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Meysam Tavakoli

Showing results (21-30 of 27) with videos related to

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Photodiagnosis and Photodynamic Therapy|May 21, 2026
Precise Staging of Diabetic Retinopathy Through Machine Learning Analysis of Leakage Source Characteristics: A Radiomics-Driven Approach Integrating OCT-A and FFAEsmat Ramezanzadeh, Hoda Zare, Naser Shoeibi, et al.
Medical Physics|September 23, 2025
Enhancing auto-contouring with large language model in high-dose rate brachytherapy for cervical cancersJing Wang, Jiahan Zhang, Kaida Yang, et al.
Medical Physics|March 31, 2025
Impact of harmonization on predicting complications in head and neck cancer after radiotherapy using MRI radiomics and machine learning techniquesBenyamin Khajetash, Ghasem Hajianfar, Amin Talebi, et al.
Biomedical Physics & Engineering Express|August 18, 2025
A high-accuracy hybrid method for detecting retinal blood vessel changes across different phases of fluorescein angiography in diabetic retinopathy patientsEsmat Ramezanzadeh, Naser Shoeibi, Hossein Rabbani, et al.
Journal of Medical Radiation Sciences|March 8, 2024
Introducing fitting models for estimating age-specific dose and effective dose in paediatric patients undergoing head, chest and abdomen-pelvis imaging protocols: a patient studyMohammad Reza Deevband, Habib Mohammadi, Yazdan Salimi, et al.
JCI Insight|February 22, 2023
The schedule of ATR inhibitor AZD6738 can potentiate or abolish antitumor immune responses to radiotherapyFrank P Vendetti, Pinakin Pandya, David A Clump, et al.
Biorxiv : the Preprint Server for Biology|June 5, 2026
Transient ATR inhibition following ionizing radiation enhances immune-mediated antitumor response and survivalJoshua Deppas, Brian F Kiesel, Frank P Vendetti, et al.
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Showing results (21-30 of 27) with videos related to

Sort By:
Pageof 3
You have reached the last page of results.This site can display upto 27 results.
Photodiagnosis and Photodynamic Therapy|May 21, 2026
Precise Staging of Diabetic Retinopathy Through Machine Learning Analysis of Leakage Source Characteristics: A Radiomics-Driven Approach Integrating OCT-A and FFAEsmat Ramezanzadeh, Hoda Zare, Naser Shoeibi, et al.
Medical Physics|September 23, 2025
Enhancing auto-contouring with large language model in high-dose rate brachytherapy for cervical cancersJing Wang, Jiahan Zhang, Kaida Yang, et al.
Medical Physics|March 31, 2025
Impact of harmonization on predicting complications in head and neck cancer after radiotherapy using MRI radiomics and machine learning techniquesBenyamin Khajetash, Ghasem Hajianfar, Amin Talebi, et al.
Biomedical Physics & Engineering Express|August 18, 2025
A high-accuracy hybrid method for detecting retinal blood vessel changes across different phases of fluorescein angiography in diabetic retinopathy patientsEsmat Ramezanzadeh, Naser Shoeibi, Hossein Rabbani, et al.
Journal of Medical Radiation Sciences|March 8, 2024
Introducing fitting models for estimating age-specific dose and effective dose in paediatric patients undergoing head, chest and abdomen-pelvis imaging protocols: a patient studyMohammad Reza Deevband, Habib Mohammadi, Yazdan Salimi, et al.
JCI Insight|February 22, 2023
The schedule of ATR inhibitor AZD6738 can potentiate or abolish antitumor immune responses to radiotherapyFrank P Vendetti, Pinakin Pandya, David A Clump, et al.
Biorxiv : the Preprint Server for Biology|June 5, 2026
Transient ATR inhibition following ionizing radiation enhances immune-mediated antitumor response and survivalJoshua Deppas, Brian F Kiesel, Frank P Vendetti, et al.
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