Zaidi H - Search Results

1

Unsupervised pseudo CT generation using heterogenous multicentric CT/MR images and CycleGAN: Dosimetric assessment for 3D conformal radiotherapy.

Jabbarpour A, Mahdavi SR, Vafaei Sadr A, Esmaili G, Shiri I, Zaidi H. Jabbarpour A, et al. Among authors: zaidi h. Comput Biol Med. 2022 Apr;143:105277. doi: 10.1016/j.compbiomed.2022.105277. Epub 2022 Jan 31. Comput Biol Med. 2022. PMID: 35123139

2

Atlas-guided generation of pseudo-CT images for MRI-only and hybrid PET-MRI-guided radiotherapy treatment planning.

Arabi H, Koutsouvelis N, Rouzaud M, Miralbell R, Zaidi H. Arabi H, et al. Among authors: zaidi h. Phys Med Biol. 2016 Sep 7;61(17):6531-52. doi: 10.1088/0031-9155/61/17/6531. Epub 2016 Aug 15. Phys Med Biol. 2016. PMID: 27524504

3

Assessment of uncertainties associated with Monte Carlo-based personalized dosimetry in clinical CT examinations.

Akhavanallaf A, Xie T, Zaidi H. Akhavanallaf A, et al. Among authors: zaidi h. Phys Med Biol. 2020 Feb 12;65(4):045008. doi: 10.1088/1361-6560/ab6b45. Phys Med Biol. 2020. PMID: 31935713

4

Radiomics for classification of bone mineral loss: A machine learning study.

Rastegar S, Vaziri M, Qasempour Y, Akhash MR, Abdalvand N, Shiri I, Abdollahi H, Zaidi H. Rastegar S, et al. Among authors: zaidi h. Diagn Interv Imaging. 2020 Sep;101(9):599-610. doi: 10.1016/j.diii.2020.01.008. Epub 2020 Feb 4. Diagn Interv Imaging. 2020. PMID: 32033913 Free article. Clinical Trial.

5

Next-Generation Radiogenomics Sequencing for Prediction of EGFR and KRAS Mutation Status in NSCLC Patients Using Multimodal Imaging and Machine Learning Algorithms.

Shiri I, Maleki H, Hajianfar G, Abdollahi H, Ashrafinia S, Hatt M, Zaidi H, Oveisi M, Rahmim A. Shiri I, et al. Among authors: zaidi h. Mol Imaging Biol. 2020 Aug;22(4):1132-1148. doi: 10.1007/s11307-020-01487-8. Mol Imaging Biol. 2020. PMID: 32185618

6

Noninvasive Fuhrman grading of clear cell renal cell carcinoma using computed tomography radiomic features and machine learning.

Nazari M, Shiri I, Hajianfar G, Oveisi N, Abdollahi H, Deevband MR, Oveisi M, Zaidi H. Nazari M, et al. Among authors: zaidi h. Radiol Med. 2020 Aug;125(8):754-762. doi: 10.1007/s11547-020-01169-z. Epub 2020 Mar 19. Radiol Med. 2020. PMID: 32193870

7

Cardiac SPECT radiomic features repeatability and reproducibility: A multi-scanner phantom study.

Edalat-Javid M, Shiri I, Hajianfar G, Abdollahi H, Arabi H, Oveisi N, Javadian M, Shamsaei Zafarghandi M, Malek H, Bitarafan-Rajabi A, Oveisi M, Zaidi H. Edalat-Javid M, et al. Among authors: zaidi h. J Nucl Cardiol. 2021 Dec;28(6):2730-2744. doi: 10.1007/s12350-020-02109-0. Epub 2020 Apr 24. J Nucl Cardiol. 2021. PMID: 32333282

8

Standard SPECT myocardial perfusion estimation from half-time acquisitions using deep convolutional residual neural networks.

Shiri I, AmirMozafari Sabet K, Arabi H, Pourkeshavarz M, Teimourian B, Ay MR, Zaidi H. Shiri I, et al. Among authors: zaidi h. J Nucl Cardiol. 2021 Dec;28(6):2761-2779. doi: 10.1007/s12350-020-02119-y. Epub 2020 Apr 28. J Nucl Cardiol. 2021. PMID: 32347527

9

Deep-JASC: joint attenuation and scatter correction in whole-body ¹⁸F-FDG PET using a deep residual network.

Shiri I, Arabi H, Geramifar P, Hajianfar G, Ghafarian P, Rahmim A, Ay MR, Zaidi H. Shiri I, et al. Among authors: zaidi h. Eur J Nucl Med Mol Imaging. 2020 Oct;47(11):2533-2548. doi: 10.1007/s00259-020-04852-5. Epub 2020 May 15. Eur J Nucl Med Mol Imaging. 2020. PMID: 32415552

10

Repeatability of radiomic features in magnetic resonance imaging of glioblastoma: Test-retest and image registration analyses.

Shiri I, Hajianfar G, Sohrabi A, Abdollahi H, P Shayesteh S, Geramifar P, Zaidi H, Oveisi M, Rahmim A. Shiri I, et al. Among authors: zaidi h. Med Phys. 2020 Sep;47(9):4265-4280. doi: 10.1002/mp.14368. Epub 2020 Jul 28. Med Phys. 2020. PMID: 32615647

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