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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.
Journal of Applied Clinical Medical Physics|April 18, 2022
Dosimetric considerations for moldable silicone composites used in radiotherapy applicationsGhada Aldosary, Jason Belec, Claire Foottit, et al.
Neuroimage|July 7, 2012
Imaging DA release in a rat model of L-DOPA-induced dyskinesias: a longitudinal in vivo PET investigation of the antidyskinetic effect of MDMANadine Y Lettfuss, Kristina Fischer, Vesna Sossi, et al.
Medical Physics|April 27, 2017
Manganese concentration mapping in the rat brain with MRI, PET, and autoradiographyGeoffrey J Topping, Andrew Yung, Paul Schaffer, et al.
Journal of Applied Clinical Medical Physics|September 12, 2022
A dose perturbation tool for robotic radiosurgery: Experimental validation and application to liver lesionsMing Liu, Joanna E Cygler, Kristopher Dennis, et al.
Physics in Medicine and Biology|June 24, 2017
Incorporating HYPR de-noising within iterative PET reconstruction (HYPR-OSEM)Ju-Chieh Kevin Cheng, Julian Matthews, Vesna Sossi, 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.
European Journal of Nuclear Medicine and Molecular Imaging|August 11, 2010
Levodopa and pramipexole effects on presynaptic dopamine PET markers and estimated dopamine releaseVesna Sossi, Katherine Dinelle, Michael Schulzer, 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.
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