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Hossein ARABI
Hossein ARABI
Associate researcher, University of Geneva
Bestätigte E-Mail-Adresse bei unige.ch
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Zitiert von
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The promise of artificial intelligence and deep learning in PET and SPECT imaging
H Arabi, A AkhavanAllaf, A Sanaat, I Shiri, H Zaidi
Physica Medica 83, 122-137, 2021
1802021
Vision 20/20: magnetic resonance imaging‐guided attenuation correction in PET/MRI: challenges, solutions, and opportunities
A Mehranian, H Arabi, H Zaidi
Medical physics 43 (3), 1130-1155, 2016
1582016
Applications of artificial intelligence and deep learning in molecular imaging and radiotherapy
H Arabi, H Zaidi
European Journal of Hybrid Imaging 4 (1), 17, 2020
1422020
Comparative study of algorithms for synthetic CT generation from MRI: Consequences for MRI‐guided radiation planning in the pelvic region
H Arabi, JA Dowling, N Burgos, X Han, PB Greer, N Koutsouvelis, H Zaidi
Medical physics 45 (11), 5218-5233, 2018
1272018
Atlas-guided generation of pseudo-CT images for MRI-only and hybrid PET–MRI-guided radiotherapy treatment planning
H Arabi, N Koutsouvelis, M Rouzaud, R Miralbell, H Zaidi
Physics in Medicine & Biology 61 (17), 6531, 2016
1062016
Deep learning-assisted ultra-fast/low-dose whole-body PET/CT imaging
A Sanaat, I Shiri, H Arabi, I Mainta, R Nkoulou, H Zaidi
European journal of nuclear medicine and molecular imaging 48, 2405-2415, 2021
1032021
Projection Space Implementation of Deep Learning–Guided Low-Dose Brain PET Imaging Improves Performance over Implementation in Image Space
A Sanaat, H Arabi, I Mainta, V Garibotto, H Zaidi
Journal of Nuclear Medicine 61 (9), 1388-1396, 2020
1022020
Machine learning-based prognostic modeling using clinical data and quantitative radiomic features from chest CT images in COVID-19 patients
I Shiri, M Sorouri, P Geramifar, M Nazari, M Abdollahi, Y Salimi, ...
Computers in biology and medicine 132, 104304, 2021
962021
Ultra-low-dose chest CT imaging of COVID-19 patients using a deep residual neural network
I Shiri, A Akhavanallaf, A Sanaat, Y Salimi, D Askari, Z Mansouri, ...
European radiology 31, 1420-1431, 2021
962021
A new deep convolutional neural network design with efficient learning capability: Application to CT image synthesis from MRI
A Bahrami, A Karimian, E Fatemizadeh, H Arabi, H Zaidi
Medical Physics 47 (10), 5158-5171, 2020
962020
Novel adversarial semantic structure deep learning for MRI-guided attenuation correction in brain PET/MRI
H Arabi, G Zeng, G Zheng, H Zaidi
European journal of nuclear medicine and molecular imaging 46, 2746-2759, 2019
962019
Deep-JASC: joint attenuation and scatter correction in whole-body 18F-FDG PET using a deep residual network
I Shiri, H Arabi, P Geramifar, G Hajianfar, P Ghafarian, A Rahmim, MR Ay, ...
European journal of nuclear medicine and molecular imaging 47, 2533-2548, 2020
902020
Standard SPECT myocardial perfusion estimation from half-time acquisitions using deep convolutional residual neural networks
I Shiri, KAM Sabet, H Arabi, M Pourkeshavarz, B Teimourian, MR Ay, ...
Journal of Nuclear Cardiology 28 (6), 2761-2779, 2021
722021
Whole-body voxel-based internal dosimetry using deep learning
A Akhavanallaf, I Shiri, H Arabi, H Zaidi
European Journal of Nuclear Medicine and Molecular Imaging 48, 670-682, 2021
712021
Deep learning‐guided joint attenuation and scatter correction in multitracer neuroimaging studies
H Arabi, K Bortolin, N Ginovart, V Garibotto, H Zaidi
Human brain mapping 41 (13), 3667-3679, 2020
692020
Comparison of different deep learning architectures for synthetic CT generation from MR images
A Bahrami, A Karimian, H Arabi
Physica Medica 90, 99-107, 2021
642021
Clinical assessment of MR-guided 3-class and 4-class attenuation correction in PET/MR
H Arabi, O Rager, A Alem, A Varoquaux, M Becker, H Zaidi
Molecular imaging and biology 17, 264-276, 2015
632015
Spatially guided nonlocal mean approach for denoising of PET images
H Arabi, H Zaidi
Medical Physics 47 (4), 1656-1669, 2020
622020
Quantitative analysis of MRI-guided attenuation correction techniques in time-of-flight brain PET/MRI
A Mehranian, H Arabi, H Zaidi
Neuroimage 130, 123-133, 2016
622016
Cardiac SPECT radiomic features repeatability and reproducibility: A multi-scanner phantom study
M Edalat-Javid, I Shiri, G Hajianfar, H Abdollahi, H Arabi, N Oveisi, ...
Journal of Nuclear Cardiology 28 (6), 2730-2744, 2021
612021
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