Jordan D. Fuhrman

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 10

Top Topics

Top Venues

Medical Imaging: Computer-Aided Diagnosis

Medical Imaging: Image Perception, Observer Performance, and Technology Assessment

Publications

Lin Guo, Kunlei Hong, Ziqi Zhang, Bin Zheng, Stefan Jaeger, Jordan D. Fuhrman, Hui Li, Maryellen L. Giger, Andrei Gabrielian, Alex Rosenthal, Darrell E. Hurt, Ziv Yaniv, Y. M. Fleming Lure
Assessing an AI-based smart imagery framing and truthing (SIFT) system to assist radiologists annotating lung abnormalities on chest x-ray images for development of deep learning models. Medical Imaging: Computer-Aided Diagnosis (2023)
Zilinghan Li, Shilan He, Pranshu Chaturvedi, Trung-Hieu Hoang, Minseok Ryu, E. A. Huerta, Volodymyr V. Kindratenko, Jordan D. Fuhrman, Maryellen L. Giger, Ryan Chard, Kibaek Kim, Ravi K. Madduri
APPFLx: Providing Privacy-Preserving Cross-Silo Federated Learning as a Service. e-Science (2023)
Trung-Hieu Hoang, Jordan D. Fuhrman, Ravi K. Madduri, Miao Li, Pranshu Chaturvedi, Zilinghan Li, Kibaek Kim, Minseok Ryu, Ryan Chard, E. A. Huerta, Maryellen L. Giger
Enabling End-to-End Secure Federated Learning in Biomedical Research on Heterogeneous Computing Environments with APPFLx. CoRR (2023)
Zilinghan Li, Shilan He, Pranshu Chaturvedi, Trung-Hieu Hoang, Minseok Ryu, E. A. Huerta, Volodymyr V. Kindratenko, Jordan D. Fuhrman, Maryellen L. Giger, Ryan Chard, Kibaek Kim, Ravi K. Madduri
APPFLx: Providing Privacy-Preserving Cross-Silo Federated Learning as a Service. CoRR (2023)
Roma Bhattacharjee, Lindsay Douglas, Karen Drukker, Qiyuan Hu, Jordan D. Fuhrman, Deepa Sheth, Maryellen L. Giger
Comparison of 2D and 3D U-Net breast lesion segmentations on DCE-MRI. Medical Imaging: Computer-Aided Diagnosis (2021)
Jordan D. Fuhrman, Linnea Kremer, Yeqing Zhu, Rowena Yip, Feng Li, Li Lan, Hui Li, Artit C. Jirapatnakul, Claudia I. Henschke, David F. Yankelevitz, Maryellen L. Giger
Radiomic texture analysis for the assessment of osteoporosis on low-dose thoracic CT scans. Medical Imaging: Computer-Aided Diagnosis (2021)
Rebecca Abraham, Madeleine S. Durkee, Margaret Veselits, Junting Ai, Jordan D. Fuhrman, Marcus R. Clark, Maryellen L. Giger
Application and generalizability of U-Net segmentation of immune cells in inflamed tissue. Medical Imaging: Digital Pathology (2021)
Jordan D. Fuhrman, Peter Halloran, Rowena Yip, Artit C. Jirapatnakul, Claudia I. Henschke, David F. Yankelevitz, Maryellen L. Giger
Effect of observer variability and training cases on U-Net segmentation performance. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2020)
Jordan D. Fuhrman, Rowena Yip, Artit C. Jirapatnakul, Claudia I. Henschke, David F. Yankelevitz, Maryellen L. Giger
Cascade of U-Nets in the detection and classification of coronary artery calcium in thoracic low-dose CT. Medical Imaging: Computer-Aided Diagnosis (2020)
Jordan D. Fuhrman, Jennie Crosby, Rowena Yip, Claudia I. Henschke, David F. Yankelevitz, Maryellen L. Giger
Detection and classification of coronary artery calcifications in low dose thoracic CT using deep learning. Medical Imaging: Computer-Aided Diagnosis (2019)