Hongna Tan

According to our database, Hongna Tan authored at least 6 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2023

Cross-view Contrastive Mutual Learning Across Masked Autoencoders for Mammography Diagnosis.

Qingxia Wu, Hongna Tan, Zhi Qiao, Pei Dong, Dinggang Shen, Meiyun Wang, Zhong Xue

Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023

2022

Whole Mammography Diagnosis via Multi-instance Supervised Discriminative Localization and Classification.

Qingxia Wu, Hongna Tan, Yaping Wu, Pei Dong, Jifei Che, Zheren Li, Chenjin Lei, Dinggang Shen, Zhong Xue, Meiyun Wang

Proceedings of the Machine Learning in Medical Imaging - 13th International Workshop, 2022

2020

AIDE: Annotation-efficient deep learning for automatic medical image segmentation.

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

CoRR, 2020

2019

Validation of a deep learning mammography model in a population with low screening rates.

Kevin Wu, Eric Wu, Yaping Wu, Hongna Tan, Greg Sorensen, Meiyun Wang, Bill Lotter

CoRR, 2019

Multi-level features combined end-to-end learning for automated pathological grading of breast cancer on digital mammograms.

Jinjin Hai, Hongna Tan, Jian Chen, Minghui Wu, Kai Qiao, Jingbo Xu, Lei Zeng, Fei Gao, Dapeng Shi, Bin Yan

Comput. Medical Imaging Graph., 2019

2015

A pilot study using low-dose Spectral CT and ASIR (Adaptive Statistical Iterative Reconstruction) algorithm to diagnose solitary pulmonary nodules.

Huijuan Xiao, Yihe Liu, Hongna Tan, Pan Liang, Bo Wang, Lei Su, Suya Wang, Jianbo Gao

BMC Medical Imaging, 2015