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Machine Learning in Clinical Neuroimaging

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Cover of 'Machine Learning in Clinical Neuroimaging'

Table of Contents

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    Book Overview
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    Chapter 1 Image-to-Image Translation Between Tau Pathology and Neuronal Metabolism PET in Alzheimer Disease with Multi-domain Contrastive Learning
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    Chapter 2 Multi-shell dMRI Estimation from Single-Shell Data via Deep Learning
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    Chapter 3 A Three-Player GAN for Super-Resolution in Magnetic Resonance Imaging
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    Chapter 4 Cross-Attention for Improved Motion Correction in Brain PET
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    Chapter 5 VesselShot: Few-shot Learning for Cerebral Blood Vessel Segmentation
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    Chapter 6 WaveSep: A Flexible Wavelet-Based Approach for Source Separation in Susceptibility Imaging
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    Chapter 7 Joint Estimation of Neural Events and Hemodynamic Response Functions from Task fMRI via Convolutional Neural Networks
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    Chapter 8 Learning Sequential Information in Task-Based fMRI for Synthetic Data Augmentation
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    Chapter 9 Causal Sensitivity Analysis for Hidden Confounding: Modeling the Sex-Specific Role of Diet on the Aging Brain
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    Chapter 10 MixUp Brain-Cortical Augmentations in Self-supervised Learning
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    Chapter 11 Brain Age Prediction Based on Head Computed Tomography Segmentation
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    Chapter 12 Pretraining is All You Need: A Multi-Atlas Enhanced Transformer Framework for Autism Spectrum Disorder Classification
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    Chapter 13 Copy Number Variation Informs fMRI-Based Prediction of Autism Spectrum Disorder
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    Chapter 14 Deep Attention Assisted Multi-resolution Networks for the Segmentation of White Matter Hyperintensities in Postmortem MRI Scans
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    Chapter 15 Stroke Outcome and Evolution Prediction from CT Brain Using a Spatiotemporal Diffusion Autoencoder
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    Chapter 16 Morphological Versus Functional Network Organization: A Comparison Between Structural Covariance Networks and Probabilistic Functional Modes
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Title
Machine Learning in Clinical Neuroimaging
Published by
Springer Nature Switzerland, November 2023
DOI 10.1007/978-3-031-44858-4
ISBNs
978-3-03-144857-7, 978-3-03-144858-4
Editors

Abdulkadir, Ahmed, Bathula, Deepti R., Dvornek, Nicha C., Govindarajan, Sindhuja T., Habes, Mohamad, Kumar, Vinod, Leonardsen, Esten, Wolfers, Thomas, Xiao, Yiming

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