Ke Zhang

According to our database, Ke Zhang authored at least 7 papers between 2021 and 2025.

Collaborative distances:

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

2025

Octascope: A Lightweight Pre-Trained Model for Optical Coherence Tomography.

Haoyang Cui, Chen Wang, Paul Calle, Yunlong Liu, Qinghao Zhang, Sinaro Ly, Justin C. Reynolds, Feng Yan, Ke Zhang, Ronghao Liu, Junyuan Liu, Kar-Ming Fung, Zhongxin Yu, Ajay Jain, Qinggong Tang, Chongle Pan

IEEE Access, 2025

2024

Development and Assessment of Multiple Illumination Color Fourier Ptychographic Microscopy for High Throughput Sample Digitization.

Patrik W. Gilley, Ke Zhang, Neman Abdoli, Youkabed Sadri, Laura Adhikari, Kar-Ming Fung, Yuchen Qiu

Sensors, July, 2024

Developing a novel image marker to predict the clinical outcome of neoadjuvant chemotherapy (NACT) for ovarian cancer patients.

Ke Zhang, Neman Abdoli, Patrik W. Gilley, Youkabed Sadri, Xuxin Chen, Theresa C. Thai, Lauren Dockery, Kathleen N. Moore, Robert S. Mannel, Yuchen Qiu

Comput. Biol. Medicine, 2024

2022

Recent advances and clinical applications of deep learning in medical image analysis.

Xuxin Chen, Ximin Wang, Ke Zhang, Kar-Ming Fung, Theresa C. Thai, Kathleen N. Moore, Robert S. Mannel, Hong Liu, Bin Zheng, Yuchen Qiu

Medical Image Anal., 2022

Transformers Improve Breast Cancer Diagnosis from Unregistered Multi-View Mammograms.

Xuxin Chen, Ke Zhang, Neman Abdoli, Patrik W. Gilley, Ximin Wang, Hong Liu, Bin Zheng, Yuchen Qiu

CoRR, 2022

Virtual Adversarial Training for Semi-supervised Breast Mass Classification.

Xuxin Chen, Ximin Wang, Ke Zhang, Kar-Ming Fung, Theresa C. Thai, Kathleen N. Moore, Robert S. Mannel, Hong Liu, Bin Zheng, Yuchen Qiu

CoRR, 2022

2021

Recent advances and clinical applications of deep learning in medical image analysis.

Xuxin Chen, Ximin Wang, Ke Zhang, Roy Zhang, Kar-Ming Fung, Theresa C. Thai, Kathleen N. Moore, Robert S. Mannel, Hong Liu, Bin Zheng, Yuchen Qiu

CoRR, 2021