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Hongna Tan
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2020 – today
- 2023
- [c2]Qingxia Wu, Hongna Tan, Zhi Qiao, Pei Dong, Dinggang Shen, Meiyun Wang, Zhong Xue
:
Cross-view Contrastive Mutual Learning Across Masked Autoencoders for Mammography Diagnosis. MLMI@MICCAI (2) 2023: 74-83 - 2022
- [c1]Qingxia Wu, Hongna Tan, Yaping Wu, Pei Dong, Jifei Che, Zheren Li, Chenjin Lei, Dinggang Shen, Zhong Xue
Whole Mammography Diagnosis via Multi-instance Supervised Discriminative Localization and Classification. MLMI@MICCAI 2022: 131-139 - 2020
- [i2]Cheng Li, Rongpin Wang, Zaiyi Liu, Meiyun Wang, Hongna Tan, Yaping Wu, Xinfeng Liu, Hui Sun, Rui Yang, Xin Liu, Ismail Ben Ayed, Hairong Zheng, Hanchuan Peng, Shanshan Wang:
AIDE: Annotation-efficient deep learning for automatic medical image segmentation. CoRR abs/2012.04885 (2020)
2010 – 2019
- 2019
- [j2]Jinjin Hai, Hongna Tan, Jian Chen, Minghui Wu, Kai Qiao, Jingbo Xu, Lei Zeng, Fei Gao, Dapeng Shi, Bin Yan
Multi-level features combined end-to-end learning for automated pathological grading of breast cancer on digital mammograms. Comput. Medical Imaging Graph. 71: 58-66 (2019) - [i1]Kevin Wu, Eric Wu, Yaping Wu, Hongna Tan, Greg Sorensen, Meiyun Wang, Bill Lotter:
Validation of a deep learning mammography model in a population with low screening rates. CoRR abs/1911.00364 (2019) - 2015
- [j1]Huijuan Xiao, Yihe Liu, Hongna Tan, Pan Liang, Bo Wang, Lei Su, Suya Wang, Jianbo Gao:
A pilot study using low-dose Spectral CT and ASIR (Adaptive Statistical Iterative Reconstruction) algorithm to diagnose solitary pulmonary nodules. BMC Medical Imaging 15: 54 (2015)
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