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Machine Learning for Brain Disorders
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Editor(s):
Olivier Colliot
Publication date
(Print):
2023
Publisher:
Springer US
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Annual Reviews AI, Machine Learning, and Society
Author and book information
Book
ISBN (Print):
978-1-0716-3194-2
ISBN (Electronic):
978-1-0716-3195-9
Publication date (Print):
2023
DOI:
10.1007/978-1-0716-3195-9
SO-VID:
10880982-e656-4a2c-84ae-8271deb370d7
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Book chapters
pp. 3
A Non-technical Introduction to Machine Learning
pp. 25
Classic Machine Learning Methods
pp. 77
Deep Learning: Basics and Convolutional Neural Networks (CNNs)
pp. 117
Recurrent Neural Networks (RNNs): Architectures, Training Tricks, and Introduction to Influential Research
pp. 139
Generative Adversarial Networks and Other Generative Models
pp. 193
Transformers and Visual Transformers
pp. 233
Clinical Assessment of Brain Disorders
pp. 253
Neuroimaging in Machine Learning for Brain Disorders
pp. 285
Electroencephalography and Magnetoencephalography
pp. 313
Working with Omics Data: An Interdisciplinary Challenge at the Crossroads of Biology and Computer Science
pp. 331
Electronic Health Records as Source of Research Data
pp. 355
Mobile Devices, Connected Objects, and Sensors
pp. 391
Medical Image Segmentation Using Deep Learning
pp. 435
Image Registration: Fundamentals and Recent Advances Based on Deep Learning
pp. 459
Computer-Aided Diagnosis and Prediction in Brain Disorders
pp. 491
Subtyping Brain Diseases from Imaging Data
pp. 511
Data-Driven Disease Progression Modeling
pp. 533
Computational Pathology for Brain Disorders
pp. 573
Integration of Multimodal Data
pp. 601
Evaluating Machine Learning Models and Their Diagnostic Value
pp. 631
Reproducibility in Machine Learning for Medical Imaging
pp. 655
Interpretability of Machine Learning Methods Applied to Neuroimaging
pp. 705
A Regulatory Science Perspective on Performance Assessment of Machine Learning Algorithms in Imaging
pp. 753
Main Existing Datasets for Open Brain Research on Humans
pp. 807
Machine Learning for Alzheimer’s Disease and Related Dementias
pp. 847
Machine Learning for Parkinson’s Disease and Related Disorders
pp. 879
Machine Learning in Neuroimaging of Epilepsy
pp. 899
Machine Learning in Multiple Sclerosis
pp. 921
Machine Learning for Cerebrovascular Disorders
pp. 963
The Role of Artificial Intelligence in Neuro-oncology Imaging
pp. 977
Machine Learning for Neurodevelopmental Disorders
pp. 1009
Machine Learning and Brain Imaging for Psychiatric Disorders: New Perspectives
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