Yuexiang Li

According to our database, Yuexiang Li authored at least 103 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Adversarial Medical Image With Hierarchical Feature Hiding.

Qingsong Yao, Zecheng He, Yuexiang Li, Yi Lin, Kai Ma, Yefeng Zheng, S. Kevin Zhou

IEEE Trans. Medical Imaging, April, 2024

Anomaly detection via gating highway connection for retinal fundus images.

Wentian Zhang, Haozhe Liu, Jinheng Xie, Yawen Huang, Yu Zhang, Yuexiang Li, Raghavendra Ramachandra, Yefeng Zheng

Pattern Recognit., April, 2024

Unsupervised Domain Adaptation for Medical Image Segmentation by Disentanglement Learning and Self-Training.

Qingsong Xie, Yuexiang Li, Nanjun He, Munan Ning, Kai Ma, Guoxing Wang, Yong Lian, Yefeng Zheng

IEEE Trans. Medical Imaging, January, 2024

Dual Teacher Knowledge Distillation with Domain Alignment for Face Anti-spoofing.

Zhe Kong, Wentian Zhang, Tao Wang, Kaihao Zhang, Yuexiang Li, Xiaoying Tang, Wenhan Luo

CoRR, 2024

Combinatorial CNN-Transformer Learning with Manifold Constraints for Semi-supervised Medical Image Segmentation.

Huimin Huang, Yawen Huang, Shiao Xie, Lanfen Lin, Ruofeng Tong, Yen-Wei Chen, Yuexiang Li, Yefeng Zheng

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Learning Generalized Medical Image Segmentation from Decoupled Feature Queries.

Qi Bi, Jingjun Yi, Hao Zheng, Wei Ji, Yawen Huang, Yuexiang Li, Yefeng Zheng

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

A deep weakly semi-supervised framework for endoscopic lesion segmentation.

Yuxuan Shi, Hong Wang, Haoqin Ji, Haozhe Liu, Yuexiang Li, Nanjun He, Dong Wei, Yawen Huang, Qi Dai, Jianrong Wu, Xinrong Chen, Yefeng Zheng, Hongmeng Yu

Medical Image Anal., December, 2023

MIL-ViT: A multiple instance vision transformer for fundus image classification.

Qi Bi, Xu Sun, Shuang Yu, Kai Ma, Cheng Bian, Munan Ning, Nanjun He, Yawen Huang, Yuexiang Li, Hanruo Liu, Yefeng Zheng

J. Vis. Commun. Image Represent., December, 2023

Nuclei segmentation with point annotations from pathology images via self-supervised learning and co-training.

Yi Lin, Zhiyong Qu, Hao Chen, Zhongke Gao, Yuexiang Li, Lili Xia, Kai Ma, Yefeng Zheng, Kwang-Ting Cheng

Medical Image Anal., October, 2023

Adversarial Learning of Object-Aware Activation Map for Weakly-Supervised Semantic Segmentation.

Junliang Chen, Weizeng Lu, Yuexiang Li, Linlin Shen, Jinming Duan

IEEE Trans. Circuits Syst. Video Technol., August, 2023

InDuDoNet+: A deep unfolding dual domain network for metal artifact reduction in CT images.

Hong Wang, Yuexiang Li, Haimiao Zhang, Deyu Meng, Yefeng Zheng

Medical Image Anal., April, 2023

Blind Super-Resolution of 3D MRI via Unsupervised Domain Transformation.

Hexiang Zhou, Yawen Huang, Yuexiang Li, Yi Zhou, Yefeng Zheng

IEEE J. Biomed. Health Informatics, March, 2023

Automatic view plane prescription for cardiac magnetic resonance imaging via supervision by spatial relationship between views.

Dong Wei, Yawen Huang, Donghuan Lu, Yuexiang Li, Yefeng Zheng

CoRR, 2023

Federated Pseudo Modality Generation for Incomplete Multi-Modal MRI Reconstruction.

Yunlu Yan, Chun-Mei Feng, Yuexiang Li, Rick Siow Mong Goh, Lei Zhu

CoRR, 2023

Dynamically Masked Discriminator for Generative Adversarial Networks.

