Multimodal Brain Image Analysis and Mathematical Foundations of Computational Anatomy 1st edition by Dajiang Zhu, Jingwen Yan, Heng Huang, Li Shen, Paul M. Thompson, Carl-Fredrik Westin, Xavier Pennec, Sarang Joshi, Mads Nielsen, Tom Fletcher, Stanley Durrleman, Stefan Sommer – Ebook PDF Instant Download/Delivery: 3030332268, 978-3030332266
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ISBN 10: 3030332268
ISBN 13: 978-3030332266
Author: Dajiang Zhu, Jingwen Yan, Heng Huang, Li Shen, Paul M. Thompson, Carl-Fredrik Westin, Xavier Pennec, Sarang Joshi, Mads Nielsen, Tom Fletcher, Stanley Durrleman, Stefan Sommer
Multimodal Brain Image Analysis and Mathematical Foundations of Computational Anatomy 1st Table of contents:
1. Non-rigid Registration of White Matter Tractography Using Coherent Point Drift Algorithm
- Focus on using the Coherent Point Drift (CPD) algorithm for non-rigid registration in the context of white matter tractography in brain imaging.
2. An Edge Enhanced SRGAN for MRI Super Resolution in Slice-Selection Direction
- Introduction of a Super-Resolution Generative Adversarial Network (SRGAN) for improving MRI image resolution, particularly along the slice-selection direction.
3. Exploring Functional Connectivity Biomarker in Autism Using Group-Wise Sparse Representation
- Application of group-wise sparse representation techniques for identifying functional connectivity biomarkers in individuals with autism spectrum disorder.
4. Classifying Stages of Mild Cognitive Impairment via Augmented Graph Embedding
- Use of augmented graph embedding for classifying stages of mild cognitive impairment (MCI) based on brain imaging data.
5. Mapping the Spatio-Temporal Functional Coherence in the Resting Brain
- Mapping of spatio-temporal functional coherence in the resting brain, providing insights into brain activity patterns at rest.
6. Species-Preserved Structural Connections Revealed by Sparse Tensor CCA
- Exploration of structural brain connections preserved across species using sparse tensor canonical correlation analysis (CCA).
7. Identification of Abnormal Cortical 3-Hinge Folding Patterns on Autism Spectral Brains
- Detection of abnormal 3-hinge cortical folding patterns in autism spectrum brains, exploring structural anomalies.
8. Exploring Brain Hemodynamic Response Patterns via Deep Recurrent Autoencoder
- Application of a deep recurrent autoencoder to explore brain hemodynamic response patterns, with implications for understanding brain activity.
9. 3D Convolutional Long-Short Term Memory Network for Spatiotemporal Modeling of fMRI Data
- Utilization of 3D convolutional LSTM networks for modeling spatiotemporal fMRI data, capturing dynamic brain activity over time.
10. Biological Knowledge Guided Deep Neural Network for Brain Genotype-Phenotype Association Study
- A deep neural network guided by biological knowledge to explore the association between brain genotype and phenotype.
11. Learning Human Cognition via fMRI Analysis Using 3D CNN and Graph Neural Network
- fMRI analysis combined with 3D CNNs and graph neural networks to model and understand human cognition.
12. CU-Net: Cascaded U-Net with Loss Weighted Sampling for Brain Tumor Segmentation
- Introduction of CU-Net, a cascaded U-Net architecture for brain tumor segmentation with a focus on loss weighted sampling.
13. BrainPainter: A Software for the Visualisation of Brain Structures, Biomarkers, and Associated Pathological Processes
- BrainPainter software for visualizing brain structures, biomarkers, and understanding associated pathological processes.
14. Structural Similarity Based Anatomical and Functional Brain Imaging Fusion
- Techniques for fusing anatomical and functional brain imaging based on structural similarity measures.
15. Multimodal Brain Tumor Segmentation Using Encoder-Decoder with Hierarchical Separable Convolution
- Multimodal brain tumor segmentation using an encoder-decoder model with hierarchical separable convolution.
16. Prioritizing Amyloid Imaging Biomarkers in Alzheimer’s Disease via Learning to Rank
- Application of learning to rank for prioritizing amyloid imaging biomarkers in the study of Alzheimer’s disease.
17. MFCA (Multifactorial Classification Algorithm)
- Introduction of a multifactorial classification algorithm (MFCA) for enhanced classification tasks in brain imaging.
18. Diffeomorphic Metric Learning and Template Optimization for Registration-Based Predictive Models
- Diffeomorphic metric learning and template optimization for improving registration-based predictive models.
19. 3D Mapping of Serial Histology Sections with Anomalies Using a Novel Robust Deformable Registration Algorithm
- Development of a robust deformable registration algorithm for 3D mapping of serial histology sections, identifying anomalies.
20. Spatiotemporal Modeling for Image Time Series with Appearance Change: Application to Early Brain Development
- Spatiotemporal modeling of image time series with appearance changes, focusing on early brain development.
21. Surface Foliation Based Brain Morphometry Analysis
- A new approach to brain morphometry analysis using surface foliation techniques.
22. Mixture Probabilistic Principal Geodesic Analysis
- Application of mixture probabilistic principal geodesic analysis for understanding complex brain structure variations.
23. A Geodesic Mixed Effects Model in Kendall’s Shape Space
- Development of a geodesic mixed effects model applied in Kendall’s shape space for statistical analysis of brain shapes.
24. An As-Invariant-As-Possible-Based Statistical Shape Model
- Introduction of a statistical shape model based on the as-invariant-as-possible principle for analyzing brain shapes.
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