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Selected Publications:
Full list could be found in:
[Google Scholar]
Preprint & to appear:
- H. Fang, F. Li, H. Fu, X. Sun, ..., X. Zhang, and Y. Xu,
"REFUGE2 Challenge: Treasure for Multi-Domain Learning in Glaucoma Assessment",
arXiv, arXiv:2202.08994.
[Challenge Link]
-
Q. Zhang, Y. Wei, Z. Han, H. Fu, X. Peng, C. Deng, Q. Hu, C. Xu, J. Wen, D. Hu, and C. Zhang,
"Multimodal Fusion on Low-quality Data: A Comprehensive Survey",
arXiv, arXiv:2404.18947.
-
J. Mei, T. Zhou, K. Huang, Y. Zhang, Y. Zhou, Y. Wu, and H. Fu,
"A Survey on Deep Learning for Polyp Segmentation: Techniques, Challenges and Future Trends",
arXiv, arXiv:2311.18373.
-
M. Wang, T. Lin, ..., C.Y. Cheng, H. Chen, and H. Fu,
"Common and Rare Fundus Diseases Identification Using Vision-Language Foundation Model with Knowledge of Over 400 Diseases",
arXiv, arXiv:2406.09317.
[Code]
-
Y. Peng, A. Lin, ..., X. Chen, H. Fu, and H. Chen,
"Enhancing Diagnostic Reliability of Foundation Model with Uncertainty Estimation in OCT Images",
arXiv, arXiv:2406.16942.
[Code]
-
K. Zou, Y. Bai, Z. Chen, Y. Zhou, Y. Chen, K. Ren, M. Wang, X. Yuan, X. Shen, and H. Fu,
"MedRG: Medical Report Grounding with Multi-modal Large Language Model",
arXiv, arXiv:2404.06798.
-
Z. Lin, H. Li, Z. Li, H. Fu, and J. Liu,
"Is Dataset Quality Still a Concern in Diagnosis Using Large Foundation Model?",
arXiv, arXiv:2405.12584.
-
K. Tam, K. Xu, L. Li, and H. Fu,
"Towards Federated Domain Unlearning: Verification Methodologies and Challenges",
arXiv, arXiv:2406.03078.
- L. Wang, M. Wang, H. Fu, and D. Zhang,
"Say No to Freeloader: Protecting Intellectual Property of Your Deep Model",
IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI), to appear.
- T. Zhang, S. Zheng, J. Cheng, X. Jia, J. Bartlett, X. Cheng, Z. Qiu, H. Fu, J. Liu, A. Leonardis, and J. Duan,
"Structure Unbiased Adversarial Model for Medical Image Translation",
IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI), to appear.
[Demo]
- J. Shi, C. Li, T. Gong, C. Wang, and H. Fu,
"CoD-MIL: Chain-of-Diagnosis Prompting Multiple Instance Learning for Whole Slide Image Classification",
IEEE Transactions on Medical Imaging (TMI), to appear.
- K. Huang, X. Ma, Z. Zhang, Y. Zhang, S. Yuan, H. Fu, and Q. Chen,
"Diverse Data Generation for Retinal Layer Segmentation with Potential Structure Modelling",
IEEE Transactions on Medical Imaging (TMI), to appear.
[Code]
2024:
- J. Hao, W. Kwapong, T. Shen, H. Fu, ..., and Y. Zhao,
"Early Detection of Dementia through Retinal Imaging and Trustworthy AI",
npj Digital Medicine, 2024.
[Code]
- J. Lin, L. Zhu, J. Shen, H. Fu, Q. Zhang, and L. Wang,
"ViDSOD-100: A New Dataset and A Baseline Model for RGB-D Video Salient Object Detection",
International Journal of Computer Vision (IJCV), 2024.
[Code]
- H. Xu, H. Fu, Y. Long, K. S. Ang, R. Sethi, K. Chong, M. Li, R. Uddamvathanak, H. K. Lee, J. Ling, A. Chen, L. Shao, L. Liu and J. Chen,
"Unsupervised spatially embedded deep representation of spatial transcriptomics",
Genome Medicine, 2024.
[Code]
[Analysis Code]
"ESI Highly Cited Paper"
- J. Liu, H. Liu, H. Fu, Y. Ye, K. Chen, Y. Lu, J. Mao, R. X. Xu, and M. Sun,
"Edge-guided Contrastive Adaptation Network for Arteriovenous Nicking Classification Using Synthetic Data",
IEEE Transactions on Medical Imaging (TMI), 2024.
- H. Li, Z. Lin, Z. Qiu, Z. Li, K. Niu, N. Guo, H. Fu, Y. Hu, and J. Liu,
"Enhancing and Adapting in the Clinic: Source-free Unsupervised Domain Adaptation for Medical Image Enhancement",
IEEE Transactions on Medical Imaging (TMI), 2024.
- W. Lin, Y. Hu, H. Fu, M. Yang, C.-B. Chng, R. Kawasaki, C. Chui, and J. Liu,
"Instrument-tissue Interaction Detection Framework for Surgical Video Understanding",
IEEE Transactions on Medical Imaging (TMI), 2024.
- Y. Wang, L. Zhen, T.-E. Tan, H. Fu, ..., Y. Liu, and D. SW Ting
"Geometric Correspondence-Based Multimodal Learning for Ophthalmic Image Analysis",
IEEE Transactions on Medical Imaging (TMI), 2024.
- A. He, T. Li, J. Yan, K. Wang, and H. Fu,
"Bilateral Supervision Network for Semi-supervised Medical Image Segmentation",
IEEE Transactions on Medical Imaging (TMI), 2024.
- K. Zou, T. Lin, Z. Han, M. Wang, X. Yuana, H. Chen, C. Zhang, X. Shen, and H. Fu,
"Confidence-aware multi-modality learning for eye disease screening",
Medical Image Analysis (MedIA), 2024.
