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ORCIDJordan D. Fuhrman
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2020 – today
- 2023
[c8]Zilinghan Li, Shilan He, Pranshu Chaturvedi, Trung-Hieu Hoang, Minseok Ryu, Eliu 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: 1-4- [c7]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 - [i2]Zilinghan Li, Shilan He, Pranshu Chaturvedi, Trung-Hieu Hoang, Minseok Ryu, Eliu 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 abs/2308.08786 (2023) - [i1]Trung-Hieu Hoang, Jordan D. Fuhrman, Ravi K. Madduri, Miao Li, Pranshu Chaturvedi, Zilinghan Li, Kibaek Kim, Minseok Ryu, Ryan Chard, Eliu A. Huerta, Maryellen L. Giger:
Enabling End-to-End Secure Federated Learning in Biomedical Research on Heterogeneous Computing Environments with APPFLx. CoRR abs/2312.08701 (2023) - 2021
- [c6]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 - [c5]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 - [c4]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 - 2020
- [c3]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 - [c2]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: 113160T
2010 – 2019
- 2019
- [c1]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: 1095039
Coauthor Index
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