Huazhu Fu

ORCID

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 368

Top Venues

CoRR

IEEE Trans. Medical Imaging

CVPR

Medical Image Anal.

Publications

Junde Wu, Wei Ji, Huazhu Fu, Min Xu, Yueming Jin, Yanwu Xu
MedSegDiff-V2: Diffusion-Based Medical Image Segmentation with Transformer. AAAI (2024)
Yuanyuan Peng, Aidi Lin, Meng Wang, Tian Lin, Ke Zou, Yinglin Cheng, Tingkun Shi, Xuelong Li, Lixia Feng, Zhen Liang, Xinjian Chen, Huazhu Fu, Haoyu Chen
Enhancing Diagnostic Reliability of Foundation Model with Uncertainty Estimation in OCT Images. CoRR (2024)
Ke Zou, Yang Bai, Zhihao Chen, Yang Zhou, Yidi Chen, Kai Ren, Meng Wang, Xuedong Yuan, Xiaojing Shen, Huazhu Fu
MedRG: Medical Report Grounding with Multi-modal Large Language Model. CoRR (2024)
Ruiqi Wu, Chenran Zhang, Jianle Zhang, Yi Zhou, Tao Zhou, Huazhu Fu
MM-Retinal: Knowledge-Enhanced Foundational Pretraining with Fundus Image-Text Expertise. CoRR (2024)
Heng Li, Haojin Li, Jianyu Chen, Zhongxi Qiu, Huazhu Fu, Lidai Wang, Yan Hu, Jiang Liu
RaffeSDG: Random Frequency Filtering enabled Single-source Domain Generalization for Medical Image Segmentation. CoRR (2024)
Young Seok Jeon, Hongfei Yang, Huazhu Fu, Mengling Feng
AIC-UNet: Anatomy-informed Cascaded UNet for Robust Multi-Organ Segmentation. CoRR (2024)
Hongye Zeng, Ke Zou, Zhihao Chen, Rui Zheng, Huazhu Fu
Reliable Source Approximation: Source-Free Unsupervised Domain Adaptation for Vestibular Schwannoma MRI Segmentation. CoRR (2024)
Changqing Zhang, Yu Geng, Zongbo Han, Yeqing Liu, Huazhu Fu, Qinghua Hu
Autoencoder in Autoencoder Networks. IEEE Trans. Neural Networks Learn. Syst. 35 (2) (2024)
Yuan Wang, Huazhu Fu, Renuga Kanagavelu, Qingsong Wei, Yong Liu, Rick Siow Mong Goh
An Aggregation-Free Federated Learning for Tackling Data Heterogeneity. CoRR (2024)
Ke Zou, Tian Lin, Zongbo Han, Meng Wang, Xuedong Yuan, Haoyu Chen, Changqing Zhang, Xiaojing Shen, Huazhu Fu
Confidence-aware multi-modality learning for eye disease screening. Medical Image Anal. 96 (2024)
Along He, Tao Li, Yanlin Wu, Ke Zou, Huazhu Fu
FRCNet Frequency and Region Consistency for Semi-supervised Medical Image Segmentation. CoRR (2024)
Along He, Tao Li, Juncheng Yan, Kai Wang, Huazhu Fu
Bilateral Supervision Network for Semi-Supervised Medical Image Segmentation. IEEE Trans. Medical Imaging 43 (5) (2024)
Liang Wan, Zhihao Chen, Yefan Xiao, Junting Zhao, Wei Feng, Huazhu Fu
Iterative feedback-based models for image and video polyp segmentation. Comput. Biol. Medicine 177 (2024)
Geng Chen, Huazhu Fu, Tao Zhou, Guobao Xiao, Keren Fu, Yong Xia, Yanning Zhang
Fusion-Embedding Siamese Network for Light Field Salient Object Detection. IEEE Trans. Multim. 26 (2024)
