[PDF] Intelligent Diagnosis With Adversarial Machine Learning In Multimodal Biomedical Brain Images - eBooks Review

Intelligent Diagnosis With Adversarial Machine Learning In Multimodal Biomedical Brain Images


Intelligent Diagnosis With Adversarial Machine Learning In Multimodal Biomedical Brain Images
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Download Intelligent Diagnosis With Adversarial Machine Learning In Multimodal Biomedical Brain Images PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Intelligent Diagnosis With Adversarial Machine Learning In Multimodal Biomedical Brain Images book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page



Intelligent Diagnosis With Adversarial Machine Learning In Multimodal Biomedical Brain Images


Intelligent Diagnosis With Adversarial Machine Learning In Multimodal Biomedical Brain Images
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Author : Yuhui Zheng
language : en
Publisher: Frontiers Media SA
Release Date : 2021-09-23

Intelligent Diagnosis With Adversarial Machine Learning In Multimodal Biomedical Brain Images written by Yuhui Zheng 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 2021-09-23 with Science categories.




Adversarial Deep Generative Techniques For Early Diagnosis Of Neurological Conditions And Mental Health Practises


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.



Applications Of Machine Intelligence In Engineering


Applications Of Machine Intelligence In Engineering
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Author : Jyotsna Kumar Mandal
language : en
Publisher: CRC Press
Release Date : 2022-04-21

Applications Of Machine Intelligence In Engineering written by Jyotsna Kumar Mandal and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-04-21 with Computers categories.


The Global Conference on Artificial Intelligence and Applications (GCAIA 2021) provides a prominent venue for researchers, engineers, entrepreneurs, and scholar students to share their research ideas in the area of AI. Academic researchers would reveal the results and conclusions of laboratory based investigations via the GCAIA 21 platform, which bridges the gap between academia, industry, and government ethics. The GCAIA 21 platform will also bring together regional and worldwide issues to explore current advancements in contemporary Computation Intelligence. This Conference Proceedings volume contains the written versions of most of the contributions presented during the conference of GCAIA 2021. The conference has provided an excellent chance for researchers from diverse locations to present and debate their work in the field of artificial intelligence and its applications. It includes a selection of 62 papers. All accepted papers were subjected to strict peer-review by 2–4 expert referees. The papers have been selected for this volume because of their quality and their relevance to the theme of the conference.



Artificial Intelligence And Mri Boosting Clinical Diagnosis


Artificial Intelligence And Mri Boosting Clinical Diagnosis
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Author : Antonio Napolitano
language : en
Publisher: Frontiers Media SA
Release Date : 2022-08-05

Artificial Intelligence And Mri Boosting Clinical Diagnosis written by Antonio Napolitano 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 2022-08-05 with Medical categories.




Computational Intelligence Algorithms For The Diagnosis Of Neurological Disorders


Computational Intelligence Algorithms For The Diagnosis Of Neurological Disorders
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Author : S. N. Kumar
language : en
Publisher: CRC Press
Release Date : 2025-08-06

Computational Intelligence Algorithms For The Diagnosis Of Neurological Disorders written by S. N. Kumar and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-06 with Computers categories.


This book delves into the transformative potential of artificial intelligence (AI) and machine learning (ML) as game-changers in diagnosing and managing neurodisorder conditions. It covers a wide array of methodologies, algorithms, and applications in depth. Computational Intelligence Algorithms for the Diagnosis of Neurological Disorders equips readers with a comprehensive understanding of how computational intelligence empowers healthcare professionals in the fight against neurodisorders. Through practical examples and clear explanations, it explores the diverse applications of these technologies, showcasing their ability to analyze complex medical data, identify subtle patterns, and contribute to the development of more accurate and efficient diagnostic tools. The authors delve into the exciting possibilities of AI-powered algorithms, exploring their ability to analyze various data sources like neuroimaging scans, genetic information, and cognitive assessments. They also examine the realm of ML for pattern recognition, enabling the identification of early disease markers and facilitating timely intervention. Finally, the authors also address the critical challenges of data privacy and security, emphasizing the need for robust ethical frameworks to safeguard sensitive patient information. This book aims to spark a conversation and foster collaboration among researchers, clinicians, and technologists, and will assist radiologists and neurologists in making precise diagnoses with enhanced accuracy.



Artificial Intelligence In Neurological Disorders


Artificial Intelligence In Neurological Disorders
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Author : Rishabha Malviya
language : en
Publisher: John Wiley & Sons
Release Date : 2025-06-25

Artificial Intelligence In Neurological Disorders written by Rishabha Malviya and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-25 with Computers categories.


