PUBLICATIONS

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Book Chapter

1. Xiao Jia, Xiaohan Xing, Yixuan Yuan, Max Q.-H. Meng, Deep learning-driven models for endoscopic image analysis. Advances in Artificial Intelligence, Computation, and Data Science, PP:271-300, 2021.

2. Yixuan Yuan, Max Q.-H. Meng, CAD of GI Diseases with Capsule Endoscopy. Computer-aided Diagnosis and Therapy: Emerging Techniques for Medical Image Analysis and Applications, PP:285-301, 2017.

2024

Journal

1. Hanke Feng, Tong Ge, Xiaoqing Guo, Benshan Wang, Yiwen Zhang, Zhaoxi Chen, Sha Zhu, Ke Zhang, Wenzhao Sun, Chaoran Huang, Yixuan Yuan, Cheng Wang, Integrated Lithium Niobate Microwave Photonic Processing Engine. Nature, 627:80-87, 2024. (Impact Factor: 64.8)

2. Xiaoqing Guo, Jie Liu, Yixuan Yuan, Infproto-powered Adaptive Classifier and Agnostic Feature Learning for Single Domain Generalization in Medical Images. International Journal of Computer Vision (IJCV), 2024.

3. Pengyu Wang, Huaqi Zhuang, Yixuan Yuan, MCPL: Multi-modal Collaborative Prompt Learning for Medical Vision-Language Model. IEEE Transactions on Medical Imaging (TMI), DOI: 10.1109/TMI.2024.3418408, 2024.

4. Wenting Chen, Jie Liu, Tommy W.S. Chow, Yixuan Yuan, STAR-RL: Spatial-temporal Hierarchical Reinforcement Learning for Interpretable WSI Super-Resolution. IEEE Transactions on Medical Imaging (TMI), 2024.

5. Pengyu Wang, Huaqi Zhuang, Meilu Zhu, Xi Jiang, Jing Qin, Yixuan Yuan, MGIML: Cancer Grading with Incomplete Radiology-Pathology Data via Memory Learning and Gradient Homogenization. IEEE Transactions on Medical Imaging (TMI), 43(6):2113-2124, 2024. (Impact Factor: 10.6) Code

6. Yuanyuan Chen, Xiaoqing Guo, Yong Xia, Yixuan Yuan, Disentangle Then Calibrate with Gradient Guidance: A Unified Framework for Common and Rare Disease Diagnosis. IEEE Transactions on Medical Imaging (TMI), 43(5):1816-1827, 2024.

7. Meilu Zhu, Jing Liao, Jun Liu, Yixuan Yuan, FedOSS: Federated Open Set Recognition via Inter-client Discrepancy and Collaboration. IEEE Transactions on Medical Imaging (TMI), 43(1):190-202, 2024. Code

8. Xiaohan Xing, Meilu Zhu, Zhen Chen, Yixuan Yuan, Comprehensive Learning and Adaptive Teaching: Distilling Multi-modal Knowledge for Pathological Glioma Grading. Medical Image Analysis (MedIA) 91:102990, 2024. (Impact Factor: 10.9) Code

9. Wenting Chen, Wei Zhao, Zhen Chen, Tianming Liu, Li Liu, Jun Liu, Yixuan Yuan, Mask-Aware Transformer with Structure Invariant Loss for CT Translation. Medical Image Analysis (MedIA) 91:102990, 2024. (Impact Factor: 10.9)

10. Zhenxiang Xiao, Yuzhong Chen, Junjie Yao, Lu Zhang, Zhengliang Liu, Zihao Wu, Xiaowei Yu, Yi Pan, Lin Zhao, Chong Ma, Xinyu Liu, Wei Liu, Xiang Li, Yixuan Yuan, Dinggang Shen, Dajiang Zhu, Dezhong Yao, Tianming Liu, Xi Jiang. Instruction-ViT: Multi-modal Prompts for Instruction Learning in Vision Transformer. Information Fusion, 104:102204, 2024. (Impact Factor: 18.6)

Conference

1. Wenting Chen, Linlin Shen, Jingyang Lin, Jiebo Luo, Xiang Li, Yixuan Yuan, Fine-Grained Image-Text Alignment in Medical Imaging Enables Explainable Cyclic Image-Report Generation. The 62nd Annual Meeting of the Association for Computational Linguistics (ACL-24), Bangkok, Thailand.

2. Wuyang Li, Xinyu Liu, Jiayi Ma, Yixuan Yuan, CLIFF: Continual Latent Diffusion for Open-Vocabulary Object Detection. The 18th European Conference on Computer Vision (ECCV-2024), Milano, Italy.

