Beacon Tracking with an Embedded Omni-vision System. - Huazhu Fu; Zuoliang Cao; Juha Röning (ICNC (5), 2009)

Embedded omni-vision navigator based on multi-object tracking. - Huazhu Fu; Zuoliang Cao; Xiaochun Cao (Mach. Vis. Appl., 2011)

Topology Preserved Regular Superpixel. - Dai Tang; Huazhu Fu; Xiaochun Cao (ICME, 2012)

Blind Robust Watermarking Mechanism Based on Maxima Curvature of 3D Motion Data. - Ling Du; Xiaochun Cao; Muhua Zhang; Huazhu Fu (Information Hiding, 2012)

Forgery Authentication in Extreme Wide-Angle Lens Using Distortion Cue and Fake Saliency Map. - Huazhu Fu; Xiaochun Cao (IEEE Trans. Inf. Forensics Secur., 2012)

Saliency map fusion based on rank-one constraint. - Xiaochun Cao; Zhiqiang Tao; Bao Zhang; Huazhu Fu; Xuewei Li (ICME, 2013)

Cluster-Based Co-Saliency Detection. - Huazhu Fu; Xiaochun Cao; Zhuowen Tu (IEEE Trans. Image Process., 2013)

Object-Based Multiple Foreground Video Co-segmentation. - Huazhu Fu; Dong Xu 001; Bao Zhang; Stephen Lin 001 (CVPR, 2014)

Depth Enhanced Saliency Detection Method. - Yupeng Cheng; Huazhu Fu; Xingxing Wei 001; Jiangjian Xiao; Xiaochun Cao (ICIMCS, 2014)

Co-Saliency Detection via Base Reconstruction. - Xiaochun Cao; Yupeng Cheng; Zhiqiang Tao; Huazhu Fu (ACM Multimedia, 2014)

Symmetry Constraint for Foreground Extraction. - Huazhu Fu; Xiaochun Cao; Zhuowen Tu; Dongdai Lin (IEEE Trans. Cybern., 2014)

Self-Adaptively Weighted Co-Saliency Detection via Rank Constraint. - Xiaochun Cao; Zhiqiang Tao; Bao Zhang; Huazhu Fu; Wei Feng 005 (IEEE Trans. Image Process., 2014)

Regularity Preserved Superpixels and Supervoxels. - Huazhu Fu; Xiaochun Cao; Dai Tang; Yahong Han; Dong Xu 001 (IEEE Trans. Multim., 2014)

Diversity-induced Multi-view Subspace Clustering. - Xiaochun Cao; Changqing Zhang; Huazhu Fu; Si Liu 001; Hua Zhang 008 (CVPR, 2015)

Object-based RGBD image co-segmentation with mutex constraint. - Huazhu Fu; Dong Xu 001; Stephen Lin 001; Jiang Liu 001 (CVPR, 2015)

Low-Rank Tensor Constrained Multiview Subspace Clustering. - Changqing Zhang; Huazhu Fu; Si Liu 001; Guangcan Liu; Xiaochun Cao (ICCV, 2015)

Multi-cue Augmented Face Clustering. - Chengju Zhou; Changqing Zhang; Huazhu Fu; Rui Wang 032; Xiaochun Cao (ACM Multimedia, 2015)

Automatic Optic Disc Detection in OCT Slices via Low-Rank Reconstruction. - Huazhu Fu; Dong Xu 001; Stephen Lin 001; Damon Wing Kee Wong; Jiang Liu 001 (IEEE Trans. Biomed. Eng., 2015)

Constrained Multi-View Video Face Clustering. - Xiaochun Cao; Changqing Zhang; Chengju Zhou; Huazhu Fu; Hassan Foroosh (IEEE Trans. Image Process., 2015)

Object-Based Multiple Foreground Video Co-Segmentation via Multi-State Selection Graph. - Huazhu Fu; Dong Xu 001; Bao Zhang; Stephen Lin 001; Rabab K. Ward (IEEE Trans. Image Process., 2015)

Automatic anterior chamber angle structure segmentation in AS-OCT image based on label transfer. - Huazhu Fu; Yanwu Xu 001; Damon Wing Kee Wong; Jiang Liu 001; Mani Baskaran; Shamira A. Perera; Tin Aung (EMBC, 2016)

Retinal vessel segmentation via deep learning network and fully-connected conditional random fields. - Huazhu Fu; Yanwu Xu 001; Damon Wing Kee Wong; Jiang Liu 001 (ISBI, 2016)

DeepVessel: Retinal Vessel Segmentation via Deep Learning and Conditional Random Field. - Huazhu Fu; Yanwu Xu 001; Stephen Lin 001; Damon Wing Kee Wong; Jiang Liu 001 (MICCAI (2), 2016)

Axial Alignment for Anterior Segment Swept Source Optical Coherence Tomography via Robust Low-Rank Tensor Recovery. - Yanwu Xu 001; Lixin Duan; Huazhu Fu; Xiaoqin Zhang 002; Damon Wing Kee Wong; Mani Baskaran; Tin Aung; Jiang Liu 001 (MICCAI (3), 2016)

A Review of Co-saliency Detection Technique: Fundamentals, Applications, and Challenges. - Dingwen Zhang; Huazhu Fu; Junwei Han 001; Feng Wu (CoRR, 2016)

Unsupervised pixel-level video foreground object segmentation via shortest path algorithm. - Xiaochun Cao; Feng Wang 063; Bao Zhang; Huazhu Fu; Chao Li 001 (Neurocomputing, 2016)

Saliency-Aware Nonparametric Foreground Annotation Based on Weakly Labeled Data. - Xiaochun Cao; Changqing Zhang; Huazhu Fu; Xiaojie Guo 001; Qi Tian 001 (IEEE Trans. Neural Networks Learn. Syst., 2016)

Image Cosegmentation via Saliency-Guided Constrained Clustering with Cosine Similarity. - Zhiqiang Tao; Hongfu Liu 001; Huazhu Fu; Yun Fu 001 (AAAI, 2017)

Latent Multi-view Subspace Clustering. - Changqing Zhang; Qinghua Hu; Huazhu Fu; Pengfei Zhu 001; Xiaochun Cao (CVPR, 2017)

Extract-and-match geometric corner and step pattern approach for registration of fluoroscopic X-ray sequences. - Jimmy Addison Lee; Mengdi Xu; Jun Cheng 003; Huazhu Fu; Damon Wing Kee Wong; Nicolas Foin (EMBC, 2017)

Breast Tumor Detection in Ultrasound Images Using Deep Learning. - Zhantao Cao; Lixin Duan; Guowu Yang; Ting Yue; Qin Chen; Huazhu Fu; Yanwu Xu 001 (Patch-MI@MICCAI, 2017)

DR-Net: Transmission Steered Single Image Dehazing Network with Weakly Supervised Refinement. - Chongyi Li; Jichang Guo; Fatih Porikli; Chunle Guo; Huazhu Fu; Xi Li 001 (CoRR, 2017)

Object-Based Multiple Foreground Segmentation in RGBD Video. - Huazhu Fu; Dong Xu 001; Stephen Lin 001 (IEEE Trans. Image Process., 2017)

Flexible Multi-View Dimensionality Co-Reduction. - Changqing Zhang; Huazhu Fu; Qinghua Hu; Pengfei Zhu 001; Xiaochun Cao (IEEE Trans. Image Process., 2017)

Segmentation and Quantification for Angle-Closure Glaucoma Assessment in Anterior Segment OCT. - Huazhu Fu; Yanwu Xu 001; Stephen Lin 001; Xiaoqin Zhang 002; Damon Wing Kee Wong; Jiang Liu 001; Alejandro F. Frangi; Mani Baskaran; Tin Aung (IEEE Trans. Medical Imaging, 2017)

DeepAMD: Detect Early Age-Related Macular Degeneration by Applying Deep Learning in a Multiple Instance Learning Framework. - Huiying Liu; Damon Wing Kee Wong; Huazhu Fu; Yanwu Xu 001; Jiang Liu 001 (ACCV (5), 2018)

Optic Disc and Cup Segmentation with Blood Vessel Removal from Fundus Images for Glaucoma Detection. - Yuming Jiang 003; Hu Xia; Yanwu Xu 001; Jun Cheng 003; Huazhu Fu; Lixin Duan; Zhigang Meng; Jiang Liu 001 (EMBC, 2018)

3-in-1 Correlated Embedding via Adaptive Exploration of the Structure and Semantic Subspaces. - Liang Yang 002; Yuanfang Guo; Di Jin 001; Huazhu Fu; Xiaochun Cao (IJCAI, 2018)

Ocular disease detection from multiple informatics domains. - Yanwu Xu 001; Lixin Duan; Huazhu Fu; Zhuo Zhang 001; Wei Zhao; Tianyuan You; Tien Yin Wong; Jiang Liu 001 (ISBI, 2018)

Multi-context Deep Network for Angle-Closure Glaucoma Screening in Anterior Segment OCT. - Huazhu Fu; Yanwu Xu 001; Stephen Lin 001; Damon Wing Kee Wong; Mani Baskaran; Meenakshi Mahesh; Tin Aung; Jiang Liu 001 (MICCAI (2), 2018)

Localizing Optic Disc and Cup for Glaucoma Screening via Deep Object Detection Networks. - Xu Sun 006; Yanwu Xu 001; Mingkui Tan; Huazhu Fu; Wei Zhao; Tianyuan You; Jiang Liu 001 (COMPAY/OMIA@MICCAI, 2018)

A Cascaded Convolutional Neural Network for Single Image Dehazing. - Chongyi Li; Jichang Guo; Fatih Porikli; Huazhu Fu; Yanwei Pang (IEEE Access, 2018)

Structure-preserving Guided Retinal Image Filtering and Its Application for Optic Disc Analysis. - Jun Cheng 003; Zhengguo Li; Zaiwang Gu; Huazhu Fu; Damon Wing Kee Wong; Jiang Liu 001 (CoRR, 2018)

Co-Saliency Detection for RGBD Images Based on Multi-Constraint Feature Matching and Cross Label Propagation. - Runmin Cong; Jianjun Lei; Huazhu Fu; Qingming Huang; Xiaochun Cao; Chunping Hou (IEEE Trans. Image Process., 2018)

A Review of Co-Saliency Detection Algorithms: Fundamentals, Applications, and Challenges. - Dingwen Zhang; Huazhu Fu; Junwei Han 001; Ali Borji; Xuelong Li 001 (ACM Trans. Intell. Syst. Technol., 2018)

Structure-Preserving Guided Retinal Image Filtering and Its Application for Optic Disk Analysis. - Jun Cheng 003; Zhengguo Li; Zaiwang Gu; Huazhu Fu; Damon Wing Kee Wong; Jiang Liu 001 (IEEE Trans. Medical Imaging, 2018)

Joint Optic Disc and Cup Segmentation Based on Multi-Label Deep Network and Polar Transformation. - Huazhu Fu; Jun Cheng 003; Yanwu Xu 001; Damon Wing Kee Wong; Jiang Liu 001; Xiaochun Cao (IEEE Trans. Medical Imaging, 2018)

Disc-Aware Ensemble Network for Glaucoma Screening From Fundus Image. - Huazhu Fu; Jun Cheng 003; Yanwu Xu 001; Changqing Zhang; Damon Wing Kee Wong; Jiang Liu 001; Xiaochun Cao (IEEE Trans. Medical Imaging, 2018)

Glaucoma Detection Based on Deep Learning Network in Fundus Image. - Huazhu Fu; Jun Cheng 003; Yanwu Xu 001; Jiang Liu 001 (Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics, 2019)

AE2-Nets: Autoencoder in Autoencoder Networks. - Changqing Zhang; Yeqing Liu; Huazhu Fu (CVPR, 2019)

Anterior Chamber Angles Classification in Anterior Segment OCT Images via Multi-Scale Regions Convolutional Neural Networks. - Huaying Hao; Yitian Zhao; Huazhu Fu; Qiaoling Shang; Fei Li 021; Xiulan Zhang; Jiang Liu 001 (EMBC, 2019)

A Deep Step Pattern Representation for Multimodal Retinal Image Registration. - Jimmy Addison Lee; Peng Liu 049; Jun Cheng 003; Huazhu Fu (ICCV, 2019)

Reciprocal Multi-Layer Subspace Learning for Multi-View Clustering. - Ruihuang Li; Changqing Zhang; Huazhu Fu; Xi Peng 001; Joey Tianyi Zhou; Qinghua Hu (ICCV, 2019)

Inter-modality Dependence Induced Data Recovery for MCI Conversion Prediction. - Tao Zhou 002; Kim-Han Thung; Yu Zhang 009; Huazhu Fu; Jianbing Shen; Dinggang Shen; Ling Shao 001 (MICCAI (4), 2019)

Spatiotemporal Breast Mass Detection Network (MD-Net) in 4D DCE-MRI Images. - Lixi Deng; Sheng Tang; Huazhu Fu; Bin Wang 065; Yongdong Zhang 001 (MICCAI (4), 2019)

Evaluation of Retinal Image Quality Assessment Networks in Different Color-Spaces. - Huazhu Fu; Boyang Wang; Jianbing Shen; Shanshan Cui; Yanwu Xu 001; Jiang Liu 001; Ling Shao 001 (MICCAI (1), 2019)

