Medical Image Processing: Emerging Techniques and Future Avenues

A special issue of Bioengineering (ISSN 2306-5354). This special issue belongs to the section "Biosignal Processing".

Deadline for manuscript submissions: 31 July 2026 | Viewed by 266

Editors


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Guest Editor
Department of Electrical and Information Engineering, Polytechnic University of Bari, 70125 Bari, Italy
Interests: robotic-assisted surgery; medical data processing; explainable AI; human-machine interaction; biomedical engineering
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Department of Medicine and Health Sciences “Vincenzo Tiberio”, Università degli Studi del Molise, Via Francesco De Sanctis, 1, 86100 Campobasso, CB, Italy
Interests: formal methods; neural networks and artificial intelligence; pattern recognition; computer vision; image processing

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Guest Editor
Department of Radiological Sciences, University of California Irvine, Irvine, CA, USA
Interests: artificial intelligence; medical image analysis; digital signal processing; cancer biology and treatment; computer vision

Special Issue Information

Dear Colleagues,

Recent advances in medical image processing have made a significant impacted on the collection, analysis, and interpretation of biomedical data. This Special Issue aims to showcase the innovative approaches and interdisciplinary research directions that are driving the evolution of medical image analysis. We will give particular attention to contributions that address data scarcity and improve model generalization. For instance, contributions exploring synthetic data generation, including through the use of adversarial generative networks, diffusion models, or hybrid simulation methods, are encouraged. Similarly, studies integrating multimodal and heterogeneous data, including imaging with clinical, molecular, or physiological information, are strongly encouraged. New image reconstruction and interpretation architectures, interpretable and reliable artificial intelligence, and translational studies demonstrating real-world clinical impacts are highlighted as topics of interest. By bringing together technical and clinical perspectives, this Special Issue aims to provide a global overview of the current progress and outstanding challenges in the field while also fostering interdisciplinary collaborations, aiming toward intelligent, integrated, and next-generation medical imaging.

Dr. Domenico Buongiorno
Dr. Vittoria Nardone
Dr. Aydin Eresen
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-anonymized peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Bioengineering is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • medical image processing
  • synthetic data generation
  • multimodal imaging
  • artificial intelligence
  • machine learning
  • data fusion
  • explainable AI
  • clinical applications

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Published Papers

This special issue is now open for submission.
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