[Code]
- J. Shi, C. Lia, T. Gong, and H. Fu,
"E2-MIL: An Explainable and Evidential Multiple Instance Learning Framework for Whole Slide Image Classification",
Medical Image Analysis (MedIA), 2024.
-
Y. Fan, H. Liao, S. Huang, Y. Luo, H. Fu, and H. Qi,
"A Survey of Emerging Applications of Diffusion Probabilistic Models in MRI",
Meta-Radiology, 2024.
- J. Shi, C. Li, T. Gong, Y. Zheng, and H. Fu,
"ViLa-MIL: Dual-scale Vision-Language Multiple Instance Learning for Whole Slide Image Classification",
in CVPR, 2024.
- Y. Wang, H. Fu, R. Kanagavelu, Q. Wei, Y. Liu, and R. S. M. Goh,
"An Aggregation-Free Federated Learning for Tackling Data Heterogeneity",
in CVPR, 2024.
- Z. Shi, H. Zheng, C. Xu, C. Dong, B. Pan, X. Xie, A. He, T. Li, and H. Fu,
"Resfusion: Denoising Diffusion Probabilistic Models for Image Restoration Based on Prior Residual Noise",
in NeurIPS, 2024.
[Code]
- H. Yao, Z. Han, H. Fu, X. Peng, Q. Hu, and C. Zhang,
"Out-Of-Distribution Detection with Diversification (Provably)",
in NeurIPS, 2024.
- G. Sun, C. Qin, H. Fu, L. Wang, and Z. Tao,
"Self-Training Large Language and Vision Assistant for Medical",
in EMNLP, 2024.
[Code]
- A. He, T. Li, Y. Wu, K. Zou, and H. Fu,
"FRCNet: Frequency and Region Consistency for Semi-supervised Medical Image Segmentation",
in MICCAI, 2024.
- A. He, T. Li, Y. Zhao, J. Zhao, and H. Fu,
"Open-Set Semi-Supervised Classification with Learnable Prototypes and Outlier Filter",
in MICCAI, 2024.
- H. Zeng, R. Zheng, K. Zou, Z. Chen, and H. Fu,
"Reliable Source Approximation: Source-Free Unsupervised Domain Adaptation for Vestibular Schwannoma MRI Segmentation",
in MICCAI, 2024.
[Code]
- K. Huang, X. Ma, Y. Zhang, N. Su, S. Yuan, Y. Liu, Q. Chen, and H. Fu,
"Memory-efficient High-resolution OCT Volume Synthesis with Cascaded Amortized Latent Diffusion Models",
in MICCAI, 2024.
[Code]
- R. Wu, C. Zhang, J. Zhang, Y. Zhou, T. Zhou, and H. Fu,
"MM-Retinal: Knowledge-Enhanced Foundational Pretraining with Fundus Image-Text Expertise",
in MICCAI, 2024.
[Code & Dataset]
- R. Kanagavelu, M. Walia, Y. Wang, H. Fu, Q. Wei, Y. Liu, and R. Goh,
"MedSynth: Leveraging Generative Model for Healthcare Data Sharing",
in MICCAI, 2024.
- M. Zhou, Y. Xu, Z. D. Soh, H. Fu, R. Goh, C.-Y. Cheng, Y. Liu, and L. Zhen,
"MedMLP: An Efficient MLP-like Network for Zero-shot Retinal Image Classification",
in MICCAI, 2024.
- Y. Xu, Y. Xia, H. Fu, R. Goh, Y. Liu, and X. Xu,
"Multi-scale Region-aware Implicit Neural Network for Medical Images Matting",
in MICCAI, 2024.
- Q. Yu, J. Xie, A. Nguyen, H. Zhao, J. Zhang, H. Fu, Y. Zhao, Y. Zheng, and Y. Meng,
"CLIP-DR: Textual Knowledge-Guided Diabetic Retinopathy Grading with Ranking-aware Prompting",
in MICCAI, 2024.
[Code]
- Y. Li, H. Hao, D. Zhang, H. Fu, M. Liu, C. Shan, Y. Zhao, and J. Zhang,
"MPMNet: Modal Prior Mutual-support Network for Age-related Macular Degeneration Classification",
in MICCAI, 2024.
- C. Qin, J. Cao, H. Fu, R. Anwer, and F. S. Khan,
"DB-SAM: Delving into High Quality Universal Medical Image Segmentation",
in MICCAI, 2024.
[Code]
2023:
-
M. Wang, T. Lin, L. Wang, ..., H. Chen, and H. Fu,
"Uncertainty-inspired Open Set Learning for Retinal Anomaly Identification",
Nature Communications, 2023.
[Code]
- A. Karargyris, R. Umeton, ..., H. Fu, ..., S. Bakas, and P. Mattson,
"Federated Benchmarking of Medical Artificial Intelligence with MedPerf",
Nature Machine Intelligence, 2023.
[Code]
- Y. Long, K. S. Ang, ..., H. Fu, ..., and J. Chen,
"Spatially informed clustering, integration, and deconvolution of spatial transcriptomics with GraphST",
Nature Communications, 2023.
[Code]
"ESI Highly Cited Paper"
-
P. Zheng, H. Fu, D.-P. Fan, Q. Fan, J. Qin, Y.-W. Tai, C.-K. Tang, and L. V. Gool,
"GCoNet+: A Stronger Group Collaborative Co-Salient Object Detector",
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023.
[Code]
- Z. Han, C. Zhang, H. Fu, and J. T. Zhou,
"Trusted Multi-View Classification with Dynamic Evidential Fusion",
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023.