Wenjun Lin, Yan Hu, Huazhu Fu, Mingming Yang, Chin-Boon Chng, Ryo Kawasaki, Cheekong Chui, Jiang Liu
Instrument-tissue Interaction Detection Framework for Surgical Video Understanding. CoRR (2024)
Kun Huang, Xiao Ma, Yuhan Zhang, Na Su, Songtao Yuan, Yong Liu, Qiang Chen, Huazhu Fu
Memory-efficient High-resolution OCT Volume Synthesis with Cascaded Amortized Latent Diffusion Models. CoRR (2024)
Ming Li, Huazhu Fu, Shengfeng He, Hehe Fan, Jun Liu, Jussi Keppo, Mike Zheng Shou
DR-FER: Discriminative and Robust Representation Learning for Facial Expression Recognition. IEEE Trans. Multim. 26 (2024)
Ke Zou, Tian Lin, Zongbo Han, Meng Wang, Xuedong Yuan, Haoyu Chen, Changqing Zhang, Xiaojing Shen, Huazhu Fu
Confidence-aware multi-modality learning for eye disease screening. CoRR (2024)
Junting Zhao, Yang Zhou, Zhihao Chen, Huazhu Fu, Liang Wan
Topicwise Separable Sentence Retrieval for Medical Report Generation. CoRR (2024)
Yan Wang, 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, Yong Liu, Daniel Shu Wei Ting
Geometric Correspondence-Based Multimodal Learning for Ophthalmic Image Analysis. IEEE Trans. Medical Imaging 43 (5) (2024)
Ziqin Lin, Heng Li, Zinan Li, Huazhu Fu, Jiang Liu
Is Dataset Quality Still a Concern in Diagnosis Using Large Foundation Model? CoRR (2024)
Jicheng Liu, Hui Liu, Huazhu Fu, Yu Ye, Kun Chen, Yu Lu, Jianbo Mao, Ronald X. Xu, Mingzhai Sun
Edge-Guided Contrastive Adaptation Network for Arteriovenous Nicking Classification Using Synthetic Data. IEEE Trans. Medical Imaging 43 (3) (2024)
Qing Li, Changqing Zhang, Qinghua Hu, Pengfei Zhu, Huazhu Fu, Lei Chen
Stabilizing Multispectral Pedestrian Detection With Evidential Hybrid Fusion. IEEE Trans. Circuits Syst. Video Technol. 34 (4) (2024)
Zongbo Han, Tao Luo, Huazhu Fu, Qinghua Hu, Joey Tianyi Zhou, Changqing Zhang
A principled framework for explainable multimodal disentanglement. Inf. Sci. 675 (2024)
Junhao Lin, Lei Zhu, Jiaxing Shen, Huazhu Fu, Qing Zhang, Liansheng Wang
ViDSOD-100: A New Dataset and a Baseline Model for RGB-D Video Salient Object Detection. CoRR (2024)
Heng Li, Ziqin Lin, Zhongxi Qiu, Zinan Li, Ke Niu, Na Guo, Huazhu Fu, Yan Hu, Jiang Liu
Enhancing and Adapting in the Clinic: Source-Free Unsupervised Domain Adaptation for Medical Image Enhancement. IEEE Trans. Medical Imaging 43 (4) (2024)
Meng Wang, Tian Lin, Aidi Lin, Kai Yu, Yuanyuan Peng, Lianyu Wang, Cheng Chen, Ke Zou, Huiyu Liang, Man Chen, Xue Yao, Meiqin Zhang, Binwei Huang, Chaoxin Zheng, Peixin Zhang, Wei Chen, Yilong Luo, Yifan Chen, Honghe Xia, Tingkun Shi, Qi Zhang, Jinming Guo, Xiaolin Chen, Jingcheng Wang, Yih Chung Tham, Dianbo Liu, Wendy Wong, Sahil Thakur, Beau Fenner, Danqi Fang, Siying Liu, Qingyun Liu, Yuqiang Huang, Hongqiang Zeng, Yanda Meng, Yukun Zhou, Zehua Jiang, Minghui Qiu, Changqing Zhang, Xinjian Chen, Sophia Y. Wang, Cecilia S. Lee, Lucia Sobrin, Carol Y. Cheung, Chi Pui Pang, Pearse A Keane, Ching-Yu Cheng, Haoyu Chen, Huazhu Fu
