Medical Computer Vision and Bayesian and Graphical Models for Biomedical Imaging - Lecture Notes in Computer Science
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9783319611877, 9783319611884

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Sparse Probabilistic Parallel Factor Analysis for the Modeling of PET and Task-fMRI Data

Medical Computer Vision and Bayesian and Graphical Models for Biomedical Imaging - Lecture Notes in Computer Science ◽

10.1007/978-3-319-61188-4_17 ◽

2017 ◽

pp. 186-198

Author(s):

Vincent Beliveau ◽

Georgios Papoutsakis ◽

Jesper Løve Hinrich ◽

Morten Mørup

Keyword(s):

Factor Analysis ◽

Parallel Factor Analysis ◽

Fmri Data ◽

Parallel Factor ◽

And Task

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Constructing Subject- and Disease-Specific Effect Maps: Application to Neurodegenerative Diseases

Medical Computer Vision and Bayesian and Graphical Models for Biomedical Imaging - Lecture Notes in Computer Science ◽

10.1007/978-3-319-61188-4_1 ◽

2017 ◽

pp. 3-13

Author(s):

Ender Konukoglu ◽

Ben Glocker

Keyword(s):

Neurodegenerative Diseases ◽

Specific Effect ◽

Disease Specific

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Lung Nodule Classification by Jointly Using Visual Descriptors and Deep Features

Medical Computer Vision and Bayesian and Graphical Models for Biomedical Imaging - Lecture Notes in Computer Science ◽

10.1007/978-3-319-61188-4_11 ◽

2017 ◽

pp. 116-125 ◽

Cited By ~ 9

Author(s):

Yutong Xie ◽

Jianpeng Zhang ◽

Sidong Liu ◽

Weidong Cai ◽

Yong Xia

Keyword(s):

Lung Nodule ◽

Visual Descriptors ◽

Nodule Classification

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BigBrain: Automated Cortical Parcellation and Comparison with Existing Brain Atlases

Medical Computer Vision and Bayesian and Graphical Models for Biomedical Imaging - Lecture Notes in Computer Science ◽

10.1007/978-3-319-61188-4_2 ◽

2017 ◽

pp. 14-25

Author(s):

Marc Fournier ◽

Lindsay B. Lewis ◽

Alan C. Evans

Keyword(s):

Cortical Parcellation ◽

Brain Atlases

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Inferring Disease Status by Non-parametric Probabilistic Embedding

Medical Computer Vision and Bayesian and Graphical Models for Biomedical Imaging - Lecture Notes in Computer Science ◽

10.1007/978-3-319-61188-4_5 ◽

2017 ◽

pp. 49-57

Author(s):

Nematollah Kayhan Batmanghelich ◽

Ardavan Saeedi ◽

Raul San Jose Estepar ◽

Michael Cho ◽

William M. Wells

Keyword(s):

Disease Status ◽

Non Parametric

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Guideline-Based Machine Learning for Standard Plane Extraction in 3D Cardiac Ultrasound

Medical Computer Vision and Bayesian and Graphical Models for Biomedical Imaging - Lecture Notes in Computer Science ◽

10.1007/978-3-319-61188-4_13 ◽

2017 ◽

pp. 137-147 ◽

Cited By ~ 2

Author(s):

Peifei Zhu ◽

Zisheng Li

Keyword(s):

Machine Learning ◽

Cardiac Ultrasound ◽

Plane Extraction

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Representation Learning for Cross-Modality Classification

Medical Computer Vision and Bayesian and Graphical Models for Biomedical Imaging - Lecture Notes in Computer Science ◽

10.1007/978-3-319-61188-4_12 ◽

2017 ◽

pp. 126-136 ◽

Cited By ~ 2

Author(s):

Gijs van Tulder ◽

Marleen de Bruijne

Keyword(s):

Representation Learning

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Automatic Detection of Histological Artifacts in Mouse Brain Slice Images

Medical Computer Vision and Bayesian and Graphical Models for Biomedical Imaging - Lecture Notes in Computer Science ◽

10.1007/978-3-319-61188-4_10 ◽

2017 ◽

pp. 105-115 ◽

Cited By ~ 1

Author(s):

Nitin Agarwal ◽

Xiangmin Xu ◽

M. Gopi

Keyword(s):

Mouse Brain ◽

Brain Slice ◽

Automatic Detection

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A Lung Graph–Model for Pulmonary Hypertension and Pulmonary Embolism Detection on DECT Images

Medical Computer Vision and Bayesian and Graphical Models for Biomedical Imaging - Lecture Notes in Computer Science ◽

10.1007/978-3-319-61188-4_6 ◽

2017 ◽

pp. 58-68 ◽

Cited By ~ 3

Author(s):

Yashin Dicente Cid ◽

Henning Müller ◽

Alexandra Platon ◽

Jean–Paul Janssens ◽

Frédéric Lador ◽

...

Keyword(s):

Pulmonary Embolism ◽

Pulmonary Hypertension ◽

Graph Model

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Bayesian Multiview Manifold Learning Applied to Hippocampus Shape and Clinical Score Data

Medical Computer Vision and Bayesian and Graphical Models for Biomedical Imaging - Lecture Notes in Computer Science ◽

10.1007/978-3-319-61188-4_15 ◽

2017 ◽

pp. 160-171

Author(s):

Giorgos Sfikas ◽

Christophoros Nikou

Keyword(s):

Manifold Learning ◽

Clinical Score

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Medical Computer Vision and Bayesian and Graphical Models for Biomedical Imaging - Lecture Notes in Computer ScienceLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

Sparse Probabilistic Parallel Factor Analysis for the Modeling of PET and Task-fMRI Data

Constructing Subject- and Disease-Specific Effect Maps: Application to Neurodegenerative Diseases

Lung Nodule Classification by Jointly Using Visual Descriptors and Deep Features

BigBrain: Automated Cortical Parcellation and Comparison with Existing Brain Atlases

Inferring Disease Status by Non-parametric Probabilistic Embedding

Guideline-Based Machine Learning for Standard Plane Extraction in 3D Cardiac Ultrasound

Representation Learning for Cross-Modality Classification

Automatic Detection of Histological Artifacts in Mouse Brain Slice Images

A Lung Graph–Model for Pulmonary Hypertension and Pulmonary Embolism Detection on DECT Images

Bayesian Multiview Manifold Learning Applied to Hippocampus Shape and Clinical Score Data

Medical Computer Vision and Bayesian and Graphical Models for Biomedical Imaging - Lecture Notes in Computer Science
Latest Publications