ET-Net: A Generic Edge-aTtention Guidance Network for Medical Image Segmentation. - Zhijie Zhang; Huazhu Fu; Hang Dai; Jianbing Shen; Yanwei Pang; Ling Shao 001 (MICCAI (1), 2019)

Attention Guided Network for Retinal Image Segmentation. - Shihao Zhang; Huazhu Fu; Yuguang Yan; Yubing Zhang; Qingyao Wu; Ming Yang 039; Mingkui Tan; Yanwu Xu 001 (MICCAI (1), 2019)

SkrGAN: Sketching-Rendering Unconditional Generative Adversarial Networks for Medical Image Synthesis. - Tianyang Zhang 003; Huazhu Fu; Yitian Zhao; Jun Cheng 003; Mengjie Guo; Zaiwang Gu; Bing Yang; Yuting Xiao; Shenghua Gao; Jiang Liu 001 (MICCAI (4), 2019)

Deep Multi-modal Latent Representation Learning for Automated Dementia Diagnosis. - Tao Zhou 002; Mingxia Liu 001; Huazhu Fu; Jun Wang 024; Jianbing Shen; Ling Shao 001; Dinggang Shen (MICCAI (4), 2019)

CPM-Nets: Cross Partial Multi-View Networks. - Changqing Zhang; Zongbo Han; Yajie Cui; Huazhu Fu; Joey Tianyi Zhou; Qinghua Hu (NeurIPS, 2019)

Angle-Closure Detection in Anterior Segment OCT based on Multi-Level Deep Network. - Huazhu Fu; Yanwu Xu 001; Stephen Lin 001; Damon Wing Kee Wong; Mani Baskaran; Meenakshi Mahesh; Tin Aung; Jiang Liu 001 (CoRR, 2019)

Salient Object Detection in the Deep Learning Era: An In-Depth Survey. - Wenguan Wang; Qiuxia Lai; Huazhu Fu; Jianbing Shen; Haibin Ling (CoRR, 2019)

REFUGE Challenge: A Unified Framework for Evaluating Automated Methods for Glaucoma Assessment from Fundus Photographs. - José Ignacio Orlando; Huazhu Fu; João Barbosa Breda; Karel van Keer; Deepti R. Bathula; Andrés Diaz-Pinto; Ruogu Fang; Pheng-Ann Heng; Jeyoung Kim; Joonho Lee; Joonseok Lee; Xiaoxiao Li; et al. (CoRR, 2019)

An efficient privacy protection scheme for data security in video surveillance. - Ling Du; Wei Zhang 031; Huazhu Fu; Wenqi Ren; Xinpeng Zhang 001 (J. Vis. Commun. Image Represent., 2019)

Review of Visual Saliency Detection With Comprehensive Information. - Runmin Cong; Jianjun Lei; Huazhu Fu; Ming-Ming Cheng; Weisi Lin; Qingming Huang (IEEE Trans. Circuits Syst. Video Technol., 2019)

Person Re-Identification by Semantic Region Representation and Topology Constraint. - Jianjun Lei; Lijie Niu; Huazhu Fu; Bo Peng 007; Qingming Huang; Chunping Hou (IEEE Trans. Circuits Syst. Video Technol., 2019)

An Iterative Co-Saliency Framework for RGBD Images. - Runmin Cong; Jianjun Lei; Huazhu Fu; Weisi Lin; Qingming Huang; Xiaochun Cao; Chunping Hou (IEEE Trans. Cybern., 2019)

Video Saliency Detection via Sparsity-Based Reconstruction and Propagation. - Runmin Cong; Jianjun Lei; Huazhu Fu; Fatih Porikli; Qingming Huang; Chunping Hou (IEEE Trans. Image Process., 2019)

Hierarchical Features Driven Residual Learning for Depth Map Super-Resolution. - Chunle Guo; Chongyi Li; Jichang Guo; Runmin Cong; Huazhu Fu; Ping Han (IEEE Trans. Image Process., 2019)

Multi-View Saliency-Guided Clustering for Image Cosegmentation. - Zhiqiang Tao; Hongfu Liu 001; Huazhu Fu; Yun Fu 001 (IEEE Trans. Image Process., 2019)

CE-Net: Context Encoder Network for 2D Medical Image Segmentation. - Zaiwang Gu; Jun Cheng 003; Huazhu Fu; Kang Zhou 001; Huaying Hao; Yitian Zhao; Tianyang Zhang 003; Shenghua Gao; Jiang Liu 001 (IEEE Trans. Medical Imaging, 2019)

HSCS: Hierarchical Sparsity Based Co-saliency Detection for RGBD Images. - Runmin Cong; Jianjun Lei; Huazhu Fu; Qingming Huang; Xiaochun Cao; Nam Ling (IEEE Trans. Multim., 2019)

Multi-Mutual Consistency Induced Transfer Subspace Learning for Human Motion Segmentation. - Tao Zhou 002; Huazhu Fu; Chen Gong 002; Jianbing Shen; Ling Shao 001; Fatih Porikli (CVPR, 2020)

Taking a Deeper Look at Co-Salient Object Detection. - Deng-Ping Fan; Zheng Lin 005; Ge-Peng Ji; Dingwen Zhang; Huazhu Fu; Ming-Ming Cheng (CVPR, 2020)

SUNet: A Lesion Regularized Model for Simultaneous Diabetic Retinopathy and Diabetic Macular Edema Grading. - Zhi Tu; Shenghua Gao; Kang Zhou 001; Xianing Chen; Huazhu Fu; Zaiwang Gu; Jun Cheng 003; Zehao Yu 002; Jiang Liu 001 (ISBI, 2020)

Sparse-Gan: Sparsity-Constrained Generative Adversarial Network for Anomaly Detection in Retinal OCT Image. - Kang Zhou 001; Shenghua Gao; Jun Cheng 003; Zaiwang Gu; Huazhu Fu; Zhi Tu; Jianlong Yang; Yitian Zhao; Jiang Liu 001 (ISBI, 2020)

Automatic Polyp Segmentation via Parallel Reverse Attention Network. - Ge-Peng Ji; Deng-Ping Fan; Tao Zhou 002; Geng Chen 001; Huazhu Fu; Ling Shao 001 (MediaEval, 2020)

PraNet: Parallel Reverse Attention Network for Polyp Segmentation. - Deng-Ping Fan; Ge-Peng Ji; Tao Zhou 002; Geng Chen 001; Huazhu Fu; Jianbing Shen; Ling Shao 001 (MICCAI (6), 2020)

Reconstruction and Quantification of 3D Iris Surface for Angle-Closure Glaucoma Detection in Anterior Segment OCT. - Jinkui Hao; Huazhu Fu; Yanwu Xu 001; Yan Hu; Fei Li 021; Xiulan Zhang; Jiang Liu 001; Yitian Zhao (MICCAI (5), 2020)

Open-Appositional-Synechial Anterior Chamber Angle Classification in AS-OCT Sequences. - Huaying Hao; Huazhu Fu; Yanwu Xu 001; Jianlong Yang; Fei Li 021; Xiulan Zhang; Jiang Liu 001; Yitian Zhao (MICCAI (5), 2020)

Retinal Image Segmentation with a Structure-Texture Demixing Network. - Shihao Zhang; Huazhu Fu; Yanwu Xu 001; Yanxia Liu; Mingkui Tan (MICCAI (5), 2020)

M2 Net: Multi-modal Multi-channel Network for Overall Survival Time Prediction of Brain Tumor Patients. - Tao Zhou 002; Huazhu Fu; Yu Zhang 009; Changqing Zhang; Xiankai Lu; Jianbing Shen; Ling Shao 001 (MICCAI (2), 2020)

A Second-Order Subregion Pooling Network for Breast Lesion Segmentation in Ultrasound. - Lei Zhu 003; Rongzhen Chen; Huazhu Fu; Cong Xie; Liansheng Wang; Liang Wan; Pheng-Ann Heng (MICCAI (6), 2020)

NuI-Go: Recursive Non-Local Encoder-Decoder Network for Retinal Image Non-Uniform Illumination Removal. - Chongyi Li; Huazhu Fu; Runmin Cong; Zechao Li; Qianqian Xu (ACM Multimedia, 2020)

Defense for adversarial videos by self-adaptive JPEG compression and optical texture. - Yupeng Cheng; Xingxing Wei 001; Huazhu Fu; Shang-Wei Lin 001; Weisi Lin (MMAsia, 2020)

A Thorough Comparison Study on Adversarial Attacks and Defenses for Common Thorax Disease Classification in Chest X-rays. - Chendi Rao; Jiezhang Cao; Runhao Zeng; Qi Chen 014; Huazhu Fu; Yanwu Xu 001; Mingkui Tan (CoRR, 2020)

Inf-Net: Automatic COVID-19 Lung Infection Segmentation from CT Scans. - Deng-Ping Fan; Tao Zhou 002; Ge-Peng Ji; Yi Zhou 007; Geng Chen 001; Huazhu Fu; Jianbing Shen; Ling Shao 001 (CoRR, 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)

Understanding and Correcting Low-quality Retinal Fundus Images for Clinical Analysis. - Ziyi Shen; Huazhu Fu; Jianbing Shen; Ling Shao 001 (CoRR, 2020)

Open-Narrow-Synechiae Anterior Chamber Angle Classification in AS-OCT Sequences. - Huaying Hao; Huazhu Fu; Yanwu Xu 001; Jianlong Yang; Fei Li 021; Xiulan Zhang; Jiang Liu 001; Yitian Zhao (CoRR, 2020)

M2Net: Multi-modal Multi-channel Network for Overall Survival Time Prediction of Brain Tumor Patients. - Tao Zhou 002; Huazhu Fu; Yu Zhang 009; Changqing Zhang; Xiankai Lu; Jianbing Shen; Ling Shao 001 (CoRR, 2020)

ROSE: A Retinal OCT-Angiography Vessel Segmentation Dataset and New Model. - Yuhui Ma; Huaying Hao; Huazhu Fu; Jiong Zhang; Jianlong Yang; Jiang Liu 001; Yalin Zheng; Yitian Zhao (CoRR, 2020)

Adversarial Exposure Attack on Diabetic Retinopathy Imagery. - Yupeng Cheng; Felix Juefei-Xu; Qing Guo 005; Huazhu Fu; Xiaofei Xie; Shang-Wei Lin 001; Weisi Lin; Yang Liu 003 (CoRR, 2020)

M3Lung-Sys: A Deep Learning System for Multi-Class Lung Pneumonia Screening from CT Imaging. - Xuelin Qian; Huazhu Fu; Weiya Shi; Tao Chen 003; Yanwei Fu 001; Fei Shan; Xiangyang Xue 001 (CoRR, 2020)

Colonoscopy Polyp Detection: Domain Adaptation From Medical Report Images to Real-time Videos. - Zhi-Qin Zhan; Huazhu Fu; Yan-Yao Yang; Jingjing Chen 001; Jie Liu; Yu-Gang Jiang 001 (CoRR, 2020)

Tensorized Multi-view Subspace Representation Learning. - Changqing Zhang; Huazhu Fu; Jing Wang 023; Wen Li 001; Xiaochun Cao; Qinghua Hu (Int. J. Comput. Vis., 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)

REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs. - José Ignacio Orlando; Huazhu Fu; João Barbosa Breda; Karel van Keer; Deepti R. Bathula; Andrés Diaz-Pinto; Ruogu Fang; Pheng-Ann Heng; Jeyoung Kim; Joonho Lee; Joonseok Lee; Xiaoxiao Li; et al. (Medical Image Anal., 2020)

Generalized Latent Multi-View Subspace Clustering. - Changqing Zhang; Huazhu Fu; Qinghua Hu; Xiaochun Cao; Yuan Xie 006; Dacheng Tao; Dong Xu 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2020)

Joint spatial-spectral hyperspectral image classification based on convolutional neural network. - Mengxin Han; Runmin Cong; Xinyu Li; Huazhu Fu; Jianjun Lei (Pattern Recognit. Lett., 2020)

JointRCNN: A Region-Based Convolutional Neural Network for Optic Disc and Cup Segmentation. - Yuming Jiang 003; Lixin Duan; Jun Cheng 003; Zaiwang Gu; Hu Xia; Huazhu Fu; Changsheng Li; Jiang Liu 001 (IEEE Trans. Biomed. Eng., 2020)

Unsupervised Video Action Clustering via Motion-Scene Interaction Constraint. - Bo Peng 007; Jianjun Lei; Huazhu Fu; Changqing Zhang; Tat-Seng Chua; Xuelong Li 001 (IEEE Trans. Circuits Syst. Video Technol., 2020)

Going From RGB to RGBD Saliency: A Depth-Guided Transformation Model. - Runmin Cong; Jianjun Lei; Huazhu Fu; Junhui Hou; Qingming Huang; Sam Kwong (IEEE Trans. Cybern., 2020)

Angle-Closure Detection in Anterior Segment OCT Based on Multilevel Deep Network. - Huazhu Fu; Yanwu Xu 001; Stephen Lin 001; Damon Wing Kee Wong; Mani Baskaran; Meenakshi Mahesh; Tin Aung; Jiang Liu 001 (IEEE Trans. Cybern., 2020)