[Code]
"ESI Highly Cited Paper"
- T. Zhou, H. Fu, C. Gong, L. Shao, F. Porikli, H. Ling, and J. Shen,
"Consistency and Diversity induced Human Motion Segmentation",
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023. "ESI Highly Cited Paper"
- A. He, K. Wang, T. Li, C. Du, S. Xia, and H. Fu,
"H2Former: An Efficient Hierarchical Hybrid Transformer for Medical Image Segmentation",
IEEE Transactions on Medical Imaging (TMI), 2023.
[Code]
"ESI Highly Cited Paper"
- E. Guo, H. Fu, L. Zhou, and D. Xu,
"Bridging Synthetic and Real Images: a Transferable and Multiple Consistency aided Fundus Image Enhancement Framework",
IEEE Transactions on Medical Imaging (TMI), 2023.
- J. Shi, L. Tang, Z. Gao, Y. Li, C. Wang, T. Gong, C. Li, and H. Fu,
"MG-Trans: Multi-scale Graph Transformer with Information Bottleneck for Whole Slide Image Classification",
IEEE Transactions on Medical Imaging (TMI), 2023.
- C.-M. Feng, Y. Yan, G. Chen, Y. Xu, Y. Hu, L. Shao, and H. Fu,
"Multimodal Transformer for Accelerated MR Imaging",
IEEE Transactions on Medical Imaging (TMI), 2023.
[Code]
"ESI Highly Cited Paper"
- C.-M. Feng, Y. Yan, S. Wang, Y. Xu, L. Shao, and H. Fu,
"Specificity-Preserving Federated Learning for MR Image Reconstruction",
IEEE Transactions on Medical Imaging (TMI), 2023.
[Code]
"ESI Highly Cited Paper"
- F. Shamshad, S. Khan, S. W.s Zamir, M. H. Khan, M. Hayat, F. S. Khan, and H. Fu,
"Transformers in Medical Imaging: A Survey",
Medical Image Analysis (MedIA), 2023.
[Project]
"ESI Highly Cited Paper"
- H. Li, H. Liu, H. Fu, Y. Xu, H. Shu, K. Niu, Y. Hu, and J. Liu,
"A Generic Fundus Image Enhancement Network Boosted by Frequency Self-supervised Representation Learning",
Medical Image Analysis (MedIA), 2023.
- J. Wu, H. Fang, F. Li, H. Fu, ..., X. Zhang, and Y. Xu,
"GAMMA Challenge: Glaucoma grAding from Multi-Modality imAges",
Medical Image Analysis (MedIA), 2023.
[Challenge Link]
- Y. Feng, Z. Wang, X. Xu, Y. Wang, H. Fu, S. Li, ..., Y. Liu, R. S. M. Goh, and C. H. Tan,
"Contrastive Domain Adaptation with Consistency Match for Automated Pneumonia Diagnosis",
Medical Image Analysis (MedIA), 2023.
-
K. Zou, Z. Chen, X. Yuan, X. Shen, M. Wang, and H. Fu,
"A Review of Uncertainty Estimation and its Application in Medical Imaging",
Meta-Radiology, 2023.
- L. Wang, M. Wang, D. Zhang, and H. Fu,
"Model Barrier: A Compact Un-Transferable Isolation Domain for Model Intellectual Property Protection",
in CVPR, 2023.
[Code]
- C.-M. Feng, B. Li, X. Xu, Y. Liu, H. Fu, and W. Zuo,
"Learning Federated Visual Prompt in Null Space for MRI Reconstruction",
in CVPR, 2023.
[Code]
- Y. Yang, A. Aviles-Rivero, Y. Liu, H. Fu, W. Wang, and L. Zhu,
"Video Adverse-Weather-Component Suppression Network via Weather Messenger and Adversarial Backpropagation",
in ICCV, 2023.
[Code]
- Q. Zhang, H. Wu, C. Zhang, Q. Hu, H. Fu, J. T. Zhou, and X. Peng,
"Provable Dynamic Fusion for Low-Quality Multimodal Data",
in ICML, 2023.
- H. Ma, Q. Zhang, C. Zhang, B. Wu, H. Fu, J. T. Zhou, and Q. Hu,
"Calibrating Multimodal Learning",
in ICML, 2023.
(Oral)
- J. Wu, C. Zhang, Z. Li, H. Fu, X. Peng, and J. T. Zhou,
"dugMatting: Decomposed-Uncertainty-Guided Matting",
in ICML, 2023.
[Code]
-
H. Ma, C. Zhang, Y. Bian, L. Liu, Z. Zhang, P. Zhao, S. Zhang, H. Fu, Q. Hu, and B. Wu
"Fairness-guided Few-shot Prompting for Large Language Models",
in NeurIPS, 2023.
[Code]
- K. Zou, T. Lin, X. Yuan, H. Chen, X. Shen, M. Wang, and H. Fu,
"Reliable Multimodality Eye Disease Screening via Mixture of Student's t Distributions",
in MICCAI, 2023.
[Code]
- M. Wang, L. Wang, X. Xu, K. Zou, Y. Qian, R. Goh, Y. Liu, and H. Fu,
"Federated Uncertainty-Aware Aggregation for Fundus Diabetic Retinopathy Staging",
in MICCAI, 2023.
- Z. Chen, Y. Zhou, A. Tran, J. Zhao, L. Wan, G. Ooi, L. Cheng, C. H. Thng, X. Xu, Y. Liu, and H. Fu,
"Medical Phrase Grounding with Region-Phrase Context Contrastive Alignment",
in MICCAI, 2023.
[Code]
- K. Ren, K. Zou, X. Liu, Y. Chen, X. Yuan, X. Shen, M. Wang, and H. Fu,
"Uncertainty-informed Mutual Learning for Joint Medical Image Classification and Segmentation",
in MICCAI, 2023.
[Code]
- Y. Qian, L. Li, H. Fu, M. Wang, X. Xu, Q. Peng, Y. C. Tham, C. Cheng, Y. Liu, and R. Goh,
"Category-independent Visual Explanation for Medical Deep Network Understanding",
in MICCAI, 2023.