Common and Rare Fundus Diseases Identification Using Vision-Language Foundation Model with Knowledge of Over 400 Diseases. CoRR (2024)
Guohao Sun, Can Qin, Huazhu Fu, Linwei Wang, Zhiqiang Tao
STLLaVA-Med: Self-Training Large Language and Vision Assistant for Medical. CoRR (2024)
Qingyang Zhang, Yake Wei, Zongbo Han, Huazhu Fu, Xi Peng, Cheng Deng, Qinghua Hu, Cai Xu, Jie Wen, Di Hu, Changqing Zhang
Multimodal Fusion on Low-quality Data: A Comprehensive Survey. CoRR (2024)
Yinglin Zhang, Ruiling Xi, Wei Wang, Heng Li, Lingxi Hu, Huiyan Lin, Dave Towey, Ruibin Bai, Huazhu Fu, Risa Higashita, Jiang Liu
Low-Contrast Medical Image Segmentation via Transformer and Boundary Perception. IEEE Trans. Emerg. Top. Comput. Intell. 8 (3) (2024)
Qinkai Yu, Jianyang Xie, Anh Nguyen, He Zhao, Jiong Zhang, Huazhu Fu, Yitian Zhao, Yalin Zheng, Yanda Meng
CLIP-DR: Textual Knowledge-Guided Diabetic Retinopathy Grading with Ranking-aware Prompting. CoRR (2024)
Wenjun Lin, Yan Hu, Huazhu Fu, Mingming Yang, Chin-Boon Chng, Ryo Kawasaki, Chee-Kong Chui, Jiang Liu
Instrument-Tissue Interaction Detection Framework for Surgical Video Understanding. IEEE Trans. Medical Imaging 43 (8) (2024)
Yuntong Tian, Jiaxi Li, Huazhu Fu, Lei Zhu, Lequan Yu, Liang Wan
Self-Mining the Confident Prototypes for Source-Free Unsupervised Domain Adaptation in Image Segmentation. IEEE Trans. Multim. 26 (2024)
Hongye Zeng, Ke Zou, Zhihao Chen, Yuchong Gao, Hongbo Chen, Haibin Zhang, Kang Zhou, Meng Wang, Rick Siow Mong Goh, Yong Liu, Chang Jiang, Rui Zheng, Huazhu Fu
Training-free image style alignment for self-adapting domain shift on handheld ultrasound devices. CoRR (2024)
Kahou Tam, Kewei Xu, Li Li, Huazhu Fu
Towards Federated Domain Unlearning: Verification Methodologies and Challenges. CoRR (2024)
Bishwamittra Ghosh, Debabrota Basu, Huazhu Fu, Yuan Wang, Renuga Kanagavelu, Jiang Jin Peng, Yong Liu, Rick Siow Mong Goh, Qingsong Wei
Don't Forget What I did?: Assessing Client Contributions in Federated Learning. CoRR (2024)
Tanvi Verma, Lukas Schwemer, Mingrui Tan, Fei Gao, Yong Liu, Huazhu Fu
Confidence-Based Task Prediction in Continual Disease Classification Using Probability Distribution. CoRR (2024)
Yangqin Feng, Zizhou Wang, Xinxing Xu, Yan Wang, Huazhu Fu, Shaohua Li, Liangli Zhen, Xiaofeng Lei, Yingnan Cui, Jordan Zheng Ting Sim, Yonghan Ting, Joey Tianyi Zhou, Yong Liu, Rick Siow Mong Goh, Cher Heng Tan