3. Chenxin Li, Xinyu Liu, Cheng Wang, Yifan Liu, Weihao Yu, Jing Shao, Yixuan Yuan, Unifying Multimodal Biomedical Representation via Modality-prompted Heterogeneous Graph Learning. The 18th European Conference on Computer Vision (ECCV-2024), Milano, Italy.

4. Yifan Liu, Wuyang Li, Cheng Wang, Hui Chen, Yixuan Yuan, When 3D Partial Points Meets SAM: Tooth Point Cloud Segmentation with Sparse Labels. International Conference on Medical Image Computing and Computer Assisted Intervention 2024 (MICCAI-24), Marrakesh, Morocco. (Early Accept)

5. Xinyu Liu, Zhen Chen, Yixuan Yuan, MOST: Multi-Formation Soft Masking for Semi-Supervised Medical Image Segmentation. International Conference on Medical Image Computing and Computer Assisted Intervention 2024 (MICCAI-24), Marrakesh, Morocco. (Early Accept)

6. Pengyu Wang, Huaqi Zhang, Zhibin He, Zhihao Peng, Yixuan Yuan, fTSPL: Enhancing Brain Analysis with fMRI-Text Synergistic Prompt Learning. International Conference on Medical Image Computing and Computer Assisted Intervention 2024 (MICCAI-24), Marrakesh, Morocco. (Early Accept)

7. Meilu Zhu, Qiushi Yang, Zhifan Gao, Jun Liu, Yixuan Yuan, Stealing Knowledge from Pre-trained Language Models for Federated Classifier Debiasing. International Conference on Medical Image Computing and Computer Assisted Intervention 2024 (MICCAI-24), Marrakesh, Morocco. (Early Accept)

8. Qi Zhang, Xiujian Liu, Heye Zhang, Chenchu Xu, Guang Yang, Yixuan Yuan, Tao Tan, Zhifan Gao, Variational Field Constraint Learning for Coronary Artery Ischemia Assessment. International Conference on Medical Image Computing and Computer Assisted Intervention 2024 (MICCAI-24), Marrakesh, Morocco. (Early Accept)

9. Chenxin Li, Hengyu Liu, Yifan Liu, Brandon Y.Feng, Wuyang Li, Xinyu Liu, Zhen Chen, Jing Shao, Yixuan Yuan, Endora: Video Generation Models as Endoscopy Simulators. International Conference on Medical Image Computing and Computer Assisted Intervention 2024 (MICCAI-24), Marrakesh, Morocco.

10. Chenxin Li, Brandon Y.Feng, Yifan Liu, Hengyu Liu, Cheng Wang, Weihao Yu, Yixuan Yuan, EndoSparse: Real-Time Sparse View Synthesis of Endoscopic Scenes using Gaussian Splatting. International Conference on Medical Image Computing and Computer Assisted Intervention 2024 (MICCAI-24), Marrakesh, Morocco.

11. Zhihao Peng, Zhibin He, Yu Jiang, Pengyu Wang, Yixuan Yuan, GBT: Geometric-oriented Brain Transformer for Autism Diagnosis. International Conference on Medical Image Computing and Computer Assisted Intervention 2024 (MICCAI-24), Marrakesh, Morocco.

12. Yu Jiang, Zhibin He, Zhihao Peng, Yixuan Yuan, Hierarchical Graph Learning with Small-World Brain Connectomes for Cognitive Prediction. International Conference on Medical Image Computing and Computer Assisted Intervention 2024 (MICCAI-24), Marrakesh, Morocco.

13. Zhibin He, Wuyang Li, Yu Jiang, Zhihao Peng, Pengyu Wang, Xiang Li, Tianming Liu, Junwei Han, Tuo Zhang, Yixuan Yuan, F2TNet: FMRI to T1w MRI Knowledge Transfer Network for Brain Multi-phenotype Prediction. International Conference on Medical Image Computing and Computer Assisted Intervention 2024 (MICCAI-24), Marrakesh, Morocco.

14. Xinyu Liu, Wuyang Li, Yixuan Yuan, DiffRect: Latent Diffusion Label Rectification for Semi-supervised Medical Image Segmentation. International Conference on Medical Image Computing and Computer Assisted Intervention 2024 (MICCAI-24), Marrakesh, Morocco.

15. Wuyang Li, Xinyu Liu, Qiushi Yang, Yixuan Yuan, From Static to Dynamic Diagnostics: Boosting Medical Image Analysis via Motion-Informed Generative Videos. International Conference on Medical Image Computing and Computer Assisted Intervention 2024 (MICCAI-24), Marrakesh, Morocco.

