Download or read book Artificial Intelligence and Machine Learning an Issue of Neuroimaging Clinics of North America Volume 30 4 written by Reza Forghani and published by Elsevier. This book was released on 2020-11-30 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt: This issue of Neuroimaging Clinics of North America focuses on Artificial Intelligence and Machine Learning and is edited by Dr. Reza Forghani. Articles will include: A Brief History of Artificial Intelligence; Evolution of Approaches for Computerized Image Analysis; Overview of Machine Learning Part 1: Classic Approaches; Overview of Machine Learning Part 2: Artificial Neural Networks & Deep Learning; Overview of Natural Language Processing; Artificial Intelligence & Stroke Imaging: An East Coast Perspective; Artificial Intelligence & Stroke Imaging: A West Coast Perspective; Artificial Intelligence Applications for Brain Tumor Imaging; Diverse Applications of Artificial Intelligence in Neuroradiology; Artificial Intelligence Applications for Head and Neck Imaging; Artificial Intelligence Applications for Predictive Analytics and Workflow Optimization; Artificial Intelligence, Advanced Visualization, and 3D Printing; Ethical & Legal Considerations for Artificial Intelligence; Comprehensive (or 360) Artificial Intelligence: Beyond Image Interpretation Alone, and more!
Download or read book Machine Learning and Other Artificial Intelligence Applications An Issue of Neuroimaging Clinics of North America E Book written by Reza Forghani and published by Elsevier Health Sciences. This book was released on 2020-10-23 with total page 192 pages. Available in PDF, EPUB and Kindle. Book excerpt: This issue of Neuroimaging Clinics of North America focuses on Artificial Intelligence and Machine Learning and is edited by Dr. Reza Forghani. Articles will include: A Brief History of Artificial Intelligence; Evolution of Approaches for Computerized Image Analysis; Overview of Machine Learning Part 1: Classic Approaches; Overview of Machine Learning Part 2: Artificial Neural Networks & Deep Learning; Overview of Natural Language Processing; Artificial Intelligence & Stroke Imaging: An East Coast Perspective; Artificial Intelligence & Stroke Imaging: A West Coast Perspective; Artificial Intelligence Applications for Brain Tumor Imaging; Diverse Applications of Artificial Intelligence in Neuroradiology; Artificial Intelligence Applications for Head and Neck Imaging; Artificial Intelligence Applications for Predictive Analytics and Workflow Optimization; Artificial Intelligence, Advanced Visualization, and 3D Printing; Ethical & Legal Considerations for Artificial Intelligence; Comprehensive (or 360) Artificial Intelligence: Beyond Image Interpretation Alone, and more!
Download or read book Handbook of Research on Thrust Technologies Effect on Image Processing written by Pandey, Binay Kumar and published by IGI Global. This book was released on 2023-08-04 with total page 594 pages. Available in PDF, EPUB and Kindle. Book excerpt: Image processing integrates and extracts data from photos for a variety of uses. Applications for image processing are useful in many different disciplines. A few examples include remote sensing, space applications, industrial applications, medical imaging, and military applications. Imaging systems come in many different varieties, including those used for chemical, optical, thermal, medicinal, and molecular imaging. To extract the accurate picture values, scanning methods and statistical analysis must be used for image analysis. Thrust Technologies Effect on Image Processing provides insights into image processing and the technologies that can be used to enhance additional information within an image. The book is also a useful resource for researchers to grow their interest and understanding in the burgeoning fields of image processing. Covering key topics such as image augmentation, artificial intelligence, and cloud computing, this premier reference source is ideal for computer scientists, industry professionals, researchers, academicians, scholars, practitioners, instructors, and students.