- Y. Xu, M. Zhou, Y. Feng, X. Xu, H. Fu, R. Goh, and Y. Liu,
"Minimal-supervised Medical Image Segmentation via Vector Quantization Memory",
in MICCAI, 2023.
- J. Lin, Q. Dai, L. Zhu, H. Fu, Q. Wang, W. Li, W. Rao, X. Huang, and L. Wang,
"Shifting More Attention to Breast Lesion Segmentation in Ultrasound Videos",
in MICCAI, 2023.
[Code] (Oral)
- T. Chen, L. Mou, D. Zhang, M. Liu, X. Xu, H. Fu, Y. Zhao, and J. Zhang,
"RBGNet: Reliable Boundary-Guided Segmentation of Choroidal Neovascularization",
in MICCAI, 2023.
[Code]
- H. Li, H. Li, W. Zhao, H. Fu, X. Su, Y. Hu, and J. Liu,
"Frequency-mixed Single-source Domain Generalization for Medical Image Segmentation",
in MICCAI, 2023.
[Code]
- Y. Yang, H. Fu, A. Aviles-Rivero, C.-B. Schönlieb, and L. Zhu,
"DiffMIC: Dual-Guidance Diffusion Network for Medical Image Classification",
in MICCAI, 2023.
[Code]
- L. Hao, Y. Hu, W. Lin, Q. Wang, H. Li, H. Fu, J. Duan, and J. Liu,
"ACT-Net: Anchor-context Action Detection in Surgery Videos",
in MICCAI, 2023. (Oral)
- J. Zhang, Y. Hu, X. Qi, T. Meng, L. Wang, H. Fu, M. Yang, and J. Liu,
"Polar Eyeball Shape Net for 3D Posterior Ocular Shape Representation",
in MICCAI, 2023.
- S. Liu, J. Hao, Y. Xu, H. Fu, X. Guo, J. Zhang, Y. Zheng, Y. Liu, J. Liu, and Y. Zhao,
"Polar-Net: A Clinical-Friendly Model for Alzheimer's Disease Detection in OCTA Images",
in MICCAI, 2023.
- Y. Zhang, R. Xi, H. Fu, D. Towey, R. Bai, R. Higashita, and J. Liu,
"Elongated Physiological Structure Segmentation via Spatial and Scale Uncertainty-aware Network",
in MICCAI, 2023.
- C. Qin, J. Cao, H. Fu, R. Anwer, and F. Shahbaz,
"A Spatial-Temporal Deformable Attention based Framework for Breast Lesion Detection in Videos",
in MICCAI, 2023.
[Code]
- S. Li, R. Higashita, H. Fu, H. Li, J. Niu, and J. Liu,
"Content Preserving Diffusion Model for Unsupervised AS-OCT image Despeckling",
in MICCAI, 2023.
2022:
- W. Wang, Q. Lai, H. Fu, J. Shen, H. Ling, and R. Yang,
"Salient Object Detection in the Deep Learning Era: An In-Depth Survey",
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022.
[Project]
"ESI Highly Cited Paper"
- C. Zhang, Y. Cui, Z. Han, J. T. Zhou, H. Fu, and Q. Hu,
"Deep Partial Multi-View Learning",
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022.
[Code]
"ESI Highly Cited Paper"
- D.-P. Fan, T. Li, Z. Lin, G.-P. Ji, D. Zhang, M.-M. Cheng, H. Fu, and J. Shen,
"Re-thinking Co-Salient Object Detection",
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022.
[Chinese
version]
[Project]
[Code]
"ESI Highly Cited Paper"
- J. Hao, F. Li, H. Hao, H. Fu, Y. Xu, R. Higashita, X. Zhang, J. Liu, and Y. Zhao,
"Hybrid Variation-aware Network for Angle-closure Assessment in AS-OCT",
IEEE Transactions on Medical Imaging (TMI), 2022.
- H. Li, H. Liu, Y. Hu, H. Fu, Y. Zhao, H. Miao, and J. Liu,
"An Annotation-free Restoration Network for Cataractous Fundus Images",
IEEE Transactions on Medical Imaging (TMI), 2022.
[Code]
- K. Zhou, J. Li, W. Luo, Z. Li, J. Yang, H. Fu, J. Cheng, J. Liu, and S. Gao,
"Proxy-bridged Image Reconstruction Network for Anomaly Detection in Medical Images",
IEEE Transactions on Medical Imaging (TMI), 2022.
- A. He, K. Wang, T. Li, W. Bo, H. Kang and H. Fu,
"Progressive Multi-scale Consistent Network for Multi-class Fundus Lesion Segmentation",
IEEE Transactions on Medical Imaging (TMI), 2022.
[Code]
- H. Fang, F. Li, H. Fu, X. Sun, ..., X. Zhang, and Y. Xu, "ADAM Challenge: Detecting Age-related Macular Degeneration from Fundus Images",
IEEE Transactions on Medical Imaging (TMI), 2022.
[Challenge Link]
- X. Wang, L. Zhu, S. Tang, H. Fu, P. Li,
F. Wu, Y. Yang, and Y. Zhuang,
"Boosting RGB-D Saliency Detection by Leveraging Unlabeled RGB Images",
IEEE Transactions on Image Processing (TIP), 2022.
[Code]
- X. Zhang, Z. Xiao, H. Fu, Y. Hu, Jin Yuan, Y. Xu, R. Higashita, and J. Liu,
"Attention to region: Region-based integration-and-recalibration networks for nuclear cataract classification using AS-OCT images",
Medical Image Analysis (MedIA), 2022.
- L. Gao, H. Fu, L. Li, Y. Chen, M. Xu, and C.-Z. Xu
"FedDC: Federated Learning with Non-IID Data via Local Drift Decoupling and Correction",
in CVPR, 2022.
