Rahmim, A.
223  results:
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1

Joint EANM/SNMMI guideline on radiomics in nuclear medicine:

Hatt, Mathieu ; Krizsán, Áron Krisztián ; Rahmim, A...
European Journal Of Nuclear Medicine And Molecular Imaging. -50 : 2 (2022), p. 352-375. -Eur. J. Nucl. Med. Mol. Imaging. - 1619-7070. - 1619-7089.  , 2022
 
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Decentralized collaborative multi-institutional PET attenua..:

Shiri, I ; Sadr, AV ; Akhavan, A...
European Journal of Nuclear Medicine and Molecular Imaging.  , 2022
 
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Machine learning-based prognostic modeling using clinical d..:

Shiri, I ; Sorouri, M ; Geramifar, P...
http://eprints.iums.ac.ir/39450/1/Machine%20learning-based%20prognostic%20modeling%20using%20clinical%20data%20and%20quantitative%20radiomic%20features%20from%20chest%20CT%20images%20in%20COVID-19%20patients.pdf.  , 2021
 
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Artificial Intelligence in PET: An Industry Perspective:

Sitek, A ; Ahn, S ; Asma, E...
https://discovery.ucl.ac.uk/id/eprint/10135491/1/PET-paper-preprint-07-04-2021.pdf.  , 2021
 
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Robust identification of Parkinson's disease subtypes using..:

Salmanpour, M.R ; Shamsaei, M ; Saberi, A...
Salmanpour, M.R. and Shamsaei, M. and Saberi, A. and Hajianfar, G. and Soltanian-Zadeh, H. and Rahmim, A. (2021) Robust identification of Parkinson's disease subtypes using radiomics and hybrid machine learning. Computers in Biology and Medicine, 129..  , 2021
 
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Repeatability of radiomic features in magnetic resonance im..:

Shiri, I ; Hajianfar, G ; Sohrabi, A...
Shiri, I. and Hajianfar, G. and Sohrabi, A. and Abdollahi, H. and P. Shayesteh, S. and Geramifar, P. and Zaidi, H. and Oveisi, M. and Rahmim, A. (2020) Repeatability of radiomic features in magnetic resonance imaging of glioblastoma: Test�retest and image registration analyses. Medical Physics, 47 (9). pp. 4265-4280..  , 2020
 
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Low Dose Radiation Therapy and Convalescent Plasma: How a H..:

Abdollahi, H ; Shiri Lord, Isaac ; Bevelacqua, J. J...
info:eu-repo/semantics/altIdentifier/doi/10.31661/jbpe.v0i0.2006-1125.  , 2020
 
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Low Dose Radiation Therapy and Convalescent Plasma: How a H..:

H Abdollahi ; I Shiri ; J J Bevelacqua...
https://jbpe.sums.ac.ir/article_46633_8cc1342d5ab6ca9c7fcdb0457485a667.pdf.  , 2020
 
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10

Next-Generation Radiogenomics Sequencing for Prediction of ..:

Shiri, I ; Maleki, H ; Hajianfar, G...
Shiri, I. and Maleki, H. and Hajianfar, G. and Abdollahi, H. and Ashrafinia, S. and Hatt, M. and Zaidi, H. and Oveisi, M. and Rahmim, A. (2020) Next-Generation Radiogenomics Sequencing for Prediction of EGFR and KRAS Mutation Status in NSCLC Patients Using Multimodal Imaging and Machine Learning Algorithms. Molecular Imaging and Biology, 22 (4). pp. 1132-1148..  , 2020
 
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Standardization in Quantitative Imaging: A Multicenter Comp..:

McNitt-Gray, M ; Napel, S ; Jaggi, A...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7289262/.  , 2020
 
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Deep-JASC: joint attenuation and scatter correction in whol..:

Shiri, I ; Arabi, H ; Geramifar, P...
http://eprints.iums.ac.ir/33983/1/Deep-JASC%20joint%20attenuation%20and%20scatter%20correction%20in%20whole-body%2018F-FDG%20PET%20using%20a%20deep%20residual%20network.pdf.  , 2020
 
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Low dose radiation therapy and convalescent plasma:How a hy..:

Abdollahi, H ; Shiri, I ; Bevelacqua, J. J...
Abdollahi , H , Shiri , I , Bevelacqua , J J , Jafarzadeh , A , Rahmim , A , Zaidi , H , Mortazavi , S A R & Mortazavi , S M J 2020 , ' Low dose radiation therapy and convalescent plasma : How a hybrid method may maximize benefits for covid-19 patients ' , Journal of Biomedical Physics and Engineering , vol. 10 , no. 4 , pp. 387-394 . https://doi.org/10.31661/jbpe.v0i0.2006-1125.  , 2020
 
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Impact of image reconstruction methods on quantitative accu..:

Ketabi, A ; Ghafarian, P ; Mosleh-Shirazi, M.A...
Ketabi, A. and Ghafarian, P. and Mosleh-Shirazi, M.A. and Mahdavi, S.R. and Rahmim, A. and Ay, M.R. (2019) Impact of image reconstruction methods on quantitative accuracy and variability of FDG-PET volumetric and textural measures in solid tumors. European Radiology, 29 (4). pp. 2146-2156..  , 2019
 
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