Biomedical Imaging and Intervention Journal

Abstracting & Indexing

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

• Scopus
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Subjects & Keywords

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

Licensing & Copyright

This journal operates under an Open Access model. Articles are freely accessible to the public immediately upon publication. The content is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0), allowing users to share and adapt the work with proper attribution.

Copyright remains with the author(s), and no permission is required for non-commercial use, provided the original source is cited.

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 importance of Good Clinical Practice guidelines and its role in clinical trials

  Citation: 232

  Authors: A, O

• Development and use of iron oxide nanoparticles (Part 1): Synthesis of iron oxide nanoparticles for MRI

  Citation: 145

  Authors: J, G, NJ, P, SF

• Review of 18F-FDG synthesis and quality control

  Citation: 95

  Authors: S

• Intensity modulated radiotherapy: advantages, limitations and future development

  Citation: 57

  Authors: KY

• Optimisation in general radiography

  Citation: 55

  Authors: CJ

• k-Space tutorial: an MRI educational tool for a better understanding of k-space

  Citation: 52

  Authors: D, A, L, ME

• The importance of radiation quality for optimisation in radiology

  Citation: 47

  Authors: CJ

• CT-guided percutaneous biopsy of spinal lesions

  Citation: 44

  Authors: WCG

• Physiological uptake in FDG PET simulating disease

  Citation: 39

  Authors: S

• Identification of masses in digital mammogram using gray level co-occurrence matrices

  Citation: 37

  Authors: A, R, WMD, NN