This journal publishes research on advanced imaging techniques and computational methods for the diagnosis and assessment of cardiovascular and thoracic diseases. Articles focus on the application of machine learning, deep learning, and novel imaging sequences in modalities like CT and MRI to improve diagnostic accuracy, workflow efficiency, and patient outcomes.
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 ImagingQ1
Subject Classification
Web of Science Categories
Radiology, Nuclear Medicine & Medical Imaging
Scopus Categories
Radiology, Nuclear Medicine and Imaging
Research Topics (OpenAlex)
Cardiac Imaging and DiagnosticsAdvanced MRI Techniques and ApplicationsCardiovascular Function and Risk FactorsAdvanced X-ray and CT ImagingCongenital Heart Disease StudiesCardiac Valve Diseases and TreatmentsCOVID-19 Clinical Research StudiesLung Cancer Diagnosis and TreatmentUltrasound in Clinical ApplicationsCOVID-19 diagnosis using AI