Fractional and Fractal Methods in Biomedical Imaging and Time Series Learning

A special issue of Fractal and Fractional (ISSN 2504-3110). This special issue belongs to the section "Optimization, Big Data, and AI/ML".

Deadline for manuscript submissions: 31 August 2026 | Viewed by 152

Special Issue Editors


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Guest Editor
The Alan Turing Institute, British Library, 96 Euston Road, London NW1 2DB, UK
Interests: artificial intelligence; computer vision; healthcare AI; robotics; fractional calculus

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Guest Editor
School of Artificial Intelligence, Anhui Polytechnic University, Wuhu 241000, China
Interests: artificial intelligence; machine learning; robotics; fractional calculus

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Guest Editor Assistant
School of Artificial Intelligence, Anhui Polytechnic University, Wuhu 241000, China
Interests: human gait analysis; computer vision; medical robotics

Special Issue Information

Dear Colleagues,

Fractional and fractal methods are increasingly used in biomedical research for their ability to handle model complexity, memory effects, and self-similarity—key traits in physiological signals and biological structures. This Special Issue will focus on recent advances at the intersection of fractional calculus, fractal geometry, and machine learning, particularly in biomedical imaging and time series analysis.

We welcome the submission of original research, reviews, and applied studies that introduce new models, algorithms, or learning frameworks using fractional or fractal approaches. Potential topics include the use of fractional differential equations in disease modeling, fractal descriptors in image analysis, fractional-order neural networks in the analysis of biomedical signals, and fractal-based biomarkers in health monitoring.

Interdisciplinary contributions spanning applied mathematics, computer vision, biomedical engineering, and AI in healthcare are encouraged, while submissions demonstrating a real-world impact through the use of clinical validation, public datasets, or open-source tools are especially valued.

Dr. Ziyang Wang
Prof. Dr. Chengjun Wang
Dr. Jiabao Li
Guest Editors

Dr. Jiabao Li
Guest Editor Assistant

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 100 words) can be sent to the Editorial Office for announcement on this website.

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-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Fractal and Fractional 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

  • fractional calculus
  • medical robotic control
  • biomedical signal processing
  • medical image analysis
  • time series machine learning

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Published Papers

This special issue is now open for submission.
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