Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Book Chapter Book Chapter Faculty Publications- Book Chapter Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Applications of Machine Learning and Deep Learning Models in Brain Imaging Analysis Description An account of the resource Brain imaging is an umbrella term including many non-invasive techniques that objectively monitor brain function. Such monitoring leads to understanding how the brain works by presenting selected stimuli. More importantly, brain function monitoring allows physicians to diagnose and predict brain disorders. In the last decade, several machine learning and deep learning models have been developed by researchers to process and analyse brain imaging data for the diagnosis, detection, and prediction of brain disorders, such as stroke, schizophrenia, autism, psychosis, and Alzheimers. This chapter reviews the various applications and properties of machine learning and deep learning models for brain image analysis. The chapter also highlights the deep learning models that have either understood the test of time or shown the promise to solve challenging problems involving brain imaging data. The review also discusses various open issues yet to have practical solutions or methodologies with the help of machine learning and deep learning. The research covers a wide range of imaging modalities, disorders and models to expose researchers and practitioners in neurological disorders and machine learning and deep learning to each others field, hopefully leading to fruitful collaborations and practical solutions for processing brain images. 2024 selection and editorial matter, Anitha S. Pillai and Bindu Menon; individual chapters, the contributors. Creator An entity primarily responsible for making the resource Joseph A.; Chandra J.; Banerjee B.; Rangaswamy M.; Reddy J.K. Source A related resource from which the described resource is derived Machine Learning and Deep Learning in Neuroimaging Data Analysis, pp. 43-56. Publisher An entity responsible for making the resource available CRC Press Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1201/9781003264767-3" target="_blank" rel="noreferrer noopener">https://doi.org/10.1201/9781003264767-3</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85195984713&amp;doi=10.1201%2F9781003264767-3&amp;partnerID=40&amp;md5=96a7fbbecb4d5f3f66f8572903fb4832" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85195984713&amp;doi=10.1201%2f9781003264767-3&amp;partnerID=40&amp;md5=96a7fbbecb4d5f3f66f8572903fb4832</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-100381554-9; 978-103219068-6 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Book chapter Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Joseph A., Christ University, Pune, India; Chandra J., Christ University, Bangalore, India; Banerjee B., Institute for Intelligent Systems, Department of Electrical &amp; Computer Engineering, University of Memphis, Memphis, TN, United States; Rangaswamy M., Christ University, Bangalore, India; Reddy J.K., Christ University, Bangalore, India