16. Wenting Chen, Pengyu Wang, Hui Ren, Lichao Sun, Quanzheng Li, Yixuan Yuan, Xiang Li, Medical Image Synthesis via Fine-Grained Image-Text Alignment and Anatomy-Pathology Prompting. International Conference on Medical Image Computing and Computer Assisted Intervention 2024 (MICCAI-24), Marrakesh, Morocco.

17. Hengyu Liu, Yifan Liu, Chenxin Li, Wuyang Li, Yixuan Yuan, LGS: A Light-weight 4D Gaussian Splatting for Efficient Surgical Scene Reconstruction. International Conference on Medical Image Computing and Computer Assisted Intervention 2024 (MICCAI-24), Marrakesh, Morocco.

2023

Journal

1. Wuyang Li, Xinyu Liu, Yixuan Yuan, SIGMA++: Improved Semantic-complete Graph Matching for Domain Adaptive Object Detection. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 45(7):9022-9040, 2023. (Impact Factor: 23.6) Code

2. Guo Xiaoqing, Jie Liu, Tongliang Liu, Yixuan Yuan, Handling Open-set Noise and Novel Target Recognition in Domain Adaptive Semantic Segmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 45(8):9846-9861, 2023. Code

3. Xinyu Liu, Baopu Li, Zhen Chen, Yixuan Yuan, Generalized Gradient Flow Based Saliency for Pruning Deep Convolutional Neural Networks. International Journal of Computer Vision (IJCV), 131(12):3121-3135, 2023. (Impact Factor: 19.5) Code

4. Yifan Zhang, Junhui Hou, Yixuan Yuan, GLENet: Boosting 3D Object Detectors with Generative Label Uncertainty Estimation. International Journal of Computer Vision (IJCV), 131(12):3332-3352, 2023. Code

5. Yifan Zhang, Qijian Zhang, Zhiyu Zhu, Junhui Hou, Yixuan Yuan, A Comprehensive Study of The Robustness for LiDAR-Based 3D Object Detectors Against Adversarial Attacks. International Journal of Computer Vision (IJCV), DOI: 10.1007/s11263-023-01934-3, 2023. Code

6. Yuanyuan Chen, Yongshen Pan, Yong Xia, Yixuan Yuan, Disentangle First, Then Distill: A Unified Framework for Missing Modality Imputation and Alzheimer's Disease Diagnosis. IEEE Transactions on Medical Imaging (TMI), 42(12):3566-3578, 2023. (Impact Factor: 10.6)

7. Yifan Liu, Wuyang Li, Jie Liu, Hui Chen, Yixuan Yuan, GRAB-Net: Graph-based Boundary-aware Network for Medical Point Cloud Segmentation. IEEE Transactions on Medical Imaging (TMI), 42(9):2776-2786, 2023. Code

8. Qiushi Yang, Zhen Chen, Yixuan Yuan, Hierarchical Bias Mitigation for Semi-Supervised Medical Image Classification. IEEE Transactions on Medical Imaging (TMI), 42(8):2200-2210, 2023. Code

9. Meilu Zhu, Zhen Chen, Yixuan Yuan, FedDM: Federated Weakly Supervised Segmentation via Annotation Calibration and Gradient De-conflicting. IEEE Transactions on Medical Imaging (TMI), 42(6):1632-1643, 2023. Code

10. Xiaohan Xing, Zhen Chen, Yuenan Hou, Yixuan Yuan, Gradient Modulated Contrastive Distillation of Low-Rank Multi-Modal Knowledge for Disease Diagnosis. Medical Image Analysis (MedIA), 2023. (Impact Factor: 10.9) Code

11. Zhen Chen, Wuyang Li, Xiaohan Xing, Yixuan Yuan, Medical Federated Learning with Joint Graph Purification for Noisy Label Learning. Medical Image Analysis (MedIA), 90:102976, 2023. Code

12. Yuanyuan Chen, Xiaoqing Guo, Yongsheng Pan, Yong Xia, Yixuan Yuan, Dynamic Feature Splicing for Few-Shot Rare Disease Diagnosis. Medical Image Analysis (MedIA), 90:102959, 2023.

