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

TOTAL DOCUMENTS

(FIVE YEARS 0)

H-INDEX

(FIVE YEARS 0)

Published By Springer International Publishing

9783030597276, 9783030597283

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

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

Download Full-text

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

Download Full-text

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

Download Full-text

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

Download Full-text

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

Download Full-text

Edge-Variational Graph Convolutional Networks for Uncertainty-Aware Disease Prediction

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

10.1007/978-3-030-59728-3_55 ◽

2020 ◽

pp. 562-572

Author(s):

Yongxiang Huang ◽

Albert C. S. Chung

Keyword(s):

Disease Prediction ◽

Convolutional Networks

Download Full-text

Multi-modality Information Fusion for Radiomics-Based Neural Architecture Search

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

10.1007/978-3-030-59728-3_74 ◽

2020 ◽

pp. 763-771

Author(s):

Yige Peng ◽

Lei Bi ◽

Michael Fulham ◽

Dagan Feng ◽

Jinman Kim

Keyword(s):

Information Fusion ◽

Neural Architecture

Download Full-text

Tractogram Filtering of Anatomically Non-plausible Fibers with Geometric Deep Learning

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

10.1007/978-3-030-59728-3_29 ◽

2020 ◽

pp. 291-301

Author(s):

Pietro Astolfi ◽

Ruben Verhagen ◽

Laurent Petit ◽

Emanuele Olivetti ◽

Jonathan Masci ◽

...

Keyword(s):

Deep Learning

Download Full-text

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

Download Full-text

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

Download Full-text

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

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

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

Edge-Variational Graph Convolutional Networks for Uncertainty-Aware Disease Prediction

Multi-modality Information Fusion for Radiomics-Based Neural Architecture Search

Tractogram Filtering of Anatomically Non-plausible Fibers with Geometric Deep Learning

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

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