MR-Based Neuroimaging
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Applied Neuroscience and Neural Engineering".
Deadline for manuscript submissions: 30 March 2025 | Viewed by 124
Special Issue Editors
Interests: signal processing; machine learning; feature felection; EEG; fMRI; resting state fMRI; fMRI analysis
Interests: neurodegenerative diseases; movement disorders; dementia; MRI; molecular imaging
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
This Special Issue will be focused on advancements in MRI techniques and quantitative MRI analysis, which are central to neuroimaging research. Nowadays, contemporary and innovative analytical perspectives are essential for uncovering MR-based biomarkers and understanding their role in the early stages of brain diseases.
This Special Issue explores a comprehensive range of MRI sequences, including functional and structural MRI, as well as diffusion tensor imaging. It covers both traditional methods and novel approaches, such as the application of machine learning and deep learning techniques.
Furthermore, this Special Issue is driven by the growing interest within the research community in understanding structural and functional connectivity through MR imaging, as well as the use of MR imaging to customize treatments for neurological disorders.
Additionally, this Special Issue addresses the challenges of integrating various MRI technologies as essential biomarkers for clinical use. It also outlines potential future directions, offering a roadmap for ongoing innovation.
Dr. Valeria Sacca
Dr. Fabiana Novellino
Guest Editors
Manuscript Submission Information
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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 2400 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
- MRI
- functional MRI
- structural MRI
- DTI
- machine learning
- deep learning
- brain biomarkers
- functional connectivity
- neurological diseases
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