informative Non-parametric Classifier. - Yi Li 050; Qixiang Zhang; Tianqi Xiang 001; Yiqun Lin; Qingling Zhang 006; Xiaomeng Li 001 (MICCAI (12), 2024)

Learning 3D Gaussians for Extremely Sparse-View Cone-Beam CT Reconstruction. - Yiqun Lin; Hualiang Wang; Jixiang Chen; Xiaomeng Li 001 (MICCAI (7), 2024)

Tri-Plane Mamba: Efficiently Adapting Segment Anything Model for 3D Medical Images. - Hualiang Wang; Yiqun Lin; Xinpeng Ding; Xiaomeng Li 001 (MICCAI (9), 2024)

Bidirectional Recurrence for Cardiac Motion Tracking with Gaussian Process Latent Coding. - Jiewen Yang; Yiqun Lin; Bin Pu; Xiaomeng Li 001 (NeurIPS, 2024)

Holistic Autonomous Driving Understanding by Bird's-Eye-View Injected Multi-Modal Large Models. - Xinpeng Ding; Jianhua Han; Hang Xu 004; Xiaodan Liang; Wei Zhang 010; Xiaomeng Li 001 (CoRR, 2024)

Fair Evaluation of Federated Learning Algorithms for Automated Breast Density Classification: The Results of the 2022 ACR-NCI-NVIDIA Federated Learning Challenge. - Kendall Schmidt; Ben Bearce; Ken Chang; Laura Coombs; Keyvan Farahani; Marawan Elbatel; Kaouther Mouheb; Robert Marti; Ruipeng Zhang; Yao Zhang 010; Yanfeng Wang 001; Yaojun Hu; et al. (CoRR, 2024)

C^2RV: Cross-Regional and Cross-View Learning for Sparse-View CBCT Reconstruction. - Yiqun Lin; Jiewen Yang; Hualiang Wang; Xinpeng Ding; Wei Zhao 029; Xiaomeng Li 001 (CoRR, 2024)

Learning Unlabeled Clients Divergence via Anchor Model Aggregation for Federated Semi-supervised Learning. - Marawan Elbatel; Hualiang Wang; Jixiang Chen; Hao Wang; Xiaomeng Li 001 (CoRR, 2024)

CoMoTo: Unpaired Cross-Modal Lesion Distillation Improves Breast Lesion Detection in Tomosynthesis. - Muhammad Alberb; Marawan Elbatel; Aya Elgebaly; Ricardo Montoya-del-Angel; Xiaomeng Li 001; Robert Martí (CoRR, 2024)

Collaborative Knowledge Fusion: A Novel Approach for Multi-task Recommender Systems via LLMs. - Chuang Zhao 002; Xing Su; Ming He; Hongke Zhao; Jianping Fan 007; Xiaomeng Li 001 (CoRR, 2024)

Vessel-promoted OCT to OCTA image translation by heuristic contextual constraints. - Shuhan Li; Dong Zhang; Xiaomeng Li 001; Chubin Ou; Lin An; Yanwu Xu 001; Weihua Yang; Yanchun Zhang; Kwang-Ting Cheng (Medical Image Anal., 2024)

Fair evaluation of federated learning algorithms for automated breast density classification: The results of the 2022 ACR-NCI-NVIDIA federated learning challenge. - Kendall Schmidt; Benjamin Bearce; Ken Chang; Laura Coombs; Keyvan Farahani; Marawan Elbatel; Kaouther Mouheb; Robert Marti; Ruipeng Zhang; Ya Zhang 002; Yanfeng Wang 001; Yaojun Hu; et al. (Medical Image Anal., 2024)

Video-based face outline recognition. - Xingbo Dong; Jiewen Yang; Andrew Beng Jin Teoh; Dahai Yu; Xiaomeng Li 001; Zhe Jin (Pattern Recognit., 2024)

Learning Unlabeled Clients Divergence for Federated Semi-Supervised Learning via Anchor Model Aggregation. - Marawan Elbatel; Hualiang Wang; Jixiang Chen; Hao Wang; Xiaomeng Li 001 (Trans. Mach. Learn. Res., 2024)

FoPro-KD: Fourier Prompted Effective Knowledge Distillation for Long-Tailed Medical Image Recognition. - Marawan Elbatel; Robert Martí; Xiaomeng Li 001 (IEEE Trans. Medical Imaging, 2024)

Exploiting Hierarchical Interactions for Protein Surface Learning. - Yiqun Lin; Liang Pan; Yi Li 050; Ziwei Liu 002; Xiaomeng Li 001 (IEEE J. Biomed. Health Informatics, 2024)

