Ke Zhang

11 papers Journal 11
YearRankTypeTitle / Venue / Authors
2025 J jnl
From CNNs to SAM: A Survey of Deep Learning Techniques for Liver Tumor Segmentation in CT Images.
IEEE Access
Neman Abdoli, Youkabed Sadri, Patrik W. Gilley, Ke Zhang, Yong Chen, Yuchen Qiu
2025 J jnl
Octascope: A Lightweight Pre-Trained Model for Optical Coherence Tomography.
IEEE Access
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
2025 J jnl
Parameter efficient fine-tunning of foundation model to facilitate tumor response prediction for ovarian cancer patients.
BMC Medical Imaging
Ke Zhang, Patrik W. Gilley, Neman Abdoli, Theresa C. Thai, Yong Chen, Lauren Dockery, Kathleen N. Moore, Robert S. Mannel, Qinggong Tang, Yuchen Qiu
2025 J jnl
Utilizing Pseudo Color Image to Improve the Performance of Deep Transfer Learning-Based Computer-Aided Diagnosis Schemes in Breast Mass Classification.
J. Imaging Inform. Medicine
Meredith A. Jones, Ke Zhang, Rowzat Faiz, Warid Islam, Javier A. Jo, Bin Zheng, Yuchen Qiu
2024 J jnl
Developing a novel image marker to predict the clinical outcome of neoadjuvant chemotherapy (NACT) for ovarian cancer patients.
Comput. Biol. Medicine
Ke Zhang, Neman Abdoli, Patrik W. Gilley, Youkabed Sadri, Xuxin Chen, Theresa C. Thai, Lauren Dockery, Kathleen N. Moore, Robert S. Mannel, Yuchen Qiu
2024 J jnl
Development and Assessment of Multiple Illumination Color Fourier Ptychographic Microscopy for High Throughput Sample Digitization.
Sensors
Patrik W. Gilley, Ke Zhang, Neman Abdoli, Youkabed Sadri, Laura Adhikari, Kar-Ming Fung, Yuchen Qiu
2023 J jnl
Developing a Novel Image Marker to Predict the Responses of Neoadjuvant Chemotherapy (NACT) for Ovarian Cancer Patients.
CoRR
Ke Zhang, Neman Abdoli, Patrik W. Gilley, Youkabed Sadri, Xuxin Chen, Theresa C. Thai, Lauren Dockery, Kathleen N. Moore, Robert S. Mannel, Yuchen Qiu
2022 J jnl
Recent advances and clinical applications of deep learning in medical image analysis.
Medical Image Anal.
Xuxin Chen, Ximin Wang, Ke Zhang, Kar-Ming Fung, Theresa C. Thai, Kathleen N. Moore, Robert S. Mannel, Hong Liu, Bin Zheng, Yuchen Qiu
2022 J jnl
Transformers Improve Breast Cancer Diagnosis from Unregistered Multi-View Mammograms.
CoRR
Xuxin Chen, Ke Zhang, Neman Abdoli, Patrik W. Gilley, Ximin Wang, Hong Liu, Bin Zheng, Yuchen Qiu
2022 J jnl
Virtual Adversarial Training for Semi-supervised Breast Mass Classification.
CoRR
Xuxin Chen, Ximin Wang, Ke Zhang, Kar-Ming Fung, Theresa C. Thai, Kathleen N. Moore, Robert S. Mannel, Hong Liu, Bin Zheng, Yuchen Qiu
2021 J jnl
Recent advances and clinical applications of deep learning in medical image analysis.
CoRR
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