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Call for papers - Diagnostic imaging in oncology

Guest Editor

Rakesh Shiradkar, PhD, Indiana University, USA

Submission Status: Open   |   Submission Deadline: 12 August 2025


BMC Biomedical Engineering is calling for submissions to our Collection on Diagnostic imaging in oncology. This Collection welcomes submissions on new diagnostic imaging techniques, devices and data analysis in the context of oncology, as well as substantial improvements or novel adaptations of existing solutions.

New Content ItemThis Collection supports and amplifies research related to SDG 3: Good Health and Well-being.

Meet the Guest Editors

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Rakesh Shiradkar, PhD, Indiana University, USA

Rakesh Shiradkar, PhD, is an Assistant Professor in Biomedical Engineering and Informatics at Indiana University. He is engaged in developing novel artificial intelligence-assisted technologies with multi-modal medical data (imaging, genomics, electronic health records) and translational approaches to impact health care management. His research interests include medical imaging, radiology, immunology, medical image computing, computer aided diagnosis, radiation oncology, and digital pathology.

About the Collection

BMC Biomedical Engineering is calling for submissions to our Collection on Diagnostic imaging in oncology. 

Diagnostic imaging plays a crucial role in the detection, characterization, and monitoring of cancer. From traditional radiography and computed tomography (CT) scans to advanced techniques such as magnetic resonance imaging (MRI), positron emission tomography (PET), and ultrasound elastography, the field of oncologic imaging has witnessed significant advancements. These technologies have revolutionized cancer diagnosis and treatment planning, enabling non-invasive visualization of tumor tissues and providing valuable insights into disease progression.

Continuing to advance our collective understanding of diagnostic imaging in oncology is essential for improving cancer care and patient outcomes. Ongoing research in diagnostic imaging holds the potential for further enhancing the precision and accuracy of cancer diagnosis and staging. BMC Biomedical Engineering welcomes submissions on new diagnostic imaging techniques, devices and data analysis in the context of oncology, as well as substantial improvements or novel adaptations of existing solutions. 

This Collection supports and amplifies research related to SDG 3: Good Health and Well-being.

Image credit: © karelnoppe / stock.adobe.com

  1. The aim of this study was to produce ultrasmall superparamagnetic iron oxide (USPIO) nanoparticles (NPs) conjugated to the FROP-1 peptide for targeted magnetic resonance imaging (MRI) of breast cancer cell lin...

    Authors: Melika Samari, Zahra Alamzadeh, Rasoul Irajirad, Abolfazl Sarikhani, Vahid Pirhajati Mahabadi, Habib Ghaznavi and Samideh Khoei
    Citation: BMC Biomedical Engineering 2025 7:5
    Content type: Research Published on:

Submission Guidelines

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This Collection welcomes submission of original Research Articles. Should you wish to submit a different article type, please read our submission guidelines to confirm that type is accepted by the journal. Articles for this Collection should be submitted via our submission system, Snapp. During the submission process you will be asked whether you are submitting to a Collection, please select "Diagnostic imaging in oncology" from the dropdown menu.

Articles will undergo the journal’s standard peer-review process and are subject to all of the journal’s standard policies. Articles will be added to the Collection as they are published.

The Editors have no competing interests with the submissions which they handle through the peer review process. The peer review of any submissions for which the Editors have competing interests is handled by another Editorial Board Member who has no competing interests.