Kathleen N. Moore

15 papers Journal 10Unranked 5
YearRankTypeTitle / Venue / Authors
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
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
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
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
2020 J jnl
Developing a new radiomics-based CT image marker to detect lymph node metastasis among cervical cancer patients.
Comput. Methods Programs Biomed.
Xuxin Chen, Wei Liu, Theresa C. Thai, Tara Castellano, Camille C. Gunderson, Kathleen N. Moore, Robert S. Mannel, Hong Liu, Bin Zheng, Yuchen Qiu
2017 J jnl
A two-step convolutional neural network based computer-aided detection scheme for automatically segmenting adipose tissue volume depicting on CT images.
Comput. Methods Programs Biomed.
Yunzhi Wang, Yuchen Qiu, Theresa C. Thai, Kathleen N. Moore, Hong Liu, Bin Zheng
2017 — conf
Apply radiomics approach for early stage prognostic evaluation of ovarian cancer patients: a preliminary study.
Computer-Aided Diagnosis
Gopichandh Danala, Yunzhi Wang, Theresa C. Thai, Camille Gunderson, Katherine Moxley, Kathleen N. Moore, Robert S. Mannel, Hong Liu, Bin Zheng, Yuchen Qiu
2017 — conf
Applying a deep learning based CAD scheme to segment and quantify visceral and subcutaneous fat areas from CT images.
Computer-Aided Diagnosis
Yunzhi Wang, Yuchen Qiu, Theresa C. Thai, Kathleen N. Moore, Hong Liu, Bin Zheng
2016 — conf
A B-spline image registration based CAD scheme to evaluate drug treatment response of ovarian cancer patients.
Computer-Aided Diagnosis
Maxine Tan, Zheng Li, Kathleen N. Moore, Theresa C. Thai, Kai Ding, Hong Liu, Bin Zheng
2016 J jnl
A New Approach to Evaluate Drug Treatment Response of Ovarian Cancer Patients Based on Deformable Image Registration.
IEEE Trans. Medical Imaging
Maxine Tan, Zheng Li, Yuchen Qiu, Scott D. McMeekin, Theresa C. Thai, Kai Ding, Kathleen N. Moore, Hong Liu, Bin Zheng
2016 J jnl
Applying a computer-aided scheme to detect a new radiographic image marker for prediction of chemotherapy outcome.
BMC Medical Imaging
Yunzhi Wang, Yuchen Qiu, Theresa C. Thai, Kathleen N. Moore, Hong Liu, Bin Zheng
2016 — conf
Applying quantitative adiposity feature analysis models to predict benefit of bevacizumab-based chemotherapy in ovarian cancer patients.
Computer-Aided Diagnosis
Yunzhi Wang, Yuchen Qiu, Theresa C. Thai, Kathleen N. Moore, Kai Ding, Hong Liu, Bin Zheng
2015 — conf
Evaluation of chemotherapy response in ovarian cancer treatment using quantitative CT image biomarkers: a preliminary study.
Computer-Aided Diagnosis
Yuchen Qiu, Maxine Tan, Scott D. McMeekin, Theresa C. Thai, Kathleen N. Moore, Kai Ding, Hong Liu, Bin Zheng