Quantitative Neuroimaging: Advancing Diagnosis, Biomarkers, and Multimodal Fusion

A special issue of Journal of Imaging (ISSN 2313-433X). This special issue belongs to the section "Neuroimaging and Neuroinformatics".

Deadline for manuscript submissions: 30 April 2027 | Viewed by 51

Editor


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Guest Editor
1. The Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc., 6720A Rockledge Dr, Bethesda, MD 20817, USA
2. Department of Radiology and Bioengineering, Uniformed Services University of the Health Sciences, 4301 Jones Bridge Rd, Bethesda, MD 20814, USA
3. Radiology and Imaging Sciences Department, Clinical Center, National Institutes of Health, 10 Center Dr, Bethesda, MD 20892, USA
Interests: bioimaging; biomechanics; biostatistics; magnetic resonance imaging

Special Issue Information

Dear Colleagues,

Recent advances in imaging science, artificial intelligence, and quantitative analytics are rapidly transforming the field of neuroimaging. From structural and functional MRI to diffusion imaging, PET, CT, ultrasound, and hybrid modalities, modern neuroimaging now enables increasingly precise characterization of the brain across health and disease. At the same time, emerging computational approaches—including machine learning, image harmonization, multimodal fusion, biomechanical modeling, and large-scale statistical inference—are expanding the clinical and scientific value of imaging data. These developments create new opportunities for earlier diagnosis, personalized treatment planning, longitudinal monitoring, and mechanistic understanding of neurological disorders.

This Special Issue, “Quantitative Neuroimaging: Advancing Diagnosis, Biomarkers, and Multimodal Fusion”, aims to provide a platform for innovative contributions that advance imaging methodology, clinical translation, and future directions in neuroimaging research. We welcome original research articles, reviews, technical notes, and perspective papers addressing novel imaging technologies, image reconstruction, segmentation, registration, radiomics, deep learning, explainable AI, and quantitative biomarker development. Particular interest is given to studies involving traumatic brain injury, neurodegeneration, multiple sclerosis, stroke, epilepsy, psychiatric disorders, pediatric and aging brain research, and other neurological conditions.

Submissions related to biomedical imaging, radiology, medical image analysis, and computational modeling are particularly encouraged. Relevant topics include image-based predictive modeling, longitudinal and multi-site harmonization, uncertainty quantification, validation studies, digital phantoms, biomechanics-informed neuroimaging, and the integration of imaging data with clinical or wearable technologies. By uniting methodological innovation with translational application, this Special Issue aims to showcase current advances, address unresolved challenges, and help shape the future of neuroimaging research and clinical practice.

Dr. Yuan-Chiao Lu
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 250 words) can be sent to the Editorial Office for assessment.

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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 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

  • neuroimaging
  • medical image analysis
  • artificial intelligence in medical imaging
  • image harmonization
  • multimodal brain imaging
  • computational modeling
  • quantitative imaging biomarkers
  • traumatic brain injury (tbi)

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Published Papers

This special issue is now open for submission.
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