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Rezvan Samimi

Showing results (1-10 of 10) with videos related to

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Medical & Biological Engineering & Computing|April 15, 2025
Automated pulmonary nodule classification from low-dose CT images using ERBNet: an ensemble learning approachYashar Ahmadyar, Alireza Kamali-Asl, Rezvan Samimi, et al.
Radiological Physics and Technology|November 18, 2023
Hierarchical approach for pulmonary-nodule identification from CT images using YOLO model and a 3D neural network classifierYashar Ahmadyar, Alireza Kamali-Asl, Hossein Arabi, et al.
Physica Medica : PM : an International Journal Devoted to the Applications of Physics to Medicine and Biology : Official Journal of the Italian Association of Biomedical Physics (AIFB)|November 14, 2020
Short-duration dynamic FDG PET imaging: Optimization and clinical applicationRezvan Samimi, Alireza Kamali-Asl, Parham Geramifar, et al.
Physica Medica : PM : an International Journal Devoted to the Applications of Physics to Medicine and Biology : Official Journal of the Italian Association of Biomedical Physics (AIFB)|April 16, 2024
Dual time-point [<sup>18</sup>F]FDG PET imaging for quantification of metabolic uptake rate: Evaluation of a simple, clinically feasible methodRezvan Samimi, Alireza Kamali-Asl, Yashar Ahmadyar, et al.
Molecular Imaging and Radionuclide Therapy|October 7, 2024
Deep-learning-based Attenuation Correction for <sup>68</sup>Ga-DOTATATE Whole-body PET Imaging: A Dual-center Clinical StudyMahsa Sobhi Lord, Jalil Pirayesh Islamian, Negisa Seyyedi, et al.
Nuclear Medicine Communications|September 3, 2024
Automatic detection and segmentation of lesions in 18 F-FDG PET/CT imaging of patients with Hodgkin lymphoma using 3D dense U-NetMohammad Amin Izadi, Nafiseh Alemohammad, Parham Geramifar, et al.
EJNMMI Research|July 26, 2023
Radiomics predictive modeling from dual-time-point FDG PET K<sub>i</sub> parametric maps: application to chemotherapy response in lymphomaRezvan Samimi, Isaac Shiri, Yashar Ahmadyar, et al.
Frontiers in Oncology|December 26, 2022
Predictive and prognostic potential of pretreatment <sup>68</sup>Ga-PSMA PET tumor heterogeneity index in patients with metastatic castration-resistant prostate cancer treated with 177Lu-PSMAMajid Assadi, Reyhaneh Manafi-Farid, Esmail Jafari, et al.
BMC Medical Imaging|September 27, 2025
Efficacy of PSMA PET/CT radiomics analysis for risk stratification in newly diagnosed prostate cancer: a multicenter studyEsmail Jafari, Amin Zarei, Habibollah Dadgar, et al.
European Journal of Nuclear Medicine and Molecular Imaging|September 8, 2023
Differential privacy preserved federated transfer learning for multi-institutional <sup>68</sup>Ga-PET image artefact detection and disentanglementIsaac Shiri, Yazdan Salimi, Mehdi Maghsudi, et al.
Pageof 1

Showing results (1-10 of 10) with videos related to

Sort By:
Pageof 1
Medical & Biological Engineering & Computing|April 15, 2025
Automated pulmonary nodule classification from low-dose CT images using ERBNet: an ensemble learning approachYashar Ahmadyar, Alireza Kamali-Asl, Rezvan Samimi, et al.
Radiological Physics and Technology|November 18, 2023
Hierarchical approach for pulmonary-nodule identification from CT images using YOLO model and a 3D neural network classifierYashar Ahmadyar, Alireza Kamali-Asl, Hossein Arabi, et al.
Physica Medica : PM : an International Journal Devoted to the Applications of Physics to Medicine and Biology : Official Journal of the Italian Association of Biomedical Physics (AIFB)|November 14, 2020
Short-duration dynamic FDG PET imaging: Optimization and clinical applicationRezvan Samimi, Alireza Kamali-Asl, Parham Geramifar, et al.
Physica Medica : PM : an International Journal Devoted to the Applications of Physics to Medicine and Biology : Official Journal of the Italian Association of Biomedical Physics (AIFB)|April 16, 2024
Dual time-point [<sup>18</sup>F]FDG PET imaging for quantification of metabolic uptake rate: Evaluation of a simple, clinically feasible methodRezvan Samimi, Alireza Kamali-Asl, Yashar Ahmadyar, et al.
Molecular Imaging and Radionuclide Therapy|October 7, 2024
Deep-learning-based Attenuation Correction for <sup>68</sup>Ga-DOTATATE Whole-body PET Imaging: A Dual-center Clinical StudyMahsa Sobhi Lord, Jalil Pirayesh Islamian, Negisa Seyyedi, et al.
Nuclear Medicine Communications|September 3, 2024
Automatic detection and segmentation of lesions in 18 F-FDG PET/CT imaging of patients with Hodgkin lymphoma using 3D dense U-NetMohammad Amin Izadi, Nafiseh Alemohammad, Parham Geramifar, et al.
EJNMMI Research|July 26, 2023
Radiomics predictive modeling from dual-time-point FDG PET K<sub>i</sub> parametric maps: application to chemotherapy response in lymphomaRezvan Samimi, Isaac Shiri, Yashar Ahmadyar, et al.
Frontiers in Oncology|December 26, 2022
Predictive and prognostic potential of pretreatment <sup>68</sup>Ga-PSMA PET tumor heterogeneity index in patients with metastatic castration-resistant prostate cancer treated with 177Lu-PSMAMajid Assadi, Reyhaneh Manafi-Farid, Esmail Jafari, et al.
BMC Medical Imaging|September 27, 2025
Efficacy of PSMA PET/CT radiomics analysis for risk stratification in newly diagnosed prostate cancer: a multicenter studyEsmail Jafari, Amin Zarei, Habibollah Dadgar, et al.
European Journal of Nuclear Medicine and Molecular Imaging|September 8, 2023
Differential privacy preserved federated transfer learning for multi-institutional <sup>68</sup>Ga-PET image artefact detection and disentanglementIsaac Shiri, Yazdan Salimi, Mehdi Maghsudi, et al.
Pageof 1