Detection and classification of coronary artery calcifications in low dose thoracic CT using deep learning. - Jordan D. Fuhrman; Jennie Crosby; Rowena Yip; Claudia I. Henschke; David F. Yankelevitz; Maryellen L. Giger (Computer-Aided Diagnosis, 2019)

Cascade of U-Nets in the detection and classification of coronary artery calcium in thoracic low-dose CT. - Jordan D. Fuhrman; Rowena Yip; Artit C. Jirapatnakul; Claudia I. Henschke; David F. Yankelevitz; Maryellen L. Giger (Computer-Aided Diagnosis, 2020)

Effect of observer variability and training cases on U-Net segmentation performance. - Jordan D. Fuhrman; Peter Halloran; Rowena Yip; Artit C. Jirapatnakul; Claudia I. Henschke; David F. Yankelevitz; Maryellen L. Giger (Image Perception, Observer Performance, and Technology Assessment, 2020)

Comparison of 2D and 3D U-Net breast lesion segmentations on DCE-MRI. - Roma Bhattacharjee; Lindsay Douglas; Karen Drukker; Qiyuan Hu; Jordan D. Fuhrman; Deepa Sheth; Maryellen L. Giger (Computer-Aided Diagnosis, 2021)

Radiomic texture analysis for the assessment of osteoporosis on low-dose thoracic CT scans. - Jordan D. Fuhrman; Linnea Kremer; Yeqing Zhu; Rowena Yip; Feng Li 018; Li Lan; Hui Li 024; Artit C. Jirapatnakul; Claudia I. Henschke; David F. Yankelevitz; Maryellen L. Giger (Computer-Aided Diagnosis, 2021)

Application and generalizability of U-Net segmentation of immune cells in inflamed tissue. - Rebecca Abraham; Madeleine S. Durkee; Margaret Veselits; Junting Ai; Jordan D. Fuhrman; Marcus R. Clark; Maryellen L. Giger (Digital Pathology, 2021)

APPFLx: Providing Privacy-Preserving Cross-Silo Federated Learning as a Service. - 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 (e-Science, 2023)

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. - Lin Guo; Kunlei Hong; Ziqi Zhang; Bin Zheng 001; Stefan Jaeger 001; Jordan D. Fuhrman; Hui Li 024; Maryellen L. Giger; Andrei Gabrielian; Alex Rosenthal; Darrell E. Hurt; Ziv Yaniv; et al. (Computer-Aided Diagnosis, 2023)

Enabling End-to-End Secure Federated Learning in Biomedical Research on Heterogeneous Computing Environments with APPFLx. - 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 (CoRR, 2023)

Multi-institutional development and testing of attention-enhanced deep learning segmentation of thyroid nodules on ultrasound. - Joseph L. Cozzi; Hui Li 024; Jordan D. Fuhrman; Li Lan; Jelani Williams; Brendan Finnerty; Thomas J. Fahey; Abhinay Tumati; Joshua Genender; Xavier M. Keutgen; Maryellen L. Giger (Int. J. Comput. Assist. Radiol. Surg., 2025)