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Lequan Yu

Senior Member, IEEE

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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Transformation Consistent Self-ensembling Model for Semi-supervised Medical Image Segmentation

Mar 04, 2019
Xiaomeng Li, Lequan Yu, Hao Chen, Chi-Wing Fu, Pheng-Ann Heng

* A preliminary version of this work is presented in arXiv:1808.03887 

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Patch-based Output Space Adversarial Learning for Joint Optic Disc and Cup Segmentation

Feb 20, 2019
Shujun Wang, Lequan Yu, Xin Yang, Chi-Wing Fu, Pheng-Ann Heng

* IEEE Transactions on Medical Imaging (In press) 

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3D Semi-Supervised Learning with Uncertainty-Aware Multi-View Co-Training

Nov 29, 2018
Yingda Xia, Fengze Liu, Dong Yang, Jinzheng Cai, Lequan Yu, Zhuotun Zhu, Daguang Xu, Alan Yuille, Holger Roth


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Semi-supervised Skin Lesion Segmentation via Transformation Consistent Self-ensembling Model

Aug 12, 2018
Xiaomeng Li, Lequan Yu, Hao Chen, Chi-Wing Fu, Pheng-Ann Heng

* BMVC 2018 

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EC-Net: an Edge-aware Point set Consolidation Network

Jul 16, 2018
Lequan Yu, Xianzhi Li, Chi-Wing Fu, Daniel Cohen-Or, Pheng-Ann Heng

* accepted by ECCV2018; project in https://yulequan.github.io/ec-net/ 

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Deeply Supervised Rotation Equivariant Network for Lesion Segmentation in Dermoscopy Images

Jul 08, 2018
Xiaomeng Li, Lequan Yu, Chi-Wing Fu, Pheng-Ann Heng


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PU-Net: Point Cloud Upsampling Network

Mar 26, 2018
Lequan Yu, Xianzhi Li, Chi-Wing Fu, Daniel Cohen-Or, Pheng-Ann Heng

* accepted by CVPR2018 

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Automatic 3D Cardiovascular MR Segmentation with Densely-Connected Volumetric ConvNets

Aug 02, 2017
Lequan Yu, Jie-Zhi Cheng, Qi Dou, Xin Yang, Hao Chen, Jing Qin, Pheng-Ann Heng

* Accepted at MICCAI 2017 

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