The Journal of Digital Imaging focuses on the application of advanced computational techniques, particularly deep learning and machine learning, to medical imaging analysis. Research includes developing and validating algorithms for image reconstruction, segmentation, classification, and characterization across various modalities like MRI, CT, and PET. The journal also explores radiomics and radiogenomics for predicting clinical outcomes and understanding disease mechanisms, as well as image quality assessment methods.
Based on the Think.Check.Submit framework by DOAJ, COPE & OASPA. All data from verified open sources.
Publication & Citation Trend
Articles published
Times cited
2016
2017
2018
2019
2020
2021
2022
2023
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.
Computer Science ApplicationsQ2
Radiological and Ultrasound TechnologyQ2
Radiology, Nuclear Medicine and ImagingQ2
Subject Classification
Scopus Categories
Radiology, Nuclear Medicine and ImagingComputer Science ApplicationsRadiological and Ultrasound Technology
Research Topics (OpenAlex)
Digital Radiography and Breast ImagingRadiology practices and educationAI in cancer detectionRadiomics and Machine Learning in Medical ImagingRadiation Dose and Imaging