13. Xinyu Liu, Wuyang Li, Yixuan Yuan, Decoupled Unbiased Teacher for Source-free Domain Adaptive Medical Object Detection. IEEE Transactions on Neural Networks and Learning Systems (TNNLS), DOI: 10.1109/TNNLS.2023.3272389, 2023. (Impact Factor: 10.4) Code

14. Xiaochun Mai, Meilu Zhu, Yixuan Yuan, CMCNet: Colorization-Aware Mix-Uncertainty-Adaptive Consistency Network for Semi-Supervised Fruit Counting. IEEE Transactions on Automation Science and Engineering (TASE), DOI: 10.1109/TASE.2023.3318008, 2023. (Impact Factor: 5.6)

Conference

1. Wuyang Li, Jie Liu, Bo Han, Yixuan Yuan, Adjustment and Alignment for Unbiased Open Set Domain Adaptation. IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR-23), Vancouver, Canada. Code

2. Xinyu Liu, Houwen Peng, Ningxin Zheng, Yuqing Yang, Han Hu, Yixuan Yuan, EfficientViT: Memory Efficient Vision Transformer with Cascaded Group Attention. IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR-23), Vancouver, Canada. Code

3. Xiaohan Xing, Zhen Chen, Zhifan Gao, Yixuan Yuan, 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. Chen Yang, Yifan Liu, Yixuan Yuan, 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. Zhibin He, Wuyang Li, Tuo Zhang, Yixuan Yuan, 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. Baihong Xie, Xiujian Liu, Heye Zhang, Chenchu Xu, Tieyong Zeng, Yixuan Yuan, Guang Yang, Zhifan Gao, 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. Wuyang Li, Xiaoqing Guo, Yixuan Yuan, Novel Scenes & Classes: Towards Adaptive Open-set Object Detection. International Conference on Computer Vision 2023 (ICCV-23, ORAL), Paris, France. Code

8. Qiushi Yang, Wuayng Li, Baopu Li, Yixuan Yuan, MRM: Masked Relation Modeling for Medical Image Pre-Training with Genetics. International Conference on Computer Vision 2023 (ICCV-23), Paris, France. Code

9. Chen Yang, Meilu Zhu, Yifan Liu, Yixuan Yuan, FedPD: Federated Open Set Recognition with Parameter Disentanglement. International Conference on Computer Vision 2023 (ICCV-23), Paris, France. Code

10. Jie Liu, Yixiao Zhang, Jie-Neng Chen, Junfei Xiao, Yongyi Lu, Yixuan Yuan, Alan Yuille, Yucheng Tang, Zongwei Zhou, CLIP-Driven Universal Model for Organ Segmentation and Tumor Detection. International Conference on Computer Vision 2023 (ICCV-23), Paris, France. Code

11. Yifan Zhang, Qijian Zhang, Junhui Hou, Yixuan Yuan, Guoliang Xing, 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. Yiwen Luo, Yixuan Yuan, Semantic-guided unknown-aware Rare Disease Diagnosis. International Conference on Bioinformatics and Biomedicine (BIBM-23), Istanbul, Turkey. Code

13. Li Yang, Songyao Zhang, Weihan Zhang, Jingchao Zhou, Tianyang Zhong, Yaonai Wei, Xi Jiang, Tianming Liu, Junwei Han, Yixuan Yuan, Tuo Zhang, 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.

2022

Journal

1. Zhen Chen, Meilu Zhu, Chen Yang, Zhe Peng, Yixuan Yuan, 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. Qiushi Yang, Xiaoqing Guo, Zhen Chen, Peter Y. M. Woo, Yixuan Yuan, 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. Xinyu Liu, Yixuan Yuan, 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. Chen Yang, Xiaoqing Guo, Zhen Chen, Yixuan Yuan, 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. Zhen Chen, Jie Liu, Meilu Zhu, Peter Y. M. Woo, Yixuan Yuan, Instance Importance-Aware Graph Convolutional Network for 3D Medical Diagnosis. Medical Image Analysis (MedIA), 78:102421, 2022. Code

6. Xiaoqing Guo, Zhen Chen, Jun Liu, Yixuan Yuan, Non-equivalent Images and Pixels: Confidence-aware Resampling with Meta-learning Mixup for Polyp Segmentation. Medical Image Analysis (MedIA), 78:102394, 2022.