Wentian Zhang, Haozhe Liu, Bing Li, Jinheng Xie, Yawen Huang, Yuexiang Li, Yefeng Zheng, Bernard Ghanem

CoRR, 2023

Cross-Modal Vertical Federated Learning for MRI Reconstruction.

Yunlu Yan, Hong Wang, Yawen Huang, Nanjun He, Lei Zhu, Yuexiang Li, Yong Xu, Yefeng Zheng

CoRR, 2023

VisorGPT: Learning Visual Prior via Generative Pre-Training.

Jinheng Xie, Kai Ye, Yudong Li, Yuexiang Li, Kevin Qinghong Lin, Yefeng Zheng, Linlin Shen, Mike Zheng Shou

CoRR, 2023

Open-World Weakly-Supervised Object Localization.

Jinheng Xie, Zhaochuan Luo, Yuexiang Li, Haozhe Liu, Linlin Shen, Mike Zheng Shou

CoRR, 2023

Improving GAN Training via Feature Space Shrinkage.

Haozhe Liu, Wentian Zhang, Bing Li, Haoqian Wu, Nanjun He, Yawen Huang, Yuexiang Li, Bernard Ghanem, Yefeng Zheng

CoRR, 2023

A New Perspective to Boost Vision Transformer for Medical Image Classification.

Yuexiang Li, Yawen Huang, Nanjun He, Kai Ma, Yefeng Zheng

CoRR, 2023

Dynamically Masked Discriminator for GANs.

Wentian Zhang, Haozhe Liu, Bing Li, Jinheng Xie, Yawen Huang, Yuexiang Li, Yefeng Zheng, Bernard Ghanem

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Learning Visual Prior via Generative Pre-Training.

Jinheng Xie, Kai Ye, Yudong Li, Yuexiang Li, Kevin Qinghong Lin, Yefeng Zheng, Linlin Shen, Mike Zheng Shou

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Semi-Supervised Convolutional Vision Transformer with Bi-Level Uncertainty Estimation for Medical Image Segmentation.

Huimin Huang, Yawen Huang, Shiao Xie, Lanfen Lin, Ruofeng Tong, Yen-Wei Chen, Yuexiang Li, Yefeng Zheng

Proceedings of the 31st ACM International Conference on Multimedia, 2023

MEPNet: A Model-Driven Equivariant Proximal Network for Joint Sparse-View Reconstruction and Metal Artifact Reduction in CT Images.

Hong Wang, Minghao Zhou, Dong Wei, Yuexiang Li, Yefeng Zheng

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

BoxDiff: Text-to-Image Synthesis with Training-Free Box-Constrained Diffusion.

Jinheng Xie, Yuexiang Li, Yawen Huang, Haozhe Liu, Wentian Zhang, Yefeng Zheng, Mike Zheng Shou

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

FemtoDet: An Object Detection Baseline for Energy Versus Performance Tradeoffs.

Peng Tu, Xu Xie, Guo Ai, Yuexiang Li, Yawen Huang, Yefeng Zheng

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Interactive Segmentation as Gaussian Process Classification.

Minghao Zhou, Hong Wang, Qian Zhao, Yuexiang Li, Yawen Huang, Deyu Meng, Yefeng Zheng

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

AdaptiveMix: Improving GAN Training via Feature Space Shrinkage.

Haozhe Liu, Wentian Zhang, Bing Li, Haoqian Wu, Nanjun He, Yawen Huang, Yuexiang Li, Bernard Ghanem, Yefeng Zheng

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

SemiCVT: Semi-Supervised Convolutional Vision Transformer for Semantic Segmentation.

Huimin Huang, Shiao Xie, Lanfen Lin, Ruofeng Tong, Yen-Wei Chen, Yuexiang Li, Hong Wang, Yawen Huang, Yefeng Zheng

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Combating Mode Collapse via Offline Manifold Entropy Estimation.

Haozhe Liu, Bing Li, Haoqian Wu, Hanbang Liang, Yawen Huang, Yuexiang Li, Bernard Ghanem, Yefeng Zheng

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

ClassFormer: Exploring Class-Aware Dependency with Transformer for Medical Image Segmentation.

Huimin Huang, Shiao Xie, Lanfen Lin, Ruofeng Tong, Yen-Wei Chen, Hong Wang, Yuexiang Li, Yawen Huang, Yefeng Zheng

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

DICDNet: Deep Interpretable Convolutional Dictionary Network for Metal Artifact Reduction in CT Images.

