Adam Kinnaird

According to our database, Adam Kinnaird authored at least 6 papers between 2022 and 2026.

Collaborative distances:

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

2026

ProstNFound+: A Prospective Study using Medical Foundation Models for Prostate Cancer Detection.

Paul F. R. Wilson, Mohamed Harmanani, Minh Nguyen Nhat To, Amoon Jamzad, Tarek Elghareb, Zhuoxin Guo, Adam Kinnaird, Brian Wodlinger, Purang Abolmaesumi, Parvin Mousavi

Int. J. Comput. Assist. Radiol. Surg., April, 2026

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

Mask Enhanced Deeply Supervised Prostate Cancer Detection on B-mode Micro-Ultrasound.

Lichun Zhang, Steve Ran Zhou, Moon Hyung Choi, Jeong Hoon Lee, Shengtian Sang, Adam Kinnaird, Wayne G. Brisbane, Giovanni Lughezzani, Davide Maffei, Vittorio Fasulo, Patrick Albers, Sulaiman Vesal, Wei Shao, Ahmed N. El Kaffas, Richard E. Fan, Geoffrey A. Sonn, Mirabela Rusu

CoRR, 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

Codebook VQ-VAE Approach for Prostate Cancer Diagnosis using Multiparametric MRI.

Ekaterina Redekop, Mara Pleasure, Zichen Wang, Karthik V. Sarma, Adam Kinnaird, William Speier, Corey W. Arnold

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

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