7. Chunwei Tian, Yanning Zhang, Wangmeng Zuo, Chia-Wen Lin, David Zhang, Yixuan Yuan, 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. Wenting Chen, Yifan Liu, Jiancong Hu, Yixuan Yuan, 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. Wuyang Li, Xinyu Liu, Yixuan Yuan, 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. Linshan Jia, Tommy W. S. Chow, Yu Wang, Yixuan Yuan, 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. Chunwei Tian, Yixuan Yuan, Shichao Zhang, Chia-Wen Lin, Wangmeng Zuo, David Zhang, Image Super-Resolution with An Enhanced Group Convolutional Neural Network. Neural Networks, 153:373-385, 2022. (Impact Factor: 7.8) Code

Conference

1. Wuyang Li, Xinyu Liu, Yixuan Yuan, 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. Xiaoqing Guo, Jie Liu, Tongliang Liu, Yixuan Yuan, 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. Xinyu Liu, Wuyang Li, Qiushi Yang, Baopu Li, Yixuan Yuan, Towards Robust Adaptive Object Detection under Noisy Annotations. IEEE Conference on Computer Vision and Pattern Recognition (CVPR-22), New Orleans, Louisiana. Code

4. Yiming Zeng, Yue Qian, Qijian Zhang, Junhui Hou, Yixuan Yuan, Ying He, 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. Chaowei Fang, Liang Wang, Jun Xu, Yixuan Yuan, Dingwen Zhang, Junwei Han, 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. Xinyu Liu, Wuyang Li, Yixuan Yuan, 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. Xiaohan Xing, Zhen Chen, Meilu Zhu, Yuenan Hou, Zhifan Gao, Yixuan Yuan, 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. Yifan Liu, Jie Liu, Yixuan Yuan, 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. Yuanyuan Chen, Xiaoqing Guo, Yong Xia, Yixuan Yuan, 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. Xiaoqing Guo, Yixuan Yuan, 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. Qiushi Yang, Xinyu Liu, Zhen Chen, Bulat Ibragimov, Yixuan Yuan, 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. Wuyang Li, Xinyu Liu, Xiwen Yao, Yixuan Yuan, SCAN: Cross Domain Object Detection with Semantic Conditioned Adaptation. AAAI Conference on Artificial Intelligence (AAAI-22, ORAL), Virtual Conference. Code

13. Jie Liu, Xiaoqing Guo, Yixuan Yuan, Unknown-Oriented Learning for Open Set Domain Adaptation. European Conference on Computer Vision (ECCV-22), Tel Aviv. Code

2021

Journal

1. Xiaoqing Guo, Jie Liu, Yixuan Yuan, Semantic-oriented Labeled-to-unlabeled Distribution Translation for Image Segmentation. IEEE Transactions on Medical Imaging (TMI), 41(2):434-445, 2021. (Impact Factor: 10.6) Code 知乎

2. Jie Liu, Xiaoqing Guo, Yixuan Yuan, Graph-based Surgical Instrument Adaptive Segmentation via Domain-Common Knowledge. IEEE Transactions on Medical Imaging (TMI), 41(3):715-726, 2021. Code

3. Meilu Zhu, Zhen Chen, Yixuan Yuan, DSI-Net: Deep Synergistic Interaction Network for Joint Classification and Segmentation with Endoscope Images. IEEE Transactions on Medical Imaging (TMI), 40(12):3315-3325, 2021. Code

4. Zhen Chen, Xiaoqing Guo, Peter Y. M. Woo, Yixuan Yuan, Super-Resolution Enhanced Medical Image Diagnosis with Sample Affinity Interaction. IEEE Transactions on Medical Imaging (TMI), 40(5):1377-1389, 2021. Code

5. Xiaoqing Guo, Chen Yang, Yajie Liu, Yixuan Yuan, Learn to Threshold: ThresholdNet with Confidence-Guided Manifold Mixup for Polyp Segmentation. IEEE Transactions on Medical Imaging (TMI), 40(4):1134-1146, 2021. Code

6. Xinyu Liu, Xiaoqing Guo, Yajie Liu, Yixuan Yuan, Consolidated Domain Adaptive Detection and Localization Framework for Cross-device Colonoscopic Images. Medical Image Analysis (MedIA), 71, 102052, 2021. (Impact Factor: 10.9) Code Video

7. Xiaoqing Guo, Chen Yang, Yixuan Yuan, Dynamic-weighting Hierarchical Segmentation Network for Medical Images. Medical Image Analysis (MedIA), 73, 102196, 2021. Code

8. Wuyang Li, Zhen Chen, Baopu Li, Dingwen Zhang, Yixuan Yuan, HTD: Heterogeneous Task Decoupling for Two-stage Object Detection. IEEE Transactions on Image Processing (TIP), 30:9456-9469, 2021. (Impact Factor: 10.6) Code

9. Chen Yang, Xiaoqing Guo, Meilu Zhu, Bulat Ibragimov, Yixuan Yuan, Mutual-Prototype Adaptation for Cross-Domain Polyp Segmentation. IEEE Journal of Biomedical and Health Informatics (JBHI), 25(10):1134-1146, 2021. (Impact Factor: 7.7) Code