Download or read book Machine Learning Based Modelling in Atomic Layer Deposition Processes written by Oluwatobi Adeleke and published by CRC Press. This book was released on 2023-12-15 with total page 353 pages. Available in PDF, EPUB and Kindle. Book excerpt: While thin film technology has benefited greatly from artificial intelligence (AI) and machine learning (ML) techniques, there is still much to be learned from a full-scale exploration of these technologies in atomic layer deposition (ALD). This book provides in-depth information regarding the application of ML-based modeling techniques in thin film technology as a standalone approach and integrated with the classical simulation and modeling methods. It is the first of its kind to present detailed information regarding approaches in ML-based modeling, optimization, and prediction of the behaviors and characteristics of ALD for improved process quality control and discovery of new materials. As such, this book fills significant knowledge gaps in the existing resources as it provides extensive information on ML and its applications in film thin technology. Offers an in-depth overview of the fundamentals of thin film technology, state-of-the-art computational simulation approaches in ALD, ML techniques, algorithms, applications, and challenges. Establishes the need for and significance of ML applications in ALD while introducing integration approaches for ML techniques with computation simulation approaches. Explores the application of key techniques in ML, such as predictive analysis, classification techniques, feature engineering, image processing capability, and microstructural analysis of deep learning algorithms and generative model benefits in ALD. Helps readers gain a holistic understanding of the exciting applications of ML-based solutions to ALD problems and apply them to real-world issues. Aimed at materials scientists and engineers, this book fills significant knowledge gaps in existing resources as it provides extensive information on ML and its applications in film thin technology. It also opens space for future intensive research and intriguing opportunities for ML-enhanced ALD processes, which scale from academic to industrial applications. . .
Download or read book Artificial Intelligence and Society 5 0 written by Vikas Khullar and published by CRC Press. This book was released on 2024-01-22 with total page 294 pages. Available in PDF, EPUB and Kindle. Book excerpt: The artificial intelligence-based framework, algorithms, and applications presented in this book take the perspective of Society 5.0 – a social order supported by innovation in data, information, and knowledge. It showcases current case studies of Society 5.0 in diverse areas such as healthcare, smart cities, and infrastructure. Key Features: Elaborates on the use of big data, cyber-physical systems, robotics, augmented-virtual reality, and cybersecurity as pillars for Society 5.0. Showcases the use of artificial intelligence, architecture, frameworks, and distributed and federated learning structures in Society 5.0. Discusses speech recognition, image classification, robotic process automation, natural language generation, and decision support automation. Elucidates the application of machine learning, deep learning, fuzzy-based systems, and natural language processing. Includes case studies on the application of Society 5.0 aspects in educational, medical, infrastructure, and smart cities. The book is intendended especially for graduate and postgraduate students, and academic researchers in the fields of computer science and engineering, electrical engineering, and information technology.
Download or read book Artificial Intelligence in Radiology An Issue of Radiologic Clinics of North America E Book written by Daniel L. Rubin and published by Elsevier Health Sciences. This book was released on 2021-10-27 with total page 201 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence in Radiology, An Issue of Radiologic Clinics of North America, E-Book
Download or read book Artificial Intelligence in Medical Imaging written by Erik R. Ranschaert and published by Springer. This book was released on 2019-01-29 with total page 373 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a thorough overview of the ongoing evolution in the application of artificial intelligence (AI) within healthcare and radiology, enabling readers to gain a deeper insight into the technological background of AI and the impacts of new and emerging technologies on medical imaging. After an introduction on game changers in radiology, such as deep learning technology, the technological evolution of AI in computing science and medical image computing is described, with explanation of basic principles and the types and subtypes of AI. Subsequent sections address the use of imaging biomarkers, the development and validation of AI applications, and various aspects and issues relating to the growing role of big data in radiology. Diverse real-life clinical applications of AI are then outlined for different body parts, demonstrating their ability to add value to daily radiology practices. The concluding section focuses on the impact of AI on radiology and the implications for radiologists, for example with respect to training. Written by radiologists and IT professionals, the book will be of high value for radiologists, medical/clinical physicists, IT specialists, and imaging informatics professionals.
