Machine Learning in Medical Imaging - Lecture Notes in Computer Science
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Published By Springer Berlin Heidelberg

9783642159473, 9783642159480

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Fast and Automatic Heart Isolation in 3D CT Volumes: Optimal Shape Initialization

Machine Learning in Medical Imaging - Lecture Notes in Computer Science ◽

10.1007/978-3-642-15948-0_11 ◽

2010 ◽

pp. 84-91 ◽

Cited By ~ 12

Author(s):

Yefeng Zheng ◽

Fernando Vega-Higuera ◽

Shaohua Kevin Zhou ◽

Dorin Comaniciu

Keyword(s):

Optimal Shape ◽

3D Ct

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Feature Extraction for fMRI-Based Human Brain Activity Recognition

Machine Learning in Medical Imaging - Lecture Notes in Computer Science ◽

10.1007/978-3-642-15948-0_19 ◽

2010 ◽

pp. 148-156

Author(s):

Wei Bian ◽

Jun Li ◽

Dacheng Tao

Keyword(s):

Feature Extraction ◽

Human Brain ◽

Activity Recognition ◽

Brain Activity

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Content-Based Medical Image Retrieval with Metric Learning via Rank Correlation

Machine Learning in Medical Imaging - Lecture Notes in Computer Science ◽

10.1007/978-3-642-15948-0_3 ◽

2010 ◽

pp. 18-25 ◽

Cited By ~ 2

Author(s):

Wei Huang ◽

Kap Luk Chan ◽

Huiqi Li ◽

Joo Hwee Lim ◽

Jiang Liu ◽

...

Keyword(s):

Image Retrieval ◽

Medical Image ◽

Metric Learning ◽

Rank Correlation ◽

Medical Image Retrieval

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A Bayesian Learning Application to Automated Tumour Segmentation for Tissue Microarray Analysis

Machine Learning in Medical Imaging - Lecture Notes in Computer Science ◽

10.1007/978-3-642-15948-0_13 ◽

2010 ◽

pp. 100-107

Author(s):

Ching-Wei Wang

Keyword(s):

Tissue Microarray ◽

Microarray Analysis ◽

Bayesian Learning ◽

Tumour Segmentation ◽

Tissue Microarray Analysis

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Appearance Normalization of Histology Slides

Machine Learning in Medical Imaging - Lecture Notes in Computer Science ◽

10.1007/978-3-642-15948-0_8 ◽

2010 ◽

pp. 58-66 ◽

Cited By ~ 27

Author(s):

Marc Niethammer ◽

David Borland ◽

J. S. Marron ◽

John Woosley ◽

Nancy E. Thomas

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Manifold Learning for Biomarker Discovery in MR Imaging

Machine Learning in Medical Imaging - Lecture Notes in Computer Science ◽

10.1007/978-3-642-15948-0_15 ◽

2010 ◽

pp. 116-123 ◽

Cited By ~ 12

Author(s):

Robin Wolz ◽

Paul Aljabar ◽

Joseph V. Hajnal ◽

Daniel Rueckert

Keyword(s):

Mr Imaging ◽

Manifold Learning ◽

Biomarker Discovery

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Automated Intervertebral Disc Detection from Low Resolution, Sparse MRI Images for the Planning of Scan Geometries

Machine Learning in Medical Imaging - Lecture Notes in Computer Science ◽

10.1007/978-3-642-15948-0_2 ◽

2010 ◽

pp. 10-17 ◽

Cited By ~ 6

Author(s):

Xiao Dong ◽

Huanxiang Lu ◽

Yasuo Sakurai ◽

Hitoshi Yamagata ◽

Guoyan Zheng ◽

...

Keyword(s):

Intervertebral Disc ◽

Low Resolution

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Multi-Class Sparse Bayesian Regression for Neuroimaging Data Analysis

Machine Learning in Medical Imaging - Lecture Notes in Computer Science ◽

10.1007/978-3-642-15948-0_7 ◽

2010 ◽

pp. 50-57 ◽

Cited By ~ 3

Author(s):

Vincent Michel ◽

Evelyn Eger ◽

Christine Keribin ◽

Bertrand Thirion

Keyword(s):

Data Analysis ◽

Bayesian Regression ◽

Neuroimaging Data

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A Hyper-parameter Inference for Radon Transformed Image Reconstruction Using Bayesian Inference

Machine Learning in Medical Imaging - Lecture Notes in Computer Science ◽

10.1007/978-3-642-15948-0_4 ◽

2010 ◽

pp. 26-33 ◽

Cited By ~ 1

Author(s):

Hayaru Shouno ◽

Masato Okada

Keyword(s):

Bayesian Inference ◽

Image Reconstruction ◽

Parameter Inference

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Generalized Sparse Classifiers for Decoding Cognitive States in fMRI

Machine Learning in Medical Imaging - Lecture Notes in Computer Science ◽

10.1007/978-3-642-15948-0_14 ◽

2010 ◽

pp. 108-115 ◽

Cited By ~ 25

Author(s):

Bernard Ng ◽

Arash Vahdat ◽

Ghassan Hamarneh ◽

Rafeef Abugharbieh

Keyword(s):

Cognitive States

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Machine Learning in Medical Imaging - Lecture Notes in Computer ScienceLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer Berlin Heidelberg

Fast and Automatic Heart Isolation in 3D CT Volumes: Optimal Shape Initialization

Feature Extraction for fMRI-Based Human Brain Activity Recognition

Content-Based Medical Image Retrieval with Metric Learning via Rank Correlation

A Bayesian Learning Application to Automated Tumour Segmentation for Tissue Microarray Analysis

Appearance Normalization of Histology Slides

Manifold Learning for Biomarker Discovery in MR Imaging

Automated Intervertebral Disc Detection from Low Resolution, Sparse MRI Images for the Planning of Scan Geometries

Multi-Class Sparse Bayesian Regression for Neuroimaging Data Analysis

A Hyper-parameter Inference for Radon Transformed Image Reconstruction Using Bayesian Inference

Generalized Sparse Classifiers for Decoding Cognitive States in fMRI

Machine Learning in Medical Imaging - Lecture Notes in Computer Science
Latest Publications