Kamali-Asl A - Search Results

1

Deep learning-based partial volume correction in standard and low-dose positron emission tomography-computed tomography imaging.

Azimi MS, Kamali-Asl A, Ay MR, Zeraatkar N, Hosseini MS, Sanaat A, Dadgar H, Arabi H. Azimi MS, et al. Among authors: kamali asl a. Quant Imaging Med Surg. 2024 Mar 15;14(3):2146-2164. doi: 10.21037/qims-23-871. Epub 2024 Jan 4. Quant Imaging Med Surg. 2024. PMID: 38545051 Free PMC article.

2

Accurate Monte Carlo modeling and performance assessment of the X-PET subsystem of the FLEX triumph preclinical PET/CT scanner.

Zeraatkar N, Ay MR, Kamali-Asl AR, Zaidi H. Zeraatkar N, et al. Med Phys. 2011 Mar;38(3):1217-25. doi: 10.1118/1.3547721. Med Phys. 2011. PMID: 21520834

3

Monte Carlo-based assessment of the trade-off between spatial resolution, field-of-view and scattered radiation in the variable resolution X-ray CT scanner.

Arabi H, Kamali Asl AR, Ay MR, Zaidi H. Arabi H, et al. Phys Med. 2015 Jul;31(5):510-6. doi: 10.1016/j.ejmp.2015.03.014. Epub 2015 Apr 11. Phys Med. 2015. PMID: 25873195

4

Compton scatter tomography in TOF-PET.

Hemmati H, Kamali-Asl A, Ay M, Ghafarian P. Hemmati H, et al. Phys Med Biol. 2017 Sep 12;62(19):7641-7658. doi: 10.1088/1361-6560/aa82ab. Phys Med Biol. 2017. PMID: 28749378

5

Deep learning-based denoising of low-dose SPECT myocardial perfusion images: quantitative assessment and clinical performance.

Aghakhan Olia N, Kamali-Asl A, Hariri Tabrizi S, Geramifar P, Sheikhzadeh P, Farzanefar S, Arabi H, Zaidi H. Aghakhan Olia N, et al. Among authors: kamali asl a. Eur J Nucl Med Mol Imaging. 2022 Apr;49(5):1508-1522. doi: 10.1007/s00259-021-05614-7. Epub 2021 Nov 15. Eur J Nucl Med Mol Imaging. 2022. PMID: 34778929 Free PMC article.

6

Hierarchical approach for pulmonary-nodule identification from CT images using YOLO model and a 3D neural network classifier.

Ahmadyar Y, Kamali-Asl A, Arabi H, Samimi R, Zaidi H. Ahmadyar Y, et al. Among authors: kamali asl a. Radiol Phys Technol. 2024 Mar;17(1):124-134. doi: 10.1007/s12194-023-00756-9. Epub 2023 Nov 18. Radiol Phys Technol. 2024. PMID: 37980315

7

Strategies for deep learning-based attenuation and scatter correction of brain ¹⁸ F-FDG PET images in the image domain.

Jahangir R, Kamali-Asl A, Arabi H, Zaidi H. Jahangir R, et al. Among authors: kamali asl a. Med Phys. 2024 Feb;51(2):870-880. doi: 10.1002/mp.16914. Epub 2024 Jan 10. Med Phys. 2024. PMID: 38197492

8

Attention-based deep neural network for partial volume correction in brain ¹⁸F-FDG PET imaging.

Azimi M, Kamali-Asl A, Ay MR, Zeraatkar N, Hosseini MS, Sanaat A, Arabi H. Azimi M, et al. Among authors: kamali asl a. Phys Med. 2024 Mar;119:103315. doi: 10.1016/j.ejmp.2024.103315. Epub 2024 Feb 19. Phys Med. 2024. PMID: 38377837

9

A Novel Framework for Automated Segmentation and Labeling of Homogeneous Versus Heterogeneous Lung Tumors in [¹⁸F]FDG-PET Imaging.

Soufi M, Kamali-Asl A, Geramifar P, Rahmim A. Soufi M, et al. Mol Imaging Biol. 2017 Jun;19(3):456-468. doi: 10.1007/s11307-016-1015-0. Mol Imaging Biol. 2017. PMID: 27770402

10

Low-dose 90Y PET/CT imaging optimized for lesion detectability and quantitative accuracy: a phantom study to assess the feasibility of pretherapy imaging to plan the therapeutic dose.

Khazaee M, Kamali-Asl A, Geramifar P, Rahmim A. Khazaee M, et al. Nucl Med Commun. 2017 Nov;38(11):985-997. doi: 10.1097/MNM.0000000000000742. Nucl Med Commun. 2017. PMID: 28902765

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