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Arman Rahmim

Showing results (11-20 of 305) with videos related to

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PET Clinics|October 31, 2025
From Computation to Care: Realizing a Patient-Centered Future in Clinical Nuclear Oncology and TheranosticsArman Rahmim, Kuangyu Shi, Babak Saboury
PET Clinics|September 19, 2021
PET and AI Trajectories Finally Coming into AlignmentBabak Saboury, Arman Rahmim, Eliot Siegel
Medical Physics|June 25, 2017
MRI-assisted dual motion correction for myocardial perfusion defect detection in PET imagingXinhui Wang, Arman Rahmim, Jing Tang
Medical Physics|May 31, 2013
Resolution modeling in PET imaging: theory, practice, benefits, and pitfallsArman Rahmim, Jinyi Qi, Vesna Sossi
Computer Methods and Programs in Biomedicine|May 20, 2021
Feature selection and machine learning methods for optimal identification and prediction of subtypes in Parkinson's diseaseMohammad R Salmanpour, Mojtaba Shamsaei, Arman Rahmim
Cancers|September 28, 2024
Model-Informed Radiopharmaceutical Therapy Optimization: A Study on the Impact of PBPK Model Parameters on Physical, Biological, and Statistical Measures in <sup>177</sup>Lu-PSMA TherapyHamid Abdollahi, Ali Fele-Paranj, Arman Rahmim
IEEE Transactions on Radiation and Plasma Medical Sciences|March 25, 2021
PET Parametric Imaging: Past, Present, and FutureGuobao Wang, Arman Rahmim, Roger N Gunn
Computers in Biology and Medicine|April 23, 2021
Improved motor outcome prediction in Parkinson's disease applying deep learning to DaTscan SPECT imagesMatthew P Adams, Arman Rahmim, Jing Tang
Arxiv|July 18, 2023
Application of Spherical Convolutional Neural Networks to Image Reconstruction and Denoising in Nuclear MedicineAmirreza Hashemi, Yuemeng Feng, Arman Rahmim, et al.
Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine|July 21, 2009
A practical, automated quality assurance method for measuring spatial resolution in PETMartin A Lodge, Arman Rahmim, Richard L Wahl
Pageof 31

Showing results (11-20 of 305) with videos related to

Sort By:
Pageof 31
PET Clinics|October 31, 2025
From Computation to Care: Realizing a Patient-Centered Future in Clinical Nuclear Oncology and TheranosticsArman Rahmim, Kuangyu Shi, Babak Saboury
PET Clinics|September 19, 2021
PET and AI Trajectories Finally Coming into AlignmentBabak Saboury, Arman Rahmim, Eliot Siegel
Medical Physics|June 25, 2017
MRI-assisted dual motion correction for myocardial perfusion defect detection in PET imagingXinhui Wang, Arman Rahmim, Jing Tang
Medical Physics|May 31, 2013
Resolution modeling in PET imaging: theory, practice, benefits, and pitfallsArman Rahmim, Jinyi Qi, Vesna Sossi
Computer Methods and Programs in Biomedicine|May 20, 2021
Feature selection and machine learning methods for optimal identification and prediction of subtypes in Parkinson's diseaseMohammad R Salmanpour, Mojtaba Shamsaei, Arman Rahmim
Cancers|September 28, 2024
Model-Informed Radiopharmaceutical Therapy Optimization: A Study on the Impact of PBPK Model Parameters on Physical, Biological, and Statistical Measures in <sup>177</sup>Lu-PSMA TherapyHamid Abdollahi, Ali Fele-Paranj, Arman Rahmim
IEEE Transactions on Radiation and Plasma Medical Sciences|March 25, 2021
PET Parametric Imaging: Past, Present, and FutureGuobao Wang, Arman Rahmim, Roger N Gunn
Computers in Biology and Medicine|April 23, 2021
Improved motor outcome prediction in Parkinson's disease applying deep learning to DaTscan SPECT imagesMatthew P Adams, Arman Rahmim, Jing Tang
Arxiv|July 18, 2023
Application of Spherical Convolutional Neural Networks to Image Reconstruction and Denoising in Nuclear MedicineAmirreza Hashemi, Yuemeng Feng, Arman Rahmim, et al.
Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine|July 21, 2009
A practical, automated quality assurance method for measuring spatial resolution in PETMartin A Lodge, Arman Rahmim, Richard L Wahl
Pageof 31