Hybrid Noise-Oriented Multilabel Learning. - Changqing Zhang; Ziwei Yu; Huazhu Fu; Pengfei Zhu 001; Lei Chen 011; Qinghua Hu (IEEE Trans. Cybern., 2020)

A Recursive Constrained Framework for Unsupervised Video Action Clustering. - Bo Peng 007; Jianjun Lei; Huazhu Fu; Ling Shao 001; Qingming Huang (IEEE Trans. Ind. Informatics, 2020)

Text Co-Detection in Multi-View Scene. - Chuan Wang 002; Huazhu Fu; Liang Yang 002; Xiaochun Cao (IEEE Trans. Image Process., 2020)

Guest Editorial Ophthalmic Image Analysis and Informatics. - Jun Cheng 003; Huazhu Fu; Delia Cabrera DeBuc; Jie Tian 001 (IEEE J. Biomed. Health Informatics, 2020)

M$^3$Lung-Sys: A Deep Learning System for Multi-Class Lung Pneumonia Screening From CT Imaging. - Xuelin Qian; Huazhu Fu; Weiya Shi; Tao Chen 003; Yanwei Fu 001; Fei Shan; Xiangyang Xue 001 (IEEE J. Biomed. Health Informatics, 2020)

Inf-Net: Automatic COVID-19 Lung Infection Segmentation From CT Images. - Deng-Ping Fan; Tao Zhou 002; Ge-Peng Ji; Yi Zhou 007; Geng Chen 001; Huazhu Fu; Jianbing Shen; Ling Shao 001 (IEEE Trans. Medical Imaging, 2020)

Correction to "Noise Adaptation Generative Adversarial Network for Medical Image Analysis". - Tianyang Miller; Jun Cheng 003; Huazhu Fu; Zaiwang Gu; Yuting Xiao; Kang Zhou 001; Shenghua Gao; Ru Zheng; Jiang Liu 001 (IEEE Trans. Medical Imaging, 2020)

Noise Adaptation Generative Adversarial Network for Medical Image Analysis. - Tianyang Zhang 003; Jun Cheng 003; Huazhu Fu; Zaiwang Gu; Yuting Xiao; Kang Zhou 001; Shenghua Gao; Rui Zheng; Jiang Liu 001 (IEEE Trans. Medical Imaging, 2020)

Hi-Net: Hybrid-Fusion Network for Multi-Modal MR Image Synthesis. - Tao Zhou 002; Huazhu Fu; Geng Chen 001; Jianbing Shen; Ling Shao 001 (IEEE Trans. Medical Imaging, 2020)

PDR-Net: Perception-Inspired Single Image Dehazing Network With Refinement. - Chongyi Li; Chunle Guo; Jichang Guo; Ping Han; Huazhu Fu; Runmin Cong (IEEE Trans. Multim., 2020)

Deep Retinal Image Non-Uniform Illumination Removal. - Chongyi Li; Huazhu Fu; Miao Yang; Runmin Cong; Chunle Guo (Generalization with Deep Learning, 2021)

Triple-Cooperative Video Shadow Detection. - Zhihao Chen 004; Liang Wan; Lei Zhu 003; Jia Shen; Huazhu Fu; Wennan Liu; Jing Qin 001 (CVPR, 2021)

Group Collaborative Learning for Co-Salient Object Detection. - Qi Fan; Deng-Ping Fan; Huazhu Fu; Chi-Keung Tang; Ling Shao 001; Yu-Wing Tai (CVPR, 2021)

Specificity-preserving RGB-D Saliency Detection. - Tao Zhou 002; Huazhu Fu; Geng Chen 001; Yi Zhou 007; Deng-Ping Fan; Ling Shao 001 (ICCV, 2021)

Visual-Textual Attentive Semantic Consistency for Medical Report Generation. - Yi Zhou 007; Lei Huang 015; Tao Zhou 002; Huazhu Fu; Ling Shao 001 (ICCV, 2021)

VIL-100: A New Dataset and A Baseline Model for Video Instance Lane Detection. - Yujun Zhang 002; Lei Zhu 003; Wei Feng 005; Huazhu Fu; Mingqian Wang; Qingxia Li; Cheng Li; Song Wang 002 (ICCV, 2021)

VideoLT: Large-scale Long-tailed Video Recognition. - Xing Zhang 013; Zuxuan Wu; Zejia Weng; Huazhu Fu; Jingjing Chen 001; Yu-Gang Jiang 001; Larry Davis 001 (ICCV, 2021)

Trusted Multi-View Classification. - Zongbo Han; Changqing Zhang; Huazhu Fu; Joey Tianyi Zhou (ICLR, 2021)

Cross-View Equivariant Auto-Encoder. - Zhibin Wan; Changqing Zhang; Yu Geng; Huazhu Fu; Xi Peng 001; Pengfei Zhu 001; Qinghua Hu (ICME, 2021)

Multi-modality Images Analysis: A Baseline for Glaucoma Grading via Deep Learning. - Huihui Fang; Fangxin Shang; Huazhu Fu; Fei Li 021; Xiulan Zhang; Yanwu Xu 001 (OMIA@MICCAI, 2021)

Multi-contrast MRI Super-Resolution via a Multi-stage Integration Network. - Chun-Mei Feng 001; Huazhu Fu; Shuhao Yuan; Yong Xu 001 (MICCAI (6), 2021)

Task Transformer Network for Joint MRI Reconstruction and Super-Resolution. - Chun-Mei Feng 001; Yunlu Yan; Huazhu Fu; Li Chen 011; Yong Xu 001 (MICCAI (6), 2021)

Progressively Normalized Self-Attention Network for Video Polyp Segmentation. - Ge-Peng Ji; Yu-Cheng Chou; Deng-Ping Fan; Geng Chen 001; Huazhu Fu; Debesh Jha; Ling Shao 001 (MICCAI (1), 2021)

Few-Shot Domain Adaptation with Polymorphic Transformers. - Shaohua Li 003; Xiuchao Sui; Jie Fu; Huazhu Fu; Xiangde Luo; Yangqin Feng; Xinxing Xu; Yong Liu 026; Daniel Shu Wei Ting; Rick Siow Mong Goh (MICCAI (2), 2021)

A Multi-branch Hybrid Transformer Network for Corneal Endothelial Cell Segmentation. - Yinglin Zhang; Risa Higashita; Huazhu Fu; Yanwu Xu 001; Yang Zhang; Haofeng Liu; Jian Zhang 002; Jiang Liu 001 (MICCAI (1), 2021)

From Synthetic to Real: Image Dehazing Collaborating with Unlabeled Real Data. - Ye Liu; Lei Zhu 003; Shunda Pei; Huazhu Fu; Jing Qin 001; Qing Zhang 006; Liang Wan; Wei Feng 005 (ACM Multimedia, 2021)

Trustworthy Multimodal Regression with Mixture of Normal-inverse Gamma Distributions. - Huan Ma; Zongbo Han; Changqing Zhang; Huazhu Fu; Joey Tianyi Zhou; Qinghua Hu (NeurIPS, 2021)

Applications of Deep Learning in Fundus Images: A Review. - Tao Li 002; Wang Bo; Chunyu Hu; Hong Kang; Hanruo Liu; Kai Wang 001; Huazhu Fu (CoRR, 2021)

A Multi-Branch Hybrid Transformer Networkfor Corneal Endothelial Cell Segmentation. - Yinglin Zhang; Risa Higashita; Huazhu Fu; Yanwu Xu 001; Yang Zhang; Haofeng Liu; Jian Zhang 002; Jiang Liu 001 (CoRR, 2021)

Federated Noisy Client Learning. - Li Li 064; Huazhu Fu; Bo Han 003; Cheng-Zhong Xu 001; Ling Shao 001 (CoRR, 2021)

Accelerated Multi-Modal MR Imaging with Transformers. - Chun-Mei Feng 001; Yunlu Yan; Geng Chen 001; Huazhu Fu; Yong Xu 001; Ling Shao 001 (CoRR, 2021)

Polyp-PVT: Polyp Segmentation with Pyramid Vision Transformers. - Bo Dong 001; Wenhai Wang; Deng-Ping Fan; Jinpeng Li 004; Huazhu Fu; Ling Shao 001 (CoRR, 2021)

Exploring Separable Attention for Multi-Contrast MR Image Super-Resolution. - Chun-Mei Feng 001; Yunlu Yan; Chengliang Liu 003; Huazhu Fu; Yong Xu 001; Ling Shao 001 (CoRR, 2021)

Multi-modal Aggregation Network for Fast MR Imaging. - Chun-Mei Feng 001; Huazhu Fu; Tianfei Zhou; Yong Xu 001; Ling Shao 001; David Zhang 001 (CoRR, 2021)

Specificity-Preserving Federated Learning for MR Image Reconstruction. - Chun-Mei Feng 001; Yunlu Yan; Huazhu Fu; Yong Xu 001; Ling Shao 001 (CoRR, 2021)

Deep video action clustering via spatio-temporal feature learning. - Bo Peng 007; Jianjun Lei; Huazhu Fu; Yalong Jia; Zongqian Zhang; Yi Li (Neurocomputing, 2021)

RGB-D salient object detection via cross-modal joint feature extraction and low-bound fusion loss. - Xinxin Zhu; Yi Li; Huazhu Fu; Xiaoting Fan; Yanan Shi; Jianjun Lei (Neurocomputing, 2021)

Applications of deep learning in fundus images: A review. - Tao Li 022; Wang Bo; Chunyu Hu; Hong Kang; Hanruo Liu; Kai Wang 001; Huazhu Fu (Medical Image Anal., 2021)

Deep triplet hashing network for case-based medical image retrieval. - Jiansheng Fang; Huazhu Fu; Jiang Liu 001 (Medical Image Anal., 2021)

CS2-Net: Deep learning segmentation of curvilinear structures in medical imaging. - Lei Mou; Yitian Zhao; Huazhu Fu; Yonghuai Liu; Jun Cheng 003; Yalin Zheng; Pan Su 001; Jianlong Yang; Li Chen 011; Alejandro F. Frangi; Masahiro Akiba; Jiang Liu 001 (Medical Image Anal., 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)

ASIF-Net: Attention Steered Interweave Fusion Network for RGB-D Salient Object Detection. - Chongyi Li; Runmin Cong; Sam Kwong; Junhui Hou; Huazhu Fu; Guopu Zhu; Dingwen Zhang; Qingming Huang (IEEE Trans. Cybern., 2021)

Combating Ambiguity for Hash-Code Learning in Medical Instance Retrieval. - Jiansheng Fang; Huazhu Fu; Dan Zeng 002; Xiao Yan 002; Yuguang Yan; Jiang Liu 001 (IEEE J. Biomed. Health Informatics, 2021)

CABNet: Category Attention Block for Imbalanced Diabetic Retinopathy Grading. - Along He; Tao Li 022; Ning Li; Kai Wang 001; Huazhu Fu (IEEE Trans. Medical Imaging, 2021)

ROSE: A Retinal OCT-Angiography Vessel Segmentation Dataset and New Model. - Yuhui Ma; Huaying Hao; Jianyang Xie; Huazhu Fu; Jiong Zhang; Jianlong Yang; Zhen Wang; Jiang Liu 001; Yalin Zheng; Yitian Zhao (IEEE Trans. Medical Imaging, 2021)

Structure and Illumination Constrained GAN for Medical Image Enhancement. - Yuhui Ma; Jiang Liu 001; Yonghuai Liu; Huazhu Fu; Yan Hu; Jun Cheng 003; Hong Qi; Yufei Wu 013; Jiong Zhang; Yitian Zhao (IEEE Trans. Medical Imaging, 2021)

Modeling and Enhancing Low-Quality Retinal Fundus Images. - Ziyi Shen; Huazhu Fu; Jianbing Shen; Ling Shao 001 (IEEE Trans. Medical Imaging, 2021)

Contrast-Attentive Thoracic Disease Recognition With Dual-Weighting Graph Reasoning. - Yi Zhou 007; Tianfei Zhou; Tao Zhou 002; Huazhu Fu; Jiacheng Liu 011; Ling Shao 001 (IEEE Trans. Medical Imaging, 2021)

Can You Spot the Chameleon? Adversarially Camouflaging Images from Co-Salient Object Detection. - Ruijun Gao; Qing Guo 005; Felix Juefei-Xu; Hongkai Yu; Huazhu Fu; Wei Feng 005; Yang Liu 003; Song Wang 002 (CVPR, 2022)

FedDC: Federated Learning with Non-IID Data via Local Drift Decoupling and Correction. - Liang Gao; Huazhu Fu; Li Li 064; Yingwen Chen 001; Ming Xu 002; Cheng-Zhong Xu 001 (CVPR, 2022)

Trustworthy Long-Tailed Classification. - Bolian Li; Zongbo Han; Haining Li; Huazhu Fu; Changqing Zhang (CVPR, 2022)

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

Rethinking Video Rain Streak Removal: A New Synthesis Model and a Deraining Network with Video Rain Prior. - Shuai Wang; Lei Zhu 003; Huazhu Fu; Jing Qin 001; Carola-Bibiane Schönlieb; Wei Feng 005; Song Wang 002 (ECCV (19), 2022)

