Registration Accuracy of Patient-Specific, Three-Dimensional-Printed Prostate Molds for Correlating Pathology With Magnetic Resonance Imaging. - Alan Priester; Holden H. Wu; Pooria Khoshnoodi; Douglas Schneider; Zhaohuan Zhang; Nazanin H. Asvadi; Anthony Sisk; Steven S. Raman; Robert E. Reiter; Warren S. Grundfest; Leonard S. Marks; Shyam Natarajan (IEEE Trans. Biomed. Eng., 2019)

Monitoring Focal Laser Ablation with Interstitial Fluence Probes: Monte Carlo Simulation and Phantom Validation. - Rory Geoghegan; Alan Priester; Le Zhang; Holden H. Wu; Leonard S. Marks; Shyam Natarajan (EMBC, 2020)

A System for Co-Registration of High-Resolution Ultrasound, Magnetic Resonance Imaging, and Whole-Mount Pathology for Prostate Cancer. - Jake Pensa; Wayne Brisbane; Alan Priester; Anthony Sisk; Leonard S. Marks; Rory Geoghegan (EMBC, 2021)

Federated learning improves site performance in multicenter deep learning without data sharing. - Karthik V. Sarma; Stephanie A. Harmon; Thomas Sanford; Holger R. Roth; Ziyue Xu 001; Jesse Tetreault; Daguang Xu; Mona G. Flores; Alex G. Raman; Rushikesh Kulkarni; Bradford J. Wood; Peter L. Choyke; et al. (J. Am. Medical Informatics Assoc., 2021)

Attention-Guided Prostate Lesion Localization and Grade Group Classification with Multiple Instance Learning. - Ekaterina Redekop; Karthik V. Sarma; Adam Kinnaird; Anthony Sisk; Steven S. Raman; Leonard S. Marks; William Speier; Corey W. Arnold (MIDL, 2022)

Domain generalization for prostate segmentation in transrectal ultrasound images: A multi-center study. - Sulaiman Vesal; Iani J. M. B. Gayo; Indrani Bhattacharya; Shyam Natarajan; Leonard S. Marks; Dean C. Barratt; Richard E. Fan; Yipeng Hu; Geoffrey A. Sonn; Mirabela Rusu (Medical Image Anal., 2022)

Interstitial Optical Monitoring of Focal Laser Ablation. - Rory Geoghegan; Le Zhang; Alan Priester; Holden H. Wu; Leonard S. Marks; Shyam Natarajan (IEEE Trans. Biomed. Eng., 2022)

Deep Learning Classification of Prostate Cancer on Confidently Labeled Micro-Ultrasound Images. - Jake Pensa; Wayne Brisbane; Adam Kinnaird; David Kuppermann; Griffith Hughes; Derrick Ushko; Anthony Sisk; Leonard S. Marks; Rory Geoghegan (EMBC, 2024)

Development of an effective predictive screening tool for prostate cancer using the ClarityDX machine learning platform. - M. Eric Hyndman; Robert J. Paproski; Adam Kinnaird; Adrian Fairey; Leonard S. Marks; Christian P. Pavlovich; Sean A. Fletcher; Roman Zachoval; Vanda Adamcova; Jiri Stejskal; Armen Aprikian; Christopher J. D. Wallis; et al. (npj Digit. Medicine, 2024)

Increasing adherence and collecting symptom-specific biometric signals in remote monitoring of heart failure patients: a randomized controlled trial. - Sukanya Mohapatra; Mirna Issa; Vedrana Ivezic; Rose Doherty; Leonard S. Marks; Esther Lan; Shawn Chen; Keith Rozett; Lauren Cullen; Wren Reynolds; Rose Rocchio; Gregg C. Fonarow; et al. (J. Am. Medical Informatics Assoc., 2025)