[Code]
- X. Liang, Y. Lin, H. Fu, L. Zhu, and X. Li
"RSCFed: Random Sampling Consensus Federated Semi-supervised Learning",
in CVPR, 2022.
[Code]
- B. Li, Z. Han, H. Li, H. Fu, and C. Zhang,
"Trustworthy Long-Tailed Classification",
in CVPR, 2022.
[Code]
- R. Gao, Q. Guo, F. J.-Xu, H. Yu, H. Fu, W. Feng, Y. Liu, and S. Wang,
"Can You Spot the Chameleon? Adversarially Camouflaging Images from Co-Salient Object Detection",
in CVPR, 2022.
[Code]
- S. Wang, L. Zhu, H. Fu, J. Qin, C.-B. Schönlieb, W. Feng, and S. Wang,
"Rethinking Video Rain Streak Removal: A New Synthesis Model and A Deraining Network with Video Rain Prior",
in ECCV, 2022.
- K. Zou, X. Yuan, X. Shen, M. Wang, and H. Fu,
"TBraTS: Trusted Brain Tumor Segmentation",
in MICCAI, 2022.
[Code]
- H. Li, H. Liu, H. Fu, H. Shu, Y. Zhao, X. Luo, Y. Hu, and J. Liu,
"Structure-consistent Restoration Network for Cataract Fundus Image Enhancement",
in MICCAI, 2022.
[Code]
- Z. Lin, J. Lin, L. Zhu, H. Fu, L. Wang, and J. Qin,
"A New Dataset and A Baseline Model for Breast Lesion Detection in Ultrasound Videos",
in MICCAI, 2022.
[Dataset & Code]
- X. Wang, H. Li, Z. Xiao, H. Fu, Y. Zhao, R. Jin, S. Zhang, W. R. Kwapong, Z. Zhang, H. Miao, and J. Liu,
"Screening of Dementia on OCTA Images via Multi-projection Consistency and Complementarity",
in MICCAI, 2022.
- H. Liu, H. Li, H. Fu, R. Xiao, Y. Gao, Y. Hu, and J. Liu,
"Degradation-invariant Enhancement of Fundus Images via Pyramid Constraint Network",
in MICCAI, 2022.
[Code]
- Y. Zhou, S. Bai, T. Zhou, Y. Zhang, and H. Fu,
"Delving into Local Features for Open-Set Domain Adaptation in Fundus Image Analysis",
in MICCAI, 2022.
- Y. Bai, J. Hao, H. Fu, Y. Hu, X. Ge, J. Liu, Y. Zhao, and J. Zhang,
"Unsupervised Lesion-Aware Transfer Learning for Diabetic Retinopathy Grading in Ultra-Wide-Field Fundus Photography",
in MICCAI, 2022.
- J. Chen, L. Mou, S. Ma, H. Fu, L. Guo, Y. Zheng, Y. Zhao, and J. Zhang,
"NerveFormer: A Cross-Sample Aggregation Network for Corneal Nerve Segmentation",
in MICCAI, 2022.
- W. Lin, Y. Hu, L. Luo, D. Zhou, M. Yang, H. Fu, C.-K. Chui, and J. Liu,
"Instrument-tissue Interaction Quintuple Detection in Surgery Videos",
in MICCAI, 2022.
2021:
- A. He, T. Li, N. Li, K. Wang, and H. Fu,
"CABNet: Category Attention Block for Imbalanced Diabetic Retinopathy Grading",
IEEE Transactions on Medical Imaging (TMI), 2021.
[Code]
"ESI Highly Cited Paper"
- Z. Shen, H. Fu, J. Shen, and L. Shao,
"Modeling and Enhancing Low-quality Retinal Fundus Images",
IEEE Transactions on Medical Imaging (TMI), 2021.
[Code]
[EyeQ Dataset]
- Y. Ma, H. Hao, J. Xie, H. Fu, J. Zhang, J. Yang, Z. Wang, J. Liu, Y. Zheng, and Y. Zhao,
"ROSE: A Retinal OCT-Angiography Vessel Segmentation Dataset and New Model",
IEEE Transactions on Medical Imaging (TMI), 2021.
[Code]
[Data]
"ESI Highly Cited Paper"
- Y. Zhou, T. Zhou, T. Zhou, H. Fu, and L. Shao,
"Contrast-Attentive Thoracic Disease Recognition with Dual-Weighting Graph Reasoning",
IEEE Transactions on Medical Imaging (TMI), 2021.
- Y. Ma, J. Liu, Y. Liu, H. Fu, Y. Hu, J. Cheng, H. Qi, Y. Wu, J.
Zhang, and Y. Zhao,
"Structure and Illumination Constrained GAN for Medical Image Enhancement",
IEEE Transactions on Medical Imaging (TMI), 2021.
[Code]
- T. Li, W. Bo, C. Hu, H. Kang, H. Liu, K. Wang, and H. Fu,
"Applications of Deep Learning in Fundus Images: A Review",
Medical Image Analysis (MedIA),2021.
[Project]
"ESI Highly Cited Paper"
- C. Xue, L. Zhu, H. Fu, X. Hu, X. Li, H. Zhang, and P.-A. Heng,
"Global Guidance Network for Breast Lesion Segmentation in Ultrasound Images",
Medical Image Analysis (MedIA),2021.
[Code]
- J. Fang, H. Fu, and J. Liu,
"Deep Triplet Hashing Network for Case-based Medical Image Retrieval",
Medical Image Analysis (MedIA),2021.
[Code]
- Z. Wan, C. Zhang, Y. Geng, H. Fu, X. Peng, P. Zhu, and Q.
Hu,
"Cross-View Equivariant Auto-Encoder",
in ICME, 2021.
