Healthy Minds in the Twentieth Century In and Beyond the Asylum /

Table of Contents: “…Taylor and Alice Brumby -- Chapter 2: 'The Holy War against Alcohol': Alcoholism, Medicine and Psychiatry in Ireland, c. 1890-1921: Alice Mauger -- Chapter 3: Social Stigma, Stress, and Enforced Transition in Specialist Epilepsy Services 1905-1965: Rachel Hewitt -- Chapter 4: Planning for the Future: Special Education and the creation of 'Healthy Minds': Steven J. …”
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Diseases of the Brain, Head and Neck, Spine 2020-2023 Diagnostic Imaging /

Table of Contents: “…Imaging the Patient with Epilepsy or Seizures -- Chapter 11. Dementia & Other Neurodegenerative Disorders -- Chapter 12. …”
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Machine Learning for Brain Disorders

Table of Contents: “…A Non-Technical Introduction to Machine Learning -- Classic Machine Learning Methods -- Deep Learning: Basics and Convolutional Neural Networks (CNN) -- Recurrent Neural Networks (RNN) - Architectures, Training Tricks, and Introduction to Influential Research -- Generative Adversarial Networks and Other Generative Models -- Transformers and Visual Transformers -- Clinical Assessment of Brain Disorders -- Neuroimaging in Machine Learning for Brain Disorders -- Electroencephalography and Magnetoencephalography -- Working with Omics Data, An Interdisciplinary Challenge at the Crossroads of Biology and Computer Science -- Electronic Health Records as Source of Research Data -- Mobile Devices, Connected Objects, and Sensors -- Medical Image Segmentation using Deep Learning -- Image Registration: Fundamentals and Recent Advances Based on Deep Learning -- Computer-Aided Diagnosis and Prediction in Brain Disorders -- Subtyping Brain Diseases from Imaging Data -- Data-Driven Disease Progression Modelling -- Computational Pathology for Brain Disorders -- Integration of Multimodal Data -- Evaluating Machine Learning Models and their Diagnostic Value -- Reproducibility in Machine Learning for Medical Imaging -- Interpretability of Machine Learning Methods Applied to Neuroimaging -- A Regulatory Science Perspective on Performance Assessment of Machine Learning Algorithms in Imaging -- Main Existing Datasets for Open Brain Research on Humans -- Machine Learning for Alzheimer's Disease and Related Dementias -- Machine Learning for Parkinson's Disease and Related Disorders -- Machine Learning in Neuroimaging of Epilepsy -- Machine Learning in Multiple Sclerosis -- Machine Learning for Cerebrovascular Disorders -- The Role of Artificial Intelligence in Neuro-Oncology Imaging -- Machine Learning for Neurodevelopmental Disorders -- Machine Learning and BrainImaging for Psychiatric Disorders: New Perspectives.…”
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