1. Deep learning-driven models for endoscopic image analysis. Advances in Artificial Intelligence, Computation, and Data Science, PP:271-300, 2021. |
2. CAD of GI Diseases with Capsule Endoscopy. Computer-aided Diagnosis and Therapy: Emerging Techniques for Medical Image Analysis and Applications, PP:285-301, 2017. |
1. Adjustment and Alignment for Unbiased Open Set Domain Adaptation. IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR-23), Vancouver, Canada. Code |
2. EfficientViT: Memory Efficient Vision Transformer with Cascaded Group Attention. IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR-23), Vancouver, Canada. Code |
3. Gradient and Feature Conformity-Steered Medical Image Classification with Noisy Labels. International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI-23), Vancouver, Canada. |
4. Transferability-guided Multi-source Model Adaptation for Medical Image Segmentation. International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI-23), Vancouver, Canada. (Early Accept) Code |
5. H2GM: A Hierarchical Hypergraph Matching Framework for Brain Landmark Alignment. International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI-23), Vancouver, Canada. Code |
6. Conditional Physics-Informed Graph Neural Network for Fractional Flow Reserve Assessment. International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI-23), Vancouver, Canada. (Early Accept) |
7. Novel Scenes & Classes: Towards Adaptive Open-set Object Detection. International Conference on Computer Vision 2023 (ICCV-23, ORAL), Paris, France. Code |
8. MRM: Masked Relation Modeling for Medical Image Pre-Training with Genetics. International Conference on Computer Vision 2023 (ICCV-23), Paris, France. Code |
9. FedPD: Federated Open Set Recognition with Parameter Disentanglement. International Conference on Computer Vision 2023 (ICCV-23), Paris, France. Code |
10. CLIP-Driven Universal Model for Organ Segmentation and Tumor Detection. International Conference on Computer Vision 2023 (ICCV-23), Paris, France. Code |
11. Unleash the Potential of Image Branch for Cross-modal 3D Object Detection. Conference on Neural Information Processing Systems (NeurIPS-23), New Orleans, United States. Code |
12. Semantic-guided unknown-aware Rare Disease Diagnosis. International Conference on Bioinformatics and Biomedicine (BIBM-23), Istanbul, Turkey. Code |
13. Species-Shared and -Specific Brain Functional Connectomes Revealed by Shared-Unique Variational Autoencoder. Biennial International Conference on Information Processing in Medical Imaging (IPMI-23), San Carlos de Bariloche, Argentina. |
1. Personalized Retrogress-Resilient Federated Learning Towards Imbalanced Medical Data. IEEE Transactions on Medical Imaging (TMI), 41(12):3663-3674, 2022. (Impact Factor: 10.6) Code |
2. D2-Net: Dual Disentanglement Network for Brain Tumor Segmentation with Missing Modalities. IEEE Transactions on Medical Imaging (TMI), 41(10):2953-2964, 2022. Code |
3. A Source-free Domain Adaptive Polyp Detection Framework with Style Diversification Flow. IEEE Transactions on Medical Imaging (TMI), 41(7):1897-1908, 2022. Code |
4. Source Free Domain Adaptation for Medical Image Segmentation with Fourier Style Mining. Medical Image Analysis (MedIA), 79:102457, 2022. (Impact Factor: 10.9) Code |
5. Instance Importance-Aware Graph Convolutional Network for 3D Medical Diagnosis. Medical Image Analysis (MedIA), 78:102421, 2022. Code |
6. Non-equivalent Images and Pixels: Confidence-aware Resampling with Meta-learning Mixup for Polyp Segmentation. Medical Image Analysis (MedIA), 78:102394, 2022. |
7. A Heterogenous Group CNN for Image Super-resolution. IEEE Transactions on Neural Networks and Learning Systems (TNNLS), DOI: 10.1109/TNNLS.2022.3210433, 2022. (Impact Factor: 10.4) Code |
8. Dynamic Depth-Aware Network for Endoscopy Super-Resolution. IEEE Journal of Biomedical and Health Informatics (JBHI), 26(10):5189-5200, 2022. (Impact Factor: 7.7) Code |
9. SCAN++: Enhanced Semantic Conditioned Adaptation for Domain Adaptive Object Detection. IEEE Transactions on Multimedia (TMM), 25:7051-7061, 2022. (Impact Factor: 7.3) Code |
10. Multiscale Residual Attention Convolutional Neural Network for Bearing Fault Diagnosis. IEEE Transactions on Instrumentation and Measurement (TIM), 71:3519413, 2022. (Impact Factor: 5.6) |