"Best Paper Award of ICME 2021"
(link)
- Z. Han, C. Zhang, H. Fu, and J. T. Zhou,
"Trusted Multi-View Classification",
in ICLR, 2021.
[Code]
- H. Ma, Z. Han, C. Zhang, H. Fu, J. T. Zhou, and Q. Hu,
"Trustworthy Multimodal Regression with Mixture of Normal-inverse Gamma Distributions",
in NeurIPS, 2021.
[Code]
- Q. Fan, D.-P. Fan, H. Fu, C.-K. Tang, L. Shao, and Y.-W. Tai,
"Group Collaborative Learning for Co-Salient Object Detection",
in CVPR, 2021.
[Code]
- Z. Chen, L. Wan, L. Zhu, J. Shen, H. Fu, W. Liu, and J. Qin,
"Triple-cooperative Video Shadow Detection",
in CVPR, 2021.
[Dataset]
[Code]
- T. Zhou, H. Fu, G. Chen, Y. Zhou, D.-P. Fan, and L. Shao,
"Specificity-preserving RGB-D Saliency Detection",
in ICCV, 2021.
[Code]
- Y. Zhou, L. Huang, T. Zhou, H. Fu, and L. Shao,
"Visual-Textual Attentive Semantic Consistency for Medical Report Generation",
in ICCV, 2021.
- X. Zhang, Z. Wu, Z. Weng, H. Fu, J. Chen, Y.-G. Jiang, and L. Davis,
"VideoLT: Large-scale Long-tailed Video Recognition",
in ICCV, 2021.
[Dataset]
[Code]
- Y. Zhang, L. Zhu, W. Feng, H. Fu, M. Wang, Q. Li, C. Li, and S. Wang,
"VIL-100: A New Dataset and A Baseline Model for Video Instance Lane Detection",
in ICCV, 2021.
[Code and Dataset]
- C.-M. Feng, H. Fu, S. Yuan, and Y. Xu,
"Multi-Contrast MRI Super-Resolution via a Multi-Stage Integration Network",
in MICCAI, 2021.
[Code]
- C.-M. Feng, Y. Yan, H. Fu, L. Chen, and Y. Xu,
"Task Transformer Network for Joint MRI Reconstruction and Super-Resolution",
in MICCAI, 2021.
[Code]
- G.-P. Ji, Y.-C. Chou, D.-P. Fan, G. Chen, H. Fu, D. Jha, and L. Shao,
"Progressively Normalized Self-Attention Network for Video Polyp Segmentation",
in MICCAI, 2021.
[Chinese version]
[Code]
( MICCAI Student Travel Award )
- S. Li, X. Sui, J. Fu, H. Fu, X. Luo, Y. Feng, X. Xu, Y.
Liu, D. Ting, and R. Goh,
"Few-Shot Domain Adaptation with Polymorphic Transformers",
in MICCAI, 2021.
[Code]
- Y. Zhang, R. Higashita, H. Fu, Y. Xu, Y. Zhang, H. Liu, J.Zhang, and J. Liu,
"A Multi-Branch Hybrid Transformer Network for Corneal Endothelial Cell
Segmentation",
in MICCAI, 2021.
2020:
- C. Zhang, H. Fu, Q. Hu, X. Cao, Y. Xie, D. Tao, and
D. Xu,
"Generalized Latent Multi-view Subspace Clustering",
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020.
[Code]
[Data]
"ESI Highly Cited Paper"
- C. Zhang, H. Fu, J. Wang, Q. Hu, X. Cao, and W. Li,
"Tensorized Multi-View Subspace Representation Learning",
International Journal of Computer Vision (IJCV), 2020.
[Code]
- T. Zhang, J. Cheng, H. Fu, Z. Gu, Y. Xiao, K. Zhou, S. Gao,
R. Zheng, and J. Liu,
"Noise Adaptation Generative Adversarial Network for Medical Image Analysis",
IEEE Transactions on Medical Imaging (TMI), 2020.
- D.-P. Fan, T. Zhou, G.-P. Ji, Y. Zhou, G. Chen, H. Fu, J. Shen, and L. Shao,
"Inf-Net: Automatic COVID-19 Lung Infection Segmentation from CT Images",
IEEE Transactions on Medical Imaging (TMI), 2020.
[Code]
"ESI Highly Cited Paper"
- T. Zhou, H. Fu, J. Shen, G. Chen, and L. Shao,
"Hi-Net: Hybrid-fusion Network for Multi-modal MR Image Synthesis",
IEEE Transactions on Medical Imaging (TMI), 2020.
[Code]
"ESI Highly Cited Paper"
- H. Fu, F. Li, X. Sun, ..., X. Zhang, and Y. Xu,
"AGE Challenge: Angle Closure Glaucoma Evaluation in Anterior Segment Optical Coherence Tomography",
Medical Image Analysis (MedIA), 2020.
[Challenge Link]
- J. I. Orlando, H. Fu, J. B. Breda, ..., X. Zhang, Y. Xu, and H. Bogunović,
"REFUGE Challenge: A Unified Framework for Evaluating Automated Methods for Glaucoma Assessment from Fundus Photographs",
Medical Image Analysis (MedIA),2020.
[Challenge Link]
"ESI Highly Cited Paper"
- L. Mou, Y. Zhao, H. Fu, Y. Liu, J. Cheng, Y. Zheng, P. Su, J. Yang, L. Chen, A. F. Frangi, M. Akiba, and J. Liu,
"CS^2-Net: Deep Learning Segmentation of Curvilinear Structures in Medical
Imaging",
Medical Image Analysis (MedIA),2020.
[Code]
"ESI Highly Cited Paper"
- C. Wang, H. Fu, L. Yang, and X. Cao,
"Text Co-detection in Multi-view Scene",
IEEE Transactions on Image Processing (TIP), 2020.