Contrastive domain adaptation with consistency match for automated pneumonia diagnosis. Medical Image Anal. 83 (2023)
Haili Ye, Xiaoqing Zhang, Yan Hu, Huazhu Fu, Jiang Liu
VSR-Net: Vessel-like Structure Rehabilitation Network with Graph Clustering. CoRR (2023)
Bo Peng, Mingliang Zhang, Jianjun Lei, Huazhu Fu, Haifeng Shen, Qingming Huang
RGB-D Human Matting: A Real-World Benchmark Dataset and a Baseline Method. IEEE Trans. Circuits Syst. Video Technol. 33 (8) (2023)
Jiangbo Shi, Lufei Tang, Zeyu Gao, Yang Li, Chunbao Wang, Tieliang Gong, Chen Li, Huazhu Fu
MG-Trans: Multi-Scale Graph Transformer With Information Bottleneck for Whole Slide Image Classification. IEEE Trans. Medical Imaging 42 (12) (2023)
Tao Chen, Yitian Zhao, Lei Mou, Dan Zhang, Xiayu Xu, Mengting Liu, Huazhu Fu, Jiong Zhang
RBGNet: Reliable Boundary-Guided Segmentation of Choroidal Neovascularization. MICCAI (4) (2023)
Ke Zou, Tian Lin, Xuedong Yuan, Haoyu Chen, Xiaojing Shen, Meng Wang, Huazhu Fu
Reliable Multimodality Eye Disease Screening via Mixture of Student's t Distributions. CoRR (2023)
Huan Ma, Changqing Zhang, Yatao Bian, Lemao Liu, Zhirui Zhang, Peilin Zhao, Shu Zhang, Huazhu Fu, Qinghua Hu, Bingzhe Wu
Fairness-guided Few-shot Prompting for Large Language Models. CoRR (2023)
Qingyang Zhang, Haitao Wu, Changqing Zhang, Qinghua Hu, Huazhu Fu, Joey Tianyi Zhou, Xi Peng
Provable Dynamic Fusion for Low-Quality Multimodal Data. ICML (2023)
Jiawei Wu, Changqing Zhang, Zuoyong Li, Huazhu Fu, Xi Peng, Joey Tianyi Zhou
dugMatting: Decomposed-Uncertainty-Guided Matting. CoRR (2023)
Sanqian Li, Risa Higashita, Huazhu Fu, Heng Li, Jingxuan Niu, Jiang Liu
Content-Preserving Diffusion Model for Unsupervised AS-OCT Image Despeckling. MICCAI (7) (2023)
Siqi Li, Di Miao, Qiming Wu, Chuan Hong, Danny D'Agostino, Xin Li, Yilin Ning, Yuqing Shang, Huazhu Fu, Marcus Eng Hock Ong, Hamed Haddadi, Nan Liu
Federated Learning for Clinical Structured Data: A Benchmark Comparison of Engineering and Statistical Approaches. CoRR (2023)
Yiming Qian, Liangzhi Li, Huazhu Fu, Meng Wang, Qingsheng Peng, Yih Chung Tham, Ching Yu Cheng, Yong Liu, Rick Siow Mong Goh, Xinxing Xu
Category-Independent Visual Explanation for Medical Deep Network Understanding. MICCAI (2) (2023)
Guoyao Deng, Ke Zou, Kai Ren, Meng Wang, Xuedong Yuan, Sancong Ying, Huazhu Fu
SAM-U: Multi-box Prompts Triggered Uncertainty Estimation for Reliable SAM in Medical Image. MTSAIL/LEAF/AI4Treat/MMMI/REMIA@MICCAI (2023)
Huan Ma, Qingyang Zhang, Changqing Zhang, Bingzhe Wu, Huazhu Fu, Joey Tianyi Zhou, Qinghua Hu
Calibrating Multimodal Learning. ICML (2023)