Download or read book Artificial Intelligence for Medical Image Analysis of NeuroImaging Data written by Nianyin Zeng and published by Frontiers Media SA. This book was released on 2020-07-03 with total page 224 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book MR Imaging of Head and Neck Cancer An Issue of Magnetic Resonance Imaging Clinics of North America E Book written by Ahmed Abdel Khalek Abdel Razek and published by Elsevier Health Sciences. This book was released on 2021-11-26 with total page 233 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this issue of MRI Clinics, guest editor Dr. Ahmed Abdel Khalek Abdel Razek brings his considerable expertise to the topic of MR Imaging of Head and Neck Cancer. Top experts in the field cover key topics such as artificial intelligence and deep learning of head and neck cancer, MR imaging of salivary gland tumors, MR imaging of vascular malformations and tumors of the head and neck, and more. Contains 14 relevant, practice-oriented topics including the role of MR imaging in head and neck squamous cell carcinoma; MR imaging of nasopharyngeal carcinoma; MR imaging of oropharyngeal cancer and oral cavity tumors; MR imaging of laryngeal and hypopharyngeal cancer; MR imaging of nasal and paranasal sinuses tumors; and more. Provides in-depth clinical reviews on MR imaging of head and neck cancer, offering actionable insights for clinical practice. Presents the latest information on this timely, focused topic under the leadership of experienced editors in the field. Authors synthesize and distill the latest research and practice guidelines to create clinically significant, topic-based reviews.
Download or read book Pain Management An Issue of Neurosurgery Clinics of North America E Book written by Joshua M. Rosenow and published by Elsevier Health Sciences. This book was released on 2022-06-23 with total page 137 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this issue of Neurosurgery Clinics, guest editors Drs. Joshua M. Rosenow and Julie G. Pilitsis bring their considerable expertise to the topic of Pain Management. Because pain management often benefits from a multidisciplinary approach, this issue addresses how pain can be assessed and managed with and without medication (e.g., acupuncture, chiropractic medicine, mindfulness meditation) and procedures. Contains 15 relevant, practice-oriented topics including the multidisciplinary team in pain management; healthcare disparity in pain; nonopioid postoperative pain management; holistic therapy: what works and what does not; machine learning and pain outcomes; and more. Provides in-depth clinical reviews on pain management, offering actionable insights for clinical practice. Presents the latest information on this timely, focused topic under the leadership of experienced editors in the field. Authors synthesize and distill the latest research and practice guidelines to create clinically significant, topic-based reviews.
Download or read book Functional Connectivity An Issue of Neuroimaging Clinics of North America written by Jay J. Pillai and published by Elsevier Health Sciences. This book was released on 2017-10-11 with total page 209 pages. Available in PDF, EPUB and Kindle. Book excerpt: This issue of Neuroimaging Clinics of North America focuses on Functional Connectivity, and is edited by Dr. Jay Pillai. Articles will include: Applications of rs-fMRI to presurgical mapping: sensorimotor mapping; Dynamic functional connectivity methods; Machine learning applications to rs-fMRI analysis; Frequency domain analysis of rs-fMRI; Applications of rs-fMRI to epilepsy; Data-driven analysis methods for rs-fMRI; Applications of rs-fMRI to presurgical mapping: language mapping; Limitations of rs-fMRI in the setting of focal brain lesions; Applications of rs-fMRI to neuropsychiatric disease; Applications of rs-fMRI to Traumatic Brain Injury; Applications of rs-fMRI to neurodegenerative disease; Graph theoretic analysis of rs-fMRI; and more!
Download or read book Machine Learning and Deep Learning in Neuroimaging Data Analysis written by Anitha S. Pillai and published by CRC Press. This book was released on 2024-02-15 with total page 133 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine learning (ML) and deep learning (DL) have become essential tools in healthcare. They are capable of processing enormous amounts of data to find patterns and are also adopted into methods that manage and make sense of healthcare data, either electronic healthcare records or medical imagery. This book explores how ML/DL can assist neurologists in identifying, classifying or predicting neurological problems that require neuroimaging. With the ability to model high-dimensional datasets, supervised learning algorithms can help in relating brain images to behavioral or clinical observations and unsupervised learning can uncover hidden structures/patterns in images. Bringing together artificial intelligence (AI) experts as well as medical practitioners, these chapters cover the majority of neuro problems that use neuroimaging for diagnosis, along with case studies and directions for future research.