- T. Zhou, H. Fu, C. Gong, J. Shen, L. Shao, and F. Porikli,
"Multi-mutual Consistency Induced Transfer Subspace Learning for Human Motion
Segmentation",
in CVPR, 2020.
- D.-P. Fan, Z. Lin, G.-P. Ji, D. Zhang, H. Fu, and M.-M.
Cheng,
"Taking a Deeper Look at the Co-salient Object Detection",
in CVPR, 2020.
[Project]
- J. Hao, H. Fu, Y. Xu, Y. Hu, F. Li, X. Zhang, J. Liu, and Y. Zhao,
"Reconstruction and Quantification of 3D Iris Surface for Angle-Closure Glaucoma Detection in Anterior Segment OCT",
in MICCAI, 2020.
- H. Hao, H. Fu, Y. Xu, J. Yang, F. Li, X. Zhang, J. Liu, and
Y. Zhao,
"Open-Appositional-Synechial Anterior Chamber Angle Classification in AS-OCT Sequences",
in MICCAI, 2020.
- T. Zhou, H. Fu, Y. Zhang, C. Zhang, X. Lu, J. Shen, and L.
Shao,
"M^2Net: Multi-modal Multi-channel Network for Overall Survival Time Prediction of Brain Tumor Patients",
in MICCAI, 2020.
- D.-P. Fan, G.-P. Ji, T. Zhou, G. Chen, H. Fu, J. Shen, and L. Shao,
"PraNet: Parallel Reverse Attention Network for Polyp Segmentation",
in MICCAI, 2020.
[Chinese
version]
[Code]
[Best precision (IIAI-Med) of Medical Image AnalysisEval 2020 Workshop at Medico Track]
[ Most Influential Paper (Application) Award in Jittor Developer Conference 2021 ]
- S. Zhang, H. Fu, Y. Xu, Y. Liu, and M. Tan,
"Retinal Image Segmentation with a Structure-Texture Demixing Network",
in MICCAI, 2020.
- L. Zhu, R. Chen, H. Fu, C. Xie, L. Wang, L. Wan, and P.-A.
Heng,
"A Second-order Subregion Pooling Network for Breast Ultrasound Lesion
Segmentation",
in MICCAI, 2020.
2019:
- H. Fu, M. Baskaran, Y. Xu, S. Lin, D. W. K. Wong, J. Liu, T. A. Tun, M. Mahesh, S. A. Perera, and T. Aung,
"A Deep Learning System for Automated Angle-Closure Detection in Anterior Segment Optical Coherence Tomography Images",
American Journal of Ophthalmology (AJO), 2019.
- Z. Gu, J. Cheng, H. Fu, K. Zhou, H. Hao, Y. Zhao, T. Zhang,
S. Gao, and J. Liu,
"CE-Net: Context Encoder Network for 2D Medical Image Segmentation",
IEEE Transactions on Medical Imaging (TMI), 2019.
[Code]
"ESI Highly Cited Paper"
- Z. Tao, H. Liu, H. Fu, and Y. Fu,
"Multi-View Saliency-Guided Clustering for Image Cosegmentation",
IEEE Transactions on Image Processing (TIP), 2019.
Results for
[iCoseg]
[InterNet]
[MSRC]
[Pascal10]
- R. Cong, J. Lei, H. Fu, F. Porikli, Q. Huang, and C.
Hou,
"Video Saliency Detection via Sparsity-based Reconstruction and Propagation",
IEEE Transactions on Image Processing (TIP), 2019.
[Code]
- C. Guo, C. Li, J. Guo, R. Cong, H. Fu, and P. Han,
"Hierarchical Features Driven Residual Learning for Depth Map Super-Resolution",
IEEE Transactions on Image Processing (TIP), 2019.
[Code]
- C. Zhang, Z. Han, Y. Cui, H. Fu, J. T. Zhou, and Q.
Hu,
"CPM-Nets: Cross Partial Multi-View Networks",
in NeurIPS, 2019.
[Code]
( Spotlight , ~ 2.4%)
- C. Zhang, Y. Liu, and H. Fu,
"AE^2-Nets: Autoencoder in Autoencoder Networks",
in CVPR, 2019.
[Code]
( Oral , ~ 5.6%)
- R. Li, C. Zhang, H. Fu, X. Peng, J. T. Zhou, and Q.
Hu,
"Reciprocal Multi-Layer Subspace Learning for Multi-View Clustering",
in ICCV, 2019.
- J. Lee, P. Liu, J. Cheng, and H. Fu,
"A Deep Step Pattern Representation for Multimodal Retinal Image Registration",
in ICCV, 2019.
- H. Fu, B. Wang, J. Shen, S. Cui, Y. Xu, J. Liu, and L.
Shao,
"Evaluation of Retinal Image Quality Assessment Networks in Different
Color-spaces",
in MICCAI, 2019.
[Dataset and Code]
- Z. Zhang, H. Fu, H. Dai, J. Shen, Y. Pang, and L. Shao,
"ET-Net: A Generic Edge-Attention Guidance Network for Medical Image
Segmentation",
in MICCAI, 2019.
- T. Zhang, H. Fu, Y. Zhao, J. Cheng, M. Guo, Z. Gu, B. Yang,
Y. Xiao, S. Gao, and J. Liu,
"SkrGAN: Sketching-rendering Unconditional Generative Adversarial Networks for Medical Image
Synthesis",
in MICCAI, 2019.
- S. Zhang, H. Fu, Y. Yan, Y. Zhang, Q. Wu, M. Yang, M. Tan,
and Y. Xu,
"Attention Guided Network for Retinal Image Segmentation",
in MICCAI, 2019.
[Code]
- L. Deng, S. Tang, H. Fu, B. Wang, and Y. Zhang,
"Spatiotemporal Breast Mass Detection Network (MD-Net) in 4D DCE-MRI Images",
in MICCAI, 2019.