Shouyue Liu, Jinkui Hao, Yanwu Xu, Huazhu Fu, Xinyu Guo, Jiang Liu, Yalin Zheng, Yonghuai Liu, Jiong Zhang, Yitian Zhao
Polar-Net: A Clinical-Friendly Model for Alzheimer's Disease Detection in OCTA Images. MICCAI (7) (2023)
Along He, Kai Wang, Tao Li, Chengkun Du, Shuang Xia, Huazhu Fu
H2Former: An Efficient Hierarchical Hybrid Transformer for Medical Image Segmentation. IEEE Trans. Medical Imaging 42 (9) (2023)
Yinglin Zhang, Ruiling Xi, Huazhu Fu, Dave Towey, Ruibin Bai, Risa Higashita, Jiang Liu
Elongated Physiological Structure Segmentation via Spatial and Scale Uncertainty-Aware Network. MICCAI (4) (2023)
Guoyao Deng, Ke Zou, Kai Ren, Meng Wang, Xuedong Yuan, Sancong Ying, Huazhu Fu
SAM-U: Multi-box prompts triggered uncertainty estimation for reliable SAM in medical image. CoRR (2023)
Qingyang Zhang, Haitao Wu, Changqing Zhang, Qinghua Hu, Huazhu Fu, Joey Tianyi Zhou, Xi Peng
Provable Dynamic Fusion for Low-Quality Multimodal Data. CoRR (2023)
Zhiqiang Tao, Jun Li, Huazhu Fu, Yu Kong, Yun Fu
From Ensemble Clustering to Subspace Clustering: Cluster Structure Encoding. IEEE Trans. Neural Networks Learn. Syst. 34 (5) (2023)
Junde Wu, Huihui Fang, Fei Li, Huazhu Fu, Fengbin Lin, Jiongcheng Li, Yue Huang, Qinji Yu, Sifan Song, Xinxing Xu, Yanyu Xu, Wensai Wang, Lingxiao Wang, Shuai Lu, Huiqi Li, Shihua Huang, Zhichao Lu, Chubin Ou, Xifei Wei, Bingyuan Liu, Riadh Kobbi, Xiaoying Tang, Li Lin, Qiang Zhou, Qiang Hu, Hrvoje Bogunovic, José Ignacio Orlando, Xiulan Zhang, Yanwu Xu
GAMMA challenge: Glaucoma grAding from Multi-Modality imAges. Medical Image Anal. 90 (2023)
Huihui Fang, Fei Li, Hanyi Yu, Dongyang Zhao, Xiang Li, Zhuoling Li, Huazhu Fu, Xiulan Zhang, Yanwu Xu
STAGE Challenge: Structural-Functional Transition in Glaucoma Assessment Challenge in MICCAI 2023. OMIA@MICCAI (2023)
Junhao Lin, Qian Dai, Lei Zhu, Huazhu Fu, Qiong Wang, Weibin Li, Wenhao Rao, Xiaoyang Huang, Liansheng Wang
Shifting More Attention to Breast Lesion Segmentation in Ultrasound Videos. CoRR (2023)
Huazhu Fu, Yitian Zhao, Pew-Thian Yap, Carola-Bibiane Schönlieb, Alejandro F. Frangi
Guest Editorial Special Issue on Geometric Deep Learning in Medical Imaging. IEEE Trans. Medical Imaging 42 (2) (2023)
Huan Ma, Changqing Zhang, Huazhu Fu, Peilin Zhao, Bingzhe Wu
Adapting Large Language Models for Content Moderation: Pitfalls in Data Engineering and Supervised Fine-tuning. CoRR (2023)
Luoying Hao, Yan Hu, Wenjun Lin, Qun Wang, Heng Li, Huazhu Fu, Jinming Duan, Jiang Liu
ACT-Net: Anchor-Context Action Detection in Surgery Videos. MICCAI (9) (2023)
Yanyu Xu, Menghan Zhou, Yangqin Feng, Xinxing Xu, Huazhu Fu, Rick Siow Mong Goh, Yong Liu
