Journal of Digital Imaging

Aims & Scope

The Journal of Digital Imaging (JDI) is the official peer-reviewed journal of the Society for Imaging Informatics in Medicine (SIIM).

JDI’s goal is to enhance the exchange of knowledge encompassed by the general topic of Imaging Informatics in Medicine such as research and practice in clinical, engineering, and information technologies and techniques in all medical imaging environments.

JDI topics are of interest to researchers, developers, educators, physicians, and imaging informatics professionals.

Suggested Topics PACS and component systems; imaging informatics for the enterprise; image-enabled electronic medical records; RIS and HIS; digital image acquisition; image processing; image data compression; 3D, visualization, and multimedia; speech recognition; computer-aided diagnosis; facilities design; imaging vocabularies and ontologies; Transforming the Radiological Interpretation Process (TRIPâ„¢); DICOM and other standards; workflow and process modeling and simulation; quality assurance; archive integrity and security; teleradiology; digital mammography; and radiological informatics education.

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	3.8
2024	2.90

SJR (SCImago Journal Rank)

Year	Value
2024	0.734

Quartile

Year	Value
2024	Q2

h-index

Year	Value
2024	82

Journal Rank

Year	Value
2024	7628

Journal Citation Indicator

Year	Value
2024	2173

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Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar
• Web of Science

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Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Computer Science, Health Professions and Medicine, designed to support cutting-edge academic discovery.

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Most Cited Articles

The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.

• The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository

  Citation: 3674

  Authors: Kenneth, Bruce, Kirk, John, Justin, Paul, Stephen, Stanley, David, Michael, Lawrence, Fred

• OsiriX: An Open-Source Software for Navigating in Multidimensional DICOM Images

  Citation: 1454

  Authors: Antoine, Luca, Osman

• Deep Learning Techniques for Medical Image Segmentation: Achievements and Challenges

  Citation: 1299

  Authors: Mohammad Hesam, Wenjing, Xiangjian, Paul

• Deep Learning for Brain MRI Segmentation: State of the Art and Future Directions

  Citation: 885

  Authors: Zeynettin, Alfiia, Assaf, Daniel L., Bradley J.

• Contrast Limited Adaptive Histogram Equalization image processing to improve the detection of simulated spiculations in dense mammograms

  Citation: 594

  Authors: Etta D., Shuquan, Bradley M., Marla, R. Eugene, Keith, M. Patricia, Stephen M.

• SimpleITK Image-Analysis Notebooks: a Collaborative Environment for Education and Reproducible Research

  Citation: 383

  Authors: Ziv, Bradley C., Hans J., Richard

• Fully Automated Deep Learning System for Bone Age Assessment

  Citation: 361

  Authors: Hyunkwang, Shahein, Jenny, Maurice, Bethel Ayele, Tarik K., Garry, Synho

• Information Entropy Measure for Evaluation of Image Quality

  Citation: 337

  Authors: Du-Yih, Yongbum, Eri

• Thyroid Nodule Classification in Ultrasound Images by Fine-Tuning Deep Convolutional Neural Network

  Citation: 331

  Authors: Jianning, Ekta, Paul, Jimmy, Gary, Mark

• Content-Based Image Retrieval in Radiology: Current Status and Future Directions

  Citation: 297

  Authors: Ceyhun Burak, Daniel L., Sandy, Christopher F., Hayit, Burak

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