Jordan D. Fuhrman

11 papers B 1Journal 3Unranked 7
YearRankTypeTitle / Venue / Authors
2025 J jnl
Multi-institutional development and testing of attention-enhanced deep learning segmentation of thyroid nodules on ultrasound.
Int. J. Comput. Assist. Radiol. Surg.
Joseph L. Cozzi, Hui Li, Jordan D. Fuhrman, Li Lan, Jelani Williams, Brendan Finnerty, Thomas J. Fahey, Abhinay Tumati, Joshua Genender, Xavier M. Keutgen, Maryellen L. Giger
2023 B conf
APPFLx: Providing Privacy-Preserving Cross-Silo Federated Learning as a Service.
e-Science
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
2023 J jnl
APPFLx: Providing Privacy-Preserving Cross-Silo Federated Learning as a Service.
CoRR
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
2023 — conf
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.
Computer-Aided Diagnosis
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
2023 J jnl
Enabling End-to-End Secure Federated Learning in Biomedical Research on Heterogeneous Computing Environments with APPFLx.
CoRR
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
2021 — conf
Application and generalizability of U-Net segmentation of immune cells in inflamed tissue.
Digital Pathology
Rebecca Abraham, Madeleine S. Durkee, Margaret Veselits, Junting Ai, Jordan D. Fuhrman, Marcus R. Clark, Maryellen L. Giger
2021 — conf
Comparison of 2D and 3D U-Net breast lesion segmentations on DCE-MRI.
Computer-Aided Diagnosis
Roma Bhattacharjee, Lindsay Douglas, Karen Drukker, Qiyuan Hu, Jordan D. Fuhrman, Deepa Sheth, Maryellen L. Giger
2021 — conf
Radiomic texture analysis for the assessment of osteoporosis on low-dose thoracic CT scans.
Computer-Aided Diagnosis
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
2020 — conf
Cascade of U-Nets in the detection and classification of coronary artery calcium in thoracic low-dose CT.
Computer-Aided Diagnosis
Jordan D. Fuhrman, Rowena Yip, Artit C. Jirapatnakul, Claudia I. Henschke, David F. Yankelevitz, Maryellen L. Giger
2020 — conf
Effect of observer variability and training cases on U-Net segmentation performance.
Image Perception, Observer Performance, and Technology Assessment
Jordan D. Fuhrman, Peter Halloran, Rowena Yip, Artit C. Jirapatnakul, Claudia I. Henschke, David F. Yankelevitz, Maryellen L. Giger
2019 — conf
Detection and classification of coronary artery calcifications in low dose thoracic CT using deep learning.
Computer-Aided Diagnosis
Jordan D. Fuhrman, Jennie Crosby, Rowena Yip, Claudia I. Henschke, David F. Yankelevitz, Maryellen L. Giger