Minimal-Supervised Medical Image Segmentation via Vector Quantization Memory. MICCAI (3) (2023)
Jiaxin Mei, Tao Zhou, Kaiwen Huang, Yizhe Zhang, Yi Zhou, Ye Wu, Huazhu Fu
A Survey on Deep Learning for Polyp Segmentation: Techniques, Challenges and Future Trends. CoRR (2023)
Along He, Kai Wang, Zhihong Wang, Tao Li, Huazhu Fu
DVPT: Dynamic Visual Prompt Tuning of Large Pre-trained Models for Medical Image Analysis. CoRR (2023)
Heng Li, Haojin Li, Wei Zhao, Huazhu Fu, Xiuyun Su, Yan Hu, Jiang Liu
Frequency-mixed Single-source Domain Generalization for Medical Image Segmentation. CoRR (2023)
Meng Wang, Lianyu Wang, Xinxing Xu, Ke Zou, Yiming Qian, Rick Siow Mong Goh, Yong Liu, Huazhu Fu
Federated Uncertainty-Aware Aggregation for Fundus Diabetic Retinopathy Staging. CoRR (2023)
Heng Li, Ziqin Lin, Zhongxi Qiu, Zinan Li, Huazhu Fu, Yan Hu, Jiang Liu
Enhancing and Adapting in the Clinic: Source-free Unsupervised Domain Adaptation for Medical Image Enhancement. CoRR (2023)
Tao Zhou, Huazhu Fu, Chen Gong, Ling Shao, Fatih Porikli, Haibin Ling, Jianbing Shen
Consistency and Diversity Induced Human Motion Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 45 (1) (2023)
Yuheng Fan, Hanxi Liao, Shiqi Huang, Yimin Luo, Huazhu Fu, Haikun Qi
A Survey of Emerging Applications of Diffusion Probabilistic Models in MRI. CoRR (2023)
Zhihao Chen, Yang Zhou, Anh Tran, Junting Zhao, Liang Wan, Gideon Ooi, Lionel Cheng, Choon Hua Thng, Xinxing Xu, Yong Liu, Huazhu Fu
Medical Phrase Grounding with Region-Phrase Context Contrastive Alignment. CoRR (2023)
Bangzheng Pu, Xingxing Wei, Shiji Zhao, Huazhu Fu
MedLocker: A Transferable Adversarial Watermarking for Preventing Unauthorized Analysis of Medical Image Dataset. CoRR (2023)
Huihui Fang, Fei Li, Junde Wu, Huazhu Fu, Xu Sun, José Ignacio Orlando, Hrvoje Bogunovic, Xiulan Zhang, Yanwu Xu
PALM: Open Fundus Photograph Dataset with Pathologic Myopia Recognition and Anatomical Structure Annotation. CoRR (2023)
Lianyu Wang, Meng Wang, Daoqiang Zhang, Huazhu Fu
Model Barrier: A Compact Un-Transferable Isolation Domain for Model Intellectual Property Protection. CoRR (2023)
Jixiang Gao, Jingjing Chen, Huazhu Fu, Yu-Gang Jiang
Dynamic Mixup for Multi-Label Long-Tailed Food Ingredient Recognition. IEEE Trans. Multim. 25 (2023)
Yiming Zhao, Tao Zhou, Yunqi Gu, Yi Zhou, Yizhe Zhang, Ye Wu, Huazhu Fu
Segment Anything Model-guided Collaborative Learning Network for Scribble-supervised Polyp Segmentation. CoRR (2023)
Junhao Lin, Qian Dai, Lei Zhu, Huazhu Fu, Qiong Wang, Weibin Li, Wenhao Rao, Xiaoyang Huang, Liansheng Wang
Shifting More Attention to Breast Lesion Segmentation in Ultrasound Videos. MICCAI (3) (2023)
