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Ahmad Bitarafan-Rajabi

Showing results (21-30 of 64) with videos related to

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Journal of Applied Clinical Medical Physics|December 20, 2024
Machine learning based radiomics model to predict radiotherapy induced cardiotoxicity in breast cancerAmin Talebi, Ahmad Bitarafan-Rajabi, Azin Alizadeh-Asl, et al.
Drug Research|December 20, 2016
Novel 99mTc-Radiolabeled Anionic Linear Globular PEG-Based Dendrimer-Chlorambucil: Non-Invasive Method for In-Vivo BiodistributionSeyedeh Masoomeh Ghoreishi, Ali Khalaj, Ahmad Bitarafan-Rajabi, et al.
Medical Journal of the Islamic Republic of Iran|September 16, 2020
The impact of frame numbers on cardiac ECG-gated SPECT images with interpolated extra frames using echocardiographyMaghsoud Sarebani, Mohammad Bagher Shiran, Ahmad Bitarafan-Rajabi, et al.
Journal of Gastrointestinal Cancer|December 13, 2019
Author Correction: Prediction of Response to Neoadjuvant Chemoradiotherapy by MRI-Based Machine Learning Texture Analysis in Rectal Cancer PatientsSajad P Shayesteh, Afsaneh Alikhassi, Farshid Farhan, et al.
Journal of Gastrointestinal Cancer|August 29, 2019
Prediction of Response to Neoadjuvant Chemoradiotherapy by MRI-Based Machine Learning Texture Analysis in Rectal Cancer PatientsSajad P Shayesteh, Afsaneh Alikhassi, Farshid Farhan, et al.
Journal of Biomedical Physics & Engineering|September 5, 2022
Evaluation of Dose-Painting in the Dominant Intraprostatic Lesions by Radiobiological Parameters using <sup>68</sup>Ga- PSMA PET/CTKhadijeh Bamneshin, Seied Rabi Mahdavi, Ahmad Bitarafan-Rajabi, et al.
Nanotechnology|February 3, 2015
Synthesis and characterization of Bombesin-superparamagnetic iron oxide nanoparticles as a targeted contrast agent for imaging of breast cancer using MRIAtefeh Jafari, Mojtaba Salouti, Saber Farjami Shayesteh, et al.
Journal of Digital Imaging|September 22, 2023
Left Ventricular Myocardial Dysfunction Evaluation in Thalassemia Patients Using Echocardiographic Radiomic Features and Machine Learning AlgorithmsHaniyeh Taleie, Ghasem Hajianfar, Maziar Sabouri, et al.
Scientific Reports|August 22, 2025
Radiomics early assessment of post chemotherapy cardiotoxicity in cancer patients using 2D echocardiography imaging an interpretable machine learning studyMasumeh Ahmadi, Erfan Barzegar-Golmoghani, Amir Ghaffari Jolfayi, 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)|June 3, 2019
Neo-adjuvant chemoradiotherapy response prediction using MRI based ensemble learning method in rectal cancer patientsSajad P Shayesteh, Afsaneh Alikhassi, Armaghan Fard Esfahani, et al.
Pageof 7

Showing results (21-30 of 64) with videos related to

Sort By:
Pageof 7
Journal of Applied Clinical Medical Physics|December 20, 2024
Machine learning based radiomics model to predict radiotherapy induced cardiotoxicity in breast cancerAmin Talebi, Ahmad Bitarafan-Rajabi, Azin Alizadeh-Asl, et al.
Drug Research|December 20, 2016
Novel 99mTc-Radiolabeled Anionic Linear Globular PEG-Based Dendrimer-Chlorambucil: Non-Invasive Method for In-Vivo BiodistributionSeyedeh Masoomeh Ghoreishi, Ali Khalaj, Ahmad Bitarafan-Rajabi, et al.
Medical Journal of the Islamic Republic of Iran|September 16, 2020
The impact of frame numbers on cardiac ECG-gated SPECT images with interpolated extra frames using echocardiographyMaghsoud Sarebani, Mohammad Bagher Shiran, Ahmad Bitarafan-Rajabi, et al.
Journal of Gastrointestinal Cancer|December 13, 2019
Author Correction: Prediction of Response to Neoadjuvant Chemoradiotherapy by MRI-Based Machine Learning Texture Analysis in Rectal Cancer PatientsSajad P Shayesteh, Afsaneh Alikhassi, Farshid Farhan, et al.
Journal of Gastrointestinal Cancer|August 29, 2019
Prediction of Response to Neoadjuvant Chemoradiotherapy by MRI-Based Machine Learning Texture Analysis in Rectal Cancer PatientsSajad P Shayesteh, Afsaneh Alikhassi, Farshid Farhan, et al.
Journal of Biomedical Physics & Engineering|September 5, 2022
Evaluation of Dose-Painting in the Dominant Intraprostatic Lesions by Radiobiological Parameters using <sup>68</sup>Ga- PSMA PET/CTKhadijeh Bamneshin, Seied Rabi Mahdavi, Ahmad Bitarafan-Rajabi, et al.
Nanotechnology|February 3, 2015
Synthesis and characterization of Bombesin-superparamagnetic iron oxide nanoparticles as a targeted contrast agent for imaging of breast cancer using MRIAtefeh Jafari, Mojtaba Salouti, Saber Farjami Shayesteh, et al.
Journal of Digital Imaging|September 22, 2023
Left Ventricular Myocardial Dysfunction Evaluation in Thalassemia Patients Using Echocardiographic Radiomic Features and Machine Learning AlgorithmsHaniyeh Taleie, Ghasem Hajianfar, Maziar Sabouri, et al.
Scientific Reports|August 22, 2025
Radiomics early assessment of post chemotherapy cardiotoxicity in cancer patients using 2D echocardiography imaging an interpretable machine learning studyMasumeh Ahmadi, Erfan Barzegar-Golmoghani, Amir Ghaffari Jolfayi, 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)|June 3, 2019
Neo-adjuvant chemoradiotherapy response prediction using MRI based ensemble learning method in rectal cancer patientsSajad P Shayesteh, Afsaneh Alikhassi, Armaghan Fard Esfahani, et al.
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