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Parham Geramifar

Showing results (71-80 of 80) with videos related to

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International Journal of Radiation Oncology, Biology, Physics|May 20, 2025
Machine Learning-based Dose Prediction in [<sup>177</sup>Lu]Lu-PSMA-617 Therapy by Integrating Biomarkers and Radiomic Features from [<sup>68</sup>Ga]Ga-PSMA-11 Positron Emission Tomography/Computed TomographyElmira Yazdani, Mahdi Sadeghi, Najme Karamzade-Ziarati, et al.
Asia Oceania Journal of Nuclear Medicine & Biology|August 6, 2019
Diagnostic fficiency of <sup>68</sup>Ga-DOTATATE PET/CT as ompared to <sup>99m</sup>Tc-Octreotide SPECT/CT andonventional orphologic odalities in euroendocrine umorsBabak Fallahi, Reyhaneh Manafi-Farid, Mohammad Eftekhari, et al.
ACS Applied Materials & Interfaces|August 25, 2017
Targeted Delivery System Based on Gemcitabine-Loaded Silk Fibroin Nanoparticles for Lung Cancer TherapyFatemeh Mottaghitalab, Melika Kiani, Mehdi Farokhi, et al.
Molecular Imaging and Biology|September 16, 2016
Synthesis and Biological Evaluation of Cyclic [<sup>99m</sup>Tc]-HYNIC-CGPRPPC as a Fibrin-Binding Peptide for Molecular Imaging of Thrombosis and Its Comparison with [<sup>99m</sup>Tc]-HYNIC-GPRPPSedigheh Rezaeianpour, Atefeh Hajiagha Bozorgi, Abolghasem Moghimi, et al.
Annals of Nuclear Medicine|November 28, 2015
Evaluation of (99m)Tc-TRODAT-1 SPECT in the diagnosis of Parkinson's disease versus other progressive movement disordersBabak Fallahi, Atefe Esmaeili, Davood Beiki, et al.
Computers in Biology and Medicine|March 10, 2021
Machine learning-based prognostic modeling using clinical data and quantitative radiomic features from chest CT images in COVID-19 patientsIsaac Shiri, Majid Sorouri, Parham Geramifar, et al.
Biomedical Physics & Engineering Express|June 30, 2026
Beyond the tumor: Recurrence-prone radiomics for prognostication in negative PSMA PET/CT scans of prostate cancerFereshteh Yousefirizi, Sara Harsini, Mobin Mohebi, 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.
Theranostics|April 14, 2025
Targeted radioligand therapy: physics and biology, internal dosimetry and other practical aspects during <sup>177</sup>Lu/<sup>225</sup>Ac treatment in neuroendocrine tumors and metastatic prostate cancerHabibollah Dadgar, Ali Pashazadeh, Nasim Norouzbeigi, et al.
Computers in Biology and Medicine|April 4, 2022
COVID-19 prognostic modeling using CT radiomic features and machine learning algorithms: Analysis of a multi-institutional dataset of 14,339 patientsIsaac Shiri, Yazdan Salimi, Masoumeh Pakbin, et al.
Pageof 8

Showing results (71-80 of 80) with videos related to

Sort By:
Pageof 8
You have reached the last page of results.This site can display upto 80 results.
International Journal of Radiation Oncology, Biology, Physics|May 20, 2025
Machine Learning-based Dose Prediction in [<sup>177</sup>Lu]Lu-PSMA-617 Therapy by Integrating Biomarkers and Radiomic Features from [<sup>68</sup>Ga]Ga-PSMA-11 Positron Emission Tomography/Computed TomographyElmira Yazdani, Mahdi Sadeghi, Najme Karamzade-Ziarati, et al.
Asia Oceania Journal of Nuclear Medicine & Biology|August 6, 2019
Diagnostic fficiency of <sup>68</sup>Ga-DOTATATE PET/CT as ompared to <sup>99m</sup>Tc-Octreotide SPECT/CT andonventional orphologic odalities in euroendocrine umorsBabak Fallahi, Reyhaneh Manafi-Farid, Mohammad Eftekhari, et al.
ACS Applied Materials & Interfaces|August 25, 2017
Targeted Delivery System Based on Gemcitabine-Loaded Silk Fibroin Nanoparticles for Lung Cancer TherapyFatemeh Mottaghitalab, Melika Kiani, Mehdi Farokhi, et al.
Molecular Imaging and Biology|September 16, 2016
Synthesis and Biological Evaluation of Cyclic [<sup>99m</sup>Tc]-HYNIC-CGPRPPC as a Fibrin-Binding Peptide for Molecular Imaging of Thrombosis and Its Comparison with [<sup>99m</sup>Tc]-HYNIC-GPRPPSedigheh Rezaeianpour, Atefeh Hajiagha Bozorgi, Abolghasem Moghimi, et al.
Annals of Nuclear Medicine|November 28, 2015
Evaluation of (99m)Tc-TRODAT-1 SPECT in the diagnosis of Parkinson's disease versus other progressive movement disordersBabak Fallahi, Atefe Esmaeili, Davood Beiki, et al.
Computers in Biology and Medicine|March 10, 2021
Machine learning-based prognostic modeling using clinical data and quantitative radiomic features from chest CT images in COVID-19 patientsIsaac Shiri, Majid Sorouri, Parham Geramifar, et al.
Biomedical Physics & Engineering Express|June 30, 2026
Beyond the tumor: Recurrence-prone radiomics for prognostication in negative PSMA PET/CT scans of prostate cancerFereshteh Yousefirizi, Sara Harsini, Mobin Mohebi, 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.
Theranostics|April 14, 2025
Targeted radioligand therapy: physics and biology, internal dosimetry and other practical aspects during <sup>177</sup>Lu/<sup>225</sup>Ac treatment in neuroendocrine tumors and metastatic prostate cancerHabibollah Dadgar, Ali Pashazadeh, Nasim Norouzbeigi, et al.
Computers in Biology and Medicine|April 4, 2022
COVID-19 prognostic modeling using CT radiomic features and machine learning algorithms: Analysis of a multi-institutional dataset of 14,339 patientsIsaac Shiri, Yazdan Salimi, Masoumeh Pakbin, et al.
Pageof 8