This journal publishes research on the application of advanced computational and machine learning techniques, including deep learning, neural networks, and radiomics, for medical image analysis, diagnosis, and treatment monitoring across various conditions and anatomical regions. Articles also cover the development of novel algorithms and frameworks for medical image generation, segmentation, and feature extraction, as well as the use of computational modeling for understanding physiological processes and disease progression.
AI-summarised from recent articles · verify on the publisher page
⚡ Speed vs Prestige
How does this journal balance review speed with impact level?
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.
Biomedical EngineeringQ3
Medicine (miscellaneous)Q3
Subject Classification
Web of Science Categories
Engineering, BiomedicalMedical Informatics
Scopus Categories
Biomedical EngineeringMedicine (miscellaneous)
Research Topics (OpenAlex)
Biomedical and Chemical ResearchPhysics and Engineering Research ArticlesOrthopaedic implants and arthroplastyDiverse Scientific and Economic StudiesMedical and Health Sciences ResearchEEG and Brain-Computer InterfacesAdvanced MRI Techniques and ApplicationsHuman auditory perception and evaluationEngineering and Materials Science StudiesGerman Literature and Culture Studies