- T. Zhou, M. Liu, H. Fu, J. Wang, J. Shen, L. Shao, and D. Shen,
"Deep Multi-modal Latent Representation Learning for Automated Dementia
Diagnosis",
in MICCAI, 2019.
- T. Zhou, K. H. Thung, Y. Zhang, H. Fu, J. Shen, D. Shen, and L. Shao,
"Inter-modality Dependence Induced Data Recovery for MCI Conversion Prediction",
in MICCAI, 2019.
Before 2018:
- H. Fu, J. Cheng, Y. Xu, D. W. K. Wong, J. Liu, and X. Cao,
"Joint Optic Disc and Cup Segmentation Based on Multi-label Deep Network and Polar Transformation",
IEEE Transactions on Medical Imaging (TMI), 2018.
[Code]
"ESI Highly Cited Paper"
- H. Fu, J. Cheng, Y. Xu, C. Zhang, D. W. K. Wong, J. Liu,
and X. Cao,
"Disc-aware Ensemble Network for Glaucoma Screening from Fundus Image",
IEEE Transactions on Medical Imaging (TMI), 2018.
[Code]
"ESI Highly Cited Paper"
- J. Cheng, Z. Li, Z. Gu, H. Fu, D. W. K. Wong, and J.
Liu,
"Structure-preserving Guided Retinal Image Filtering and Its Application for Optic Disc Analysis",
IEEE Transactions on Medical Imaging (TMI), 2018.
[Code]
- R. Cong, J. Lei, H. Fu, Q. Huang, X. Cao, and C.
Hou,
"Co-saliency Detection for RGBD Images Based on Multi-constraint Feature Matching and Cross Label Propagation",
IEEE Transactions on Image Processing (TIP), 2018.
[Project]
- H. Zhu, R. Vial, S. Lu, X. Peng, H. Fu, Y. Tian, and X.
Cao,
"YoTube: Searching Action Proposal via Recurrent and Static Regression Networks",
IEEE Transactions on Image Processing (TIP), 2018.
- H. Fu, Y. Xu, S. Lin, X. Zhang, D. W. K. Wong, J. Liu,
A. F. Frangi, M. Baskaran, and T. Aung,
"Segmentation and Quantification for Angle-Closure Glaucoma Assessment in Anterior Segment OCT",
IEEE Transactions on Medical Imaging (TMI), 2017.
- H. Fu, D. Xu, and S. Lin,
"Object-based Multiple Foreground Segmentation in RGBD Video",
IEEE Transactions on Image Processing (TIP), 2017.
[Dataset on OneDrive]
[Dataset on BaiduYun] (~332MB)
- C. Zhang, H. Fu, Q. Hu, P. Zhu, and X. Cao,
"Flexible Multi-view Dimensionality co-Reduction",
IEEE Transactions on Image Processing (TIP), 2017.
[Code]
[Data]
- H. Fu, D. Xu, B. Zhang, S. Lin, and R. K. Ward,
"Object-based Multiple Foreground Video Co-segmentation via Multi-state Selection Graph",
IEEE Transactions on Image Processing (TIP), 2015.
[Code and Dataset]
- X. Cao, Z. Tao, B. Zhang, H. Fu, and W. Feng,
"Self-adaptively Weighted Co-saliency Detection via Rank Constraint",
IEEE Transactions on Image Processing (TIP), 2014.
[Code]
- X. Cao, C. Zhang, C. Zhou, H. Fu, and H. Foroosh,
"Constrained Multi-View Video Face Clustering",
IEEE Transactions on Image Processing (TIP), 2015.
[Project]
[Code]
- H. Fu, X. Cao, and Z. Tu,
"Cluster-based Co-saliency Detection",
IEEE Transactions on Image Processing (TIP), 2013.
[Code]
"ESI Highly Cited Paper"
- H. Fu, Y. Xu, S. Lin, D. W. K. Wong, B. Mani, M.
Mahesh, T. Aung, and J. Liu,
"Multi-Context Deep Network for Angle-Closure Glaucoma Screening in Anterior Segment OCT",
in MICCAI, 2018.
- C. Zhang, Q. Hu, H. Fu, P. Zhu, and X. Cao,
"Latent Multi-view Subspace Clustering",
in CVPR, 2017.
[Code]
[Data]
( Spotlight , ~ 8%)
- H. Fu, Y. Xu, S. Lin, D. W. K. Wong, and J. Liu,
"DeepVessel: Retinal Vessel Segmentation via Deep Learning and Conditional Random
Field",
in MICCAI, 2016.
[Results in OneDrive]
[Results in BaiduYun]
["Finalist of the Young Scientist Publication Impact Award at MICCAI 2021"]
- Y. Xu, L. Duan, H. Fu, D. W. K. Wong, B. Mani, T. Aung,
and J. Liu,
"Axial Alignment for Anterior Segment Swept Source Optical Coherence Tomography via Robust
Low-rank Tensor Recovery",
in MICCAI, 2016.
- H. Fu, D. Xu, S. Lin, and J. Liu,
"Object-based RGBD Image Co-segmentation with Mutex Constraint",
in CVPR, 2015.
[Dataset on OneDrive]
[Dataset on BaiduYun] (~102MB)
[Result on OneDrive]
[Result on BaiduYun]
- X. Cao, C. Zhang, H. Fu, S. Liu, and H. Zhang,
"Diversity-induced Multiview Subspace Clustering",
in CVPR, 2015.
[Code]
[Data]
- C. Zhang, H. Fu, S. Liu, G. Liu, and X. Cao,
"Low-Rank Tensor Constrained Multiview Subspace Clustering",
in ICCV, 2015.
[Code]
[Data]
- H. Fu, D. Xu, B. Zhang, and S. Lin,
"Object-based Multiple Foreground Video Co-segmentation",
in CVPR, 2014.
[Code and Dataset]