I'm currently an Assistant Professor at the College of Electrical and Information Engineering at Hunan University. Before joining Hunan University, I received my master's and doctoral degrees from the School of Information Science and Engineering at Fudan University. My supervisor is Prof. Jinhua Yu. My research interests include: ultrasound image analysis, whole-slide image analysis and multi modal fusion.

Now I have one master position for fall 24. Please contact me if you are interested.

Deep learning radiopathomics based on preoperative US images and biopsy whole slide images can distinguish between luminal and non-luminal tumors in early-stage breast cancers

Yini Huang*, Zhao Yao*, Lingling Li et al.

eBioMedicine

Paper

Virtual elastography ultrasound via generative adversarial network for breast cancer diagnosis

Yao, Z., Luo, T., Dong, Y. et al.

Nature Communication

Paper | Code

Deep learning radiomics can predict axillary lymph node status in early-stage breast cancer

Xueyi Zheng*, Zhao Yao*, Yini Huang, Yanyan Yu, Yun Wang, Yubo Liu, Rushuang Mao, Fei Li, Yang Xiao, Yuanyuan Wang, Jinhua Yu, Jianhua Zhou

Nature Communication

Paper | Code | Software

Deep learning radiomics model accurately predicts hepatocellular carcinoma occurrence in chronic hepatitis B patients: a five-year follow-up

Jieyang Jin*, Zhao Yao*, Ting Zhang, Jie Zeng, Lili Wu, Manli Wu, Jinfen Wang, Yuanyuan Wang, Jinhua Yu, Rongqin Zheng

Accepted by American Journal of Cancer Research

Paper

Preoperative diagnosis and prediction of hepatocellular carcinoma: Radiomics analysis based on multi-modal ultrasound images

Zhao Yao*, Yi Dong*, Guoqing Wu, Qi Zhang, Daohui Yang, Jin-Hua Yu, Wen-Ping Wang

BMC Cancer

Paper

MICCAI brats segmentation task

Zhao Yao

Code

• Medical image process
  
  

  • Deep Learning, Machine Learning, Medical image classification and domain adaption

• Programming
  
  

  • Programming language: Matlab Python C/C++
  • Deep Learning Framework: Tensorflow Keras Pytorch