Deep Learning Methods And Applications In Brain Imaging For The Diagnosis Of Neurological And Psychiatric Disorders
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Deep Learning Methods And Applications In Brain Imaging For The Diagnosis Of Neurological And Psychiatric Disorders
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Author : Hao Zhang
language : en
Publisher: Frontiers Media SA
Release Date : 2024-10-14
Deep Learning Methods And Applications In Brain Imaging For The Diagnosis Of Neurological And Psychiatric Disorders written by Hao Zhang and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-14 with Science categories.
Brain imaging has been successfully used to generate image-based biomarkers for various neurological and psychiatric disorders, such as Alzheimer’s and related dementias, Parkinson’s disease, stroke, traumatic brain injury, brain tumors, depression, schizophrenia, etc. However, accurate brain image-based diagnosis at the individual level remains elusive, and this applies to the diagnosis of neuropathological diseases as well as clinical syndromes. In recent years, deep learning techniques, due to their ability to learn complex patterns from large amounts of data, have had remarkable success in various fields, such as computer vision and natural language processing. Applying deep learning methods to brain imaging-assisted diagnosis, while promising, is facing challenges such as insufficiently labeled data, difficulty in interpreting diagnosis results, variations in data acquisition in multi-site projects, integration of multimodal data, clinical heterogeneity, etc. The goal of this research topic is to gather cutting-edge research that showcases the application of deep learning methods in brain imaging for the diagnosis of neurological and psychiatric disorders. We encourage submissions that demonstrate novel approaches to overcome various abovementioned difficulties and achieve more accurate, reliable, generalizable, and interpretable diagnosis of neurological and psychiatric disorders in this field.
Computational Intelligence In Pattern Recognition
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Author : Asit Kumar Das
language : en
Publisher: Springer Nature
Release Date : 2020-02-19
Computational Intelligence In Pattern Recognition written by Asit Kumar Das and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-02-19 with Technology & Engineering categories.
This book features high-quality research papers presented at the 2nd International Conference on Computational Intelligence in Pattern Recognition (CIPR 2020), held at the Institute of Engineering and Management, Kolkata, West Bengal, India, on 4–5 January 2020. It includes practical development experiences in various areas of data analysis and pattern recognition, focusing on soft computing technologies, clustering and classification algorithms, rough set and fuzzy set theory, evolutionary computations, neural science and neural network systems, image processing, combinatorial pattern matching, social network analysis, audio and video data analysis, data mining in dynamic environments, bioinformatics, hybrid computing, big data analytics and deep learning. It also provides innovative solutions to the challenges in these areas and discusses recent developments.
Machine Learning
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Author : Andrea Mechelli
language : en
Publisher: Academic Press
Release Date : 2019-11-14
Machine Learning written by Andrea Mechelli and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-14 with Medical categories.
Machine Learning is an area of artificial intelligence involving the development of algorithms to discover trends and patterns in existing data; this information can then be used to make predictions on new data. A growing number of researchers and clinicians are using machine learning methods to develop and validate tools for assisting the diagnosis and treatment of patients with brain disorders. Machine Learning: Methods and Applications to Brain Disorders provides an up-to-date overview of how these methods can be applied to brain disorders, including both psychiatric and neurological disease. This book is written for a non-technical audience, such as neuroscientists, psychologists, psychiatrists, neurologists and health care practitioners. - Provides a non-technical introduction to machine learning and applications to brain disorders - Includes a detailed description of the most commonly used machine learning algorithms as well as some novel and promising approaches - Covers the main methodological challenges in the application of machine learning to brain disorders - Provides a step-by-step tutorial for implementing a machine learning pipeline to neuroimaging data in Python
Adversarial Deep Generative Techniques For Early Diagnosis Of Neurological Conditions And Mental Health Practises
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Author : Abhishek Kumar
language : en
Publisher: Springer Nature
Release Date : 2025-08-16
Adversarial Deep Generative Techniques For Early Diagnosis Of Neurological Conditions And Mental Health Practises written by Abhishek Kumar and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-16 with Computers categories.
This book explores a pioneering exploration of how deep generative models, including generative adversarial networks (GANs) and variational autoencoders (VAEs), renovating early neurological disorder detection. This book is a bridge between computational neuroscience and clinical neurology gaps, providing novel AI-driven methodologies for diagnosing conditions such as Alzheimer’s, Parkinson’s, epilepsy, and neurodevelopmental disorders. With a strong focus on neuroimaging, genomic data analysis, and biomedical informatics, the book equips researchers and practitioners with the tools to improve diagnostic accuracy and decision-making. It includes practical case studies, visual illustrations, and structured methodologies for training and validating deep learning models. Designed for neurologists, radiologists, data scientists, and AI researchers, this book is an essential resource for advancing precision medicine and next-generation healthcare innovation.
Insights In Brain Imaging Methods 2023
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Author : Xi-Nian Zuo
language : en
Publisher: Frontiers Media SA
Release Date : 2024-10-04
Insights In Brain Imaging Methods 2023 written by Xi-Nian Zuo and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-04 with Science categories.
Following on from the success of Insights in Brain Imaging Methods: 2021, we would like to further celebrate the exceptional achievements made by scientists, leading to major advancements in the fast-growing field of neuroscience. You can find the 2021 edition here. Frontiers is continuing to organize a series of Research Topics to highlight the latest advancements in research across the field of neuroscience, with articles from the members of our accomplished Editorial Boards. This editorial initiative of particular relevance, led by Prof Vince D Calhoun, Specialty Chief Editor of the Brain Imaging Methods section, together with Professors Federico Giove and Xi-Nian Zuo, is focused on new insights, novel developments, current challenges, latest discoveries, recent advances, and future perspectives in the field of Brain Imaging Methods.