Hong Wang, Yuexiang Li, Nanjun He, Kai Ma, Deyu Meng, Yefeng Zheng

IEEE Trans. Medical Imaging, 2022

Beyond Mutual Information: Generative Adversarial Network for Domain Adaptation Using Information Bottleneck Constraint.

Jiawei Chen, Ziqi Zhang, Xinpeng Xie, Yuexiang Li, Tao Xu, Kai Ma, Yefeng Zheng

IEEE Trans. Medical Imaging, 2022

Mix-and-Interpolate: A Training Strategy to Deal With Source-Biased Medical Data.

Yuexiang Li, Jiawei Chen, Dong Wei, Yanchun Zhu, Jianrong Wu, Junfeng Xiong, Yadong Gang, Wenbo Sun, Haibo Xu, Tianyi Qian, Kai Ma, Yefeng Zheng

IEEE J. Biomed. Health Informatics, 2022

Cross-Domain Gated Learning for Domain Generalization.

Dapeng Du, Jiawei Chen, Yuexiang Li, Kai Ma, Gangshan Wu, Yefeng Zheng, Limin Wang

Int. J. Comput. Vis., 2022

Decoupled Mixup for Generalized Visual Recognition.

Haozhe Liu, Wentian Zhang, Jinheng Xie, Haoqian Wu, Bing Li, Ziqi Zhang, Yuexiang Li, Yawen Huang, Bernard Ghanem, Yefeng Zheng

CoRR, 2022

A Benchmark for Weakly Semi-Supervised Abnormality Localization in Chest X-Rays.

Haoqin Ji, Haozhe Liu, Yuexiang Li, Jinheng Xie, Nanjun He, Yawen Huang, Dong Wei, Xinrong Chen, Linlin Shen, Yefeng Zheng

CoRR, 2022

Combating Mode Collapse in GANs via Manifold Entropy Estimation.

Haozhe Liu, Bing Li, Haoqian Wu, Hanbang Liang, Yawen Huang, Yuexiang Li, Bernard Ghanem, Yefeng Zheng

CoRR, 2022

Robust Representation via Dynamic Feature Aggregation.

Haozhe Liu, Haoqin Ji, Yuexiang Li, Nanjun He, Haoqian Wu, Feng Liu, Linlin Shen, Yefeng Zheng

CoRR, 2022

DFTR: Depth-supervised Hierarchical Feature Fusion Transformer for Salient Object Detection.

Heqin Zhu, Xu Sun, Yuexiang Li, Kai Ma, S. Kevin Zhou, Yefeng Zheng

CoRR, 2022

Label Propagation for Annotation-Efficient Nuclei Segmentation from Pathology Images.

Yi Lin, Zhiyong Qu, Hao Chen, Zhongke Gao, Yuexiang Li, Lili Xia, Kai Ma, Yefeng Zheng, Kwang-Ting Cheng

CoRR, 2022

Aggregative Self-supervised Feature Learning from Limited Medical Images.

Jiuwen Zhu, Yuexiang Li, Lian Ding, S. Kevin Zhou

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

A Multi-task Network with Weight Decay Skip Connection Training for Anomaly Detection in Retinal Fundus Images.

Wentian Zhang, Xu Sun, Yuexiang Li, Haozhe Liu, Nanjun He, Feng Liu, Yefeng Zheng

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

mmFormer: Multimodal Medical Transformer for Incomplete Multimodal Learning of Brain Tumor Segmentation.

Yao Zhang, Nanjun He, Jiawei Yang, Yuexiang Li, Dong Wei, Yawen Huang, Yang Zhang, Zhiqiang He, Yefeng Zheng

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Orientation-Shared Convolution Representation for CT Metal Artifact Learning.

Hong Wang, Qi Xie, Yuexiang Li, Yawen Huang, Deyu Meng, Yefeng Zheng

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Single Domain Generalization via Spontaneous Amplitude Spectrum Diversification.

Yuexiang Li, Nanjun He, Yawen Huang

Proceedings of the Resource-Efficient Medical Image Analysis - First MICCAI Workshop, 2022

Point Beyond Class: A Benchmark for Weakly Semi-supervised Abnormality Localization in Chest X-Rays.