10. Yuxuan Liu, Yixuan Yuan, Ming Liu, Ground-aware Monocular 3D Object Detection for Autonomous Driving. IEEE Robotics and Automation Letters (RA-L), 6(2):919-926, 2021. (Impact Factor: 5.2) Code

11. Rui Liu, Mingmei Wang, Min Wang, Jianqin Yin, Yixuan Yuan, Ming Liu, Automatic microscopy analysis with transfer learning for classification of human sperm. Applied Sciences, 11(12):5369, 2021. (Impact Factor: 2.7)

Conference

1. Xiaoqing Guo, Chen Yang, Baopu Li, Yixuan Yuan, 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. Zhen Chen, Jun Zhang, Shuanlong Che, Junzhou Huang, Xiao Han, Yixuan Yuan, 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. Xinyu Liu, Baopu Li, Zhen Chen, Yixuan Yuan, Exploring Gradient Flow Based Saliency for DNN Model Compression. ACM International Conference on Multimedia (MM-21), Chengdu, China. Code

4. Zhen Chen, Meilu Zhu, Chen Yang, Yixuan Yuan, 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. Jie Liu, Xiaoqing Guo, Yixuan Yuan, 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. Xiaohan Xing, Yuenan Hou, Hang Li, Yixuan Yuan*, Hongsheng Li, Max Q.-H. Meng*, 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. Jie Liu, Xiaoqing Guo, Baopu Li, Yixuan Yuan, 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. Min WANG, Kwan YI Leung, Liu Rui, Shuang Song, Jianqin Yin, Yixuan Yuan, Max Q.-H. Meng, Jun Liu, Dynamic Tracking of Microrobot with Active Magnetic Sensor Array. IEEE International Conference on Robotics and Automation (ICRA-21), Xi'an, China.

9. Wuyang Li, Chen Yang, Jie Liu, Xinyu Liu, Xiaoqing Guo, Yixuan Yuan, 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

2020

Journal

1. Xiaohan Xing, Yixuan Yuan, Q.-H. Meng, Zoom in Lesions for Better Diagnosis: Attention Guided Deformation Network for WCE Image Classification. IEEE Transactions on Medical Imaging (TMI), 39(2):4047-4059, 2020. (Impact Factor: 10.6) Code

2. Xiaoqing Guo, Yixuan Yuan, Semi-supervised WCE Image Classification with Adaptive Aggregated Attention. Medical Image Analysis (MedIA), 64, 101733, 2020. (Impact Factor: 10.9) Code

3. Yixuan Yuan, Wenjian Qin, Bulat Ibragimov, Guanglei Zhang, Bin Han, Max Q.-H. Meng, Lei Xing, Densely Connected Neural Network with Unbalanced Discriminant and Category Sensitive Constraints for Polyp Recognition. IEEE Transactions on Automation Science and Engineering (TASE), 17(2):574-583, 2020. (Impact Factor: 5.6)

4. Xiao Jia, Xiaochun Mai, Yi Cui, Yixuan Yuan, Xiaohan Xing, Hyunseok Seo, Lei Xing, Max Q.-H. Meng, Automatic Polyp Recognition in Colonoscopy Images Using Deep Learning and Two-Stage Pyramidal Feature Prediction. IEEE Transactions on Automation Science and Engineering (TASE), 17(3):1570-1584, 2020.

5. Bulat Ibragimov, Diego AS Toesca, Daniel T Chang, Yixuan Yuan, Albert C Koong, Lei Xing, Automated Hepatobiliary Toxicity Prediction After Liver Stereotactic Body Radiation Therapy with Deep Learning-Based Portal Vein Segmentation. Neurocomputing, 392:181-188, 2020. (Impact Factor: 6.0)

6. Yuqi Fang, Delong Zhu, Jianhua Yao, Yixuan Yuan*, Kai-yu Tong*, ABC-Net: Area-Boundary Constraint Network with Dynamical Feature Selection for Colorectal Polyp Segmentation. IEEE Sensors Journal (IEEE SENS J), 21(10):11799-11809, 2020. (Impact Factor: 4.3)

7. Bulat Ibragimov, Diego AS Toesca, Daniel T Chang, Yixuan Yuan, Albert C Koong, Lei Xing, Ivan R. Vogelius, Deep Learning for Identification of Critical Regions Associated with Toxicities After Liver Stereotactic Body Radiation Therapy. Medical Physics (MED PHYS), 47(8):3721-3731, 2020. (Impact Factor: 3.8)

