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Lequan Yu

Senior Member, IEEE

nnFormer: Interleaved Transformer for Volumetric Segmentation


Oct 01, 2021
Hong-Yu Zhou, Jiansen Guo, Yinghao Zhang, Lequan Yu, Liansheng Wang, Yizhou Yu

* Codes and models are available at https://github.com/282857341/nnFormer 

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All-Around Real Label Supervision: Cyclic Prototype Consistency Learning for Semi-supervised Medical Image Segmentation


Sep 28, 2021
Zhe Xu, Yixin Wang, Donghuan Lu, Lequan Yu, Jiangpeng Yan, Jie Luo, Kai Ma, Yefeng Zheng, Raymond Kai-yu Tong

* 10 pages, under review in trans journal 

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Metal Artifact Reduction in 2D CT Images with Self-supervised Cross-domain Learning


Sep 28, 2021
Lequan Yu, Zhicheng Zhang, Xiaomeng Li, Hongyi Ren, Wei Zhao, Lei Xing

* Accepted by PMB 

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HCDG: A Hierarchical Consistency Framework for Domain Generalization on Medical Image Segmentation


Sep 13, 2021
Yijun Yang, Shujun Wang, Pheng-Ann Heng, Lequan Yu


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DualNorm-UNet: Incorporating Global and Local Statistics for Robust Medical Image Segmentation


Mar 29, 2021
Junfei Xiao, Lequan Yu, Lei Xing, Alan Yuille, Yuyin Zhou

* code available at https://github.com/lambert-x/DualNorm-Unet 

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TransCT: Dual-path Transformer for Low Dose Computed Tomography


Mar 03, 2021
Zhicheng Zhang, Lequan Yu, Xiaokun Liang, Wei Zhao, Lei Xing


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Dual-Teacher++: Exploiting Intra-domain and Inter-domain Knowledge with Reliable Transfer for Cardiac Segmentation


Jan 07, 2021
Kang Li, Shujun Wang, Lequan Yu, Pheng-Ann Heng

* Accepted by TMI 

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RMDL: Recalibrated multi-instance deep learning for whole slide gastric image classification


Oct 13, 2020
Shujun Wang, Yaxi Zhu, Lequan Yu, Hao Chen, Huangjing Lin, Xiangbo Wan, Xinjuan Fan, Pheng-Ann Hen

* Accepted at Medical Image Analysis. Code: https://github.com/EmmaW8/RMDL 

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DoFE: Domain-oriented Feature Embedding for Generalizable Fundus Image Segmentation on Unseen Datasets


Oct 13, 2020
Shujun Wang, Lequan Yu, Kang Li, Xin Yang, Chi-Wing Fu, Pheng-Ann Heng

* Accepted at IEEE-TMI 2020 

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Towards Cross-modality Medical Image Segmentation with Online Mutual Knowledge Distillation


Oct 04, 2020
Kang Li, Lequan Yu, Shujun Wang, Pheng-Ann Heng

* AAAI 2020 
* Accepted by AAAI 2020 

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Deep Sinogram Completion with Image Prior for Metal Artifact Reduction in CT Images


Sep 16, 2020
Lequan Yu, Zhicheng Zhang, Xiaomeng Li, Lei Xing

* Accepted by IEEE Transactions on Medical Imaging 

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Self-supervised Feature Learning via Exploiting Multi-modal Data for Retinal Disease Diagnosis


Jul 21, 2020
Xiaomeng Li, Mengyu Jia, Md Tauhidul Islam, Lequan Yu, Lei Xing

* IEEE Transactions on Medical Imaging, code is at https://github.com/xmengli999/self_supervised 

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Learning from Extrinsic and Intrinsic Supervisions for Domain Generalization


Jul 18, 2020
Shujun Wang, Lequan Yu, Caizi Li, Chi-Wing Fu, Pheng-Ann Heng

* Accepted at ECCV 2020. Code is available at https://github.com/EmmaW8/EISNet 

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Dual-Teacher: Integrating Intra-domain and Inter-domain Teachers for Annotation-efficient Cardiac Segmentation


Jul 13, 2020
Kang Li, Shujun Wang, Lequan Yu, Pheng-Ann Heng

* Accepted at MICCAI 2020 

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Multi-Site Infant Brain Segmentation Algorithms: The iSeg-2019 Challenge


