Machine Learning in Clinical Neuroimaging
Springer International Publishing (Verlag)
978-3-030-87585-5 (ISBN)
The 17 papers presented in this book were carefully reviewed and selected from 27 submissions. They were organized in topical sections named: computational anatomy and brain networks and time series.
Computational Anatomy.- Unfolding the medial temporal lobe cortex to characterize neurodegeneration due to Alzheimer's disease pathology using ex vivo imaging.- Distinguishing Healthy Ageing from Dementia: a Biomechanical Simulation of Brain Atrophy using Deep Networks.- Towards Self-Explainable Classifiers and Regressors in Neuroimaging with Normalizing Flows.- Patch vs. global image-based unsupervised anomaly detection in MR brain scans of early Parkinsonian patients.- MRI image registration considerably improves CNN-based disease classification.- Dynamic Sub-graph Learning for Patch-based Cortical Folding Classification.- Detection of abnormal folding patterns with unsupervised deep generative models.- PialNN: A Fast Deep Learning Framework for Cortical Pial Surface Reconstruction.- Multi-Modal Brain Segmentation Using Hyper-Fused Convolutional Neural Network.- Robust Hydrocephalus Brain Segmentation via Globally and Locally Spatial Guidance.- Brain Networks and Time Series.- Geometric Deep Learning of the Human Connectome Project Multimodal Cortical Parcellation.- Deep Stacking Networks for Conditional Nonlinear Granger Causal Modeling of fMRI Data.- Dynamic Adaptive Spatio-temporal Graph Convolution for fMRI Modelling.- Structure-Function Mapping via Graph Neural Networks.- Improving Phenotype Prediction using Long-Range Spatio-Temporal Dynamics of Functional Connectivity.- H3K27M Mutations Prediction for Brainstem Gliomas Based on Diffusion Radiomics Learning.- Constrained Learning of Task-related and Spatially-Coherent Dictionaries from Task fMRI Data.
| Erscheinungsdatum | 24.09.2021 |
|---|---|
| Reihe/Serie | Image Processing, Computer Vision, Pattern Recognition, and Graphics | Lecture Notes in Computer Science |
| Zusatzinfo | XI, 176 p. 65 illus., 53 illus. in color. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Gewicht | 296 g |
| Themenwelt | Informatik ► Grafik / Design ► Digitale Bildverarbeitung |
| Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
| Informatik ► Weitere Themen ► Bioinformatik | |
| Naturwissenschaften ► Biologie ► Genetik / Molekularbiologie | |
| Schlagworte | Applications • Artificial Intelligence • Bioinformatics • Brain Mapping • clinical neuroimaging • computational anatomy • Computer Science • computer vision • conference proceedings • Deep learning • functional magnetic resonance imaging • image enhancement • Image Processing • image reconstruction • Informatics • machine learning • Medical Image Analysis • Medical Image Computing • Medical Images • Neural networks • pattern recognition • Research |
| ISBN-10 | 3-030-87585-7 / 3030875857 |
| ISBN-13 | 978-3-030-87585-5 / 9783030875855 |
| Zustand | Neuware |
| Haben Sie eine Frage zum Produkt? |
aus dem Bereich
