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Journal of Digital Imaging is a peer-reviewed journal published by Springer Nature, covering Digital Radiography and Breast Imaging, Radiology practices and education, AI in cancer detection.
| Publisher | Springer Nature |
|---|---|
| Reference style | Superscript numbered (Nature) Superscript — small raised numerals in the text 1. Smith, A., Jones, B. & Lee, C. A representative article title. Journal of Digital Imaging 12, 45–58 (2023).
Formats any DOI in Journal of Digital Imaging style. No sign-up. |
| Publishes research in | Digital Radiography and Breast Imaging Radiology practices and education AI in cancer detection Radiomics and Machine Learning in Medical Imaging Radiation Dose and Imaging |
| ISSN | 0897-1889 |
| h-index | 100 |
| i10-index | 1,643 |
| Total citations | 76,901 |
| Article processing charge | $4,190 |
| Top institutions publishing here | Mayo Clinic |
| Journal website | link.springer.com |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Citations each year’s papers have accumulated so far — the most recent years are still building up.
The National Institutes of Health have placed significant emphasis on sharing of research data to support secondary research. Investigators have been encouraged to publish their clinical and imaging data as part of fulfilling their grant obligations. Realizing it was not sufficient to merely ask investigators to publish their collection of imaging and clinical data, the…
Deep learning-based image segmentation is by now firmly established as a robust tool in image segmentation. It has been widely used to separate homogeneous areas as the first and critical component of diagnosis and treatment pipeline. In this article, we present a critical appraisal of popular methods that have employed deep-learning techniques for medical image…
Quantitative analysis of brain MRI is routine for many neurological diseases and conditions and relies on accurate segmentation of structures of interest. Deep learning-based segmentation approaches for brain MRI are gaining interest due to their self-learning and generalization ability over large amounts of data. As the deep learning architectures are becoming more mature, they gradually…
