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Plos One|October 1, 2024
Pre-operative prediction of BCR-free survival with mRNA variables in prostate cancerAutumn O'Donnell, Michael Cronin, Shirin Moghaddam, et al.
IEEE Transactions on Medical Imaging|September 12, 2022
Patient-Adaptive Population-Based Modeling of Arterial Input FunctionsZhaoyan Xiu, Mark Muzi, Jian Huang, et al.
Journal of Medical Imaging (Bellingham, Wash.)|August 2, 2022
Spatially coherent modeling of 3D FDG-PET data for assessment of intratumoral heterogeneity and uptake gradientsEric Wolsztynski, Finbarr O'Sullivan, Janet F Eary
Cancer Medicine|November 20, 2025
A Systematic Review on Machine Learning Techniques for Survival Analysis in CancerAutumn O'Donnell, Michael Cronin, Shirin Moghaddam, et al.
Cancers|February 25, 2023
Improving the Post-Operative Prediction of BCR-Free Survival Time with mRNA Variables and Machine LearningAutumn O'Donnell, Eric Wolsztynski, Michael Cronin, et al.
Journal of Medical Imaging (Bellingham, Wash.)|May 31, 2018
Positron emission tomography-based assessment of metabolic gradient and other prognostic features in sarcomaEric Wolsztynski, Finbarr O'Sullivan, Eimear Keyes, et al.
Wiley Interdisciplinary Reviews. Computational Statistics|October 23, 2012
Kinetic Analysis of Dynamic Positron Emission Tomography Data using Open-Source Image Processing and Statistical Inference ToolsDavid Hawe, Francisco R Hernández Fernández, Liam O'Suilleabháin, et al.
IEEE Transactions on Radiation and Plasma Medical Sciences|November 2, 2020
Combining structural and textural assessments of volumetric FDG-PET uptake in NSCLCEric Wolsztynski, Janet O'Sullivan, Nicola M Hughes, et al.
Annals of Intensive Care|March 7, 2025
End-of-life decision disparities according to the gross national income in critically ill patients: a secondary analysis of the ETHICUS-2 studyIgnacio Martin-Loeches, Charles L Sprung, Eric Wolsztynski, et al.
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