Download or read book Atlas of Psychiatry written by Waguih William IsHak and published by Springer Nature. This book was released on 2023-02-27 with total page 868 pages. Available in PDF, EPUB and Kindle. Book excerpt: This atlas is the first fully visual reference to cover psychiatry broadly, appealing to psychiatric as well as non-psychiatric clinicians and trainees who need an easy-to-use visual resource with holistic approach to patient care. Written by expert clinicians and educators, this text describes basic clinical and scholarly information across the field utilizing an easy-to-understand format. The rich figures and tables describe etiology, pathophysiology, phenomenology, and treatment even in areas that are difficult to illustrate, including substance-related disorders, neurodegenerative diseases, personality disorders, and others. The visual approach proves valuable to some of the most innovative techniques in psychiatry, including implications for neuroimaging. Comprehensive and unique, Atlas of Psychiatry is a landmark reference for all medical practitioners looking for an intricate yet accessible visual resource.
Download or read book Machine Learning and Interpretation in Neuroimaging written by Georg Langs and published by Springer. This book was released on 2012-11-11 with total page 277 pages. Available in PDF, EPUB and Kindle. Book excerpt: Brain imaging brings together the technology, methodology, research questions and approaches of a wide range of scientific fields including physics, statistics, computer science, neuroscience, biology, and engineering. Thus, methodological and technological advances that enable us to obtain measurements, examine relationships across observations, and link these data to neuroscientific hypotheses happen in a highly interdisciplinary environment. The dynamic field of machine learning with its modern approach to data mining provides many relevant approaches for neuroscience and enables the exploration of open questions. This state-of-the-art survey offers a collection of papers from the Workshop on Machine Learning and Interpretation in Neuroimaging, MLINI 2011, held at the 25th Annual Conference on Neural Information Processing, NIPS 2011, in the Sierra Nevada, Spain, in December 2011. Additionally, invited speakers agreed to contribute reviews on various aspects of the field, adding breadth and perspective to the volume. The 32 revised papers were carefully selected from 48 submissions. At the interface between machine learning and neuroimaging the papers aim at shedding some light on the state of the art in this interdisciplinary field. They are organized in topical sections on coding and decoding, neuroscience, dynamcis, connectivity, and probabilistic models and machine learning.
Download or read book Machine Learning and Interpretation in Neuroimaging written by Irina Rish and published by Springer. This book was released on 2016-09-12 with total page 133 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the revised selected papers from the 4th International Workshop on Machine Learning and Interpretation in Neuroimaging, MLINI 2014, held in Montreal, QC, Canada, in December 2014 as a satellite event of the 11th annual conference on Neural Information Processing Systems, NIPS 2014. The 10 MLINI 2014 papers presented in this volume were carefully reviewed and selected from 17 submissions. They were organized in topical sections named: networks and decoding; speech; clinics and cognition; and causality and time-series. In addition, the book contains the 3 best papers presented at MLINI 2013.
Download or read book State of the Art Evaluation of the Head and Neck An Issue of Neuroimaging Clinics of North America EBook written by Ashok Srinivasan and published by Elsevier Health Sciences. This book was released on 2020-07-31 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt: This issue of Neuroimaging Clinics of North America focuses on State of the Art Evaluation of the Head and Neck and is edited by Dr. Ashok Srinivasan. Articles will include: Diffusion MR in the head and neck: Principles and applications; Perfusion imaging in the head and neck: Go with the flow; MR spectroscopy of the head and neck: Principles, applications and challenges; Technological improvements in head and neck MR: At the cutting edge; Dual Energy CT in head and neck imaging: Pushing the envelope; Role of Ultrasound in head and neck evaluation; PET imaging in the head and neck: Current state and future directions; Patient centric head and neck cancer radiation therapy: Role of advanced imaging; AI in head and neck imaging: Glimpse into the future; NIRADS: Principles and implementation; Common data elements in head and neck reporting; and more!
Download or read book Thyroid and Parathyroid Imaging An Issue of Neuroimaging Clinics of North America E Book written by Salmaan Ahmed and published by Elsevier Health Sciences. This book was released on 2021-07-08 with total page 161 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this issue of Neuroimaging Clinics, guest editors Salmaan Ahmed and J. Matthew Debnam bring their considerable expertise to the topic of Thyroid and Parathyroid Imaging. Provides in-depth, clinical reviews on Thyroid and Parathyroid Imaging, providing actionable insights for clinical practice. Presents the latest information on this timely, focused topic under the leadership of experienced editors in the field; Authors synthesize and distill the latest research and practice guidelines to create these timely topic-based reviews.