Haoqin Ji, Haozhe Liu, Yuexiang Li, Jinheng Xie, Nanjun He, Yawen Huang, Dong Wei, Xinrong Chen, Linlin Shen, Yefeng Zheng

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Adaptive Convolutional Dictionary Network for CT Metal Artifact Reduction.

Hong Wang, Yuexiang Li, Deyu Meng, Yefeng Zheng

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Decoupled Mixup for Out-of-Distribution Visual Recognition.

Haozhe Liu, Wentian Zhang, Jinheng Xie, Haoqian Wu, Bing Li, Ziqi Zhang, Yuexiang Li, Yawen Huang, Bernard Ghanem, Yefeng Zheng

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

Generalized Brain Image Synthesis with Transferable Convolutional Sparse Coding Networks.

Yawen Huang, Feng Zheng, Xu Sun, Yuexiang Li, Ling Shao, Yefeng Zheng

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Anomaly Detection for Medical Images Using Self-Supervised and Translation-Consistent Features.

He Zhao, Yuexiang Li, Nanjun He, Kai Ma, Leyuan Fang, Huiqi Li, Yefeng Zheng

IEEE Trans. Medical Imaging, 2021

Comparing methods of detecting and segmenting unruptured intracranial aneurysms on TOF-MRAS: The ADAM challenge.

Kimberley M. Timmins, Irene C. van der Schaaf, Edwin Bennink, Ynte M. Ruigrok, Xingle An, Michael Baumgartner, Pascal Bourdon, Riccardo de Feo, Tommaso Di Noto, Florian Dubost, Augusto Fava-Sanches, Xue Feng, Corentin Giroud, Inteneural Group, Minghui Hu, Paul F. Jaeger, Juhana Kaiponen, Michal Klimont, Yuexiang Li, Hongwei Li, Yi Lin, Timo Loehr, Jun Ma, Klaus H. Maier-Hein, Guillaume Marie, Bjoern H. Menze, Jonas Richiardi, Saifeddine Rjiba, Dhaval Shah, Suprosanna Shit, Jussi Tohka, Thierry Urruty, Urszula Walinska, Xiaoping Yang, Yunqiao Yang, Yin Yin, Birgitta K. Velthuis, Hugo J. Kuijf

NeuroImage, 2021

GRAND: A large-scale dataset and benchmark for cervical intraepithelial Neoplasia grading with fine-grained lesion description.

Yuexiang Li, Zhi-Hua Liu, Peng Xue, Jiawei Chen, Kai Ma, Tianyi Qian, Yefeng Zheng, Youlin Qiao

Medical Image Anal., 2021

Revisiting Experience Replay: Continual Learning by Adaptively Tuning Task-wise Relationship.

Quanziang Wang, Yuexiang Li, Dong Wei, Renzhen Wang, Kai Ma, Yefeng Zheng, Deyu Meng

CoRR, 2021

InDuDoNet+: A Model-Driven Interpretable Dual Domain Network for Metal Artifact Reduction in CT Images.

Hong Wang, Yuexiang Li, Haimiao Zhang, Deyu Meng, Yefeng Zheng

CoRR, 2021

Mutual-GAN: Towards Unsupervised Cross-Weather Adaptation with Mutual Information Constraint.

Jiawei Chen, Yuexiang Li, Kai Ma, Yefeng Zheng

CoRR, 2021

Residual Moment Loss for Medical Image Segmentation.

Quanziang Wang, Renzhen Wang, Yuexiang Li, Kai Ma, Yefeng Zheng, Deyu Meng

CoRR, 2021

MIL-VT: Multiple Instance Learning Enhanced Vision Transformer for Fundus Image Classification.

Shuang Yu, Kai Ma, Qi Bi, Cheng Bian, Munan Ning, Nanjun He, Yuexiang Li, Hanruo Liu, Yefeng Zheng

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

InDuDoNet: An Interpretable Dual Domain Network for CT Metal Artifact Reduction.

Hong Wang, Yuexiang Li, Haimiao Zhang, Jiawei Chen, Kai Ma, Deyu Meng, Yefeng Zheng

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Simultaneous Alignment and Surface Regression Using Hybrid 2D-3D Networks for 3D Coherent Layer Segmentation of Retina OCT Images.