Yijun Yang, Huazhu Fu, Angelica I. Avilés-Rivero, Carola-Bibiane Schönlieb, Lei Zhu
DiffMIC: Dual-Guidance Diffusion Network for Medical Image Classification. CoRR (2023)
Marawan Elbatel, Hualiang Wang, Robert Martí, Huazhu Fu, Xiaomeng Li
Federated Model Aggregation via Self-Supervised Priors for Highly Imbalanced Medical Image Classification. CoRR (2023)
Meng Wang, Tian Lin, Lianyu Wang, Aidi Lin, Ke Zou, Xinxing Xu, Yi Zhou, Yuanyuan Peng, Qingquan Meng, Yiming Qian, Guoyao Deng, Zhiqun Wu, Junhong Chen, Jianhong Lin, Mingzhi Zhang, Weifang Zhu, Changqing Zhang, Xinjian Chen, Daoqiang Zhang, Rick Siow Mong Goh, Yong Liu, Chi Pui Pang, Haoyu Chen, Huazhu Fu
Uncertainty-inspired Open Set Learning for Retinal Anomaly Identification. CoRR (2023)
Heng Li, Haofeng Liu, Huazhu Fu, Yanwu Xu, Hui Shu, Ke Niu, Yan Hu, Jiang Liu
A Generic Fundus Image Enhancement Network Boosted by Frequency Self-supervised Representation Learning. CoRR (2023)
Zhihao Chen, Yang Zhou, Anh Tran, Junting Zhao, Liang Wan, Gideon Ooi, Lionel Tim-Ee Cheng, Choon Hua Thng, Xinxing Xu, Yong Liu, Huazhu Fu
Medical Phrase Grounding with Region-Phrase Context Contrastive Alignment. MICCAI (7) (2023)
Zhihao Chen, Liang Wan, Yefan Xiao, Lei Zhu, Huazhu Fu
Learning Physical-Spatio-Temporal Features for Video Shadow Removal. CoRR (2023)
Chao Qin, Jiale Cao, Huazhu Fu, Rao Muhammad Anwer, Fahad Shahbaz Khan
A Spatial-Temporal Deformable Attention Based Framework for Breast Lesion Detection in Videos. MICCAI (2) (2023)
Chun-Mei Feng, Bangjun Li, Xinxing Xu, Yong Liu, Huazhu Fu, Wangmeng Zuo
Learning Federated Visual Prompt in Null Space for MRI Reconstruction. CoRR (2023)
Heng Li, Haofeng Liu, Huazhu Fu, Yanwu Xu, Hai Shu, Ke Niu, Yan Hu, Jiang Liu
A generic fundus image enhancement network boosted by frequency self-supervised representation learning. Medical Image Anal. 90 (2023)
Marawan Elbatel, Hualiang Wang, Robert Martí, Huazhu Fu, Xiaomeng Li
Federated Model Aggregation via Self-supervised Priors for Highly Imbalanced Medical Image Classification. ISIC/Care-AI/MedAGI/DeCaF@MICCAI (2023)
Qing Li, Changqing Zhang, Qinghua Hu, Huazhu Fu, Pengfei Zhu
Confidence-Aware Fusion Using Dempster-Shafer Theory for Multispectral Pedestrian Detection. IEEE Trans. Multim. 25 (2023)
Yijun Yang, Huazhu Fu, Angelica I. Avilés-Rivero, Carola-Bibiane Schönlieb, Lei Zhu
DiffMIC: Dual-Guidance Diffusion Network for Medical Image Classification. MICCAI (6) (2023)
Meng Wang, Lianyu Wang, Xinxing Xu, Ke Zou, Yiming Qian, Rick Siow Mong Goh, Yong Liu, Huazhu Fu
Federated Uncertainty-Aware Aggregation for Fundus Diabetic Retinopathy Staging. MICCAI (2) (2023)
Kai Ren, Ke Zou, Xianjie Liu, Yidi Chen, Xuedong Yuan, Xiaojing Shen, Meng Wang, Huazhu Fu
