Novel Approaches for Artificial Intelligence in Neuroimaging Applications
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 November 2024 | Viewed by 96
Special Issue Editor
Interests: artificial intelligence; health informatics
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Emerging studies are employing artificial intelligence in neuroimaging for preprocessing, diagnosis, treatment and prognosis. The SHAP approach combines the results of all possible scenarios, which are ignored in linear or logistic regression, making the unrealistic assumption of ceteris paribus, i.e., “all the other variables staying constant”. This approach emphasizes important predictors for neuroimaging applications with numeric data. Likewise, Grad-CAM highlights regions of interest for neuroimaging using computed tomography and magnetic resonance imaging data. Moreover, generative artificial intelligence and multi-modal reinforcement learning are increasing in popularity. Given a sequence of text or image inputs, generative artificial intelligence generates a sequence of their probabilities based on Bidirectional Encoder Representations from Transformers (BERT) or Generative Pre-trained Transformers (GPT). This method’s impressive performance is due to its attention mechanism (in which different inputs receive different weights based on their similarity with their outputs). Few investigations have been carried out on these important issues. Therefore, this Special Issue invites authors to submit original and review articles on novel applications of artificial intelligence in neuroimaging, including preprocessing, diagnosis, treatment and prognosis.
Prof. Dr. Kwang-Sig Lee
Guest Editor
Manuscript Submission Information
Manuscripts should be submitted online at mdpi.longhoe.net 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
- neuroimaging
- machine learning
- deep learning
- explainable artificial intelligence
- SHAP
- GradCAM
- generative artificial intelligence
- BERT
- GPT
- multi-modal reinforcement learning
