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Scalable Semi-supervised Landmark Localization for X-ray Images using Few-shot Deep Adaptive Graph

Apr 29, 2021
Xiao-Yun Zhou, Bolin Lai, Weijian Li, Yirui Wang, Kang Zheng, Fakai Wang, Chihung Lin, Le Lu, Lingyun Huang, Mei Han, Guotong Xie, Jing Xiao, Kuo Chang-Fu, Adam Harrison, Shun Miao

* 10 pages 

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Deep Implicit Statistical Shape Models for 3D Medical Image Delineation

Apr 07, 2021
Ashwin Raju, Shun Miao, Chi-Tung Cheng, Le Lu, Mei Han, Jing Xiao, Chien-Hung Liao, Junzhou Huang, Adam P. Harrison

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Hetero-Modal Learning and Expansive Consistency Constraints for Semi-Supervised Detection from Multi-Sequence Data

Mar 24, 2021
Bolin Lai, Yuhsuan Wu, Xiao-Yun Zhou, Peng Wang, Le Lu, Lingyun Huang, Mei Han, Jing Xiao, Heping Hu, Adam P. Harrison

* 13 pages 

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SegAttnGAN: Text to Image Generation with Segmentation Attention

May 25, 2020
Yuchuan Gou, Qiancheng Wu, Minghao Li, Bo Gong, Mei Han

* Accepted to the AI for Content Creation Workshop at CVPR 2020 

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Handwritten Chinese Font Generation with Collaborative Stroke Refinement

May 06, 2019
Chuan Wen, Jie Chang, Ya Zhang, Siheng Chen, Yanfeng Wang, Mei Han, Qi Tian

* 8 pages(exclude reference) 

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Prior-aware Neural Network for Partially-Supervised Multi-Organ Segmentation

Apr 12, 2019
Yuyin Zhou, Zhe Li, Song Bai, Chong Wang, Xinlei Chen, Mei Han, Elliot Fishman, Alan Yuille

* Tech Report 

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Abnormal Chest X-ray Identification With Generative Adversarial One-Class Classifier

Mar 05, 2019
Yuxing Tang, Youbao Tang, Mei Han, Jing Xiao, Ronald M. Summers

* Accepted as an oral presentation in IEEE International Symposium on Biomedical Imaging (ISBI) 2019 

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Thoracic Disease Identification and Localization with Limited Supervision

Jun 20, 2018
Zhe Li, Chong Wang, Mei Han, Yuan Xue, Wei Wei, Li-Jia Li, Li Fei-Fei

* Conference on Computer Vision and Pattern Recognition 2018 (CVPR 2018). V1: CVPR submission; V2: +supplementary; V3: CVPR camera-ready; V4: correction, update reference baseline results according to their latest post; V5: minor correction; V6: Identification results using NIH data splits and various image models 

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