Data-Free Network Debiasing for Long-Tailed Visual Recognition. - Jinmian Cai; Zheng Wang 059; Huazhu Fu; Jingjing Chen 001; Yu-Gang Jiang 001 (ICME, 2022)

Unsupervised Lesion-Aware Transfer Learning for Diabetic Retinopathy Grading in Ultra-Wide-Field Fundus Photography. - Yanmiao Bai; Jinkui Hao; Huazhu Fu; Yan Hu; Xinting Ge; Jiang Liu 001; Yitian Zhao; Jiong Zhang (MICCAI (2), 2022)

NerveFormer: A Cross-Sample Aggregation Network for Corneal Nerve Segmentation. - Jiayu Chen; Lei Mou; Shaodong Ma; Huazhu Fu; Lijun Guo; Yalin Zheng; Jiong Zhang; Yitian Zhao (MICCAI (4), 2022)

Dataset and Evaluation Algorithm Design for GOALS Challenge. - Huihui Fang; Fei Li 021; Huazhu Fu; Junde Wu; Xiulan Zhang; Yanwu Xu 001 (OMIA@MICCAI, 2022)

An Efficient Defending Mechanism Against Image Attacking on Medical Image Segmentation Models. - Linh D. Le; Huazhu Fu; Xinxing Xu; Yong Liu 026; Yanyu Xu; Jiawei Du; Joey Tianyi Zhou; Rick Siow Mong Goh (REMIA@MICCAI, 2022)

Localizing Anatomical Landmarks in Ocular Images Using Zoom-In Attentive Networks. - Xiaofeng Lei; Shaohua Li 003; Xinxing Xu; Huazhu Fu; Yong Liu 026; Yih Chung Tham; Yangqin Feng; Mingrui Tan; Yanyu Xu; Jocelyn Hui Lin Goh; Rick Siow Mong Goh; Ching-Yu Cheng (OMIA@MICCAI, 2022)

Structure-Consistent Restoration Network for Cataract Fundus Image Enhancement. - Heng Li 010; Haofeng Liu; Huazhu Fu; Hai Shu; Yitian Zhao; Xiaoling Luo; Yan Hu; Jiang Liu 001 (MICCAI (2), 2022)

Instrument-tissue Interaction Quintuple Detection in Surgery Videos. - Wenjun Lin; Yan Hu; Luoying Hao; Dan Zhou; Mingming Yang; Huazhu Fu; Cheekong Chui; Jiang Liu 001 (MICCAI (8), 2022)

A New Dataset and a Baseline Model for Breast Lesion Detection in Ultrasound Videos. - Zhi Lin; Junhao Lin; Lei Zhu 003; Huazhu Fu; Jing Qin 001; Liansheng Wang (MICCAI (3), 2022)

Degradation-Invariant Enhancement of Fundus Images via Pyramid Constraint Network. - Haofeng Liu; Heng Li 010; Huazhu Fu; Ruoxiu Xiao; Yunshu Gao; Yan Hu; Jiang Liu 001 (MICCAI (2), 2022)

Screening of Dementia on OCTA Images via Multi-projection Consistency and Complementarity. - Xingyue Wang; Heng Li 010; Zunjie Xiao; Huazhu Fu; Yitian Zhao; Richu Jin; Shuting Zhang; William Robert Kwapong; Ziyi Zhang; Hanpei Miao; Jiang Liu 001 (MICCAI (2), 2022)

Tiny-Lesion Segmentation in OCT via Multi-scale Wavelet Enhanced Transformer. - Meng Wang 001; Kai Yu 009; Xinxing Xu; Yi Zhou 024; Yuanyuan Peng; Yanyu Xu; Rick Siow Mong Goh; Yong Liu 026; Huazhu Fu (OMIA@MICCAI, 2022)

Facing Annotation Redundancy: OCT Layer Segmentation with only 10 Annotated Pixels per Layer. - Yanyu Xu; Xinxing Xu; Huazhu Fu; Meng Wang 001; Rick Siow Mong Goh; Yong Liu 026 (REMIA@MICCAI, 2022)

Delving into Local Features for Open-Set Domain Adaptation in Fundus Image Analysis. - Yi Zhou 007; Shaochen Bai; Tao Zhou 002; Yu Zhang 009; Huazhu Fu (MICCAI (8), 2022)

TBraTS: Trusted Brain Tumor Segmentation. - Ke Zou; Xuedong Yuan; Xiaojing Shen; Meng Wang 001; Huazhu Fu (MICCAI (8), 2022)

Phase-based Memory Network for Video Dehazing. - Ye Liu; Liang Wan; Huazhu Fu; Jing Qin 001; Lei Zhu 003 (ACM Multimedia, 2022)

GAMMA Challenge: Glaucoma grAding from Multi-Modality imAges. - Junde Wu; Huihui Fang; Fei Li 021; Huazhu Fu; Fengbin Lin; Jiongcheng Li; Lexing Huang; Qinji Yu; Sifan Song; Xingxing Xu; Yanyu Xu; Wensai Wang; et al. (CoRR, 2022)

ADAM Challenge: Detecting Age-related Macular Degeneration from Fundus Images. - Huihui Fang; Fei Li 021; Huazhu Fu; Xu Sun 006; Xingxing Cao; Fengbin Lin; Jaemin Son; Sunho Kim; Gwenolé Quellec; Sarah Matta; Sharath M. Shankaranarayana; Yi-Ting Chen; et al. (CoRR, 2022)

REFUGE2 Challenge: Treasure for Multi-Domain Learning in Glaucoma Assessment. - Huihui Fang; Fei Li 021; Huazhu Fu; Xu Sun 006; Xingxing Cao; Jaemin Son; Shuang Yu; Menglu Zhang; Chenglang Yuan; Cheng Bian; Baiying Lei; Benjian Zhao; et al. (CoRR, 2022)

Video Polyp Segmentation: A Deep Learning Perspective. - Ge-Peng Ji; Guobao Xiao; Yu-Cheng Chou; Deng-Ping Fan; Kai Zhao; Geng Chen 001; Huazhu Fu; Luc Van Gool (CoRR, 2022)

GCoNet+: A Stronger Group Collaborative Co-Salient Object Detector. - Peng Zheng 004; Huazhu Fu; Deng-Ping Fan; Qi Fan; Jie Qin; Luc Van Gool (CoRR, 2022)

Progressive Multi-scale Consistent Network for Multi-class Fundus Lesion Segmentation. - Along He; Kai Wang 001; Tao Li 022; Wang Bo; Hong Kang; Huazhu Fu (CoRR, 2022)

Unsupervised Domain Adaptation via Style-Aware Self-intermediate Domain. - Lianyu Wang; Meng Wang 001; Daoqiang Zhang; Huazhu Fu (CoRR, 2022)

Learning to screen Glaucoma like the ophthalmologists. - Junde Wu; Huihui Fang; Fei Li 021; Huazhu Fu; Yanwu Xu 001 (CoRR, 2022)

Dual Multi-scale Mean Teacher Network for Semi-supervised Infection Segmentation in Chest CT Volume for COVID-19. - Liansheng Wang; Jiacheng Wang 002; Lei Zhu 003; Huazhu Fu; Ping Li 016; Gary Cheng 001; Zhipeng Feng; Shuo Li 001; Pheng-Ann Heng (CoRR, 2022)

ExpNet: A unified network for Expert-Level Classification. - Junde Wu; Huihui Fang; Yehui Yang; Yu Zhang 009; Haoyi Xiong; Huazhu Fu; Yanwu Xu 001 (CoRR, 2022)

Attention to region: Region-based integration-and-recalibration networks for nuclear cataract classification using AS-OCT images. - Xiaoqing Zhang 001; Zunjie Xiao; Huazhu Fu; Yan Hu; Jin Yuan; Yanwu Xu 001; Risa Higashita; Jiang Liu 001 (Medical Image Anal., 2022)

Re-Thinking Co-Salient Object Detection. - Deng-Ping Fan; Tengpeng Li; Zheng Lin 005; Ge-Peng Ji; Dingwen Zhang; Ming-Ming Cheng; Huazhu Fu; Jianbing Shen (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Salient Object Detection in the Deep Learning Era: An In-Depth Survey. - Wenguan Wang; Qiuxia Lai; Huazhu Fu; Jianbing Shen; Haibin Ling; Ruigang Yang (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Deep Partial Multi-View Learning. - Changqing Zhang; Yajie Cui; Zongbo Han; Joey Tianyi Zhou; Huazhu Fu; Qinghua Hu (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Deep-LIFT: Deep Label-Specific Feature Learning for Image Annotation. - Junbing Li; Changqing Zhang; Joey Tianyi Zhou; Huazhu Fu; Shuyin Xia; Qinghua Hu (IEEE Trans. Cybern., 2022)

Boosting RGB-D Saliency Detection by Leveraging Unlabeled RGB Images. - Xiaoqiang Wang 007; Lei Zhu 003; Siliang Tang; Huazhu Fu; Ping Li 016; Fei Wu 001; Yi Yang 001; Yueting Zhuang (IEEE Trans. Image Process., 2022)

Guest Editorial Generative Adversarial Networks in Biomedical Image Computing. - Huazhu Fu; Tao Zhou 002; Shuo Li 001; Alejandro F. Frangi (IEEE J. Biomed. Health Informatics, 2022)

ADAM Challenge: Detecting Age-Related Macular Degeneration From Fundus Images. - Huihui Fang; Fei Li 021; Huazhu Fu; Xu Sun 006; Xingxing Cao; Fengbin Lin; Jaemin Son; Sunho Kim; Gwenolé Quellec; Sarah Matta; Sharath M. Shankaranarayana; Yi-Ting Chen; et al. (IEEE Trans. Medical Imaging, 2022)

Hybrid Variation-Aware Network for Angle-Closure Assessment in AS-OCT. - Jinkui Hao; Fei Li 021; Huaying Hao; Huazhu Fu; Yanwu Xu 001; Risa Higashita; Xiulan Zhang; Jiang Liu 001; Yitian Zhao (IEEE Trans. Medical Imaging, 2022)

Progressive Multiscale Consistent Network for Multiclass Fundus Lesion Segmentation. - Along He; Kai Wang 001; Tao Li 022; Wang Bo; Hong Kang; Huazhu Fu (IEEE Trans. Medical Imaging, 2022)

An Annotation-Free Restoration Network for Cataractous Fundus Images. - Heng Li 010; Haofeng Liu; Yan Hu; Huazhu Fu; Yitian Zhao; Hanpei Miao; Jiang Liu 001 (IEEE Trans. Medical Imaging, 2022)

Proxy-Bridged Image Reconstruction Network for Anomaly Detection in Medical Images. - Kang Zhou 001; Jing Li 117; Weixin Luo; Zhengxin Li; Jianlong Yang; Huazhu Fu; Jun Cheng 003; Jiang Liu 001; Shenghua Gao (IEEE Trans. Medical Imaging, 2022)

Learning Federated Visual Prompt in Null Space for MRI Reconstruction. - Chun-Mei Feng 001; Bangjun Li; Xinxing Xu; Yong Liu 026; Huazhu Fu; Wangmeng Zuo (CVPR, 2023)

Model Barrier: A Compact Un-Transferable Isolation Domain for Model Intellectual Property Protection. - Lianyu Wang; Meng Wang 001; Daoqiang Zhang; Huazhu Fu (CVPR, 2023)

Video Adverse-Weather-Component Suppression Network via Weather Messenger and Adversarial Backpropagation. - Yijun Yang; Angelica I. Avilés-Rivero; Huazhu Fu; Ye Liu; Weiming Wang 002; Lei Zhu 003 (ICCV, 2023)

Calibrating Multimodal Learning. - Huan Ma; Qingyang Zhang; Changqing Zhang; Bingzhe Wu; Huazhu Fu; Joey Tianyi Zhou; Qinghua Hu (ICML, 2023)

dugMatting: Decomposed-Uncertainty-Guided Matting. - Jiawei Wu 001; Changqing Zhang; Zuoyong Li; Huazhu Fu; Xi Peng 001; Joey Tianyi Zhou (ICML, 2023)

Provable Dynamic Fusion for Low-Quality Multimodal Data. - Qingyang Zhang; Haitao Wu; Changqing Zhang; Qinghua Hu; Huazhu Fu; Joey Tianyi Zhou; Xi Peng 001 (ICML, 2023)

RBGNet: Reliable Boundary-Guided Segmentation of Choroidal Neovascularization. - Tao Chen 003; Yitian Zhao; Lei Mou; Dan Zhang; Xiayu Xu; Mengting Liu; Huazhu Fu; Jiong Zhang (MICCAI (4), 2023)

Medical Phrase Grounding with Region-Phrase Context Contrastive Alignment. - Zhihao Chen 004; Yang Zhou 017; Anh Tran; Junting Zhao; Liang Wan; Gideon Ooi; Lionel Tim-Ee Cheng; Choon Hua Thng; Xinxing Xu; Yong Liu 026; Huazhu Fu (MICCAI (7), 2023)

SAM-U: Multi-box Prompts Triggered Uncertainty Estimation for Reliable SAM in Medical Image. - Guoyao Deng; Ke Zou; Kai Ren; Meng Wang 001; Xuedong Yuan; Sancong Ying; Huazhu Fu (MTSAIL/LEAF/AI4Treat/MMMI/REMIA@MICCAI, 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)

