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Medical Physics|May 31, 2013
Resolution modeling in PET imaging: theory, practice, benefits, and pitfallsArman Rahmim, Jinyi Qi, Vesna Sossi
Physics in Medicine and Biology|October 6, 2005
Statistical dynamic image reconstruction in state-of-the-art high-resolution PETArman Rahmim, Ju-Chieh Cheng, Stephan Blinder, et al.
Physics in Medicine and Biology|January 19, 2012
Direct 4D parametric imaging for linearized models of reversibly binding PET tracers using generalized AB-EM reconstructionArman Rahmim, Yun Zhou, Jing Tang, et al.
Physics in Medicine and Biology|April 4, 2007
A scatter-corrected list-mode reconstruction and a practical scatter/random approximation technique for dynamic PET imagingJu-Chieh Cheng, Arman Rahmim, Stephan Blinder, et al.
Medical Physics|February 3, 2021
Dynamic PET image reconstruction utilizing intrinsic data-driven HYPR4D denoising kernelJu-Chieh Kevin Cheng, Connor Bevington, Arman Rahmim, et al.
Computers in Biology and Medicine|July 9, 2019
Optimized machine learning methods for prediction of cognitive outcome in Parkinson's diseaseMohammad R Salmanpour, Mojtaba Shamsaei, Abdollah Saberi, et al.
Physica Medica : PM : an International Journal Devoted to the Applications of Physics to Medicine and Biology : Official Journal of the Italian Association of Biomedical Physics (AIFB)|January 10, 2020
Machine learning methods for optimal prediction of motor outcome in Parkinson's diseaseMohammad R Salmanpour, Mojtaba Shamsaei, Abdollah Saberi, et al.
Physica Medica : PM : an International Journal Devoted to the Applications of Physics to Medicine and Biology : Official Journal of the Italian Association of Biomedical Physics (AIFB)|August 14, 2023
Prediction of Parkinson's disease pathogenic variants using hybrid Machine learning systems and radiomic featuresGhasem Hajianfar, Samira Kalayinia, Mahdi Hosseinzadeh, et al.
Neuroimage. Clinical|December 21, 2016
Application of texture analysis to DAT SPECT imaging: Relationship to clinical assessmentsArman Rahmim, Yousef Salimpour, Saurabh Jain, et al.
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