Hong Liu, Dong Wei, Donghuan Lu, Yuexiang Li, Kai Ma, Liansheng Wang, Yefeng Zheng

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Triplet-Branch Network with Prior-Knowledge Embedding for Fatigue Fracture Grading.

Yuexiang Li, Yanping Wang, Guang Lin, Yi Lin, Dong Wei, Qirui Zhang, Kai Ma, Guangming Lu, Zhiqiang Zhang, Yefeng Zheng

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Deep Reinforcement Exemplar Learning for Annotation Refinement.

Yuexiang Li, Nanjun He, Sixiang Peng, Kai Ma, Yefeng Zheng

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

The Winner of Age Challenge: Going One Step Further From Keypoint Detection to Scleral Spur Localization.

Xing Tao, Chenglang Yuan, Cheng Bian, Yuexiang Li, Kai Ma, Dong Ni, Yefeng Zheng

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

Feature Library: A Benchmark for Cervical Lesion Segmentation.

Yuexiang Li, Jiawei Chen, Kai Ma, Yefeng Zheng

Proceedings of the Information Processing in Medical Imaging, 2021

Alleviating Noisy-label Effects in Image Classification via Probability Transition Matrix.

Ziqi Zhang, Yuexiang Li, Hongxin Wei, Kai Ma, Tao Xu, Yefeng Zheng

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020

Computer-Aided Cervical Cancer Diagnosis Using Time-Lapsed Colposcopic Images.

Yuexiang Li, Jiawei Chen, Peng Xue, Chao Tang, Jia Chang, Chunyan Chu, Kai Ma, Qing Li, Yefeng Zheng, Youlin Qiao

IEEE Trans. Medical Imaging, 2020

A Multi-Organ Nucleus Segmentation Challenge.

Neeraj Kumar, Ruchika Verma, Deepak Anand, Yanning Zhou, Omer Fahri Onder, Efstratios Tsougenis, Hao Chen, Pheng-Ann Heng, Jiahui Li, Zhiqiang Hu, Yunzhi Wang, Navid Alemi Koohbanani, Mostafa Jahanifar, Neda Zamani Tajeddin, Ali Gooya, Nasir M. Rajpoot, Xuhua Ren, Sihang Zhou, Qian Wang, Dinggang Shen, Cheng-Kun Yang, Chi-Hung Weng, Wei-Hsiang Yu, Chao-Yuan Yeh, Shuang Yang, Shuoyu Xu, Pak-Hei Yeung, Peng Sun, Amirreza Mahbod, Gerald Schaefer, Isabella Ellinger, Rupert Ecker, Örjan Smedby, Chunliang Wang, Benjamin Chidester, That-Vinh Ton, Minh-Triet Tran, Jian Ma, Minh N. Do, Simon Graham, Quoc Dang Vu, Jin Tae Kwak, Akshaykumar Gunda, Raviteja Chunduri, Corey Hu, Xiaoyang Zhou, Dariush Lotfi, Reza Safdari, Antanas Kascenas, Alison O'Neil, Dennis Eschweiler, Johannes Stegmaier, Yanping Cui, Baocai Yin, Kailin Chen, Xinmei Tian, Philipp Grüning, Erhardt Barth, Elad Arbel, Itay Remer, Amir Ben-Dor, Ekaterina Sirazitdinova, Matthias Kohl, Stefan Braunewell, Yuexiang Li, Xinpeng Xie, Linlin Shen, Jun Ma, Krishanu Das Baksi, Mohammad Azam Khan, Jaegul Choo, Adrián Colomer, Valery Naranjo, Linmin Pei, Khan M. Iftekharuddin, Kaushiki Roy, Debotosh Bhattacharjee, Aníbal Pedraza, Maria Gloria Bueno, Sabarinathan Devanathan, Saravanan Radhakrishnan, Praveen Koduganty, Zihan Wu, Guanyu Cai, Xiaojie Liu, Yuqin Wang, Amit Sethi

IEEE Trans. Medical Imaging, 2020

Efficient and Effective Training of COVID-19 Classification Networks With Self-Supervised Dual-Track Learning to Rank.