STAGE Challenge: Structural-Functional Transition in Glaucoma Assessment Challenge in MICCAI 2023. - Huihui Fang; Fei Li 021; Hanyi Yu; Dongyang Zhao; Xiang Li 115; Zhuoling Li; Huazhu Fu; Xiulan Zhang; Yanwu Xu 001 (OMIA@MICCAI, 2023)

ACT-Net: Anchor-Context Action Detection in Surgery Videos. - Luoying Hao; Yan Hu; Wenjun Lin; Qun Wang; Heng Li 010; Huazhu Fu; Jinming Duan 001; Jiang Liu 001 (MICCAI (9), 2023)

Content-Preserving Diffusion Model for Unsupervised AS-OCT Image Despeckling. - Sanqian Li; Risa Higashita; Huazhu Fu; Heng Li 010; Jingxuan Niu; Jiang Liu 001 (MICCAI (7), 2023)

Privileged Modality Guided Network for Retinal Vessel Segmentation in Ultra-Wide-Field Images. - Xuefei Li; Huaying Hao; Huazhu Fu; Dan Zhang; Da Chen 002; Yuchuan Qiao; Jiang Liu 001; Yitian Zhao; Jiong Zhang (OMIA@MICCAI, 2023)

Frequency-Mixed Single-Source Domain Generalization for Medical Image Segmentation. - Heng Li 010; Haojin Li; Wei Zhao; Huazhu Fu; Xiuyun Su; Yan Hu; Jiang Liu 001 (MICCAI (6), 2023)

Shifting More Attention to Breast Lesion Segmentation in Ultrasound Videos. - Junhao Lin; Qian Dai; Lei Zhu 003; Huazhu Fu; Qiong Wang 001; Weibin Li; Wenhao Rao; Xiaoyang Huang; Liansheng Wang (MICCAI (3), 2023)

Polar-Net: A Clinical-Friendly Model for Alzheimer's Disease Detection in OCTA Images. - Shouyue Liu; Jinkui Hao; Yanwu Xu 001; Huazhu Fu; Xinyu Guo; Jiang Liu 001; Yalin Zheng; Yonghuai Liu; Jiong Zhang; Yitian Zhao (MICCAI (7), 2023)

Category-Independent Visual Explanation for Medical Deep Network Understanding. - Yiming Qian; Liangzhi Li 004; Huazhu Fu; Meng Wang 001; Qingsheng Peng; Yih Chung Tham; Ching Yu Cheng; Yong Liu 026; Rick Siow Mong Goh; Xinxing Xu (MICCAI (2), 2023)

A Spatial-Temporal Deformable Attention Based Framework for Breast Lesion Detection in Videos. - Chao Qin; Jiale Cao; Huazhu Fu; Rao Muhammad Anwer; Fahad Shahbaz Khan (MICCAI (2), 2023)

Uncertainty-Informed Mutual Learning for Joint Medical Image Classification and Segmentation. - Kai Ren; Ke Zou; Xianjie Liu; Yidi Chen; Xuedong Yuan; Xiaojing Shen; Meng Wang 001; Huazhu Fu (MICCAI (4), 2023)

Federated Uncertainty-Aware Aggregation for Fundus Diabetic Retinopathy Staging. - Meng Wang 001; Lianyu Wang; Xinxing Xu; Ke Zou; Yiming Qian; Rick Siow Mong Goh; Yong Liu 026; Huazhu Fu (MICCAI (2), 2023)

Minimal-Supervised Medical Image Segmentation via Vector Quantization Memory. - Yanyu Xu; Menghan Zhou; Yangqin Feng; Xinxing Xu; Huazhu Fu; Rick Siow Mong Goh; Yong Liu 026 (MICCAI (3), 2023)

DiffMIC: Dual-Guidance Diffusion Network for Medical Image Classification. - Yijun Yang; Huazhu Fu; Angelica I. Avilés-Rivero; Carola-Bibiane Schönlieb; Lei Zhu 003 (MICCAI (6), 2023)

Polar Eyeball Shape Net for 3D Posterior Ocular Shape Representation. - Jiaqi Zhang; Yan Hu; Xiaojuan Qi 001; Ting Meng; Lihui Wang; Huazhu Fu; Mingming Yang; Jiang Liu 001 (MICCAI (6), 2023)

Elongated Physiological Structure Segmentation via Spatial and Scale Uncertainty-Aware Network. - Yinglin Zhang; Ruiling Xi; Huazhu Fu; Dave Towey; Ruibin Bai; Risa Higashita; Jiang Liu 001 (MICCAI (4), 2023)

Reliable Multimodality Eye Disease Screening via Mixture of Student's t Distributions. - Ke Zou; Tian Lin; Xuedong Yuan; Haoyu Chen 002; Xiaojing Shen; Meng Wang 001; Huazhu Fu (MICCAI (7), 2023)

Fairness-guided Few-shot Prompting for Large Language Models. - Huan Ma; Changqing Zhang; Yatao Bian; Lemao Liu; Zhirui Zhang; Peilin Zhao; Shu Zhang 013; Huazhu Fu; Qinghua Hu; Bingzhe Wu (NeurIPS, 2023)

EvidenceCap: Towards trustworthy medical image segmentation via evidential identity cap. - Ke Zou; Xuedong Yuan; Xiaojing Shen; Yidi Chen; Meng Wang 001; Rick Siow Mong Goh; Yong Liu 026; Huazhu Fu (CoRR, 2023)

TrFedDis: Trusted Federated Disentangling Network for Non-IID Domain Feature. - Meng Wang 001; Kai Yu 009; Chun-Mei Feng 001; Yiming Qian; Ke Zou; Lianyu Wang; Rick Siow Mong Goh; Xinxing Xu; Yong Liu 026; Huazhu Fu (CoRR, 2023)

A Review of Uncertainty Estimation and its Application in Medical Imaging. - Ke Zou; Zhihao Chen 004; Xuedong Yuan; Xiaojing Shen; Meng Wang 001; Huazhu Fu (CoRR, 2023)

Medical Phrase Grounding with Region-Phrase Context Contrastive Alignment. - Zhihao Chen 004; Yang Zhou 017; Anh Tran; Junting Zhao; Liang Wan; Gideon Ooi; Lionel Cheng; Choon Hua Thng; Xinxing Xu; Yong Liu 026; Huazhu Fu (CoRR, 2023)

MedLocker: A Transferable Adversarial Watermarking for Preventing Unauthorized Analysis of Medical Image Dataset. - Bangzheng Pu; Xingxing Wei 001; Shiji Zhao; Huazhu Fu (CoRR, 2023)

Diff-UNet: A Diffusion Embedded Network for Volumetric Segmentation. - Zhaohu Xing; Liang Wan; Huazhu Fu; Guang Yang 006; Lei Zhu 003 (CoRR, 2023)

Uncertainty-inspired Open Set Learning for Retinal Anomaly Identification. - Meng Wang 038; Tian Lin; Lianyu Wang; Aidi Lin; Ke Zou; Xinxing Xu; Yi Zhou 024; Yuanyuan Peng; Qingquan Meng; Yiming Qian; Guoyao Deng; Zhiqun Wu; et al. (CoRR, 2023)

PALM: Open Fundus Photograph Dataset with Pathologic Myopia Recognition and Anatomical Structure Annotation. - Huihui Fang; Fei Li 021; Junde Wu; Huazhu Fu; Xu Sun 006; José Ignacio Orlando; Hrvoje Bogunovic; Xiulan Zhang; Yanwu Xu 001 (CoRR, 2023)

Content-Preserving Diffusion Model for Unsupervised AS-OCT image Despeckling. - Sanqian Li; Risa Higashita; Huazhu Fu; Heng Li 010; Jingxuan Liu; Jiang Liu 001 (CoRR, 2023)

A Multi-view Impartial Decision Network for Frontotemporal Dementia Diagnosis. - Guoyao Deng; Ke Zou; Meng Wang 001; Xuedong Yuan; Sancong Ying; Huazhu Fu (CoRR, 2023)

DVPT: Dynamic Visual Prompt Tuning of Large Pre-trained Models for Medical Image Analysis. - Along He; Kai Wang 001; Zhihong Wang; Tao Li 022; Huazhu Fu (CoRR, 2023)

A Generic Fundus Image Enhancement Network Boosted by Frequency Self-supervised Representation Learning. - Heng Li 010; Haofeng Liu; Huazhu Fu; Yanwu Xu 001; Hui Shu; Ke Niu 002; Yan Hu; Jiang Liu 001 (CoRR, 2023)

Adapting Large Language Models for Content Moderation: Pitfalls in Data Engineering and Supervised Fine-tuning. - Huan Ma; Changqing Zhang; Huazhu Fu; Peilin Zhao; Bingzhe Wu (CoRR, 2023)

Federated Learning for Clinical Structured Data: A Benchmark Comparison of Engineering and Statistical Approaches. - Siqi Li 004; Di Miao; Qiming Wu 001; Chuan Hong; Danny D'Agostino; Xin Li 079; Yilin Ning; Yuqing Shang; Huazhu Fu; Marcus Eng Hock Ong; Hamed Haddadi; Nan Liu 003 (CoRR, 2023)

A Survey of Emerging Applications of Diffusion Probabilistic Models in MRI. - Yuheng Fan; Hanxi Liao; Shiqi Huang; Yimin Luo; Huazhu Fu; Haikun Qi (CoRR, 2023)

Segment Anything Model-guided Collaborative Learning Network for Scribble-supervised Polyp Segmentation. - Yiming Zhao; Tao Zhou 002; Yunqi Gu; Yi Zhou 007; Yizhe Zhang 001; Ye Wu 001; Huazhu Fu (CoRR, 2023)

Enhancing and Adapting in the Clinic: Source-free Unsupervised Domain Adaptation for Medical Image Enhancement. - Heng Li 010; Ziqin Lin; Zhongxi Qiu; Zinan Li; Huazhu Fu; Yan Hu; Jiang Liu 001 (CoRR, 2023)

Dual-scale Enhanced and Cross-generative Consistency Learning for Semi-supervised Polyp Segmentation. - Yunqi Gu; Tao Zhou 002; Yizhe Zhang 001; Yi Zhou 007; Kelei He; Chen Gong 002; Huazhu Fu (CoRR, 2023)

Specificity-preserving RGB-D saliency detection. - Tao Zhou 002; Deng-Ping Fan; Geng Chen 001; Yi Zhou 007; Huazhu Fu (Comput. Vis. Media, 2023)

Contrastive domain adaptation with consistency match for automated pneumonia diagnosis. - Yangqin Feng; Zizhou Wang; Xinxing Xu; Yan Wang 015; Huazhu Fu; Shaohua Li 003; Liangli Zhen; Xiaofeng Lei; Yingnan Cui; Jordan Zheng Ting Sim; Yonghan Ting; Joey Tianyi Zhou; et al. (Medical Image Anal., 2023)

Consistency and Diversity Induced Human Motion Segmentation. - Tao Zhou 002; Huazhu Fu; Chen Gong 002; Ling Shao 001; Fatih Porikli; Haibin Ling; Jianbing Shen (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Trusted Multi-View Classification With Dynamic Evidential Fusion. - Zongbo Han; Changqing Zhang; Huazhu Fu; Joey Tianyi Zhou (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Specificity-Preserving Federated Learning for MR Image Reconstruction. - Chun-Mei Feng 001; Yunlu Yan; Shanshan Wang 002; Yong Xu 001; Ling Shao 001; Huazhu Fu (IEEE Trans. Medical Imaging, 2023)

Bridging Synthetic and Real Images: A Transferable and Multiple Consistency Aided Fundus Image Enhancement Framework. - Erjian Guo; Huazhu Fu; Luping Zhou; Dong Xu 001 (IEEE Trans. Medical Imaging, 2023)

Dynamic Mixup for Multi-Label Long-Tailed Food Ingredient Recognition. - Jixiang Gao; Jingjing Chen 001; Huazhu Fu; Yu-Gang Jiang 001 (IEEE Trans. Multim., 2023)

Confidence-Aware Fusion Using Dempster-Shafer Theory for Multispectral Pedestrian Detection. - Qing Li 018; Changqing Zhang; Qinghua Hu; Huazhu Fu; Pengfei Zhu 001 (IEEE Trans. Multim., 2023)

Guest Editorial Special Issue on Geometric Deep Learning in Medical Imaging. - Huazhu Fu; Yitian Zhao; Pew-Thian Yap; Carola-Bibiane Schönlieb; Alejandro F. Frangi (IEEE Trans. Medical Imaging, 2023)

Global-and-Local Collaborative Learning for Co-Salient Object Detection. - Runmin Cong; Ning Yang 008; Chongyi Li; Huazhu Fu; Yao Zhao 001; Qingming Huang; Sam Kwong (IEEE Trans. Cybern., 2023)

SGU-Net: Shape-Guided Ultralight Network for Abdominal Image Segmentation. - Tao Lei; Rui Sun; Xiaogang Du; Huazhu Fu; Changqing Zhang; Asoke K. Nandi (IEEE J. Biomed. Health Informatics, 2023)

From Ensemble Clustering to Subspace Clustering: Cluster Structure Encoding. - Zhiqiang Tao; Jun Li 027; Huazhu Fu; Yu Kong 001; Yun Fu 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

