Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 - Lecture Notes in Computer Science
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(FIVE YEARS 78)

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(FIVE YEARS 1)

Published By Springer International Publishing

9783030597276, 9783030597283

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

A Deep Spatial Context Guided Framework for Infant Brain Subcortical Segmentation

Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 - Lecture Notes in Computer Science ◽

10.1007/978-3-030-59728-3_63 ◽

2020 ◽

pp. 646-656

Author(s):

Liangjun Chen ◽

◽

Zhengwang Wu ◽

Dan Hu ◽

Ya Wang ◽

...

Keyword(s):

Spatial Context ◽

Infant Brain

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Persistent Feature Analysis of Multimodal Brain Networks Using Generalized Fused Lasso for EMCI Identification

Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 - Lecture Notes in Computer Science ◽

10.1007/978-3-030-59728-3_5 ◽

2020 ◽

pp. 44-52

Author(s):

Jin Li ◽

Chenyuan Bian ◽

Dandan Chen ◽

Xianglian Meng ◽

Haoran Luo ◽

...

Keyword(s):

Brain Networks ◽

Feature Analysis ◽

Fused Lasso

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Estimating Tissue Microstructure with Undersampled Diffusion Data via Graph Convolutional Neural Networks

Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 - Lecture Notes in Computer Science ◽

10.1007/978-3-030-59728-3_28 ◽

2020 ◽

pp. 280-290

Author(s):

Geng Chen ◽

◽

Yoonmi Hong ◽

Yongqin Zhang ◽

Jaeil Kim ◽

...

Keyword(s):

Neural Networks ◽

Convolutional Neural Networks ◽

Tissue Microstructure ◽

Diffusion Data

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Hierarchical Bayesian Regression for Multi-site Normative Modeling of Neuroimaging Data

Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 - Lecture Notes in Computer Science ◽

10.1007/978-3-030-59728-3_68 ◽

2020 ◽

pp. 699-709

Author(s):

Seyed Mostafa Kia ◽

Hester Huijsdens ◽

Richard Dinga ◽

Thomas Wolfers ◽

Maarten Mennes ◽

...

Keyword(s):

Bayesian Regression ◽

Hierarchical Bayesian ◽

Neuroimaging Data

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A Deep-Generative Hybrid Model to Integrate Multimodal and Dynamic Connectivity for Predicting Spectrum-Level Deficits in Autism

Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 - Lecture Notes in Computer Science ◽

10.1007/978-3-030-59728-3_43 ◽

2020 ◽

pp. 437-447

Author(s):

Niharika Shimona D’Souza ◽

Mary Beth Nebel ◽

Deana Crocetti ◽

Nicholas Wymbs ◽

Joshua Robinson ◽

...

Keyword(s):

Hybrid Model ◽

Spectrum Level ◽

Dynamic Connectivity

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Discovering Functional Brain Networks with 3D Residual Autoencoder (ResAE)

Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 - Lecture Notes in Computer Science ◽

10.1007/978-3-030-59728-3_49 ◽

2020 ◽

pp. 498-507

Author(s):

Qinglin Dong ◽

Ning Qiang ◽

Jinglei Lv ◽

Xiang Li ◽

Tianming Liu ◽

...

Keyword(s):

Brain Networks ◽

Functional Brain ◽

Functional Brain Networks

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Parkinson’s Disease Detection from fMRI-Derived Brainstem Regional Functional Connectivity Networks

Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 - Lecture Notes in Computer Science ◽

10.1007/978-3-030-59728-3_4 ◽

2020 ◽

pp. 33-43

Author(s):

Nandinee Fariah Haq ◽

Jiayue Cai ◽

Tianze Yu ◽

Martin J. McKeown ◽

Z. Jane Wang

Keyword(s):

Parkinson’S Disease ◽

Parkinson's Disease ◽

Functional Connectivity ◽

Disease Detection

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Spatial Semantic-Preserving Latent Space Learning for Accelerated DWI Diagnostic Report Generation

Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 - Lecture Notes in Computer Science ◽

10.1007/978-3-030-59728-3_33 ◽

2020 ◽

pp. 333-342

Author(s):

Aydan Gasimova ◽

Gavin Seegoolam ◽

Liang Chen ◽

Paul Bentley ◽

Daniel Rueckert

Keyword(s):

Report Generation ◽

Latent Space ◽

Diagnostic Report

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White Matter Tract Segmentation with Self-supervised Learning

Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 - Lecture Notes in Computer Science ◽

10.1007/978-3-030-59728-3_27 ◽

2020 ◽

pp. 270-279

Author(s):

Qi Lu ◽

Yuxing Li ◽

Chuyang Ye

Keyword(s):

White Matter ◽

Supervised Learning ◽

White Matter Tract

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Partial Volume Segmentation of Brain MRI Scans of Any Resolution and Contrast

Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 - Lecture Notes in Computer Science ◽

10.1007/978-3-030-59728-3_18 ◽

2020 ◽

pp. 177-187

Author(s):

Benjamin Billot ◽

Eleanor Robinson ◽

Adrian V. Dalca ◽

Juan Eugenio Iglesias

Keyword(s):

Brain Mri ◽

Volume Segmentation ◽

Partial Volume ◽

Mri Scans

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Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 - Lecture Notes in Computer ScienceLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

A Deep Spatial Context Guided Framework for Infant Brain Subcortical Segmentation

Persistent Feature Analysis of Multimodal Brain Networks Using Generalized Fused Lasso for EMCI Identification

Estimating Tissue Microstructure with Undersampled Diffusion Data via Graph Convolutional Neural Networks

Hierarchical Bayesian Regression for Multi-site Normative Modeling of Neuroimaging Data

A Deep-Generative Hybrid Model to Integrate Multimodal and Dynamic Connectivity for Predicting Spectrum-Level Deficits in Autism

Discovering Functional Brain Networks with 3D Residual Autoencoder (ResAE)

Parkinson’s Disease Detection from fMRI-Derived Brainstem Regional Functional Connectivity Networks

Spatial Semantic-Preserving Latent Space Learning for Accelerated DWI Diagnostic Report Generation

White Matter Tract Segmentation with Self-supervised Learning

Partial Volume Segmentation of Brain MRI Scans of Any Resolution and Contrast

Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 - Lecture Notes in Computer Science
Latest Publications