PUBLICATIONS


Book Chapter

1. Yixuan Yuan, Max Q.-H. Meng, CAD of GI Diseases with Capsule Endoscopy. Medical Image Analysis and Informatics: Computer-Aided Diagnosis and Therapy, CRC press, PP:285-299, 2018.

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), 2023. 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), 2023.
3. Meilu Zhu, Zhen Chen, Yixuan Yuan, FedDM: Federated Weakly Supervised Segmentation via Annotation Calibration and Gradient De-conflicting. IEEE Transactions on Medical Imaging (TMI), 2023. Code
4. Qiushi Yang, Zhen Chen, Yixuan Yuan, Hierarchical Bias Mitigation for Semi-Supervised Medical Image Classification. IEEE Transactions on Medical Imaging (TMI), 2023.

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).
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).
3. Yifan Zhang, Qijian Zhang, Junhui Hou, Yixuan Yuan, Guoliang Xing, Bidirectional Propagation for Cross-Modal 3D Object Detection. The International Conference on Learning Representations (ICLR-23).

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. 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. 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, 2022. Code
5. 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, 2022. Code 知乎
6. 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
7. 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.
8. Chen Yang, Xiaoqing Guo, Zhen Chen, Yixuan Yuan, Source Free Domain Adaptation for Medical Image Segmentation with Fourier Style Mining. Medical Image Analysis (MedIA), 102457, 2022. Code
9. Wenting Chen, Yifan Liu, Jiancong Hu, Yixuan Yuan, Dynamic Depth-Aware Network for Endoscopy Super-Resolution. IEEE Journal of Biomedical and Health Informatics (JBHI), 2022.
10. Wuyang Li, Xinyu Liu, Yixuan Yuan, SCAN++: Enhanced Semantic Conditioned Adaptation for Domain Adaptive Object Detection. IEEE Transactions on Multimedia (TMM), 2022.
11. 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), 2022.
12. 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.
13. 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),2022.

Conference

1. Wuyang Li, Xinyu Liu, Xiwen Yao, Yixuan Yuan, SCAN: Cross Domain Object Detection with Semantic Conditioned Adaptation. The Thirty-six AAAI Conference on Artificial Intelligence (AAAI-22, ORAL). Code
2. 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). Code 知乎
3. 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). Code 知乎
4. 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). Code
5. 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).
6. Chaowei Fang, Liang Wang, Jun Xu, Yixuan Yuan, Dingwen Zhang, Junwei Han, Incremental Cross-View Mutual Distillation for Unsupervised Medical CT Synthesis. IEEE Conference on Computer Vision and Pattern Recognition (CVPR-22).
7. Jie Liu, Xiaoqing Guo, Yixuan Yuan, Unknown-Oriented Learning for Open Set Domain Adaptation. The 17th European Conference on Computer Vision (ECCV-2022).
8. Yifan Liu, Jie Liu, Yixuan Yuan, Edge-oriented Point-cloud Transformer for 3D Intracranial Aneurysm Segmentation. The 25th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2022), Singapore. (Early Accept) Code
9. Xinyu Liu, Wuyang Li, Yixuan Yuan, Intervention & Interaction Federated Abnormality Detection with Noisy Clients. The 25th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2022), Singapore. (Early Accept) (MICCAI 2022 Student Travel Award, ORAL) Code
10. Xiaohan Xing, Zhen Chen, Meilu Zhu, Yuenan Hou, Zhifan Gao, Yixuan Yuan, Discrepancy and Gradient-guided Multi-modal Knowledge Distillation for Pathological Glioma Grading. The 25th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2022), Singapore. (Early Accept, ORAL)
11. Yuanyuan Chen, Xiaoqing Guo, Yong Xia, Yixuan Yuan, Disentangle then Calibrate: Selective Treasure Sharing for Generalized Rare Disease Diagnosis. The 25th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2022), Singapore. (Early Accept)
12. Xiaoqing Guo, Yixuan Yuan, Joint Class-Affinity Loss Correction for Robust Medical Image Segmentation with Noisy Labels. The 25th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2022), Singapore. Code
13. Qiushi Yang, Xinyu Liu, Zhen Chen, Bulat Ibragimov, Yixuan Yuan, Semi-Supervised Medical Image Classification with Temporal Knowledge-Aware Regularization. The 25th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2022), Singapore. Code

