This journal publishes research on the application of artificial intelligence, particularly deep learning and machine learning techniques, for the analysis and interpretation of medical imaging across various modalities. Studies focus on developing automated systems for tasks such as disease detection, segmentation of anatomical structures and lesions, and quantitative assessment of medical conditions, aiming to improve diagnostic accuracy and efficiency.
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.
Radiology, Nuclear Medicine and ImagingQ2
Subject Classification
Web of Science Categories
Engineering, Biomedical
Scopus Categories
Radiology, Nuclear Medicine and Imaging
Research Topics (OpenAlex)
Medical Imaging Techniques and ApplicationsMedical Image Segmentation TechniquesAdvanced MRI Techniques and ApplicationsRadiomics and Machine Learning in Medical ImagingPhotoacoustic and Ultrasonic ImagingAdvanced X-ray and CT ImagingAI in cancer detectionAdvanced Neuroimaging Techniques and ApplicationsImage and Signal Denoising MethodsOptical Imaging and Spectroscopy Techniques