8. M. Kholiavchenko, I. Sirazitdinov, K. Kubrak, R. Badrutdinova, R. Kuleev, Yixuan Yuan, T. Vrtovec, Bulat Ibragimov, Contour-Aware Multi-Label Chest X-Ray Organ Segmentation. International Journal of Computer Assisted Radiology and Surgery (IJCARS), 15:425-436, 2020. (Impact Factor: 3.0)

Conference

1. Zhen Chen, Xiaoqing Guo, Chen Yang, Bulat Ibragimov, Yixuan Yuan, 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. Qiushi Yang, Yixuan Yuan, 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. Xiaohan Xing, Yixuan Yuan*, Q.-H. Meng*, 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. Xiaoqing Guo, Zhen Chen, Yixuan Yuan, Complementary Network with Adaptive Receptive Fields for Melanoma Segmentation. IEEE International Symposium on Biomedical Imaging 2020 (ISBI-20), Iowa City, USA. Code.

5. Wenjian Qin, Zhibo Xiao, Yaoqin Xie, Yixuan Yuan, 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.

2019

Journal

1. Xiao Jia*, Xiaohan Xing*, Yixuan Yuan*, Lei Xing, Max Q.-H. Meng, 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. Bulat Ibragimov, Diego AS Toesca, Yixuan Yuan, Albert C Koong, Daniel T Chang, Lei Xing, 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. Sirazitdinov Ilyas, Kholiavchenko Maksym, Mustafaev Tamerlan, Yixuan Yuan*, Kuleev Ramil, Ibragimov, Bulat, 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. Jian Liu, Jingjing Cui, Fei Liu, Yixuan Yuan, Feng Guo, Guanglei Zhang, 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. Yixuan Yuan, Wenjian Qin, Mark Buyyounouski, Bulat Ibragimov, Steve Hancock, Bin Han, Lei Xing, Prostate Cancer Classification with Multi-parametric MRI Transfer Learning Model. Medical Physics (MED PHYS), 46(2):765-756, 2019.

6. Hui Liu, Haiou Wang, Yixuan Yuan, Caiming Zhang, 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)

Conference

1. Xiaoqing Guo, Yixuan Yuan, 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. Yuqi Fang, Cheng Chen, Yixuan Yuan*, Kai Yu Raymond TONG*, 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. Xiaoqing Guo, Chen Yang, Pak Lun Lam, Peter YM Woo, Yixuan Yuan, Domain Knowledge Based Brain Tumor Segmentation and Overall Survival Prediction. MICCAI-19 Brainlesion Workshop. Springer, Cham, 2019. Code.

4. Yixuan Yuan, Wenjian Qin, Xiaoqing Guo, Buyyounouski Mark, Steve Hancock, Lei Xing, Prostate Segmentation with Encoder-Decoder Densely Connected Convolutional Network (ED-DenseNet). IEEE International Symposium on Biomedical Imaging 2019 (ISBI-19), Venice, Italy.

5. Xiaohan Xing, Yixuan Yuan*, Xiao Jia, Max Q.-H. Meng*, 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.

Before 2019

Journal

1. Yixuan Yuan, Dengwang Li, Max Q.-H. Meng, 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. Yixuan Yuan, Wenjian Qin, Mark Buyyounouski, Steve Hancock, Bagshaw HP, Bin Han, Lei Xing, 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. Bin Han, Yixuan Yuan, Steve Hancock, Bagshaw HP, Mark Buyyounouski, Lei Xing, 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. Bulat Ibragimov, Diego Toesca, Daniel Chang, Yixuan Yuan, Albert Koong, Lei Xing, 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. Bulat Ibragimov, Yixuan Yuan, Diego Toesca, Daniel Chang, Albert Koong, Lei Xing, 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. Wenjian Qin, Jia Wu, Fei Han, Yixuan Yuan, Wei Zhao, Bulat Ibragimov, Jia Gu, Lei Xing, 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. Yixuan Yuan, Xiwen Yao, Junwei Han, Lei Guo, Max Q.-H. Meng, 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. Yixuan Yuan, Max Q.-H Meng, 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. Yixuan Yuan, Baopu Li, Max Q.-H Meng, 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. Yixuan Yuan, Baopu Li, Max Q.-H Meng, 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. Yixuan Yuan, Baopu Li, Max Q.-H Meng, 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. Yixuan Yuan, Jiaole Wang, Baopu Li, Max Q.-H Meng, 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. Yixuan Yuan, Max Q.-H Meng, 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. Yixuan Yuan, Xi Jiang, Dajiang Zhu, Hanbo Chen, Kaiming Li, Peili Lv, Xiang Yu, Xiaojin Li, Shu Zhang, Tuo Zhang, Xintao Hu, Junwei Han, Lei Guo, Tianming Liu, Meta-Analysis of Functional Roles of DICCCOLs. Neuroinformatics, 11(1):47-63, 2013. (Impact Factor: 3.4)

