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2020 – today
- 2025
[j123]Burak Kucukgoz, Ke Zou, Declan C. Murphy, David H. Steel, Boguslaw Obara, Huazhu Fu:
Uncertainty-aware regression model to predict post-operative visual acuity in patients with macular holes. Comput. Medical Imaging Graph. 119: 102461 (2025)- [j122]Afsana Ahmed Munia, Moloud Abdar
, Mehedi Hasan, Mohammad S. Jalali, Biplab Banerjee, Abbas Khosravi, Ibrahim Hossain, Huazhu Fu, Alejandro F. Frangi:
Attention-guided hierarchical fusion U-Net for uncertainty-driven medical image segmentation. Inf. Fusion 115: 102719 (2025) - [j121]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 medical image segmentation. Pattern Recognit. 158: 110962 (2025) - [e8]Bhavna Josephine Antony, Hao Chen, Huihui Fang, Huazhu Fu, Cecilia S. Lee:
Ophthalmic Medical Image Analysis - 11th International Workshop, OMIA 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 10, 2024, Proceedings. Lecture Notes in Computer Science 15188, Springer 2025, ISBN 978-3-031-73118-1 [contents] - 2024
- [j120]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: 108569 (2024) - [j119]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. Int. J. Comput. Vis. 132(11): 5173-5191 (2024) - [j118]Zongbo Han, Tao Luo, Huazhu Fu, Qinghua Hu, Joey Tianyi Zhou, Changqing Zhang:
A principled framework for explainable multimodal disentanglement. Inf. Sci. 675: 120768 (2024) - [j117]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: 103214 (2024) - [j116]Jiangbo Shi, Chen Li, Tieliang Gong, Huazhu Fu:
E2-MIL: An explainable and evidential multiple instance learning framework for whole slide image classification. Medical Image Anal. 97: 103294 (2024) - [j115]Jinkui Hao, William Robert Kwapong, Ting Shen, Huazhu Fu, Yanwu Xu, Qinkang Lu, Shouyue Liu, Jiong Zhang, Yonghuai Liu, Yifan Zhao, Yalin Zheng, Alejandro F. Frangi, Shuting Zhang, Hong Qi, Yitian Zhao:
Early detection of dementia through retinal imaging and trustworthy AI. npj Digit. Medicine 7(1) (2024) - [j114]Tianyang Zhang, Shaoming Zheng, Jun Cheng, Xi Jia, Joseph Bartlett, Xinxing Cheng, Zhaowen Qiu, Huazhu Fu, Jiang Liu, Ales Leonardis, Jinming Duan:
Structure and Intensity Unbiased Translation for 2D Medical Image Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 10060-10075 (2024) - [j113]Lianyu Wang, Meng Wang, Huazhu Fu, Daoqiang Zhang:
Say No to Freeloader: Protecting Intellectual Property of Your Deep Model. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 11073-11086 (2024) - [j112]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): 3017-3029 (2024) - [j111]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): 2297-2309 (2024) - [j110]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): 1237-1246 (2024) - [j109]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): 1323-1336 (2024) - [j108]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): 1715-1726 (2024) - [j107]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): 1945-1957 (2024) - [j106]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): 2803-2813 (2024) - [j105]Kun Huang, Xiao Ma, Zetian Zhang, Yuhan Zhang, Songtao Yuan, Huazhu Fu, Qiang Chen:
Diverse Data Generation for Retinal Layer Segmentation With Potential Structure Modeling. IEEE Trans. Medical Imaging 43(10): 3584-3595 (2024) - [j104]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: 984-994 (2024) - [j103]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: 6297-6309 (2024) - [j102]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: 7709-7720 (2024) - [j101]Changqing Zhang, Yu Geng, Zongbo Han, Yeqing Liu, Huazhu Fu, Qinghua Hu:
Autoencoder in Autoencoder Networks. IEEE Trans. Neural Networks Learn. Syst. 35(2): 2263-2275 (2024) - [j100]Chun-Mei Feng, Yunlu Yan, Kai Yu, Yong Xu, Huazhu Fu, Jian Yang, Ling Shao:
Exploring Separable Attention for Multi-Contrast MR Image Super-Resolution. IEEE Trans. Neural Networks Learn. Syst. 35(9): 12251-12262 (2024) - [c133]Junde Wu, Wei Ji, Huazhu Fu, Min Xu, Yueming Jin, Yanwu Xu:
MedSegDiff-V2: Diffusion-Based Medical Image Segmentation with Transformer. AAAI 2024: 6030-6038 - [c132]Jiangbo Shi, Chen Li, Tieliang Gong, Yefeng Zheng, Huazhu Fu:
ViLa-MIL: Dual-scale Vision-Language Multiple Instance Learning for Whole Slide Image Classification. CVPR 2024: 11248-11258 - [c131]Yuan Wang, Huazhu Fu, Renuga Kanagavelu, Qingsong Wei, Yong Liu, Rick Siow Mong Goh:
An Aggregation-Free Federated Learning for Tackling Data Heterogeneity. CVPR 2024: 26223-26232 - [c130]Guohao Sun, Can Qin, Huazhu Fu, Linwei Wang, Zhiqiang Tao:
Self-Training Large Language and Vision Assistant for Medical Question Answering. EMNLP 2024: 20052-20060 - [c129]Huiyan Lin, Heng Li, Haojin Li, Xiangyang Yu, Kuai Yu, Chenhao Liang, Huazhu Fu, Jiang Liu:
Data Heterogeneity-Aware Personalized Federated Learning for Diagnosis. OMIA@MICCAI 2024: 53-62 - [c128]Meng Wang, Tian Lin, Ting Xu, Ke Zou, Haoyu Chen, Huazhu Fu, Ching-Yu Cheng:
Enhancing Large Foundation Models to Identify Fundus Diseases Based on Contrastive Enhanced Low-Rank Adaptation Prompt. OMIA@MICCAI 2024: 157-166 - [c127]Menghan Zhou, Yanyu Xu, Zhi Da Soh, Huazhu Fu, Rick Siow Mong Goh, Ching-Yu Cheng, Yong Liu, Liangli Zhen:
MedMLP: An Efficient MLP-Like Network for Zero-Shot Retinal Image Classification. MICCAI (3) 2024: 262-272 - [c126]Along He, Tao Li, Yanlin Wu, Ke Zou, Huazhu Fu:
FRCNet: Frequency and Region Consistency for Semi-supervised Medical Image Segmentation. MICCAI (8) 2024: 305-315 - [c125]Yanyu Xu, Yingzhi Xia, Huazhu Fu, Rick Siow Mong Goh, Yong Liu, Xinxing Xu:
Multi-Scale Region-Aware Implicit Neural Network for Medical Images Matting. MICCAI (9) 2024: 467-477 - [c124]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. MICCAI (7) 2024: 478-487 - [c123]Along He, Tao Li, Yitian Zhao, Junyong Zhao, Huazhu Fu:
Open-Set Semi-supervised Medical Image Classification with Learnable Prototypes and Outlier Filter. MICCAI (11) 2024: 492-501 - [c122]Chao Qin, Jiale Cao, Huazhu Fu, Fahad Shahbaz Khan, Rao Muhammad Anwer:
DB-SAM: Delving into High Quality Universal Medical Image Segmentation. MICCAI (12) 2024: 498-508 - [c121]Hongye Zeng, Ke Zou, Zhihao Chen, Rui Zheng, Huazhu Fu:
Reliable Source Approximation: Source-Free Unsupervised Domain Adaptation for Vestibular Schwannoma MRI Segmentation. MICCAI (10) 2024: 622-632 - [c120]Renuga Kanagavelu, Madhav Walia, Yuan Wang, Huazhu Fu, Qingsong Wei, Yong Liu, Rick Siow Mong Goh:
