Artificial Intelligence in Magnetic Resonance Imaging
A special issue of Diagnostics (ISSN 2075-4418). This special issue belongs to the section "Machine Learning and Artificial Intelligence in Diagnostics".
Deadline for manuscript submissions: 30 April 2026
Special Issue Editor
Interests: image and signal processing; machine learning; MRI; cancer treatment
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Magnetic resonance imaging (MRI) has become a cornerstone of modern diagnostic medicine due to its non-invasive nature, absence of ionizing radiation, and exceptional sensitivity to soft tissue contrast. Nevertheless, the full promise of MRI in clinical medicine has yet to be realized, constrained by inherent physical limitations and reliance on conventional analysis techniques.
The rapid advancements made in computational techniques, particularly in artificial intelligence (AI), have significantly transformed MRI data analysis. AI encompasses a range of methodologies—such as supervised, unsupervised, and reinforcement learning—extending to deep learning architectures that can extract complex patterns from large datasets. Over the past decade, the availability of extensive MRI datasets, combined with advances in fast MRI acquisition techniques and the development of novel sequences, has accelerated AI-driven innovations in this field. Applications now extend beyond post-processing and interpretation to include the generation of multiparametric MRI data from single-sequence acquisitions and the enhancement of spatial resolution.
This Special Issue of Diagnostics aims to highlight cutting-edge AI applications in MRI, spanning the full spectrum from data acquisition and sequence optimization to advanced image reconstruction and automated analysis. We welcome contributions that report novel algorithms, technical developments, and innovative strategies addressing current challenges and expanding the capabilities of MRI in both clinical and research settings.
Dr. Aydin Eresen
Guest Editor
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. Diagnostics is an international peer-reviewed open access semimonthly 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 2600 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
- magnetic resonance imaging
- artificial intelligence
- diagnostic medicine
- MRI data analysis
- image processing
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