Artificial Intelligence in Neuroimaging and Neuro-Ophthalmology
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: closed (30 November 2023) | Viewed by 1595
Special Issue Editors
Interests: medical data analysis; machine learning; deep learning; image processing and computer vision; time-frequency methods
Special Issues, Collections and Topics in MDPI journals
Interests: neuroscience; cognition; biomarker science-fields area
Interests: image processing; artificial intelligence; medical imaging systems; monte carlo simulation
Special Issue Information
Dear Colleagues,
In recent decades, there have been innumerable inventions in imaging modalities that have revolutionized the diagnosis, assessment, and treatment of neurological diseases (neuroimaging) and conditions affecting neurological control of the visual system (neuro-ophthalmology). Artificial intelligence (AI) in medicine has shown significant promise in the efficient analysis and interpretation of the increasing amount of data and images.
Eyes as a window to the brain are the only organs in the human body where the central nervous system and blood vasculature are visible. The retina and the brain both have a common embryological origin. Furthermore, many diseases affect the eye before changes occur in the rest of the body.
This Special Issue will focus on the cutting-edge developments and application of AI in neurological images of the brain and the eyes, with a particular emphasis on novel techniques to capture, store, process and analyse neuroimaging and neuro ophthalmology data with the purpose of early diagnosis, detection, prognosis, triage, and treatment plan.
We encourage submissions from all areas of image processing, computer vision and healthcare, focusing on the use of AI techniques in images of the brain and the eyes. The topics of interest include, but are not limited to, the following:
- Machine learning, deep learning and multitask learning in neuroimaging and neuro-ophthalmology.
- Chaos, fractal, and fuzzy learning method in disease identification/diagnosis.
- Multimodal machine learning for data fusion in neuroimaging and neuro-ophthalmology.
- Ensemble learning for real-time health monitoring systems.
- Supervised, unsupervised, and semisupervised learning for neuroimaging and neuro-ophthalmology.
- Computational approaches for medical image analysis.
- Deterministic and stochastic ordinary and partial differential equations.
- Theoretical approaches for analysis of neuroimaging and neuro-ophthalmology.
- Artificial intelligence-driven biomedical imaging for precision diagnostic applications.
- Quantum computing and image analysis.
- Interpretable deep learning in non-invasive analysis of neuroimaging and neuro-ophthalmology.
- Federated learning for privacy preservation of healthcare data.
- Machine learning and deep learning in DICOM image processing.
- Machine learning and deep learning for AR and VR in neuroimaging and neuro-ophthalmology.
- Generative adversarial networks in image computing.
Dr. Rahele Kafieh
Dr. Nader Riyahi Alam
Prof. Dr. Alireza Karimian
Dr. Fereshteh Ashtari
Guest Editors
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.