Jul 11, 2020
Yue Sun, Kun Gao, Zhengwang Wu, Zhihao Lei, Ying Wei, Jun Ma, Xiaoping Yang, Xue Feng, Li Zhao, Trung Le Phan, Jitae Shin, Tao Zhong, Yu Zhang, Lequan Yu, Caizi Li, Ramesh Basnet, M. Omair Ahmad, M. N. S. Swamy, Wenao Ma, Qi Dou, Toan Duc Bui, Camilo Bermudez Noguera, Bennett Landman, Ian H. Gotlib, Kathryn L. Humphreys, Sarah Shultz, Longchuan Li, Sijie Niu, Weili Lin, Valerie Jewells, Gang Li, Dinggang Shen, Li Wang


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Uncertainty-aware multi-view co-training for semi-supervised medical image segmentation and domain adaptation


Jun 28, 2020
Yingda Xia, Dong Yang, Zhiding Yu, Fengze Liu, Jinzheng Cai, Lequan Yu, Zhuotun Zhu, Daguang Xu, Alan Yuille, Holger Roth

* Medical Image Analysis, 2020 
* 19 pages, 6 figures, to appear in Medical Image Analysis. This article is an extension of the conference paper arXiv:1811.12506 

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Deep Mining External Imperfect Data for Chest X-ray Disease Screening


Jun 06, 2020
Luyang Luo, Lequan Yu, Hao Chen, Quande Liu, Xi Wang, Jiaqi Xu, Pheng-Ann Heng

* Accepted to IEEE Transactions on Medical Imaging 

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Semi-supervised Medical Image Classification with Relation-driven Self-ensembling Model


May 15, 2020
Quande Liu, Lequan Yu, Luyang Luo, Qi Dou, Pheng Ann Heng

* IEEE Transactions on Medical Imaging, 2020 

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MS-Net: Multi-Site Network for Improving Prostate Segmentation with Heterogeneous MRI Data


Feb 19, 2020
Quande Liu, Qi Dou, Lequan Yu, Pheng Ann Heng

* IEEE TMI, 2020 

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CANet: Cross-disease Attention Network for Joint Diabetic Retinopathy and Diabetic Macular Edema Grading


Nov 04, 2019
Xiaomeng Li, Xiaowei Hu, Lequan Yu, Lei Zhu, Chi-Wing Fu, Pheng-Ann Heng

* IEEE Transactions on Medical Imaging; code is at https://github.com/xmengli999/CANet 

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Agent with Warm Start and Active Termination for Plane Localization in 3D Ultrasound


Oct 10, 2019
Haoran Dou, Xin Yang, Jikuan Qian, Wufeng Xue, Hao Qin, Xu Wang, Lequan Yu, Shujun Wang, Yi Xiong, Pheng-Ann Heng, Dong Ni

* 9 pages, 5 figures, 1 table. Accepted by MICCAI 2019 (oral) 

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Boundary and Entropy-driven Adversarial Learning for Fundus Image Segmentation


Jul 26, 2019
Shujun Wang, Lequan Yu, Kang Li, Xin Yang, Chi-Wing Fu, Pheng-Ann Heng

* Accepted at MICCAI 2019 

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Uncertainty-aware Self-ensembling Model for Semi-supervised 3D Left Atrium Segmentation


Jul 16, 2019
Lequan Yu, Shujun Wang, Xiaomeng Li, Chi-Wing Fu, Pheng-Ann Heng

* Accepted by MICCAI2019; Code is available in https://github.com/yulequan/UA-MT 

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Revisiting Metric Learning for Few-Shot Image Classification


Jul 06, 2019
Xiaomeng Li, Lequan Yu, Chi-Wing Fu, Meng Fang, Pheng-Ann Heng


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Difficulty-aware Meta-Learning for Rare Disease Diagnosis


Jun 30, 2019
Xiaomeng Li, Lequan Yu, Chi-Wing Fu, Pheng-Ann Heng

* Technical report 

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Unsupervised Detection of Distinctive Regions on 3D Shapes


May 05, 2019
Xianzhi Li, Lequan Yu, Chi-Wing Fu, Daniel Cohen-Or, Pheng-Ann Heng


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