Inter- and Intra-subject Variability in Brain Imaging and Decoding

Inter- and Intra-subject Variability in Brain Imaging and Decoding PDF Author: Tzyy-Ping Jung
Publisher: Frontiers Media SA
ISBN: 2889740870
Category : Science
Languages : en
Pages : 211

Get Book Here

Book Description

Inter- and Intra-subject Variability in Brain Imaging and Decoding

Inter- and Intra-subject Variability in Brain Imaging and Decoding PDF Author: Tzyy-Ping Jung
Publisher: Frontiers Media SA
ISBN: 2889740870
Category : Science
Languages : en
Pages : 211

Get Book Here

Book Description


Machine Learning and Interpretation in Neuroimaging

Machine Learning and Interpretation in Neuroimaging PDF Author: Georg Langs
Publisher: Springer
ISBN: 3642347134
Category : Computers
Languages : en
Pages : 277

Get Book Here

Book Description
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.

Pattern Analysis of the Human Connectome

Pattern Analysis of the Human Connectome PDF Author: Dewen Hu
Publisher: Springer
ISBN: 9789813295254
Category : Medical
Languages : en
Pages : 0

Get Book Here

Book Description
This book presents recent advances in pattern analysis of the human connectome. The human connectome, measured by magnetic resonance imaging at the macroscale, provides a comprehensive description of how brain regions are connected. Based on machine learning methods, multiviarate pattern analysis can directly decode psychological or cognitive states from brain connectivity patterns. Although there are a number of works with chapters on conventional human connectome encoding (brain-mapping), there are few resources on human connectome decoding (brain-reading). Focusing mainly on advances made over the past decade in the field of manifold learning, sparse coding, multi-task learning, and deep learning of the human connectome and applications, this book helps students and researchers gain an overall picture of pattern analysis of the human connectome. It also offers valuable insights for clinicians involved in the clinical diagnosis and treatment evaluation of neuropsychiatric disorders.

Casting Light on the Dark Side of Brain Imaging

Casting Light on the Dark Side of Brain Imaging PDF Author: Amir Raz
Publisher: Academic Press
ISBN: 0128163097
Category : Psychology
Languages : en
Pages : 206

Get Book Here

Book Description
Most people find colorful brain scans highly compelling—and yet, many experts don't. This discrepancy begs the question: What can we learn from neuroimaging? Is brain information useful in fields such as psychiatry, law, or education? How do neuroscientists create brain activation maps and why do we admire them? Casting Light on The Dark Side of Brain Imaging tackles these questions through a critical and constructive lens—separating fruitful science from misleading neuro-babble. In a breezy writing style accessible to a wide readership, experts from across the brain sciences offer their uncensored thoughts to help advance brain research and debunk the craze for reductionist, headline-grabbing neuroscience. This collection of short, enlightening essays is suitable for anyone interested in brain science, from students to professionals. Together, we take a hard look at the science behind brain imaging and outline why this technique remains promising despite its seldom-discussed shortcomings. - Challenges the tendency toward neuro-reductionism - Deconstructs hype through a critical yet constructive lens - Unveils the nature of brain imaging data - Explores emerging brain technologies and future directions - Features a non-technical and accessible writing style

Advanced Computational Intelligence Methods for Processing Brain Imaging Data

Advanced Computational Intelligence Methods for Processing Brain Imaging Data PDF Author: Kaijian Xia
Publisher: Frontiers Media SA
ISBN: 2832504620
Category : Science
Languages : en
Pages : 754

Get Book Here

Book Description


Handbook of Biomedical Imaging

Handbook of Biomedical Imaging PDF Author: Nikos Paragios
Publisher: Springer
ISBN: 038709749X
Category : Computers
Languages : en
Pages : 501

Get Book Here

Book Description
This book offers a unique guide to the entire chain of biomedical imaging, explaining how image formation is done, and how the most appropriate algorithms are used to address demands and diagnoses. It is an exceptional tool for radiologists, research scientists, senior undergraduate and graduate students in health sciences and engineering, and university professors.

Machine Learning in Medical Imaging

Machine Learning in Medical Imaging PDF Author: Fei Wang
Publisher: Springer
ISBN: 3642354289
Category : Computers
Languages : en
Pages : 287

Get Book Here

Book Description
This book constitutes the refereed proceedings of the Third International Workshop on Machine Learning in Medical Imaging, MLMI 2012, held in conjunction with MICCAI 2012, in Nice, France, in October 2012. The 33 revised full papers presented were carefully reviewed and selected from 67 submissions. The main aim of this workshop is to help advance the scientific research within the broad field of machine learning in medical imaging. It focuses on major trends and challenges in this area, and it presents work aimed to identify new cutting-edge techniques and their use in medical imaging.

The SAGE Encyclopedia of Social Science Research Methods

The SAGE Encyclopedia of Social Science Research Methods PDF Author: Michael Lewis-Beck
Publisher: SAGE
ISBN: 9780761923633
Category : Reference
Languages : en
Pages : 460

Get Book Here

Book Description
Featuring over 900 entries, this resource covers all disciplines within the social sciences with both concise definitions & in-depth essays.

The Microstructural Border Between the Motor and the Cognitive Domain in the Human Cerebral Cortex

The Microstructural Border Between the Motor and the Cognitive Domain in the Human Cerebral Cortex PDF Author: Stefan Geyer
Publisher: Springer Science & Business Media
ISBN: 3642189105
Category : Medical
Languages : en
Pages : 153

Get Book Here

Book Description
Over the last years, numerous studies have provided new insights into the structural and functional organization of the human cortical motor system. The data reviewed in this book indicate that striking similarities have been found between humans and non-human primates.

Neuroimaging Techniques in Clinical Practice

Neuroimaging Techniques in Clinical Practice PDF Author: Manoj Mannil
Publisher: Springer Nature
ISBN: 303048419X
Category : Medical
Languages : en
Pages : 340

Get Book Here

Book Description
This book provides a concise overview of emerging technologies in the field of modern neuroimaging. Fundamental principles of the main imaging modalities are described as well as advanced imaging techniqes including diffusion weighted imaging, perfusion imaging, arterial spin labeling, diffusion tensor imaging, intravoxel incoherent motion, MR spectroscopy, functional MRI, and artificial intelligence. The physical concepts underlying each imaging technique are carefully and clearly explained in a way suited to a medical audience without prior technical knowledge. In addition, the clinical applications of the various techniques are described with the aid of illustrative clinical examples. Helpful background information is also presented on the core principles of MRI and the evolution of neuroimaging, and important references to current medical research are highlighted. The book will meet the needs of a range of non-technological professionals with an interest in advanced neuroimaging, including radiology researchers and clinicians in the fields of neurology, neurosurgery, and psychiatry.