This journal focuses on the application of physics principles and advanced computational methods, particularly artificial intelligence and machine learning, to medical imaging, radiation therapy, and diagnostic procedures. It covers topics such as image reconstruction, segmentation, dose calculation, and treatment planning, with an emphasis on improving accuracy, efficiency, and patient outcomes in various medical applications.
Based on the Think.Check.Submit framework by DOAJ, COPE & OASPA. All data from verified open sources.
Publication & Citation Trend
Articles published
Times cited
2019
2020
2021
2022
2023
2024
2025
2026
Source: OpenAlex · Note: citations accumulate over time so older years appear higher
SJR Quartile by Discipline
Scimago ranks this journal separately in each subject category — its quartile can differ by discipline.
BiophysicsQ1
Medicine (miscellaneous)Q1
Radiology, Nuclear Medicine and ImagingQ1
Subject Classification
Web of Science Categories
Radiology, Nuclear Medicine & Medical Imaging
Scopus Categories
Radiology, Nuclear Medicine and ImagingBiophysicsMedicine (miscellaneous)
Research Topics (OpenAlex)
Advanced Radiotherapy TechniquesMedical Imaging Techniques and ApplicationsRadiation Therapy and DosimetryRadiation Dose and ImagingAdvanced X-ray and CT ImagingRadiomics and Machine Learning in Medical ImagingDigital Radiography and Breast ImagingAdvances in Oncology and RadiotherapyAdvanced MRI Techniques and ApplicationsRadiation Detection and Scintillator Technologies