Yuexiang Li, Dong Wei, Jiawei Chen, Shilei Cao, Hongyu Zhou, Yanchun Zhu, Jianrong Wu, Lan Lan, Wenbo Sun, Tianyi Qian, Kai Ma, Haibo Xu, Yefeng Zheng

IEEE J. Biomed. Health Informatics, 2020

Rubik's Cube+: A self-supervised feature learning framework for 3D medical image analysis.

Jiuwen Zhu, Yuexiang Li, Yifan Hu, Kai Ma, S. Kevin Zhou, Yefeng Zheng

Medical Image Anal., 2020

AGE challenge: Angle Closure Glaucoma Evaluation in Anterior Segment Optical Coherence Tomography.

Huazhu Fu, Fei Li, Xu Sun, Xingxing Cao, Jingan Liao, José Ignacio Orlando, Xing Tao, Yuexiang Li, Shihao Zhang, Mingkui Tan, Chenglang Yuan, Cheng Bian, Ruitao Xie, Jiongcheng Li, Xiaomeng Li, Jing Wang, Le Geng, Panming Li, Yanwu Xu

Medical Image Anal., 2020

Aggregative Self-Supervised Feature Learning.

Jiuwen Zhu, Yuexiang Li, S. Kevin Zhou

CoRR, 2020

MI^2GAN: Generative Adversarial Network for Medical Image Domain Adaptation using Mutual Information Constraint.

Xinpeng Xie, Jiawei Chen, Yuexiang Li, Linlin Shen, Kai Ma, Yefeng Zheng

CoRR, 2020

Embedding Task Knowledge into 3D Neural Networks via Self-supervised Learning.

Jiuwen Zhu, Yuexiang Li, Yifan Hu, S. Kevin Zhou

CoRR, 2020

AGE Challenge: Angle Closure Glaucoma Evaluation in Anterior Segment Optical Coherence Tomography.

Huazhu Fu, Fei Li, Xu Sun, Xingxing Cao, Jingan Liao, José Ignacio Orlando, Xing Tao, Yuexiang Li, Shihao Zhang, Mingkui Tan, Chenglang Yuan, Cheng Bian, Ruitao Xie, Jiongcheng Li, Xiaomeng Li, Jing Wang, Le Geng, Panming Li, Huaying Hao, Jiang Liu, Yan Kong, Yongyong Ren, Hrvoje Bogunovic, Xiulan Zhang, Yanwu Xu

CoRR, 2020

Instance-Aware Self-supervised Learning for Nuclei Segmentation.

Xinpeng Xie, Jiawei Chen, Yuexiang Li, Linlin Shen, Kai Ma, Yefeng Zheng

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

MI²GAN: Generative Adversarial Network for Medical Image Domain Adaptation Using Mutual Information Constraint.

Xinpeng Xie, Jiawei Chen, Yuexiang Li, Linlin Shen, Kai Ma, Yefeng Zheng

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Revisiting Rubik's Cube: Self-supervised Learning with Volume-Wise Transformation for 3D Medical Image Segmentation.

Xing Tao, Yuexiang Li, Wenhui Zhou, Kai Ma, Yefeng Zheng

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Cerebral Aneurysm Rupture Risk Estimation Using XGBoost and Fully Connected Neural Network.

Yanfei Liu, Yunqiao Yang, Yi Lin, Yuexiang Li, Dong Wei, Kai Ma, Yefeng Zheng

Proceedings of the Cerebral Aneurysm Detection - First Challenge, 2020

Self-Loop Uncertainty: A Novel Pseudo-Label for Semi-supervised Medical Image Segmentation.

Yuexiang Li, Jiawei Chen, Xinpeng Xie, Kai Ma, Yefeng Zheng

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

A Multi-Task Self-Supervised Learning Framework for Scopy Images.

Yuexiang Li, Jiawei Chen, Yefeng Zheng

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Self-Supervised CycleGAN for Object-Preserving Image-to-Image Domain Adaptation.

Xinpeng Xie, Jiawei Chen, Yuexiang Li, Linlin Shen, Kai Ma, Yefeng Zheng

Proceedings of the Computer Vision - ECCV 2020, 2020

Dual Adversarial Network for Deep Active Learning.

