Robert S. Mannel

According to our database, Robert S. Mannel authored at least 6 papers between 2017 and 2023.

Collaborative distances:

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

2023

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 Moore, Robert S. Mannel, Yuchen Qiu

CoRR, 2023

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 Moore, Robert S. Mannel, Hong Liu, Bin Zheng, Yuchen Qiu

Medical Image Anal., 2022

Virtual Adversarial Training for Semi-supervised Breast Mass Classification.

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

CoRR, 2021

2020

Developing a new radiomics-based CT image marker to detect lymph node metastasis among cervical cancer patients.

Xuxin Chen, Wei Liu, Theresa C. Thai, Tara Castellano, Camille C. Gunderson, Kathleen Moore, Robert S. Mannel, Hong Liu, Bin Zheng, Yuchen Qiu

Comput. Methods Programs Biomed., 2020

2017

Apply radiomics approach for early stage prognostic evaluation of ovarian cancer patients: a preliminary study.

Gopichandh Danala, Yunzhi Wang, Theresa C. Thai, Camille Gunderson, Katherine Moxley, Kathleen N. Moore, Robert S. Mannel, Hong Liu, Bin Zheng, Yuchen Qiu

Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017