11. Image Super-Resolution with An Enhanced Group Convolutional Neural Network. Neural Networks, 153:373-385, 2022. (Impact Factor: 7.8) Code |
12. Scale mutualized perception for vessel border detection in intravascular ultrasound images. IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB), DOI: 10.1109/TCBB.2022.3224934, 2022. (Impact Factor: 4.5) |
13. A morphometric analysis of commonly used craniometric approaches for freehand ventriculoperitoneal shunting Operative Neurosurgery (OPER NEUROSURG), 22(2):51-60, 2022. (Impact Factor: 2.3) |
1. SIGMA: Semantic-complete Graph Matching for Domain Adaptative Object Detection. IEEE Conference on Computer Vision and Pattern Recognition (CVPR-22, ORAL, Best Paper Finalist, 33/8161), New Orleans, Louisiana. Code 知乎 |
2. SimT: Handling Open-set Noise for Domain Adaptive Semantic Segmentation. IEEE Conference on Computer Vision and Pattern Recognition (CVPR-22), New Orleans, Louisiana. Code 知乎 |
3. Towards Robust Adaptive Object Detection under Noisy Annotations. IEEE Conference on Computer Vision and Pattern Recognition (CVPR-22), New Orleans, Louisiana. Code |
4. IDEA-Net: Dynamic 3D Point Cloud Interpolation via Deep Embedding Alignment. IEEE Conference on Computer Vision and Pattern Recognition (CVPR-22), New Orleans, Louisiana. Code |
5. Incremental Cross-view Mutual Distillation for Self-supervised Medical CT Synthesis. IEEE Conference on Computer Vision and Pattern Recognition (CVPR-22), New Orleans, Louisiana. |
6. Intervention & Interaction Federated Abnormality Detection with Noisy Clients. International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI-22, ORAL), Singapore. (Early Accept) (MICCAI-22 Student Travel Award) Code |
7. Discrepancy and Gradient-guided Multi-modal Knowledge Distillation for Pathological Glioma Grading. International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI-22, ORAL), Singapore (Early Accept) Code |
8. Edge-oriented Point-cloud Transformer for 3D Intracranial Aneurysm Segmentation. International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI-22), Singapore. (Early Accept) Code |
9. Disentangle then Calibrate: Selective Treasure Sharing for Generalized Rare Disease Diagnosis. International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI-22), Singapore. (Early Accept) |
10. Joint Class-Affinity Loss Correction for Robust Medical Image Segmentation with Noisy Labels. International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI-22), Singapore. Code |
11. Semi-Supervised Medical Image Classification with Temporal Knowledge-Aware Regularization. International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI-22), Singapore. Code |
12. SCAN: Cross Domain Object Detection with Semantic Conditioned Adaptation. AAAI Conference on Artificial Intelligence (AAAI-22, ORAL), Virtual Conference. Code |
13. Unknown-Oriented Learning for Open Set Domain Adaptation. European Conference on Computer Vision (ECCV-22), Tel Aviv. Code |
1. MetaCorrection: Domain-aware Meta Loss Correction for Unsupervised Domain Adaptation in Semantic Segmentation. IEEE Conference on Computer Vision and Pattern Recognition (CVPR-21), Virtual Conference. Code Video |
2. Diagnose Like A Pathologist: Weakly-Supervised Pathologist-Tree Network for Slide-Level Immunohistochemical Scoring. AAAI Conference on Artificial Intelligence (AAAI-21), Virtual Conference. Code |
3. Exploring Gradient Flow Based Saliency for DNN Model Compression. ACM International Conference on Multimedia (MM-21), Chengdu, China. Code |
4. Personalized Retrogress-Resilient Framework for Real-World Medical Federated Learning. International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI-21), Strasbourg, France. (Early Accept) (MICCAI-21 Student Travel Award) Code |
5. Prototypical Interaction Graph for Unsupervised Domain Adaptation in Surgical Instrument Segmentation. International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI-21), Strasbourg, France. (Early Accept) Code Video |
6. Categorical Relation-Preserving Contrastive Knowledge Distillation for Medical Image Classification. International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI-21), Strasbourg, France. Code |
7. COINet: Adaptive Segmentation with Co-Interactive Network for Autonomous Driving. 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS-21), Prague, Czech Republic. |
