Apply radiomics approach for early stage prognostic evaluation of ovarian cancer patients: a preliminary study. - Gopichandh Danala; Yunzhi Wang 002; Theresa C. Thai; Camille Gunderson; Katherine Moxley; Kathleen N. Moore; Robert S. Mannel; Hong Liu 003; Bin Zheng 001; Yuchen Qiu (Computer-Aided Diagnosis, 2017)

Developing a new radiomics-based CT image marker to detect lymph node metastasis among cervical cancer patients. - Xuxin Chen; Wei Liu 116; Theresa C. Thai; Tara Castellano; Camille C. Gunderson; Kathleen N. Moore; Robert S. Mannel; Hong Liu 003; Bin Zheng 001; Yuchen Qiu (Comput. Methods Programs Biomed., 2020)

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 003; Bin Zheng 001; Yuchen Qiu (CoRR, 2021)

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 003; Bin Zheng 001; Yuchen Qiu (CoRR, 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 003; Bin Zheng 001; Yuchen Qiu (Medical Image Anal., 2022)

Developing a Novel Image Marker to Predict the Responses 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 (CoRR, 2023)

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)