Multimodal Brain Image Analysis and Mathematical Foundations of Computational Anatomy 1st edition by Dajiang Zhu, Jingwen Yan, Heng Huang, Li Shen, Paul Thompson, Carl Fredrik Westin, Xavier Pennec, Sarang Joshi, Mads Nielsen, Tom Fletcher, Stanley Durrleman, Stefan Sommer ISBN 3030332268 9783030332266

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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