8. Dynamic Tracking of Microrobot with Active Magnetic Sensor Array. IEEE International Conference on Robotics and Automation (ICRA-21), Xi'an, China. |
9. Joint Polyp Detection and Segmentation with Heterogeneous Endoscopic Data. The 3rd International Endoscopy Computer Vision Challenge and Workshop (EndoCV) of ISBI 2021, Nice, France. (Ranked 1st place in polyp detection) Code |
1. Joint Spatial-Wavelet Dual-Stream Network for Super-Resolution. International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI-20), Lima, Peru. (Early Accept) Code. |
2. Learning Dynamic Convolutions for Multi-Modal 3D MRI Brain Tumor Segmentation. International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI-20), Lima, Peru. |
3. Diagnose like a Clinician: Third-order Attention Guided Lesion Amplification Network for WCE Image Classification. 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS-20), Las Vegas, USA. |
4. Complementary Network with Adaptive Receptive Fields for Melanoma Segmentation. IEEE International Symposium on Biomedical Imaging 2020 (ISBI-20), Iowa City, USA. Code. |
5. Self-Paced Learning for Automatic Prostate Segmentation on MR Images with Hierarchical Boundary Sensitive Network. The 2020 IEEE International Conference on Real-time Computing and Robotics IEEE (RCAR-20), Asahikawa, Japan. |
1. Wireless Capsule Endoscopy: A New Tool for Cancer Screening in The Colon with Deep Learning-Based Polyp Recognition. Proceedings of the IEEE (P IEEE), 108(1):178-197, 2019. (* indicates equal contribution) (Impact Factor: 20.6) |
2. Neural Networks for Deep Radiotherapy Dose Analysis and Prediction of Liver SBRT Outcomes. IEEE Journal of Biomedical and Health Informatics (JBHI), 23(5):1821-1833, 2019. (Impact Factor: 7.7) |
3. Deep neural network ensemble for pneumonia localization from a large-scale chest x-ray database. Computers and Electrical Engineering (COMPUT ELECTR ENG), 78:388-399, 2019. (Impact Factor: 4.3) |
4. Multi-Subtype Classification Model for Non-Small Cell Lung Cancer Based On Radiomics: SLS Model. Medical Physics (MED PHYS), 46(7):3091-3100, 2019. (Impact Factor: 3.8) |
5. Prostate Cancer Classification with Multi-parametric MRI Transfer Learning Model. Medical Physics (MED PHYS), 46(2):765-756, 2019. |
6. Models for multiple attribute decision making with picture fuzzy information. Journal of Intelligent and Fuzzy Systems (J. Intell. Fuzzy Syst.), 37(2):1973-1980, 2019. (Impact Factor: 2.0) |
1. Triple ANet: Adaptive Abnormal-aware Attention Network for WCE Image Classification. International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI-19), Shenzhen, China. (Early Accept) Code. |
2. Selective Feature Aggregation Network with Area-boundary Constraints for Polyp Segmentation. International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI-19), Shenzhen, China. (Early Accept) Code |
3. Domain Knowledge Based Brain Tumor Segmentation and Overall Survival Prediction. MICCAI-19 Brainlesion Workshop. Springer, Cham, 2019. Code. |
4. Prostate Segmentation with Encoder-Decoder Densely Connected Convolutional Network (ED-DenseNet). IEEE International Symposium on Biomedical Imaging 2019 (ISBI-19), Venice, Italy. |
5. A Saliency-Aware Hybrid Dense Network for Bleeding Detection in Wireless Capsule Endoscopy Images. IEEE International Symposium on Biomedical Imaging 2019 (ISBI-19), Venice, Italy. |
1. Automatic Polyp Detection via A Novel Unified Bottom-up and Top-down Saliency Approach. IEEE Journal of Biomedical and Health Informatics (JBHI), 22(4):1250-1260, 2018. (Impact Factor: 7.7) |
2. Automatic Prostate Segmentation Using Deep Learning and MR Images. International Journal of Radiation Oncology Biology Physics (IJROBP), 102(3):e379, 2018. (Impact Factor: 7.0) |
3. Prostate Cancer Staging and Radiation Treatment Planning Using Deep Learning on MRI. International Journal of Radiation Oncology Biology Physics (IJROBP), 102(3):S102, 2018. |
4. Development of Deep Neural Network for Individualized Hepatobiliary Toxicity Prediction After Liver SBRT. Medical Physics (MED PHYS), 45(10):4763-4774, 2018. (Impact Factor: 3.8) |
5. Convolutional Neural Networks for Identifying Correlation Between Dose Patterns Associated with Poor Survival and Early Local Recurrence After Metastatic Liver SBRT. Medical Physics (MED PHYS), 45(6):E415-E415, 2018. |
6. Superpixel-Based and Boundary-Sensitive Convolutional Neural Network for Automated Liver Segmentation. Physics in Medicine & Biology (PMB), 63(9):095017, 2018. (Impact Factor: 3.5) |
