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Journal of Medical Imaging (Bellingham, Wash.)|November 28, 2025
Federated learning in computational pathology: a literature reviewSonal Shukla, Scott Doyle
Scientific Reports|June 14, 2022
Enhancing biomedical data validity with standardized segmentation finite element analysisMatthew A Wysocki, Scott Doyle
Medical Physics|February 27, 2023
The role of anatomical context in soft-tissue multi-organ segmentation of cadaveric non-contrast-enhanced whole body CTSteven Lewis, Stuart Inglis, Scott Doyle
Lung Cancer (Amsterdam, Netherlands)|May 10, 2008
Health state utility scores in advanced non-small cell lung cancerScott Doyle, Andrew Lloyd, Mel Walker
Journal of Pathology Informatics|July 14, 2015
Content-based image retrieval of digitized histopathology in boosted spectrally embedded spacesAkshay Sridhar, Scott Doyle, Anant Madabhushi
Indian Journal of Psychological Medicine|November 26, 2025
Initial Insights into ICD-11 Complex PTSD and Emotional Distress in Emerging Adults in India: Prevalence, Predictors, and Psychosocial CorrelatesManoj K Pandey, Sonal Shukla, Prabha Mishra, et al.
Computer Methods in Biomechanics and Biomedical Engineering. Imaging & Visualization|May 8, 2018
A resolution adaptive deep hierarchical (RADHicaL) learning scheme applied to nuclear segmentation of digital pathology imagesAndrew Janowczyk, Scott Doyle, Hannah Gilmore, et al.
IEEE Transactions on Bio-Medical Engineering|June 24, 2010
A boosted Bayesian multiresolution classifier for prostate cancer detection from digitized needle biopsiesScott Doyle, Michael Feldman, John Tomaszewski, et al.
The European Journal of Health Economics : HEPAC : Health Economics in Prevention and Care|November 27, 2007
Preferences and utilities for the symptoms of moderate to severe allergic asthmaAndrew Lloyd, Scott Doyle, Sarah Dewilde, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|March 16, 2007
A boosting cascade for automated detection of prostate cancer from digitized histologyScott Doyle, Anant Madabhushi, Michael Feldman, et al.
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