Augmenting Neurological Disorder Prediction And Rehabilitation Using Artificial Intelligence
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Author : Anitha S. Pillai
language : en
Publisher: Academic Press
Release Date : 2022-02-23
Augmenting Neurological Disorder Prediction And Rehabilitation Using Artificial Intelligence written by Anitha S. Pillai and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-02-23 with Science categories.
Augmenting Neurological Disorder Prediction and Rehabilitation Using Artificial Intelligence focuses on how the neurosciences can benefit from advances in AI, especially in areas such as medical image analysis for the improved diagnosis of Alzheimer's disease, early detection of acute neurologic events, prediction of stroke, medical image segmentation for quantitative evaluation of neuroanatomy and vasculature, diagnosis of Alzheimer's Disease, autism spectrum disorder, and other key neurological disorders. Chapters also focus on how AI can help in predicting stroke recovery, and the use of Machine Learning and AI in personalizing stroke rehabilitation therapy. Other sections delve into Epilepsy and the use of Machine Learning techniques to detect epileptogenic lesions on MRIs and how to understand neural networks. - Provides readers with an understanding on the key applications of artificial intelligence and machine learning in the diagnosis and treatment of the most important neurological disorders - Integrates recent advancements of artificial intelligence and machine learning to the evaluation of large amounts of clinical data for the early detection of disorders such as Alzheimer's Disease, autism spectrum disorder, Multiple Sclerosis, headache disorder, Epilepsy, and stroke - Provides readers with illustrative examples of how artificial intelligence can be applied to outcome prediction, neurorehabilitation and clinical exams, including a wide range of case studies in predicting and classifying neurological disorders
Cognitive Predictive Maintenance Tools For Brain Diseases
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Author : Shweta Gupta
language : en
Publisher: CRC Press
Release Date : 2024-08-13
Cognitive Predictive Maintenance Tools For Brain Diseases written by Shweta Gupta and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-13 with Computers categories.
This book involves the design, analysis, and application of various cognitive predictive maintenance tests with the help of tools like vibration analysis, ultrasonic analysis, infrared analysis, oil analysis, laser-shaft alignment, and motor circuit analysis in the prediction of various cognitive diseases such as epilepsy, Parkinson’s disease, Alzheimer’s disease, and depression. These are needed since there are no proper medical tests available to predict these diseases in remote areas at an early stage. Various emerging technologies are analyzed for the design of tests. Key features: Incorporates innovative processes for treating cognitive diseases. Early and exact identification and treatment strategies are incorporated. Future technologies like artificial intelligence, machine learning, the IoT, and data science are used to find solutions. Analysis with existing cognitive disease solutions is incorporated and simulations provided. The novelty of the book lies in the accurate prediction of cognitive diseases. Encompassing future technologies and various communication protocols or devices available for cognitive diseases for the design of new equipment are an outcome of the book. Various parameters like power consumption, productivity, and safety should be taken into account during the analysis, design, and application of a product. The book could well be added to the curriculum of medical colleges and biomedical engineering students. Possible vendors include biomedical research centers like Biotechnika and the Indian Council of Medical Research (ICMR). It would be a breakthrough for biomedical companies to launch their new products.
Deep Learning Techniques And Their Applications To The Healthy And Disordered Brain During Development Through Adulthood And Beyond
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Author : Amir Shmuel
language : en
Publisher: Frontiers Media SA
Release Date : 2023-02-07
Deep Learning Techniques And Their Applications To The Healthy And Disordered Brain During Development Through Adulthood And Beyond written by Amir Shmuel and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-02-07 with Science categories.
Innovations In Computational Intelligence And Computer Vision
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Author : Satyabrata Roy
language : en
Publisher: Springer Nature
Release Date : 2022-05-14
Innovations In Computational Intelligence And Computer Vision written by Satyabrata Roy and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-14 with Technology & Engineering categories.
This book presents high-quality, peer-reviewed papers from the International Conference on “Innovations in Computational Intelligence and Computer Vision (ICICV 2021),” hosted by Manipal University Jaipur, Rajasthan, India, on August 5–6, 2021. Offering a collection of innovative ideas from researchers, scientists, academics, industry professionals and students, the book covers a variety of topics, such as artificial intelligence and computer vision, image processing and video analysis, applications and services of artificial intelligence and computer vision, interdisciplinary areas combining artificial intelligence and computer vision, and other innovative practices.
Advances In Data Driven Computing And Intelligent Systems
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Author : Swagatam Das
language : en
Publisher: Springer Nature
Release Date : 2024-04-10
Advances In Data Driven Computing And Intelligent Systems written by Swagatam Das and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-10 with Technology & Engineering categories.
The volume is a collection of best selected research papers presented at International Conference on Advances in Data-driven Computing and Intelligent Systems (ADCIS 2023) held at BITS Pilani, K K Birla Goa Campus, Goa, India during 21 – 23 September 2023. It includes state-of-the art research work in the cutting-edge technologies in the field of data science and intelligent systems. The book presents data-driven computing; it is a new field of computational analysis which uses provided data to directly produce predictive outcomes. The book will be useful for academicians, research scholars, and industry persons.