Uncertainty-Informed Mutual Learning for Joint Medical Image Classification and Segmentation. MICCAI (4) (2023)
Tao Zhou, Deng-Ping Fan, Geng Chen, Yi Zhou, Huazhu Fu
Specificity-preserving RGB-D saliency detection. Comput. Vis. Media 9 (2) (2023)
Junting Zhao, Zhaohu Xing, Zhihao Chen, Liang Wan, Tong Han, Huazhu Fu, Lei Zhu
Uncertainty-Aware Multi-Dimensional Mutual Learning for Brain and Brain Tumor Segmentation. IEEE J. Biomed. Health Informatics 27 (9) (2023)
Ke Zou, Zhihao Chen, Xuedong Yuan, Xiaojing Shen, Meng Wang, Huazhu Fu
A Review of Uncertainty Estimation and its Application in Medical Imaging. CoRR (2023)
Chun-Mei Feng, Bangjun Li, Xinxing Xu, Yong Liu, Huazhu Fu, Wangmeng Zuo
Learning Federated Visual Prompt in Null Space for MRI Reconstruction. CVPR (2023)
Yunqi Gu, Tao Zhou, Yizhe Zhang, Yi Zhou, Kelei He, Chen Gong, Huazhu Fu
Dual-scale Enhanced and Cross-generative Consistency Learning for Semi-supervised Polyp Segmentation. CoRR (2023)
Chun-Mei Feng, Yunlu Yan, Geng Chen, Yong Xu, Ying Hu, Ling Shao, Huazhu Fu
Multimodal Transformer for Accelerated MR Imaging. IEEE Trans. Medical Imaging 42 (10) (2023)
Chao Qin, Jiale Cao, Huazhu Fu, Rao Muhammad Anwer, Fahad Shahbaz Khan
A Spatial-Temporal Deformable Attention based Framework for Breast Lesion Detection in Videos. CoRR (2023)
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, Junyi Guo, Sahil S. Nalawade, Jacob Rosenthal, David Kanter, Maria Xenochristou, Daniel J. Beutel, Verena Chung, Timothy Bergquist, James Eddy, Abubakar Abid, Lewis Tunstall, Omar Sanseviero, Dimitrios Dimitriadis, Yiming Qian, Xinxing Xu, Yong Liu, Rick Siow Mong Goh, Srini Bala, Victor Bittorf, Sreekar Reddy Puchala, Biagio Ricciuti, Soujanya Samineni, Eshna Sengupta, Akshay Chaudhari, Cody Coleman, Bala Desinghu, Gregory Diamos, Debo Dutta, Diane Feddema, Grigori Fursin, Xinyuan Huang, Satyananda Kashyap, Nicholas Lane, Indranil Mallick, Pietro Mascagni, Virendra Mehta, Cassiano Ferro Moraes, Vivek Natarajan, Nikola Nikolov, Nicolas Padoy, Gennady Pekhimenko, Vijay Janapa Reddi, G. Anthony Reina, Pablo Ribalta, Abhishek Singh, Jayaraman J. Thiagarajan, Jacob Albrecht, Thomas Wolf, Geralyn Miller, Huazhu Fu, Prashant Shah, Daguang Xu, Poonam Yadav, David Talby, Mark M. Awad, Jeremy P. Howard, Michael Rosenthal, Luigi Marchionni, Massimo Loda, Jason M. Johnson, Spyridon Bakas, Peter Mattson
Federated benchmarking of medical artificial intelligence with MedPerf. Nat. Mac. Intell. 5 (7) (2023)

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Publication Activity (10 Years)

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Huazhu Fu