The book gives invaluable insights into how artificial intelligence is revolutionizing the management and treatment of neurological disorders, empowering you to stay ahead in the rapidly evolving landscape of healthcare. Embark on a groundbreaking exploration of the intersection between cutting-edge technology and the intricate complexities of neurological disorders. Artificial Intelligence in Neurological Disorders: Management, Diagnosis and Treatment comprehensively introduces how artificial intelligence is becoming a vital ally in neurology, offering unprecedented advancements in management, diagnosis, and treatment. As the digital age converges with medical expertise, this book unveils a comprehensive roadmap for leveraging artificial intelligence to revolutionize neurological healthcare. Delve into the core principles that underpin AI applications in the field by exploring intricate algorithms that enhance the precision of diagnosis and how machine learning not only refines the understanding of neurological disorders but also paves the way for personalized treatment strategies tailored to individual patient needs. With compelling case studies and real-world examples, the realms of neuroscience and artificial intelligence converge, illustrating the symbiotic relationship that holds the promise of transforming patient care. Readers of this book will find it: Provides future perspectives on advancing artificial intelligence applications in neurological disorders; Focuses on the role of AI in diagnostics, delving into how advanced algorithms and machine learning techniques contribute to more accurate and timely diagnosis of neurological disorders; Emphasizes practical integration of AI tools into clinical practice, offering insights into how healthcare professionals can leverage AI technology for more effective patient care; Recognizes the interdisciplinary nature of neurology and AI, bridging the gap between these fields, making it accessible to healthcare professionals, researchers, and technologists; Addresses the ethical implications of AI in healthcare, exploring issues such as data privacy, bias, and the responsible deployment of AI technologies in the neurological domain. Audience Researchers, scientists, industrialists, faculty members, healthcare professionals, hospital management, biomedical industrialists, engineers, and IT professionals interested in studying the intersection of AI and neurology.



Image Based Digital Tools For Diagnosis And Surgical Treatment Applications Challenges And Prospects


Image Based Digital Tools For Diagnosis And Surgical Treatment Applications Challenges And Prospects
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Author : Laura Cercenelli
language : en
Publisher: Frontiers Media SA
Release Date : 2025-06-18

Image Based Digital Tools For Diagnosis And Surgical Treatment Applications Challenges And Prospects written by Laura Cercenelli 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 2025-06-18 with Technology & Engineering categories.


Image-based digital tools include a range of technologies such as 3D modeling, 3D printing, Virtual Reality (VR), and Augmented Reality (AR), originating from a common data source, i.e. patient diagnostic imaging. Also, artificial intelligence (AI) is a rapidly increasing technology that can be applied to diagnostic imaging. In recent years these tools have attracted great attention in the medical field to support preoperative planning, intraoperative guidance, diagnostics, and therapeutics, as well as for educational purposes. Indeed, interventional procedures and surgery applications are being developed to display virtual medical images and patient-specific 3D virtual models that can be manipulated before the intervention. These virtual anatomical models can be used to build physical replicas and/or to design patient-specific surgical tools and therapeutic devices using advanced 3D printing technologies. The virtual models can also be visually overlaid, fused, or integrated into reality using AR. With AR visualization, different types of virtual information can be projected in the surgeon’s line of view, facilitating navigation and decision-making. Also, AI applied to diagnostic medical images is expected to produce significant innovations, such as more efficient automatic image scan and processing and a more efficient examination and diagnosis workflow.



Artificial Intelligence In Radiation Oncology And Biomedical Physics


Artificial Intelligence In Radiation Oncology And Biomedical Physics
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Author : Gilmer Valdes
language : en
Publisher: CRC Press
Release Date : 2023-08-14

Artificial Intelligence In Radiation Oncology And Biomedical Physics written by Gilmer Valdes and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-08-14 with Computers categories.


This pioneering book explores how machine learning and other AI techniques impact millions of cancer patients who benefit from ionizing radiation. It features contributions from global researchers and clinicians, focusing on the clinical applications of machine learning for medical physics. AI and machine learning have attracted much recent attention and are being increasingly adopted in medicine, with many clinical components and commercial software including aspects of machine learning integration. General principles and important techniques in machine learning are introduced, followed by discussion of clinical applications, particularly in radiomics, outcome prediction, registration and segmentation, treatment planning, quality assurance, image processing, and clinical decision-making. Finally, a futuristic look at the role of AI in radiation oncology is provided. This book brings medical physicists and radiation oncologists up to date with the most novel applications of machine learning to medical physics. Practitioners will appreciate the insightful discussions and detailed descriptions in each chapter. Its emphasis on clinical applications reaches a wide audience within the medical physics profession.



Predictive Intelligence In Medicine


Predictive Intelligence In Medicine
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Author : Islem Rekik
language : en
Publisher: Springer Nature
Release Date : 2024-10-17

Predictive Intelligence In Medicine written by Islem Rekik and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-17 with Computers categories.


This volume constitutes the refereed proceedings of the 7th International Workshop on Predictive Intelligence in Medicine, PRIME 2024, held in conjunction with the 27th International conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2024, in Marrakesh, Morocco in October 2024. The 17 full papers presented here were carefully reviewed and selected from 22 submissions. These papers focus on the current, cutting-edge Predictive models and methods with applications in the field of Medical data analysis, for early disease prediction and prevention.



Brain Functional Analysis And Brain Like Intelligence


Brain Functional Analysis And Brain Like Intelligence
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Author : Shihui Ying
language : en
Publisher: Frontiers Media SA
Release Date : 2024-03-12

Brain Functional Analysis And Brain Like Intelligence written by Shihui Ying 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 2024-03-12 with Science categories.