Federated benchmarking of medical artificial intelligence with MedPerf. - Alexandros Karargyris; Renato Umeton; Micah J. Sheller; Alejandro Aristizabal; Johnu George; Anna Wuest; Sarthak Pati; Hasan Kassem; Maximilian Zenk; Ujjwal Baid; Prakash Narayana Moorthy; Alexander Chowdhury; et al. (Nat. Mac. Intell., 2023)

Flexible Fusion Network for Multi-Modal Brain Tumor Segmentation. - Hengyi Yang; Tao Zhou 002; Yi Zhou 007; Yizhe Zhang 001; Huazhu Fu (IEEE J. Biomed. Health Informatics, 2023)

Transformers in medical imaging: A survey. - Fahad Shamshad; Salman H. Khan 001; Syed Waqas Zamir; Muhammad Haris Khan; Munawar Hayat; Fahad Shahbaz Khan; Huazhu Fu (Medical Image Anal., 2023)

Cross-level Feature Aggregation Network for Polyp Segmentation. - Tao Zhou 002; Yi Zhou 007; Kelei He; Chen Gong 002; Jian Yang 003; Huazhu Fu; Dinggang Shen (Pattern Recognit., 2023)

RGB-D Human Matting: A Real-World Benchmark Dataset and a Baseline Method. - Bo Peng 007; Mingliang Zhang; Jianjun Lei; Huazhu Fu; Haifeng Shen; Qingming Huang (IEEE Trans. Circuits Syst. Video Technol., 2023)

GCoNet+: A Stronger Group Collaborative Co-Salient Object Detector. - Peng Zheng 004; Huazhu Fu; Deng-Ping Fan; Qi Fan; Jie Qin; Yu-Wing Tai; Chi-Keung Tang; Luc Van Gool (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Uncertainty-Aware Multi-Dimensional Mutual Learning for Brain and Brain Tumor Segmentation. - Junting Zhao; Zhaohu Xing; Zhihao Chen 004; Liang Wan; Tong Han; Huazhu Fu; Lei Zhu 003 (IEEE J. Biomed. Health Informatics, 2023)

H2Former: An Efficient Hierarchical Hybrid Transformer for Medical Image Segmentation. - Along He; Kai Wang 001; Tao Li 022; Chengkun Du; Shuang Xia; Huazhu Fu (IEEE Trans. Medical Imaging, 2023)

Knowledge driven weights estimation for large-scale few-shot image recognition. - Jingjing Chen 001; Linhai Zhuo; Zhipeng Wei; Hao Zhang 047; Huazhu Fu; Yu-Gang Jiang 001 (Pattern Recognit., 2023)

Dual Multiscale Mean Teacher Network for Semi-Supervised Infection Segmentation in Chest CT Volume for COVID-19. - Liansheng Wang; Jiacheng Wang 002; Lei Zhu 003; Huazhu Fu; Ping Li 016; Gary Cheng 001; Zhipeng Feng; Shuo Li 001; Pheng-Ann Heng (IEEE Trans. Cybern., 2023)

Multimodal Transformer for Accelerated MR Imaging. - Chun-Mei Feng 001; Yunlu Yan; Geng Chen 001; Yong Xu 001; Ying Hu; Ling Shao 001; Huazhu Fu (IEEE Trans. Medical Imaging, 2023)

A generic fundus image enhancement network boosted by frequency self-supervised representation learning. - Heng Li 010; Haofeng Liu; Huazhu Fu; Yanwu Xu 001; Hai Shu; Ke Niu 002; Yan Hu; Jiang Liu 001 (Medical Image Anal., 2023)

GAMMA challenge: Glaucoma grAding from Multi-Modality imAges. - Junde Wu; Huihui Fang; Fei Li 021; Huazhu Fu; Fengbin Lin; Jiongcheng Li; Yue Huang 001; Qinji Yu; Sifan Song; Xinxing Xu; Yanyu Xu; Wensai Wang; et al. (Medical Image Anal., 2023)

MG-Trans: Multi-Scale Graph Transformer With Information Bottleneck for Whole Slide Image Classification. - Jiangbo Shi; Lufei Tang; Zeyu Gao 001; Yang Li 139; Chunbao Wang 002; Tieliang Gong; Chen Li 011; Huazhu Fu (IEEE Trans. Medical Imaging, 2023)

MedSegDiff-V2: Diffusion-Based Medical Image Segmentation with Transformer. - Junde Wu; Wei Ji 011; Huazhu Fu; Min Xu; Yueming Jin; Yanwu Xu 001 (AAAI, 2024)

MIAD-MARK: Adversarial Watermarking of Medical Image for Protecting Copyright and Privacy. - Xingxing Wei 001; Bangzheng Pu; Chi Chen; Huazhu Fu (BIBM, 2024)

ViLa-MIL: Dual-scale Vision-Language Multiple Instance Learning for Whole Slide Image Classification. - Jiangbo Shi; Chen Li 011; Tieliang Gong; Yefeng Zheng 001; Huazhu Fu (CVPR, 2024)

An Aggregation-Free Federated Learning for Tackling Data Heterogeneity. - Yuan Wang 008; Huazhu Fu; Renuga Kanagavelu; Qingsong Wei; Yong Liu 026; Rick Siow Mong Goh (CVPR, 2024)

Self-Training Large Language and Vision Assistant for Medical Question Answering. - Guohao Sun; Can Qin; Huazhu Fu; Linwei Wang; Zhiqiang Tao (EMNLP, 2024)

FRCNet: Frequency and Region Consistency for Semi-supervised Medical Image Segmentation. - Along He; Tao Li 022; Yanlin Wu; Ke Zou; Huazhu Fu (MICCAI (8), 2024)

Open-Set Semi-supervised Medical Image Classification with Learnable Prototypes and Outlier Filter. - Along He; Tao Li 022; Yitian Zhao; Junyong Zhao; Huazhu Fu (MICCAI (11), 2024)

Memory-Efficient High-Resolution OCT Volume Synthesis with Cascaded Amortized Latent Diffusion Models. - Kun Huang; Xiao Ma 011; Yuhan Zhang 001; Na Su; Songtao Yuan; Yong Liu 026; Qiang Chen 004; Huazhu Fu (MICCAI (7), 2024)

MedSynth: Leveraging Generative Model for Healthcare Data Sharing. - Renuga Kanagavelu; Madhav Walia; Yuan Wang 008; Huazhu Fu; Qingsong Wei; Yong Liu 026; Rick Siow Mong Goh (MICCAI (12), 2024)

MPMNet: Modal Prior Mutual-Support Network for Age-Related Macular Degeneration Classification. - Yuanyuan Li; Huaying Hao; Dan Zhang; Huazhu Fu; Mengting Liu; Caifeng Shan; Yitian Zhao; Jiong Zhang (MICCAI (1), 2024)

Data Heterogeneity-Aware Personalized Federated Learning for Diagnosis. - Huiyan Lin; Heng Li 010; Haojin Li; Xiangyang Yu; Kuai Yu; Chenhao Liang; Huazhu Fu; Jiang Liu 001 (OMIA@MICCAI, 2024)

DB-SAM: Delving into High Quality Universal Medical Image Segmentation. - Chao Qin; Jiale Cao; Huazhu Fu; Fahad Shahbaz Khan; Rao Muhammad Anwer (MICCAI (12), 2024)

Enhancing Large Foundation Models to Identify Fundus Diseases Based on Contrastive Enhanced Low-Rank Adaptation Prompt. - Meng Wang 001; Tian Lin; Ting Xu; Ke Zou; Haoyu Chen 002; Huazhu Fu; Ching-Yu Cheng (OMIA@MICCAI, 2024)

MM-Retinal: Knowledge-Enhanced Foundational Pretraining with Fundus Image-Text Expertise. - Ruiqi Wu; Chenran Zhang; Jianle Zhang; Yi Zhou 007; Tao Zhou 002; Huazhu Fu (MICCAI (1), 2024)

Multi-Scale Region-Aware Implicit Neural Network for Medical Images Matting. - Yanyu Xu; Yingzhi Xia; Huazhu Fu; Rick Siow Mong Goh; Yong Liu 026; Xinxing Xu (MICCAI (9), 2024)

CLIP-DR: Textual Knowledge-Guided Diabetic Retinopathy Grading with Ranking-Aware Prompting. - Qinkai Yu; Jianyang Xie; Anh Nguyen 003; He Zhao; Jiong Zhang; Huazhu Fu; Yitian Zhao; Yalin Zheng; Yanda Meng (MICCAI (1), 2024)

Reliable Source Approximation: Source-Free Unsupervised Domain Adaptation for Vestibular Schwannoma MRI Segmentation. - Hongye Zeng; Ke Zou; Zhihao Chen 004; Rui Zheng; Huazhu Fu (MICCAI (10), 2024)

MedMLP: An Efficient MLP-Like Network for Zero-Shot Retinal Image Classification. - Menghan Zhou; Yanyu Xu; Zhi Da Soh; Huazhu Fu; Rick Siow Mong Goh; Ching-Yu Cheng; Yong Liu 026; Liangli Zhen (MICCAI (3), 2024)

Partially Supervised Unpaired Multi-modal Learning for Label-Efficient Medical Image Segmentation. - Lei Zhu 003; Yanyu Xu; Huazhu Fu; Xinxing Xu; Rick Siow Mong Goh; Yong Liu 026 (MLMI@MICCAI (2), 2024)

Resfusion: Denoising Diffusion Probabilistic Models for Image Restoration Based on Prior Residual Noise. - Zhenning Shi; Haoshuai Zheng; Chen Xu; Changsheng Dong; Bin Pan; Xueshuo Xie; Along He; Tao Li 002; Huazhu Fu (NeurIPS, 2024)

Out-Of-Distribution Detection with Diversification (Provably). - Haiyun Yao; Zongbo Han; Huazhu Fu; Xi Peng 001; Qinghua Hu; Changqing Zhang (NeurIPS, 2024)

Rethinking the Reliability of Post-hoc Calibration Methods Under Subpopulation Shift. - Yan Zhu; Huan Ma; Changqing Zhang; Bingzhe Wu; Huazhu Fu; Joey Tianyi Zhou; Qinghua Hu (PRICAI (2), 2024)

Iterative feedback-based models for image and video polyp segmentation. - Liang Wan; Zhihao Chen 004; Yefan Xiao; Junting Zhao; Wei Feng 005; Huazhu Fu (Comput. Biol. Medicine, 2024)

Training-free image style alignment for self-adapting domain shift on handheld ultrasound devices. - Hongye Zeng; Ke Zou; Zhihao Chen 004; Yuchong Gao; Hongbo Chen; Haibin Zhang; Kang Zhou 001; Meng Wang 001; Rick Siow Mong Goh; Yong Liu 026; Chang Jiang; Rui Zheng; et al. (CoRR, 2024)

Don't Forget What I did?: Assessing Client Contributions in Federated Learning. - Bishwamittra Ghosh; Debabrota Basu; Huazhu Fu; Yuan Wang 008; Renuga Kanagavelu; Jiang Jin Peng; Yong Liu 026; Rick Siow Mong Goh; Qingsong Wei (CoRR, 2024)

AIC-UNet: Anatomy-informed Cascaded UNet for Robust Multi-Organ Segmentation. - Young Seok Jeon; Hongfei Yang; Huazhu Fu; Mengling Feng (CoRR, 2024)

Instrument-tissue Interaction Detection Framework for Surgical Video Understanding. - Wenjun Lin; Yan Hu; Huazhu Fu; Mingming Yang; Chin-Boon Chng; Ryo Kawasaki; Cheekong Chui; Jiang Liu 001 (CoRR, 2024)

MedRG: Medical Report Grounding with Multi-modal Large Language Model. - Ke Zou; Yang Bai; Zhihao Chen 004; Yang Zhou 017; Yidi Chen; Kai Ren; Meng Wang 001; Xuedong Yuan; Xiaojing Shen; Huazhu Fu (CoRR, 2024)

Multimodal Fusion on Low-quality Data: A Comprehensive Survey. - Qingyang Zhang; Yake Wei; Zongbo Han; Huazhu Fu; Xi Peng 001; Cheng Deng; Qinghua Hu; Cai Xu; Jie Wen; Di Hu 001; Changqing Zhang (CoRR, 2024)

RaffeSDG: Random Frequency Filtering enabled Single-source Domain Generalization for Medical Image Segmentation. - Heng Li 010; Haojin Li; Jianyu Chen; Zhongxi Qiu; Huazhu Fu; Lidai Wang; Yan Hu; Jiang Liu 001 (CoRR, 2024)

Is Dataset Quality Still a Concern in Diagnosis Using Large Foundation Model? - Ziqin Lin; Heng Li 010; Zinan Li; Huazhu Fu; Jiang Liu 001 (CoRR, 2024)

Confidence-Based Task Prediction in Continual Disease Classification Using Probability Distribution. - Tanvi Verma; Lukas Schwemer; Mingrui Tan; Fei Gao; Yong Liu 026; Huazhu Fu (CoRR, 2024)

Towards Federated Domain Unlearning: Verification Methodologies and Challenges. - Kahou Tam; Kewei Xu; Li Li 064; Huazhu Fu (CoRR, 2024)

