Leonard S. Marks

11 papers Journal 7Unranked 4
YearRankTypeTitle / Venue / Authors
2025 J jnl
Increasing adherence and collecting symptom-specific biometric signals in remote monitoring of heart failure patients: a randomized controlled trial.
J. Am. Medical Informatics Assoc.
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
2024 — conf
Deep Learning Classification of Prostate Cancer on Confidently Labeled Micro-Ultrasound Images.
EMBC
Jake Pensa, Wayne Brisbane, Adam Kinnaird, David Kuppermann, Griffith Hughes, Derrick Ushko, Anthony Sisk, Leonard S. Marks, Rory Geoghegan
2024 J jnl
Development of an effective predictive screening tool for prostate cancer using the ClarityDX machine learning platform.
npj Digit. Medicine
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
2022 — conf
Attention-Guided Prostate Lesion Localization and Grade Group Classification with Multiple Instance Learning.
MIDL
Ekaterina Redekop, Karthik V. Sarma, Adam Kinnaird, Anthony Sisk, Steven S. Raman, Leonard S. Marks, William Speier, Corey W. Arnold
2022 J jnl
Domain Generalization for Prostate Segmentation in Transrectal Ultrasound Images: A Multi-center Study.
CoRR
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
2022 J jnl
Domain generalization for prostate segmentation in transrectal ultrasound images: A multi-center study.
Medical Image Anal.
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
2022 J jnl
Interstitial Optical Monitoring of Focal Laser Ablation.
IEEE Trans. Biomed. Eng.
Rory Geoghegan, Le Zhang, Alan Priester, Holden H. Wu, Leonard S. Marks, Shyam Natarajan
2021 — conf
A System for Co-Registration of High-Resolution Ultrasound, Magnetic Resonance Imaging, and Whole-Mount Pathology for Prostate Cancer.
EMBC
Jake Pensa, Wayne Brisbane, Alan Priester, Anthony Sisk, Leonard S. Marks, Rory Geoghegan
2021 J jnl
Federated learning improves site performance in multicenter deep learning without data sharing.
J. Am. Medical Informatics Assoc.
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
2020 — conf
Monitoring Focal Laser Ablation with Interstitial Fluence Probes: Monte Carlo Simulation and Phantom Validation.
EMBC
Rory Geoghegan, Alan Priester, Le Zhang, Holden H. Wu, Leonard S. Marks, Shyam Natarajan
2019 J jnl
Registration Accuracy of Patient-Specific, Three-Dimensional-Printed Prostate Molds for Correlating Pathology With Magnetic Resonance Imaging.
IEEE Trans. Biomed. Eng.
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