Cross-Domain Recommendation via Progressive Structural Alignment. - Chuang Zhao 002; Hongke Zhao; Xiaomeng Li 001; Ming He; Jiahui Wang; Jianping Fan 007 (IEEE Trans. Knowl. Data Eng., 2024)

Exploring Feature Representation Learning for Semi-Supervised Medical Image Segmentation. - Huimin Wu 001; Xiaomeng Li 001; Kwang-Ting Cheng (IEEE Trans. Neural Networks Learn. Syst., 2024)

Enhancing Precision Drug Recommendations via In-Depth Exploration of Motif Relationships. - Chuang Zhao 002; Hongke Zhao; Xiaofang Zhou 001; Xiaomeng Li 001 (IEEE Trans. Knowl. Data Eng., 2024)

Leveraging Anatomical Consistency for Multi-Object Detection in Ultrasound Images via Source-free Unsupervised Domain Adaptation. - Bin Pu; Xingguo Lv; Jiewen Yang; Xingbo Dong; Yiqun Lin; Shengli Li 001; Kenli Li 001; Xiaomeng Li 001 (AAAI, 2025)

MuTri: Multi-view Tri-alignment for OCT to OCTA 3D Image Translation. - Zhuangzhuang Chen; Hualiang Wang; Chubin Ou; Xiaomeng Li 001 (CVPR, 2025)

Interpretable Bilingual Multimodal Large Language Model for Diverse Biomedical Tasks. - Lehan Wang; Haonan Wang; Honglong Yang; Jiaji Mao; Zehong Yang; Jun Shen 008; Xiaomeng Li 001 (ICLR, 2025)

Unveiling Discrete Clues: Superior Healthcare Predictions for Rare Diseases. - Chuang Zhao 002; Hui Tang; Jiheng Zhang; Xiaomeng Li 001 (WWW, 2025)

PSFHS challenge report: Pubic symphysis and fetal head segmentation from intrapartum ultrasound images. - Jieyun Bai; Zihao Zhou; Zhanhong Ou; Gregor Köhler; Raphael Stock; Klaus H. Maier-Hein; Marawan Elbatel; Robert Martí; Xiaomeng Li 001; Yaoyang Qiu; Panjie Gou; Gongping Chen; et al. (Medical Image Anal., 2025)

Corrigendum to "PSFHS challenge report: pubic symphysis and fetal head segmentation from intrapartum ultrasound images" [Medical Image Analysis 99 (2025),103353]. - Jieyun Bai; Zihao Zhou; Zhanhong Ou; Gregor Köhler; Raphael Stock; Klaus H. Maier-Hein; Marawan Elbatel; Robert Martí; Xiaomeng Li 001; Yaoyang Qiu; Panjie Gou; Gongping Chen; et al. (Medical Image Anal., 2025)

A new dataset and versatile multi-task surgical workflow analysis framework for thoracoscopic mitral valvuloplasty. - Meng Lan; Weixin Si; Xinjian Yan; Xiaomeng Li 001 (Medical Image Anal., 2025)

Domain knowledge based comprehensive segmentation of Type-A aortic dissection with clinically-oriented evaluation. - Shanshan Song; Hailong Qiu; Meiping Huang; Jian Zhuang; Qing Lu 001; Yiyu Shi 001; Xiaomeng Li 001; Wen Xie; Guang Tong; Xiaowei Xu 004 (Medical Image Anal., 2025)

A closer look at the explainability of Contrastive language-image pre-training. - Yi Li 050; Hualiang Wang; Yiqun Duan; Jiheng Zhang; Xiaomeng Li 001 (Pattern Recognit., 2025)

Constrained multi-scale dense connections for biomedical image segmentation. - Jiawei Zhang; Yanchun Zhang; Hailong Qiu; Tianchen Wang; Xiaomeng Li 001; Shanfeng Zhu; Meiping Huang; Jian Zhuang; Yiyu Shi 001; Xiaowei Xu 004 (Pattern Recognit., 2025)

Dynamic Subcluster-Aware Network for Few-Shot Skin Disease Classification. - Shuhan Li; Xiaomeng Li 001; Xiaowei Xu 004; Kwang-Ting Cheng (IEEE Trans. Neural Networks Learn. Syst., 2025)

GlandSAM: Injecting Morphology Knowledge Into Segment Anything Model for Label-Free Gland Segmentation. - Qixiang Zhang; Yi Li 050; Cheng Xue; Haonan Wang; Xiaomeng Li 001 (IEEE Trans. Medical Imaging, 2025)

PaMi-VDPO: Mitigating Video Hallucinations by Prompt-Aware Multi-Instance Video Preference Learning. - Xinpeng Ding; Kui Zhang; Jianhua Han; Lanqing Hong; Hang Xu 004; Xiaomeng Li 001 (CoRR, 2025)