15. Hanbo Chen, Kaiming Li, Dajiang Zhu, Xi Jiang, Yixuan Yuan and Peili Lv, Tuo Zhang, Lei Guo, Dinggang Shen, Tianming Liu, 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. Dajiang Zhu, Kaiming Li, Lei Guo, Xi Jiang, Tuo Zhang, Degang Zhang, Hanbo Chen, Fan Deng, Carlos Faraco, Changfeng Jin, Chong-Yaw Wee, Yixuan Yuan, Peili Lv, Yan Yin, Xiaolei Hu, Lian Duan, Xintao Hu, Junwei Han, Lihong Wang, Dinggang Shen, L Stephen Miller, Lingjiang Li, Tianming Liu, DICCCOL: Dense Individualized and Common Connectivity-based Cortical Landmarks. Cerebral Cortex (Cereb Cortex), 23(4):786-800, 2013. (Impact Factor: 3.7)

17. Kaiming Li, Lei Guo, Carlos Faraco, Dajiang Zhu, Hanbo Chen, Yixuan Yuan Jinglei Lv, Fan Deng, Xi Jiang, Tuo Zhang, Xintao Hu, Degang Zhang, L. Stephen Miller, Tianming Liu, Visual analytics of brain networks. NeuroImage, 61(1):82-97, 2012. (Impact Factor: 5.7)

18. Jingxin Nie, Lei Guo, Kaiming Li, Yonghua Wang, Guojun Chen, Longchuan Li, Hanbo Chen, Fan Deng, Xi Jiang, Tuo Zhang, Ling Huang, Carlos Faraco, Degang Zhang, Cong Guo, Pew Thian Yap, Xintao Hu, Gang Li, Jinglei Lv, Yixuan Yuan, Dajiang Zhu, Junwei Han, Dean Sabatinelli, Qun Zhao, L Stephen Miller, Bingqian Xu, Ping Shen, Simon Platt, Dinggang Shen, Xiaoping Hu, Tianming Liu, Axonal Fiber Terminations Concentrate on Gyri. Cerebral Cortex (Cereb Cortex), 22(12): 2831-2839, 2012. (Impact Factor: 3.7)

Conference

1. Yixuan Yuan, Wenjian Qin, Bulat Ibragimov, Bin Han, Lei Xing, 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. Bulat Ibragimov, Diego AS Toesca, Yixuan Yuan, Albert C Koong, Daniel T Chang, Lei Xing, 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. Yixuan Yuan, Max Q.-H Meng, Wenjian Qin, Lei Xing, 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. Yixuan Yuan, Max Q.-H Meng, 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. Yixuan Yuan, Assaf Hoogi, Christopher F. Beaulieu, Max Q.-H. Meng and Daniel L. Rubin, 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. Yixuan Yuan, Max Q.-H. Meng, Automatic Bleeding Frame Detection in the Wireless Capsule Endoscopy Images. IEEE International Conference on Robotics and Automation (ICRA-15), Seattle, United States.

7. Yixuan Yuan, Max Q.-H. Meng, 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. Yixuan Yuan, Max Q.-H Meng, 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. Yixuan Yuan, Max Q.-H Meng, Hierarchical Key Frames Extraction For WCE Video. IEEE International Conference on Mechatronic and Automation (ICMA-13), Takamatsu, Japan.

10. Yixuan Yuan, Lei Guo, Peili Lv, Xintao Hu, Degang Zhang, Junwei Han, Li Xie, Tianming Liu, Assessing Graph Models for Description of Brain Networks. IEEE International Symposium on Biomedical Imaging (ISBI-11), Chicago, United States.

11. Zhaojin Gong, Jianfeng Lu, Jia Chen, Yaping Wang, Yixuan Yuan, Tuo Zhang, Lei Guo, L. Stephen Miller, Ventricle Shape Analysis for Centenarians, Elderly Subjects, MCI and AD Patients. International Conference on Multimodal Brain Image Analysis (MBIA-11), Toronto, Canada.

12. Yixuan Yuan, Lei Guo, Gang Li, Tuo Zhang, Xintao Hu, Tianming Liu, 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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