Common and Rare Fundus Diseases Identification Using Vision-Language Foundation Model with Knowledge of Over 400 Diseases. - Meng Wang 038; Tian Lin; Aidi Lin; Kai Yu 009; Yuanyuan Peng; Lianyu Wang; Cheng Chen 013; Ke Zou; Huiyu Liang; Man Chen; Xue Yao; Meiqin Zhang; et al. (CoRR, 2024)

Enhancing Diagnostic Reliability of Foundation Model with Uncertainty Estimation in OCT Images. - Yuanyuan Peng; Aidi Lin; Meng Wang 038; Tian Lin; Ke Zou; Yinglin Cheng; Tingkun Shi; Xulong Liao; Lixia Feng; Zhen Liang; Xinjian Chen 001; Huazhu Fu; et al. (CoRR, 2024)

STLLaVA-Med: Self-Training Large Language and Vision Assistant for Medical. - Guohao Sun; Can Qin; Huazhu Fu; Linwei Wang; Zhiqiang Tao (CoRR, 2024)

Beyond the Eye: A Relational Model for Early Dementia Detection Using Retinal OCTA Images. - Shouyue Liu; Jinkui Hao; Yonghuai Liu; Huazhu Fu; Xinyu Guo; Shuting Zhang; Yitian Zhao (CoRR, 2024)

Say No to Freeloader: Protecting Intellectual Property of Your Deep Model. - Lianyu Wang; Meng Wang 001; Huazhu Fu; Daoqiang Zhang (CoRR, 2024)

MedSAM-U: Uncertainty-Guided Auto Multi-Prompt Adaptation for Reliable MedSAM. - Nan Zhou; Ke Zou; Kai Ren; Mengting Luo; Linchao He; Meng Wang 001; Yidi Chen; Yi Zhang; Hu Chen; Huazhu Fu (CoRR, 2024)

Serp-Mamba: Advancing High-Resolution Retinal Vessel Segmentation with Selective State-Space Model. - Hongqiu Wang; Yixian Chen; Wu Chen; Huihui Xu; Haoyu Zhao; Bin Sheng 001; Huazhu Fu; Guang Yang 006; Lei Zhu 003 (CoRR, 2024)

GEMeX: A Large-Scale, Groundable, and Explainable Medical VQA Benchmark for Chest X-ray Diagnosis. - Bo Liu 049; Ke Zou; Liming Zhan; Zexin Lu; Xiaoyu Dong; Yidi Chen; Chengqiang Xie; Jiannong Cao 001; Xiao-Ming Wu 003; Huazhu Fu (CoRR, 2024)

A principled framework for explainable multimodal disentanglement. - Zongbo Han; Tao Luo 014; Huazhu Fu; Qinghua Hu; Joey Tianyi Zhou; Changqing Zhang (Inf. Sci., 2024)

E2-MIL: An explainable and evidential multiple instance learning framework for whole slide image classification. - Jiangbo Shi; Chen Li 011; Tieliang Gong; Huazhu Fu (Medical Image Anal., 2024)

Confidence-aware multi-modality learning for eye disease screening. - Ke Zou; Tian Lin; Zongbo Han; Meng Wang 001; Xuedong Yuan; Haoyu Chen 002; Changqing Zhang; Xiaojing Shen; Huazhu Fu (Medical Image Anal., 2024)

Early detection of dementia through retinal imaging and trustworthy AI. - Jinkui Hao; William Robert Kwapong; Ting Shen; Huazhu Fu; Yanwu Xu 001; Qinkang Lu; Shouyue Liu; Jiong Zhang; Yonghuai Liu; Yifan Zhao 001; Yalin Zheng; Alejandro F. Frangi; et al. (npj Digit. Medicine, 2024)

Learning Physical-Spatio-Temporal Features for Video Shadow Removal. - Zhihao Chen 004; Liang Wan; Yefan Xiao; Lei Zhu 003; Huazhu Fu (IEEE Trans. Circuits Syst. Video Technol., 2024)

Fusion-Embedding Siamese Network for Light Field Salient Object Detection. - Geng Chen 001; Huazhu Fu; Tao Zhou 002; Guobao Xiao; Keren Fu; Yong Xia 001; Yanning Zhang 001 (IEEE Trans. Multim., 2024)

DR-FER: Discriminative and Robust Representation Learning for Facial Expression Recognition. - Ming Li 073; Huazhu Fu; Shengfeng He; Hehe Fan; Jun Liu 036; Jussi Keppo; Mike Zheng Shou (IEEE Trans. Multim., 2024)

Self-Mining the Confident Prototypes for Source-Free Unsupervised Domain Adaptation in Image Segmentation. - Yuntong Tian; Jiaxi Li; Huazhu Fu; Lei Zhu 003; Lequan Yu; Liang Wan (IEEE Trans. Multim., 2024)

Autoencoder in Autoencoder Networks. - Changqing Zhang; Yu Geng; Zongbo Han; Yeqing Liu; Huazhu Fu; Qinghua Hu (IEEE Trans. Neural Networks Learn. Syst., 2024)

Edge-Guided Contrastive Adaptation Network for Arteriovenous Nicking Classification Using Synthetic Data. - Jicheng Liu; Hui Liu; Huazhu Fu; Yu Ye 003; Kun Chen; Yu Lu; Jianbo Mao; Ronald X. Xu; Mingzhai Sun (IEEE Trans. Medical Imaging, 2024)

Stabilizing Multispectral Pedestrian Detection With Evidential Hybrid Fusion. - Qing Li 018; Changqing Zhang; Qinghua Hu; Pengfei Zhu 001; Huazhu Fu; Lei Chen 011 (IEEE Trans. Circuits Syst. Video Technol., 2024)

Enhancing and Adapting in the Clinic: Source-Free Unsupervised Domain Adaptation for Medical Image Enhancement. - Heng Li 010; Ziqin Lin; Zhongxi Qiu; Zinan Li; Ke Niu 002; Na Guo; Huazhu Fu; Yan Hu; Jiang Liu 001 (IEEE Trans. Medical Imaging, 2024)

Bilateral Supervision Network for Semi-Supervised Medical Image Segmentation. - Along He; Tao Li 022; Juncheng Yan; Kai Wang 001; Huazhu Fu (IEEE Trans. Medical Imaging, 2024)

Geometric Correspondence-Based Multimodal Learning for Ophthalmic Image Analysis. - Yan Wang 015; Liangli Zhen; Tien-En Tan; Huazhu Fu; Yangqin Feng; Zizhou Wang; Xinxing Xu; Rick Siow Mong Goh; Yipin Ng; Claire Calhoun; Gavin Siew Wei Tan; Jennifer K. Sun; et al. (IEEE Trans. Medical Imaging, 2024)

Low-Contrast Medical Image Segmentation via Transformer and Boundary Perception. - Yinglin Zhang; Ruiling Xi; Wei Wang 490; Heng Li 010; Lingxi Hu; Huiyan Lin; Dave Towey; Ruibin Bai; Huazhu Fu; Risa Higashita; Jiang Liu 001 (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

Instrument-Tissue Interaction Detection Framework for Surgical Video Understanding. - Wenjun Lin; Yan Hu; Huazhu Fu; Mingming Yang; Chin-Boon Chng; Ryo Kawasaki; Chee-Kong Chui; Jiang Liu 001 (IEEE Trans. Medical Imaging, 2024)

Exploring Separable Attention for Multi-Contrast MR Image Super-Resolution. - Chun-Mei Feng 001; Yunlu Yan; Kai Yu 009; Yong Xu 001; Huazhu Fu; Jian Yang 003; Ling Shao 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Diverse Data Generation for Retinal Layer Segmentation With Potential Structure Modeling. - Kun Huang; Xiao Ma 011; Zetian Zhang; Yuhan Zhang 001; Songtao Yuan; Huazhu Fu; Qiang Chen 004 (IEEE Trans. Medical Imaging, 2024)

ViDSOD-100: A New Dataset and a Baseline Model for RGB-D Video Salient Object Detection. - Junhao Lin; Lei Zhu 003; Jiaxing Shen; Huazhu Fu; Qing Zhang 006; Liansheng Wang (Int. J. Comput. Vis., 2024)

Say No to Freeloader: Protecting Intellectual Property of Your Deep Model. - Lianyu Wang; Meng Wang 038; Huazhu Fu; Daoqiang Zhang (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Structure and Intensity Unbiased Translation for 2D Medical Image Segmentation. - Tianyang Zhang 003; Shaoming Zheng; Jun Cheng 003; Xi Jia; Joseph Bartlett; Xinxing Cheng; Zhaowen Qiu; Huazhu Fu; Jiang Liu 001; Ales Leonardis; Jinming Duan 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Learning Motion-Guided Multi-Scale Memory Features for Video Shadow Detection. - Junhao Lin; Jiaxing Shen; Xin Yang 011; Huazhu Fu; Qing Zhang 006; Ping Li 016; Bin Sheng 001; Liansheng Wang; Lei Zhu 003 (IEEE Trans. Circuits Syst. Video Technol., 2024)

AIF-SFDA: Autonomous Information Filter Driven Source-Free Domain Adaptation for Medical Image Segmentation. - Haojin Li; Heng Li 010; Jianyu Chen; Rihan Zhong; Ke Niu 002; Huazhu Fu; Jiang Liu 001 (AAAI, 2025)

Look Back for More: Harnessing Historical Sequential Updates for Personalized Federated Adapter Tuning. - Danni Peng; Yuan Wang 008; Huazhu Fu; Jinpeng Jiang; Yong Liu 026; Rick Siow Mong Goh; Qingsong Wei (AAAI, 2025)

Vision-Language Model IP Protection via Prompt-based Learning. - Lianyu Wang; Meng Wang; Huazhu Fu; Daoqiang Zhang (CVPR, 2025)

A Simple Data Augmentation for Feature Distribution Skewed Federated Learning. - Yunlu Yan; Huazhu Fu; Yuexiang Li; Jinheng Xie; Jun Ma 008; Guang Yang 006; Lei Zhu 003 (CVPR, 2025)

MExD: An Expert-Infused Diffusion Model for Whole-Slide Image Classification. - Jianwei Zhao; Xin Li 079; Fan Yang 054; Qiang Zhai; Ao Luo; Yang Zhao 024; Hong Cheng 002; Huazhu Fu (CVPR, 2025)

Dynamic Allocation Hypernetwork with Adaptive Model Recalibration for Federated Continual Learning. - Xiaoming Qi; Jingyang Zhang; Huazhu Fu; Guanyu Yang 001; Shuo Li 001; Yueming Jin (IPMI (1), 2025)

F2UE-NET: An Uncertainty-Driven Dynamic Expert Network for Long-Tail Retinal Disease Classification. - Junyong Zhao; Tian Lin; Meng Wang 001; Liang Sun; Haoyu Chen 002; Daoqiang Zhang; Huazhu Fu (ISBI, 2025)

Uncertainty-aware regression model to predict post-operative visual acuity in patients with macular holes. - Burak Kucukgoz; Ke Zou; Declan C. Murphy; David H. Steel; Boguslaw Obara; Huazhu Fu (Comput. Medical Imaging Graph., 2025)

Attention-guided hierarchical fusion U-Net for uncertainty-driven medical image segmentation. - Afsana Ahmed Munia; Moloud Abdar; Mehedi Hasan; Mohammad S. Jalali; Biplab Banerjee; Abbas Khosravi; Ibrahim Hossain; Huazhu Fu; Alejandro F. Frangi (Inf. Fusion, 2025)

WeakPolyp-SAM: Segment Anything Model-driven weakly-supervised polyp segmentation. - Yiming Zhao; Tao Zhou 002; Yunqi Gu; Yi Zhou 007; Yizhe Zhang 001; Ye Wu 001; Huazhu Fu (Knowl. Based Syst., 2025)

AdaptFRCNet: Semi-supervised adaptation of pre-trained model with frequency and region consistency for medical image segmentation. - Along He; Yanlin Wu; Zhihong Wang; Tao Li 022; Huazhu Fu (Medical Image Anal., 2025)

Beyond the eye: A relational model for early dementia detection using retinal OCTA images. - Shouyue Liu; Ziyi Zhang; Yuanyuan Gu; Jinkui Hao; Yonghuai Liu; Huazhu Fu; Xinyu Guo; Hong Song; Shuting Zhang; Yitian Zhao (Medical Image Anal., 2025)

Diff-UNet: A diffusion embedded network for robust 3D medical image segmentation. - Zhaohu Xing; Liang Wan; Huazhu Fu; Guang Yang 006; Yijun Yang; Lequan Yu; Baiying Lei; Lei Zhu 003 (Medical Image Anal., 2025)

PathFL: Multi-alignment Federated Learning for pathology image segmentation. - Yuan Zhang 019; Feng Chen; Yaolei Qi; Guanyu Yang 001; Huazhu Fu (Medical Image Anal., 2025)

DVPT: Dynamic Visual Prompt Tuning of large pre-trained models for medical image analysis. - Along He; Yanlin Wu; Zhihong Wang; Tao Li 022; Huazhu Fu (Neural Networks, 2025)

Dual-scale enhanced and cross-generative consistency learning for semi-supervised medical image segmentation. - Yunqi Gu; Tao Zhou 002; Yizhe Zhang 001; Yi Zhou 007; Kelei He; Chen Gong 002; Huazhu Fu (Pattern Recognit., 2025)