7. Discriminative Joint-feature Topic Model with Dual Constraints for WCE Classification. IEEE Transaction on Cybernetics (TCYB), 48(7):2074-2085, 2017. (Impact Factor: 11.8) |
8. Deep Learning for Polyp Recognition in Wireless Capsule Endoscopy Images. Medical Physics (MED PHYS), 44(4):1379-1389, 2017. (Impact Factor: 3.8) (One of the four highest quality articles in Apirl 2017 issue (from 50+ articles) chosen by the editor to feature at the Editor's Picks Column as Open-Access article.) |
9. Bleeding Frame and Region Detection in the Wireless Capsule Endoscopy Video. IEEE Journal of Biomedical and Health Informatics (JBHI), 20(2):624-630, 2016. (Impact Factor: 7.7) |
10. WCE Abnormality Detection based on Saliency and Adaptive Locality-constrained Linear Coding. IEEE Transactions on Automation Science and Engineering (TASE), 14(1):149-159, 2016. (Impact Factor: 5.6) |
11. Improved Bag of Feature for Automatic Polyp Detection in Wireless Capsule Endoscopy Images. IEEE Transactions on Automation Science and Engineering (TASE), 13(2):529-535, 2016. |
12. Saliency based Ulcer Detection for Wireless Capsule Endoscopy Diagnosis. IEEE Transactions on Medical Imaging (TMI), 34(10):2046-2057, 2015. (Impact Factor: 10.6) |
13. Hierarchical Key Frame Extraction for Wireless Capsule Endoscopy Video Based on the Saliency Map. International Journal of Mechatronics and Automation (IJMA), 33(5):1002-1013, 2014. |
14. Meta-Analysis of Functional Roles of DICCCOLs. Neuroinformatics, 11(1):47-63, 2013. (Impact Factor: 3.4) |
15. Inferring Group-wise Consistent Multimodal Brain Networks via Multi-view Spectral Clustering. IEEE Transactions on Medical Imaging (TMI), 32(9):1576-1586, 2013. (Impact Factor: 10.6) |
16. DICCCOL: Dense Individualized and Common Connectivity-based Cortical Landmarks. Cerebral Cortex (Cereb Cortex), 23(4):786-800, 2013. (Impact Factor: 3.7) |
17. Visual analytics of brain networks. NeuroImage, 61(1):82-97, 2012. (Impact Factor: 5.7) |
18. Axonal Fiber Terminations Concentrate on Gyri. Cerebral Cortex (Cereb Cortex), 22(12): 2831-2839, 2012. (Impact Factor: 3.7) |
1. RIIS-DenseNet: Rotation-Invariant and Image Similarity Constrained Densely Connected Convolutional Network for Polyp Detection. International Conference on Medical Image Computing and Computer Assisted Intervention 2018 (MICCAI-18), Granada, Spain. |
2. Deep 3D Dose Analysis for Prediction of Outcomes After Liver Stereotactic Body Radiation Therapy. International Conference on Medical Image Computing and Computer Assisted Intervention 2018 (MICCAI-18), Granada, Spain. |
3. Liver Lesion Detection based on Two-Stage Saliency Model with Modified Sparse Autoencoder. International Conference on Medical Image Computing and Computer Assisted Intervention 2017 (MICCAI-17), Quebec City, Canada. |
4. A Novel Global and Local Saliency Coding Method for Polyp Recognition in WCE Videos. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS-16), Daejeon, Korea. |
5. Weighted Locality-Constrained Linear Coding for Lesion Classication in CT Images. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC-15), Milano, Italy. |
6. Automatic Bleeding Frame Detection in the Wireless Capsule Endoscopy Images. IEEE International Conference on Robotics and Automation (ICRA-15), Seattle, United States. |
7. A Novel Feature for Polyp Detection in Wireless Capsule Endoscopy images. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS-14), Chicago, United States. |
8. Polyp Classification Based on Bag of Features and Saliency in Wireless Capsule Endoscopy. IEEE International Conference on Robotics and Automation (ICRA-14), Hong Kong. |
9. Hierarchical Key Frames Extraction For WCE Video. IEEE International Conference on Mechatronic and Automation (ICMA-13), Takamatsu, Japan. |
10. Assessing Graph Models for Description of Brain Networks. IEEE International Symposium on Biomedical Imaging (ISBI-11), Chicago, United States. |
11. Ventricle Shape Analysis for Centenarians, Elderly Subjects, MCI and AD Patients. International Conference on Multimodal Brain Image Analysis (MBIA-11), Toronto, Canada. |
12. Joint Analysis of Cortical Folding Pattern, Thickness and FBER Density Using Structural and DTI Data. IEEE International Symposium on Biomedical Imaging (ISBI-10), Rotterdam, Netherlands. |
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