MedSynth: Leveraging Generative Model for Healthcare Data Sharing. MICCAI (12) 2024: 654-664 - [c119]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. MICCAI (1) 2024: 667-677 - [c118]Ruiqi Wu, Chenran Zhang, Jianle Zhang, Yi Zhou, Tao Zhou, Huazhu Fu:
MM-Retinal: Knowledge-Enhanced Foundational Pretraining with Fundus Image-Text Expertise. MICCAI (1) 2024: 722-732 - [c117]Yuanyuan Li, Huaying Hao, Dan Zhang, Huazhu Fu, Mengting Liu, Caifeng Shan, Yitian Zhao, Jiong Zhang:
MPMNet: Modal Prior Mutual-Support Network for Age-Related Macular Degeneration Classification. MICCAI (1) 2024: 733-742 - [c116]Lei Zhu, Yanyu Xu, Huazhu Fu, Xinxing Xu, Rick Siow Mong Goh, Yong Liu:
Partially Supervised Unpaired Multi-modal Learning for Label-Efficient Medical Image Segmentation. MLMI@MICCAI (2) 2024: 85-94 - [c115]Yan Zhu, Huan Ma, Changqing Zhang, Bingzhe Wu, Huazhu Fu, Joey Tianyi Zhou, Qinghua Hu:
Rethinking the Reliability of Post-hoc Calibration Methods Under Subpopulation Shift. PRICAI (2) 2024: 16-28 - [i157]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 abs/2402.11211 (2024) - [i156]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 abs/2403.07151 (2024) - [i155]Young Seok Jeon, Hongfei Yang, Huazhu Fu, Mengling Feng:
AIC-UNet: Anatomy-informed Cascaded UNet for Robust Multi-Organ Segmentation. CoRR abs/2403.18878 (2024) - [i154]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 abs/2404.00322 (2024) - [i153]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 abs/2404.06798 (2024) - [i152]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 abs/2404.18947 (2024) - [i151]Yuan Wang, Huazhu Fu, Renuga Kanagavelu, Qingsong Wei, Yong Liu, Rick Siow Mong Goh:
An Aggregation-Free Federated Learning for Tackling Data Heterogeneity. CoRR abs/2404.18962 (2024) - [i150]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 abs/2405.01228 (2024) - [i149]Junting Zhao, Yang Zhou, Zhihao Chen, Huazhu Fu, Liang Wan:
Topicwise Separable Sentence Retrieval for Medical Report Generation. CoRR abs/2405.04175 (2024) - [i148]Ruiqi Wu, Chenran Zhang, Jianle Zhang, Yi Zhou, Tao Zhou, Huazhu Fu:
MM-Retinal: Knowledge-Enhanced Foundational Pretraining with Fundus Image-Text Expertise. CoRR abs/2405.11793 (2024) - [i147]Ziqin Lin, Heng Li, Zinan Li, Huazhu Fu, Jiang Liu:
Is Dataset Quality Still a Concern in Diagnosis Using Large Foundation Model? CoRR abs/2405.12584 (2024) - [i146]Hongye Zeng, Ke Zou, Zhihao Chen, Rui Zheng, Huazhu Fu:
Reliable Source Approximation: Source-Free Unsupervised Domain Adaptation for Vestibular Schwannoma MRI Segmentation. CoRR abs/2405.16102 (2024) - [i145]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 abs/2405.16516 (2024) - [i144]Along He, Tao Li, Yanlin Wu, Ke Zou, Huazhu Fu:
FRCNet Frequency and Region Consistency for Semi-supervised Medical Image Segmentation. CoRR abs/2405.16573 (2024) - [i143]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 abs/2405.18167 (2024) - [i142]Tanvi Verma, Lukas Schwemer, Mingrui Tan, Fei Gao, Yong Liu, Huazhu Fu:
Confidence-Based Task Prediction in Continual Disease Classification Using Probability Distribution. CoRR abs/2406.01054 (2024) - [i141]Kahou Tam, Kewei Xu, Li Li, Huazhu Fu:
Towards Federated Domain Unlearning: Verification Methodologies and Challenges. CoRR abs/2406.03078 (2024) - [i140]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 abs/2406.09317 (2024) - [i139]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 abs/2406.12536 (2024) - [i138]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 abs/2406.16942 (2024) - [i137]Guohao Sun, Can Qin, Huazhu Fu, Linwei Wang, Zhiqiang Tao:
STLLaVA-Med: Self-Training Large Language and Vision Assistant for Medical. CoRR abs/2406.19973 (2024) - [i136]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 abs/2407.04068 (2024) - [i135]Shouyue Liu, Jinkui Hao, Yonghuai Liu, Huazhu Fu, Xinyu Guo, Shuting Zhang, Yitian Zhao:
Beyond the Eye: A Relational Model for Early Dementia Detection Using Retinal OCTA Images. CoRR abs/2408.05117 (2024) - [i134]Lianyu Wang, Meng Wang, Huazhu Fu, Daoqiang Zhang:
Say No to Freeloader: Protecting Intellectual Property of Your Deep Model. CoRR abs/2408.13161 (2024) - [i133]Nan Zhou, Ke Zou, Kai Ren, Mengting Luo, Linchao He, Meng Wang, Yidi Chen, Yi Zhang, Hu Chen, Huazhu Fu:
MedSAM-U: Uncertainty-Guided Auto Multi-Prompt Adaptation for Reliable MedSAM. CoRR abs/2409.00924 (2024) - [i132]Hongqiu Wang, Yixian Chen, Wu Chen, Huihui Xu, Haoyu Zhao, Bin Sheng, Huazhu Fu, Guang Yang, Lei Zhu:
Serp-Mamba: Advancing High-Resolution Retinal Vessel Segmentation with Selective State-Space Model. CoRR abs/2409.04356 (2024) - [i131]Chao Qin, Jiale Cao, Huazhu Fu, Fahad Shahbaz Khan, Rao Muhammad Anwer:
DB-SAM: Delving into High Quality Universal Medical Image Segmentation. CoRR abs/2410.04172 (2024) - 2023
- [j99]Tao Zhou, Deng-Ping Fan, Geng Chen, Yi Zhou, Huazhu Fu:
Specificity-preserving RGB-D saliency detection. Comput. Vis. Media 9(2): 297-317 (2023) - [j98]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: 102664 (2023) - [j97]Fahad Shamshad, Salman H. Khan, Syed Waqas Zamir, Muhammad Haris Khan, Munawar Hayat, Fahad Shahbaz Khan, Huazhu Fu:
Transformers in medical imaging: A survey. Medical Image Anal. 88: 102802 (2023) - [j96]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: 102938 (2023) - [j95]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: 102945 (2023) - [j94]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 A. 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 F. Diamos, Debo Dutta, Diane Feddema, Grigori Fursin, Xinyuan Huang, Satyananda Kashyap, Nicholas D. 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): 799-810 (2023) - [j93]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): 197-210 (2023) - [j92]Zongbo Han, Changqing Zhang, Huazhu Fu, Joey Tianyi Zhou:
Trusted Multi-View Classification With Dynamic Evidential Fusion. IEEE Trans. Pattern Anal. Mach. Intell. 45(2): 2551-2566 (2023) - [j91]Peng Zheng, Huazhu Fu, Deng-Ping Fan, Qi Fan, Jie Qin, Yu-Wing Tai, Chi-Keung Tang, Luc Van Gool:
GCoNet+: A Stronger Group Collaborative Co-Salient Object Detector. IEEE Trans. Pattern Anal. Mach. Intell. 45(9): 10929-10946 (2023) - [j90]Tao Zhou, Yi Zhou, Kelei He, Chen Gong, Jian Yang, Huazhu Fu, Dinggang Shen:
Cross-level Feature Aggregation Network for Polyp Segmentation. Pattern Recognit. 140: 109555 (2023) - [j89]Jingjing Chen, Linhai Zhuo, Zhipeng Wei, Hao Zhang, Huazhu Fu, Yu-Gang Jiang:
Knowledge driven weights estimation for large-scale few-shot image recognition. Pattern Recognit. 142: 109668 (2023) - [j88]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): 4041-4053 (2023) - [j87]Runmin Cong, Ning Yang, Chongyi Li, Huazhu Fu, Yao Zhao, Qingming Huang, Sam Kwong:
Global-and-Local Collaborative Learning for Co-Salient Object Detection. IEEE Trans. Cybern. 53(3): 1920-1931 (2023) - [j86]Liansheng Wang, Jiacheng Wang, Lei Zhu, Huazhu Fu, Ping Li, Gary Cheng, Zhipeng Feng, Shuo Li, Pheng-Ann Heng:
Dual Multiscale Mean Teacher Network for Semi-Supervised Infection Segmentation in Chest CT Volume for COVID-19. IEEE Trans. Cybern. 53(10): 6363-6375 (2023) - [j85]Tao Lei, Rui Sun, Xiaogang Du, Huazhu Fu, Changqing Zhang, Asoke K. Nandi:
SGU-Net: Shape-Guided Ultralight Network for Abdominal Image Segmentation. IEEE J. Biomed. Health Informatics 27(3): 1431-1442 (2023) - [j84]Hengyi Yang, Tao Zhou, Yi Zhou, Yizhe Zhang, Huazhu Fu:
Flexible Fusion Network for Multi-Modal Brain Tumor Segmentation. IEEE J. Biomed. Health Informatics 27(7): 3349-3359 (2023) - [j83]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): 4362-4372 (2023) - [j82]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): 332-335 (2023) - [j81]Chun-Mei Feng, Yunlu Yan, Shanshan Wang, Yong Xu, Ling Shao, Huazhu Fu:
Specificity-Preserving Federated Learning for MR Image Reconstruction. IEEE Trans. Medical Imaging 42(7): 2010-2021 (2023) - [j80]Erjian Guo, Huazhu Fu, Luping Zhou, Dong Xu:
Bridging Synthetic and Real Images: A Transferable and Multiple Consistency Aided Fundus Image Enhancement Framework. IEEE Trans. Medical Imaging 42(8): 2189-2199 (2023) - [j79]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): 2763-2775 (2023) - [j78]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): 2804-2816 (2023) - [j77]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): 3871-3883 (2023) - [j76]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: 3420-3431 (2023) - [j75]Jixiang Gao, Jingjing Chen, Huazhu Fu, Yu-Gang Jiang:
Dynamic Mixup for Multi-Label Long-Tailed Food Ingredient Recognition. IEEE Trans. Multim. 25: 4764-4773 (2023) - [j74]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): 2670-2681 (2023) - [c114]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: 8064-8073 - [c113]Lianyu Wang, Meng Wang, Daoqiang Zhang, Huazhu Fu:
Model Barrier: A Compact Un-Transferable Isolation Domain for Model Intellectual Property Protection. CVPR 2023: 20475-20484 - [c112]Yijun Yang, Angelica I. Avilés-Rivero, Huazhu Fu, Ye Liu, Weiming Wang, Lei Zhu:
Video Adverse-Weather-Component Suppression Network via Weather Messenger and Adversarial Backpropagation. ICCV 2023: 13154-13164 - [c111]Huan Ma, Qingyang Zhang, Changqing Zhang, Bingzhe Wu, Huazhu Fu, Joey Tianyi Zhou, Qinghua Hu:
Calibrating Multimodal Learning. ICML 2023: 23429-23450 - [c110]Jiawei Wu, Changqing Zhang, Zuoyong Li, Huazhu Fu, Xi Peng, Joey Tianyi Zhou:
dugMatting: Decomposed-Uncertainty-Guided Matting. ICML 2023: 37846-37859 - [c109]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: 41753-41769 - [c108]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: 35-45 - [c107]