3D microvascular reconstruction in retinal OCT angiography images via domain-adaptive learning. - Jiong Zhang; Shuai Yu; Yonghuai Liu; Dan Zhang; Jianyang Xie; Tao Chen 003; Yalin Zheng; Huazhu Fu; Yitian Zhao (Pattern Recognit., 2025)

Lighting is Unreliable: Adversarial Video Relighting Against rPPG Heart Rate Measurement. - Menglin Zhang; Xiaoxin Guo; Xiaofeng Cao 002; Shuifa Sun; Huazhu Fu; Qing Guo 005 (IEEE Trans. Inf. Forensics Secur., 2025)

VSR-Net: Vessel-Like Structure Rehabilitation Network With Graph Clustering. - Haili Ye; Xiao-Qing Zhang 001; Yan Hu; Huazhu Fu; Jiang Liu 001 (IEEE Trans. Image Process., 2025)

A survey on deep learning for polyp segmentation: techniques, challenges and future trends. - Jiaxin Mei; Tao Zhou 002; Kaiwen Huang; Yizhe Zhang 001; Yi Zhou 007; Ye Wu 001; Huazhu Fu (Vis. Intell., 2025)

No More Sliding Window: Efficient 3D Medical Image Segmentation with Differentiable Top-k Patch Sampling. - Young Seok Jeon; Hongfei Yang; Huazhu Fu; Mengling Feng (CoRR, 2025)

Fundus Image Quality Assessment and Enhancement: a Systematic Review. - Heng Li; Haojin Li; Mingyang Ou; Xiangyang Yu; Xiaoqing Zhang; Ke Niu; Huazhu Fu; Jiang Liu 001 (CoRR, 2025)

MM-Retinal V2: Transfer an Elite Knowledge Spark into Fundus Vision-Language Pretraining. - Ruiqi Wu; Na Su; Chenran Zhang; Tengfei Ma; Tao Zhou 002; Zhiting Cui; Nianfeng Tang; Tianyu Mao; Yi Zhou 007; Wen Fan 003; Tianxing Wu 001; Shenqi Jing; et al. (CoRR, 2025)

Adversarial Exposure Attack on Diabetic Retinopathy Imagery Grading. - Yupeng Cheng; Qing Guo 005; Felix Juefei-Xu; Huazhu Fu; Shangwei Lin 001; Weisi Lin (IEEE J. Biomed. Health Informatics, 2025)

Score Prior Guided Iterative Solver for Speckles Removal in Optical Coherent Tomography Images. - Sanqian Li; Risa Higashita; Huazhu Fu; Bing Yang; Jiang Liu 001 (IEEE J. Biomed. Health Informatics, 2025)

$ text{MR}^{2}$-Net: Retinal OCTA Image Stitching via Multi-Scale Representation Learning and Dynamic Location Guidance. - Haiting Mao; Yuhui Ma; Dan Zhang; Yanda Meng; Shaodong Ma; Yuchuan Qiao; Huazhu Fu; Caifeng Shan; Da Chen 002; Yitian Zhao; Jiong Zhang (IEEE J. Biomed. Health Informatics, 2025)

Federated Noisy Client Learning. - Kahou Tam; Li Li 064; Bo Han 003; Cheng-Zhong Xu 001; Huazhu Fu (IEEE Trans. Neural Networks Learn. Syst., 2025)

A Contrast-Aware Edge Enhancement GAN for Unpaired Anterior Segment OCT Image Denoising. - Sanqian Li; Yizhou Wang; Risa Higashita; Huazhu Fu; Jiang Liu 001 (IEEE Trans. Circuits Syst. Video Technol., 2025)

EM-Trans: Edge-Aware Multimodal Transformer for RGB-D Salient Object Detection. - Geng Chen 001; Qingyue Wang; Bo Dong 001; Ruitao Ma; Nian Liu; Huazhu Fu; Yong Xia 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

Vision-Language Model IP Protection via Prompt-based Learning. - Lianyu Wang; Meng Wang 001; Huazhu Fu; Daoqiang Zhang (CoRR, 2025)

FundusGAN: A Hierarchical Feature-Aware Generative Framework for High-Fidelity Fundus Image Generation. - Qingshan Hou; Meng Wang 001; Peng Cao 001; Ke Zou; Xiaoli Liu 001; Huazhu Fu; Osmar R. Zaïane (CoRR, 2025)

Dynamic Allocation Hypernetwork with Adaptive Model Recalibration for FCL. - Xiaoming Qi; Jingyang Zhang; Huazhu Fu; Guanyu Yang 001; Shuo Li 001; Yueming Jin (CoRR, 2025)

Vision-Amplified Semantic Entropy for Hallucination Detection in Medical Visual Question Answering. - Zehui Liao; Shishuai Hu; Ke Zou; Huazhu Fu; Liangli Zhen; Yong Xia 001 (CoRR, 2025)

CoD-MIL: Chain-of-Diagnosis Prompting Multiple Instance Learning for Whole Slide Image Classification. - Jiangbo Shi; Chen Li 011; Tieliang Gong; Chunbao Wang 002; Huazhu Fu (IEEE Trans. Medical Imaging, 2025)

Topicwise Separable Sentence Retrieval for Medical Report Generation. - Junting Zhao; Yang Zhou 017; Zhihao Chen 004; Huazhu Fu; Liang Wan (IEEE Trans. Medical Imaging, 2025)

DONet: Dual-Octave Network for Fast MR Image Reconstruction. - Chun-Mei Feng 001; Zhanyuan Yang; Huazhu Fu; Yong Xu 001; Jian Yang 003; Ling Shao 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

Orthogonal Subspace Representation for Generative Adversarial Networks. - Hongxiang Jiang; Xiaoyan Luo; Jihao Yin; Huazhu Fu; Fuxiang Wang (IEEE Trans. Neural Networks Learn. Syst., 2025)

A Clinician-Friendly Platform for Ophthalmic Image Analysis Without Technical Barriers. - Meng Wang 038; Tian Lin; Qingshan Hou; Aidi Lin; Jingcheng Wang; Qingsheng Peng; Truong X. Nguyen; Danqi Fang; Ke Zou; Ting Xu; Cancan Xue; Ten Cheer Quek; et al. (CoRR, 2025)

Prompt Guiding Multi-Scale Adaptive Sparse Representation-driven Network for Low-Dose CT MAR. - Baoshun Shi; Bing Chen; Shaolei Zhang; Huazhu Fu; Zhanli Hu (CoRR, 2025)

Reliable Federated Disentangling Network for Non-IID Domain Feature. - Meng Wang 038; Kai Yu 009; Chun-Mei Feng 001; Yiming Qian; Ke Zou; Lianyu Wang; Rick Siow Mong Goh; Xinxing Xu; Yong Liu 026; Huazhu Fu (IEEE Trans. Big Data, 2025)

Hierarchical Context Transformer for Multi-Level Semantic Scene Understanding. - Luoying Hao; Yan Hu; Yang Yue; Li Wu; Huazhu Fu; Jinming Duan 001; Jiang Liu 001 (IEEE Trans. Circuits Syst. Video Technol., 2025)

Training-Free Image Style Alignment for Domain Shift on Handheld Ultrasound Devices. - Hongye Zeng; Ke Zou; Zhihao Chen 004; Yuchong Gao; Hongbo Chen; Haibin Zhang; Kang Zhou 001; Meng Wang 038; Chang Jiang; Rick Siow Mong Goh; Yong Liu 026; Chengcheng Zhu; et al. (IEEE Trans. Medical Imaging, 2025)

Generative Models in Computational Pathology: A Comprehensive Survey on Methods, Applications, and Challenges. - Yuan Zhang 019; Xinfeng Zhang; Xiaoming Qi; Xinyu Wu; Feng Chen; Guanyu Yang 001; Huazhu Fu (CoRR, 2025)

Few-Shot Learning from Gigapixel Images via Hierarchical Vision-Language Alignment and Modeling. - Bryan Wong; Jong Woo Kim; Huazhu Fu; Mun Yong Yi (CoRR, 2025)

Learnable Prompting SAM-Induced Knowledge Distillation for Semi-Supervised Medical Image Segmentation. - Kaiwen Huang; Tao Zhou 002; Huazhu Fu; Yizhe Zhang 001; Yi Zhou 007; Chen Gong 002; Dong Liang 001 (IEEE Trans. Medical Imaging, 2025)

Multi-View Test-Time Adaptation for Semantic Segmentation in Clinical Cataract Surgery. - Heng Li 010; Mingyang Ou; Haojin Li; Zhongxi Qiu; Ke Niu 002; Huazhu Fu; Jiang Liu 001 (IEEE Trans. Medical Imaging, 2025)

DiffMIC-v2: Medical Image Classification via Improved Diffusion Network. - Yijun Yang; Huazhu Fu; Angelica I. Avilés-Rivero; Zhaohu Xing; Lei Zhu 003 (IEEE Trans. Medical Imaging, 2025)

APTOS-2024 challenge report: Generation of synthetic 3D OCT images from fundus photographs. - Bowen Liu; Weiyi Zhang 004; Peranut Chotcomwongse; Xiaolan Chen; Ruoyu Chen; Pawin Pakaymaskul; Niracha Arjkongharn; Nattaporn Vongsa; Xuelian Cheng; Zongyuan Ge; Kun Huang; Xiaohui Li; et al. (CoRR, 2025)

GEMeX-ThinkVG: Towards Thinking with Visual Grounding in Medical VQA via Reinforcement Learning. - Bo Liu; Xiangyu Zhao; Along He; Yidi Chen; Huazhu Fu; Xiao-Ming Wu (CoRR, 2025)

Modality-Aware Distillation Network for Microvascular Invasion Prediction of Hepatocellar Carcinoma From MRI Images. - Yinghao Zhang; Hong Liu; Lei Zhu 003; Huanhuan Chong; Huazhu Fu; Lequan Yu; Ping Li 016; Jing Qin 001; David Dagan Feng; Liansheng Wang (IEEE Trans. Biomed. Eng., 2025)

Uncertainty-Inspired Multi-Task Learning in Arbitrary Scenarios of ECG Monitoring. - Xingyao Wang 001; Hongxiang Gao; Caiyun Ma; Tingting Zhu 001; Feng Yang; Chengyu Liu 001; Huazhu Fu (IEEE J. Biomed. Health Informatics, 2025)

Masked Vascular Structure Segmentation and Completion in Retinal Images. - Yi Zhou 024; Thiara Sana Ahmed; Meng Wang 038; Eric A. Newman; Leopold Schmetterer; Huazhu Fu; Jun Cheng 003; Bingyao Tan (IEEE Trans. Medical Imaging, 2025)

Parameterized Diffusion Optimization enabled Autoregressive Ordinal Regression for Diabetic Retinopathy Grading. - Qinkai Yu; Wei Zhou; Hantao Liu; Yanyu Xu; Meng Wang 038; Yitian Zhao; Huazhu Fu; Xujiong Ye; Yalin Zheng; Yanda Meng (CoRR, 2025)

Cycle Context Verification for In-Context Medical Image Segmentation. - Shishuai Hu; Zehui Liao; Liangli Zhen; Huazhu Fu; Yong Xia 001 (CoRR, 2025)

Text-driven Multiplanar Visual Interaction for Semi-supervised Medical Image Segmentation. - Kaiwen Huang; Yi Zhou 007; Huazhu Fu; Yizhe Zhang 001; Chen Gong 002; Tao Zhou 002 (CoRR, 2025)

Neovascularization Segmentation via a Multilateral Interaction-Enhanced Graph Convolutional Network. - Tao Chen 003; Dan Zhang; Da Chen; Huazhu Fu; Kai Jin; Shanshan Wang; Laurent D. Cohen; Yitian Zhao; Quanyong Yi; Jiong Zhang (CoRR, 2025)

AdaFusion: Prompt-Guided Inference with Adaptive Fusion of Pathology Foundation Models. - Yuxiang Xiao; Yang Hu; Bin Li; Tianyang Zhang 003; Zexi Li; Huazhu Fu; Jens Rittscher; Kaixiang Yang (CoRR, 2025)

Uncertainty-aware Cross-training for Semi-supervised Medical Image Segmentation. - Kaiwen Huang; Tao Zhou; Huazhu Fu; Yizhe Zhang; Yi Zhou; Xiao-Jun Wu (CoRR, 2025)

Improving Learning of New Diseases through Knowledge-Enhanced Initialization for Federated Adapter Tuning. - Danni Peng; Yuan Wang; Kangning Cai; Peiyan Ning; Jiming Xu; Yong Liu; Rick Siow Mong Goh; Qingsong Wei; Huazhu Fu (CoRR, 2025)

EH-Benchmark: Ophthalmic hallucination benchmark and agent-driven top-down traceable reasoning workflow. - Xiaoyu Pan; Yang Bai; Ke Zou; Yang Zhou 017; Jun Zhou 014; Huazhu Fu; Yih-Chung Tham; Yong Liu 026 (Inf. Fusion, 2026)

KPVG: Knowledge-prompted vision-genomics model for cancer survival prediction in whole slide images. - Jiangbo Shi; Chen Li 011; Yefeng Zheng 001; Huazhu Fu (Inf. Fusion, 2026)

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)