Shuo Wang, Yuexiang Li, Kai Ma, Ruhui Ma, Haibing Guan, Yefeng Zheng

Proceedings of the Computer Vision - ECCV 2020, 2020

Generative Adversarial Networks for Video-to-Video Domain Adaptation.

Jiawei Chen, Yuexiang Li, Kai Ma, Yefeng Zheng

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

OctopusNet: A Deep Learning Segmentation Network for Multi-modal Medical Images.

Yu Chen, Yuexiang Li, Jiawei Chen, Yefeng Zheng

CoRR, 2019

HEp-Net: a smaller and better deep-learning network for HEp-2 cell classification.

Yuexiang Li, Linlin Shen

Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2019

Reverse active learning based atrous DenseNet for pathological image classification.

Yuexiang Li, Xinpeng Xie, Linlin Shen, Shaoxiong Liu

BMC Bioinform., 2019

Self-supervised Feature Learning for 3D Medical Images by Playing a Rubik's Cube.

Xinrui Zhuang, Yuexiang Li, Yifan Hu, Kai Ma, Yujiu Yang, Yefeng Zheng

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

OctopusNet: A Deep Learning Segmentation Network for Multi-modal Medical Images.

Yu Chen, Jiawei Chen, Dong Wei, Yuexiang Li, Yefeng Zheng

Proceedings of the Multiscale Multimodal Medical Imaging - First International Workshop, 2019

2018

Skin Lesion Analysis towards Melanoma Detection Using Deep Learning Network.

Yuexiang Li, Linlin Shen

Sensors, 2018

Deep cross residual network for HEp-2 cell staining pattern classification.

Linlin Shen, Xi Jia, Yuexiang Li

Pattern Recognit., 2018

Open snake model based on global guidance field for embryo vessel location.

Weicheng Xie, Jinming Duan, Linlin Shen, Yuexiang Li, Meng Yang, Guojun Lin

IET Comput. Vis., 2018

Reversed Active Learning based Atrous DenseNet for Pathological Image Classification.

Yuexiang Li, Xinpeng Xie, Linlin Shen, Shaoxiong Liu

CoRR, 2018

Active Learning for Breast Cancer Identification.

Xinpeng Xie, Yuexiang Li, Linlin Shen

CoRR, 2018

cC-GAN: A Robust Transfer-Learning Framework for HEp-2 Specimen Image Segmentation.

Yuexiang Li, Linlin Shen

IEEE Access, 2018

Robust Segmentation of Nucleus in Histopathology Images via Mask R-CNN.

Xinpeng Xie, Yuexiang Li, Menglu Zhang, Linlin Shen

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2018

Deep learning based gastric cancer identification.

Yuexiang Li, Xuechen Li, Xinpeng Xie, Linlin Shen

Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

GT-Net: A Deep Learning Network for Gastric Tumor Diagnosis.

Yuexiang Li, Xinpeng Xie, Shaoxiong Liu, Xuechen Li, Linlin Shen

Proceedings of the IEEE 30th International Conference on Tools with Artificial Intelligence, 2018

2017

HEp-2 Specimen Image Segmentation and Classification Using Very Deep Fully Convolutional Network.

Yuexiang Li, Linlin Shen, Shiqi Yu

IEEE Trans. Medical Imaging, 2017

Deep Learning Based Multimodal Brain Tumor Diagnosis.

Yuexiang Li, Linlin Shen

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2017

A Deep Residual Inception Network for HEp-2 Cell Classification.

Yuexiang Li, Linlin Shen

Proceedings of the Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support, 2017

Positive and negative HEp-2 image classification fusing global and local features.

Jiancan Zhou, Yuexiang Li, Xiande Zhou, Linlin Shen

Proceedings of the 10th International Congress on Image and Signal Processing, 2017

2016

HEp-2 specimen classification with fully convolutional network.

Yuexiang Li, LinLin Shen, Xiande Zhou, Shiqi Yu

Proceedings of the 23rd International Conference on Pattern Recognition, 2016

2015

Robust H-infinity Control for Stochastic Markovian Switching Systems Under Partly Known Transition Probabilities and Actuator Saturation via Anti-Windup Design.

Wenhai Qi, Xianwen Gao, Yuexiang Li

Circuits Syst. Signal Process., 2015