2021

1. 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. Code
2. 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
3. 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
4. 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
5. Xiaoqing Guo, Chen Yang, Yixuan Yuan, Dynamic-weighting Hierarchical Segmentation Network for Medical Images. Medical Image Analysis (MedIA), 73, 102196, 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. Code Video
7. 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. Code
8. Peter YM Woo, Desiree KK Wong, Yixuan Yuan, Xiaoqing Guo, Michael KW See, Matthew Tam, Alain KS Wong, Kwong-Yau Chan, A Morphometric Analysis of Commonly Used Craniometric Approaches for Freehand Ventriculoperitoneal Shunting. Operative Neurosurgery, 22(2):51-60, 2021.
9. 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). Code Video
10. 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. The Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI-21). Code
11. Xinyu Liu, Baopu Li, Zhen Chen, Yixuan Yuan, Exploring Gradient Flow Based Saliency for DNN Model Compression. The 29th ACM International Conference on Multimedia (ACM MM 2021), Chengdu, China. Code
12. Zhen Chen, Meilu Zhu, Chen Yang, Yixuan Yuan, Personalized Retrogress-Resilient Framework for Real-World Medical Federated Learning. The 24th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2021), Strasbourg, France. (Early Accept) (MICCAI 2021 Student Travel Award) Code
13. Jie Liu, Xiaoqing Guo, Yixuan Yuan, Prototypical Interaction Graph for Unsupervised Domain Adaptation in Surgical Instrument Segmentation. The 24th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2021), Strasbourg, France. (Early Accept) Code Video
14. Xiaohan Xing, Yuenan Hou, Hang Li, Yixuan Yuan*, Hongsheng Li, Max Q.-H. Meng*, Categorical Relation-Preserving Contrastive Knowledge Distillation for Medical Image Classification. The 24th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2021), Strasbourg, France. Code
15. 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 2021), Prague, Czech Republic.
16. 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).
17. Yuxuan Liu, Yixuan Yuan, Ming Liu, Ground-aware Monocular 3D Object Detection for Autonomous Driving. IEEE Robotics and Automation Letters (RA-L) and ICRA 21.
18. 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)

2020

1. Xiaoqing Guo, Yixuan Yuan, Semi-supervised WCE Image Classification with Adaptive Aggregated Attention. Medical Image Analysis (MedIA), 64, 101733, 2020. Code
2. 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. Code
3. 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 (PIEEE), 108(1):178-197, 2020. (* indicates equal contribution)
4. 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.
5. 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, 2020.
6. 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.
7. 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.
8. 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.
9. 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, 47(8):3721-3731, 2020.
10. Zhen Chen, Xiaoqing Guo, Chen Yang, Bulat Ibragimov, Yixuan Yuan, Joint Spatial-Wavelet Dual-Stream Network for Super-Resolution. The 22nd International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2020), Lima, Peru. (Early Accept) Code.
11. 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 2020), Las Vegas, USA.
12. Xiaoqing Guo, Zhen Chen, Yixuan Yuan, Complementary Network with Adaptive Receptive Fields for Melanoma Segmentation. IEEE International Symposium on Biomedical Imaging 2020 (ISBI 2020), Iowa City, USA. Code.
13. Qiushi Yang, Yixuan Yuan, Learning Dynamic Convolutions for Multi-Modal 3D MRI Brain Tumor Segmentation. MICCAI 2020 BraTS workshop, Lima, Peru.
14. 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 2020), Asahikawa, Japan.

2019

1. 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.
2. 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, 46(2):765-756, 2019.
3. 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, 46(7):3091-3100, 2019.
4. Xiaoqing Guo, Yixuan Yuan, Triple ANet: Adaptive Abnormal-aware Attention Network for WCE Image Classification. The 22nd International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2019), Shenzhen, China. (Early Accept) Code.
5. Yuqi Fang, Cheng Chen, Yixuan Yuan*, Kai Yu Raymond TONG*, Selective Feature Aggregation Network with Area-boundary Constraints for Polyp Segmentation. The 22nd International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2019), Shenzhen, China. (Early Accept) Code
6. Xiaoqing Guo, Chen Yang, Pak Lun Lam, Peter YM Woo, Yixuan Yuan, Domain Knowledge Based Brain Tumor Segmentation and Overall Survival Prediction. In International MICCAI Brainlesion Workshop (pp. 285-295). Springer, Cham, 2019. Code.
7. 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 2019), Venice, Italy.
8. 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 2019), Venice, Italy.

2018

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.
2. 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, 2018.
3. 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.
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, 45(10):4763-4774, 2018.
5. 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, 102(3):S102, 2018.
6. 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, 102(3):e379, 2018.
7. 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 2018), Granada, Spain.
8. 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 2018), Granada, Spain.

Before 2018

Journal

1. Yixuan Yuan, Max Q.-H Meng, Deep Learning for Polyp Recognition in Wireless Capsule Endoscopy Images. Medical Physics, 44(4):1379-1389, 2017.
2. 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, 2017.
3. 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.
4. 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.
5. 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.
6. 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, 33(5):1002-1013, 2014.
7. 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.
8. 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.
9. 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, 23(4):786-800, 2013.
10. 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, 22(12): 2831-2839, 2012.
11. 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.

Conference

1. 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 2017), Quebec City, Canada.
2. 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 2016), Daejeon, Korea.
3. 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. The 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2015), Milano, Italy.
4. Yixuan Yuan, Max Q.-H. Meng, Automatic Bleeding Frame Detection in the Wireless Capsule Endoscopy Images. IEEE International Conference on Robotics and Automation (ICRA 2015), Seattle, United States.
5. 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 2014), Chicago, United States.
6. 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 2014), Hong Kong.
7. Yixuan Yuan, Max Q.-H Meng, Hierarchical key frames extraction for WCE video. IEEE International Conference on Mechatronic and Automation (ICMA 2013), Takamatsu, Japan.
8. 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 2011), Chicago, United States.
9. 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 2010), Rotterdam, Netherlands.
10. 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. First international conference on Multimodal brain image analysis (MBIA 2011), Toronto, Canada.

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