Multimodal Brain Image Analysis and Mathematical Foundations of Computational Anatomy - Lecture Notes in Computer Science
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(FIVE YEARS 23)

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Published By Springer International Publishing

9783030332259, 9783030332266

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Species-Preserved Structural Connections Revealed by Sparse Tensor CCA

Multimodal Brain Image Analysis and Mathematical Foundations of Computational Anatomy - Lecture Notes in Computer Science ◽

10.1007/978-3-030-33226-6_6 ◽

2019 ◽

pp. 49-56

Author(s):

Zhibin He ◽

Ying Huang ◽

Tianming Liu ◽

Lei Guo ◽

Lei Du ◽

...

Keyword(s):

Structural Connections

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A Geodesic Mixed Effects Model in Kendall’s Shape Space

Multimodal Brain Image Analysis and Mathematical Foundations of Computational Anatomy - Lecture Notes in Computer Science ◽

10.1007/978-3-030-33226-6_22 ◽

2019 ◽

pp. 209-218

Author(s):

Esfandiar Nava-Yazdani ◽

Hans-Christian Hege ◽

Christoph von Tycowicz

Keyword(s):

Shape Space ◽

Mixed Effects ◽

Mixed Effects Model

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3D Convolutional Long-Short Term Memory Network for Spatiotemporal Modeling of fMRI Data

Multimodal Brain Image Analysis and Mathematical Foundations of Computational Anatomy - Lecture Notes in Computer Science ◽

10.1007/978-3-030-33226-6_9 ◽

2019 ◽

pp. 75-83

Author(s):

Wei Suo ◽

Xintao Hu ◽

Bowei Yan ◽

Mengyang Sun ◽

Lei Guo ◽

...

Keyword(s):

Short Term Memory ◽

Fmri Data ◽

Spatiotemporal Modeling ◽

Short Term ◽

Term Memory ◽

Memory Network ◽

Long Short Term Memory

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An As-Invariant-As-Possible $$\text {GL}^+(3){}$$ -Based Statistical Shape Model

Multimodal Brain Image Analysis and Mathematical Foundations of Computational Anatomy - Lecture Notes in Computer Science ◽

10.1007/978-3-030-33226-6_23 ◽

2019 ◽

pp. 219-228

Author(s):

Felix Ambellan ◽

Stefan Zachow ◽

Christoph von Tycowicz

Keyword(s):

Statistical Shape Model ◽

Shape Model ◽

Statistical Shape

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Biological Knowledge Guided Deep Neural Network for Brain Genotype-Phenotype Association Study

Multimodal Brain Image Analysis and Mathematical Foundations of Computational Anatomy - Lecture Notes in Computer Science ◽

10.1007/978-3-030-33226-6_10 ◽

2019 ◽

pp. 84-92 ◽

Cited By ~ 1

Author(s):

Yanfu Zhang ◽

Liang Zhan ◽

Paul M. Thompson ◽

Heng Huang

Keyword(s):

Neural Network ◽

Association Study ◽

Deep Neural Network ◽

Biological Knowledge

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Non-rigid Registration of White Matter Tractography Using Coherent Point Drift Algorithm

Multimodal Brain Image Analysis and Mathematical Foundations of Computational Anatomy - Lecture Notes in Computer Science ◽

10.1007/978-3-030-33226-6_1 ◽

2019 ◽

pp. 3-11

Author(s):

Wenjuan Wang ◽

Jin Liu ◽

Tengfei Wang ◽

Zongtao Hu ◽

Li Xia ◽

...

Keyword(s):

White Matter ◽

Rigid Registration ◽

Coherent Point Drift ◽

White Matter Tractography

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BrainPainter: A Software for the Visualisation of Brain Structures, Biomarkers and Associated Pathological Processes

Multimodal Brain Image Analysis and Mathematical Foundations of Computational Anatomy - Lecture Notes in Computer Science ◽

10.1007/978-3-030-33226-6_13 ◽

2019 ◽

pp. 112-120 ◽

Cited By ~ 1

Author(s):

Răzvan V. Marinescu ◽

Arman Eshaghi ◽

Daniel C. Alexander ◽

Polina Golland

Keyword(s):

Brain Structures

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CU-Net: Cascaded U-Net with Loss Weighted Sampling for Brain Tumor Segmentation

Multimodal Brain Image Analysis and Mathematical Foundations of Computational Anatomy - Lecture Notes in Computer Science ◽

10.1007/978-3-030-33226-6_12 ◽

2019 ◽

pp. 102-111 ◽

Cited By ~ 3

Author(s):

Hongying Liu ◽

Xiongjie Shen ◽

Fanhua Shang ◽

Feihang Ge ◽

Fei Wang

Keyword(s):

Brain Tumor ◽

Tumor Segmentation ◽

Brain Tumor Segmentation

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Mixture Probabilistic Principal Geodesic Analysis

Multimodal Brain Image Analysis and Mathematical Foundations of Computational Anatomy - Lecture Notes in Computer Science ◽

10.1007/978-3-030-33226-6_21 ◽

2019 ◽

pp. 196-208

Author(s):

Youshan Zhang ◽

Jiarui Xing ◽

Miaomiao Zhang

Keyword(s):

Principal Geodesic Analysis

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Exploring Brain Hemodynamic Response Patterns via Deep Recurrent Autoencoder

Multimodal Brain Image Analysis and Mathematical Foundations of Computational Anatomy - Lecture Notes in Computer Science ◽

10.1007/978-3-030-33226-6_8 ◽

2019 ◽

pp. 66-74

Author(s):

Shijie Zhao ◽

Yan Cui ◽

Yaowu Chen ◽

Xin Zhang ◽

Wei Zhang ◽

...

Keyword(s):

Hemodynamic Response ◽

Response Patterns

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Multimodal Brain Image Analysis and Mathematical Foundations of Computational Anatomy - Lecture Notes in Computer ScienceLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

Species-Preserved Structural Connections Revealed by Sparse Tensor CCA

A Geodesic Mixed Effects Model in Kendall’s Shape Space

3D Convolutional Long-Short Term Memory Network for Spatiotemporal Modeling of fMRI Data

An As-Invariant-As-Possible $$\text {GL}^+(3){}$$ -Based Statistical Shape Model

Biological Knowledge Guided Deep Neural Network for Brain Genotype-Phenotype Association Study

Non-rigid Registration of White Matter Tractography Using Coherent Point Drift Algorithm

BrainPainter: A Software for the Visualisation of Brain Structures, Biomarkers and Associated Pathological Processes

CU-Net: Cascaded U-Net with Loss Weighted Sampling for Brain Tumor Segmentation

Mixture Probabilistic Principal Geodesic Analysis

Exploring Brain Hemodynamic Response Patterns via Deep Recurrent Autoencoder

Multimodal Brain Image Analysis and Mathematical Foundations of Computational Anatomy - Lecture Notes in Computer Science
Latest Publications