Multimodal Brain Image Analysis and Mathematical Foundations of Computational Anatomy Multimodal Brain Image Analysis and Mathematical Foundations of Computational Anatomy

Multimodal Brain Image Analysis and Mathematical Foundations of Computational Anatomy

4th International Workshop, MBIA 2019, and 7th International Workshop, MFCA 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Proceedings

Dajiang Zhu والمزيد
    • ‏39٫99 US$
    • ‏39٫99 US$

وصف الناشر

This book constitutes the refereed joint proceedings of the 4th International Workshop on Multimodal Brain Image Analysis, MBAI 2019, and the 7th International Workshop on Mathematical Foundations of Computational Anatomy, MFCA 2019, held in conjunction with the 22nd International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2019, in Shenzhen, China, in October 2019.

The 16 full papers presented at MBAI 2019 and the 7 full papers presented at MFCA 2019 were carefully reviewed and selected.

The MBAI papers intend to move forward the state of the art in multimodal brain image analysis, in terms of analysis methodologies, algorithms, software systems, validation approaches, benchmark datasets, neuroscience, and clinical applications.

The MFCA papers are devoted to statistical and geometrical methods for modeling the variability of biological shapes. The goal is to foster the interactions between the mathematical community around shapes and the MICCAI community around computational anatomy applications.

النوع
كمبيوتر وإنترنت
تاريخ النشر
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١٠ أكتوبر
اللغة
EN
الإنجليزية
عدد الصفحات
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الناشر
Springer International Publishing
البائع
Springer Nature B.V.
الحجم
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‫م.ب.‬
Machine Learning in Clinical Neuroimaging Machine Learning in Clinical Neuroimaging
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Computational Diffusion MRI Computational Diffusion MRI
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Connectomics in NeuroImaging Connectomics in NeuroImaging
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Machine Learning in Clinical Neuroimaging Machine Learning in Clinical Neuroimaging
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Machine Learning and Interpretation in Neuroimaging Machine Learning and Interpretation in Neuroimaging
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Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro-oncology Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro-oncology
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Deep Generative Models Deep Generative Models
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Deep Generative Models Deep Generative Models
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Deep Generative Models, and Data Augmentation, Labelling, and Imperfections Deep Generative Models, and Data Augmentation, Labelling, and Imperfections
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