Leonard S. Marks

According to our database, Leonard S. Marks authored at least 10 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

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, Michael K. Ong, William Speier, Corey W. Arnold

J. Am. Medical Informatics Assoc., 2025

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, Desmond Pink, Catalina Vasquez, Perrin H. Beatty, John D. Lewis

npj Digit. Medicine, 2024

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

Proceedings of the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2024

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

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

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

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022

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, Jesse Tetreault, Daguang Xu, Mona G. Flores, Alex G. Raman, Rushikesh Kulkarni, Bradford J. Wood, Peter L. Choyke, Alan Priester, Leonard S. Marks, Steven S. Raman, Dieter Enzmann, Baris Turkbey, William Speier, Corey W. Arnold

J. Am. Medical Informatics Assoc., 2021

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

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020

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

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

2019

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