MultiEYE: Dataset and Benchmark for OCT-Enhanced Retinal Disease Recognition From Fundus Images. - Lehan Wang; Chongchong Qi; Chubin Ou; Lin An; Mei Jin; Xiangbin Kong; Xiaomeng Li 001 (IEEE Trans. Medical Imaging, 2025)

DeepSparse: A Foundation Model for Sparse-View CBCT Reconstruction. - Yiqun Lin; Hualiang Wang; Jixiang Chen; Jiewen Yang; Jiarong Guo; Xiaomeng Li 001 (CoRR, 2025)

Concept-Based Unsupervised Domain Adaptation. - Xinyue Xu; Yueying Hu; Hui Tang; Yi Qin 004; Lu Mi; Hao Wang; Xiaomeng Li 001 (CoRR, 2025)

Multi-Modal Explainable Medical AI Assistant for Trustworthy Human-AI Collaboration. - Honglong Yang; Shanshan Song; Yi Qin 004; Lehan Wang; Haonan Wang; Xinpeng Ding; Qixiang Zhang; Bodong Du; Xiaomeng Li 001 (CoRR, 2025)

AI-Enabled Accurate Non-Invasive Assessment of Pulmonary Hypertension Progression via Multi-Modal Echocardiography. - Jiewen Yang; Taoran Huang; Shangwei Ding; Xiaowei Xu 004; Qinhua Zhao; Yong Jiang; Jiarong Guo; Bin Pu; Jiexuan Zheng; Caojin Zhang; Hongwen Fei; Xiaomeng Li 001 (CoRR, 2025)

Leveraging Segment Anything Model for Source-Free Domain Adaptation via Dual Feature Guided Auto-Prompting. - Zheang Huai; Hui Tang; Yi Li 050; Zhuangzhuang Chen; Xiaomeng Li 001 (CoRR, 2025)

UniEval: Unified Holistic Evaluation for Unified Multimodal Understanding and Generation. - Yi Li 050; Haonan Wang; Qixiang Zhang; Boyu Xiao; Chenchang Hu; Hualiang Wang; Xiaomeng Li 001 (CoRR, 2025)

Diffmv: A Unified Diffusion Framework for Healthcare Predictions with Random Missing Views and View Laziness. - Chuang Zhao 002; Hui Tang; Hongke Zhao; Xiaomeng Li 001 (CoRR, 2025)

Token Activation Map to Visually Explain Multimodal LLMs. - Yi Li 050; Hualiang Wang; Xinpeng Ding; Haonan Wang; Xiaomeng Li 001 (CoRR, 2025)

HResFormer: Hybrid Residual Transformer for Volumetric Medical Image Segmentation. - Sucheng Ren; Xiaomeng Li 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

Extreme Cardiac MRI Analysis under Respiratory Motion: Results of the CMRxMotion Challenge. - Kang Wang 004; Chen Qin; Zhang Shi; Haoran Wang 009; Xiwen Zhang; Chen Chen 042; Cheng Ouyang; Chengliang Dai; Yuanhan Mo; Chenchen Dai; Xutong Kuang; Ruizhe Li; et al. (CoRR, 2025)

Beyond Sequential Patterns: Rethinking Healthcare Predictions with Contextual Insights. - Chuang Zhao 002; Hui Tang; Hongke Zhao; Xiaomeng Li 001 (ACM Trans. Inf. Syst., 2025)

MOC: Meta-Optimized Classifier for Few-Shot Whole Slide Image Classification. - Tianqi Xiang 001; Yi Li 050; Qixiang Zhang; Xiaomeng Li 001 (CoRR, 2025)

HiLM-D: Enhancing MLLMs with Multi-scale High-Resolution Details for Autonomous Driving. - Xinpeng Ding; Jianhua Han; Hang Xu 004; Wei Zhang 010; Xiaomeng Li 001 (Int. J. Comput. Vis., 2025)

Cross-domain Transfer of Valence Preferences via a Meta-optimization Approach. - Chuang Zhao 002; Hongke Zhao; Ming He; Xiaomeng Li 001; Jianping Fan 007 (ACM Trans. Web, 2025)

Collaborative Knowledge Fusion: A Novel Method for Multi-Task Recommender Systems via LLMs. - Chuang Zhao 002; Xing Su; Ming He; Hongke Zhao; Jianping Fan 007; Xiaomeng Li 001 (IEEE Trans. Knowl. Data Eng., 2025)

SegMIC: A universal model for medical image segmentation through in-context learning. - Jianwei Zhao; Fan Yang 054; Xin Li 079; Zhicheng Jiao; Qiang Zhai; Xiaomeng Li 001; De Wu; Huazhu Fu; Hong Cheng 002 (Pattern Recognit., 2026)