Machine Learning in Medical Imaging - Lecture Notes in Computer Science

2011 ◽

pp. 300-307 ◽

Cited By ~ 1

Author(s):

Lichao Wang ◽

Su-Lin Lee ◽

Robert Merrifield ◽

Guang-Zhong Yang

Keyword(s):

Reinforcement Learning ◽

Cardiac Segmentation ◽

Subject Specific

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Automatic Segmentation of Vertebrae from Radiographs: A Sample-Driven Active Shape Model Approach

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

10.1007/978-3-642-24319-6_2 ◽

2011 ◽

pp. 10-17 ◽

Cited By ~ 2

Author(s):

Peter Mysling ◽

Kersten Petersen ◽

Mads Nielsen ◽

Martin Lillholm

Keyword(s):

Automatic Segmentation ◽

Active Shape Model ◽

Shape Model ◽

Active Shape ◽

Model Approach

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Monte Carlo Expectation Maximization with Hidden Markov Models to Detect Functional Networks in Resting-State fMRI

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

10.1007/978-3-642-24319-6_8 ◽

2011 ◽

pp. 59-66 ◽

Cited By ~ 2

Author(s):

Wei Liu ◽

Suyash P. Awate ◽

Jeffrey S. Anderson ◽

Deborah Yurgelun-Todd ◽

P. Thomas Fletcher

Keyword(s):

Monte Carlo ◽

Hidden Markov Models ◽

Expectation Maximization ◽

Resting State ◽

Markov Models ◽

Hidden Markov ◽

Resting State Fmri ◽

Functional Networks ◽

Monte Carlo Expectation Maximization

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Multi-Kernel Classification for Integration of Clinical and Imaging Data: Application to Prediction of Cognitive Decline in Older Adults

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

10.1007/978-3-642-24319-6_4 ◽

2011 ◽

pp. 26-34 ◽

Cited By ~ 3

Author(s):

Roman Filipovych ◽

Susan M. Resnick ◽

Christos Davatzikos

Keyword(s):

Older Adults ◽

Cognitive Decline ◽

Imaging Data ◽

Data Application ◽

Kernel Classification

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Random Forest-Based Manifold Learning for Classification of Imaging Data in Dementia

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

10.1007/978-3-642-24319-6_20 ◽

2011 ◽

pp. 159-166 ◽

Cited By ~ 12

Author(s):

Katherine R. Gray ◽

Paul Aljabar ◽

Rolf A. Heckemann ◽

Alexander Hammers ◽

Daniel Rueckert

Keyword(s):

Random Forest ◽

Manifold Learning ◽

Imaging Data

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Hot Spots Conjecture and Its Application to Modeling Tubular Structures

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

10.1007/978-3-642-24319-6_28 ◽

2011 ◽

pp. 225-232 ◽

Cited By ~ 5

Author(s):

Moo K. Chung ◽

Seongho Seo ◽

Nagesh Adluru ◽

Houri K. Vorperian

Keyword(s):

Hot Spots ◽

Tubular Structures ◽

Hot Spots Conjecture

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A Machine Learning Approach to Tongue Motion Analysis in 2D Ultrasound Image Sequences

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

10.1007/978-3-642-24319-6_19 ◽

2011 ◽

pp. 151-158 ◽

Cited By ~ 1

Author(s):

Lisa Tang ◽

Ghassan Hamarneh ◽

Tim Bressmann

Keyword(s):

Machine Learning ◽

Motion Analysis ◽

Ultrasound Image ◽

Image Sequences ◽

Learning Approach ◽

Machine Learning Approach ◽

2D Ultrasound ◽

Tongue Motion

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Improving the Classification Accuracy of the Classic RF Method by Intelligent Feature Selection and Weighted Voting of Trees with Application to Medical Image Segmentation

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

10.1007/978-3-642-24319-6_23 ◽

2011 ◽

pp. 184-192 ◽

Cited By ~ 15

Author(s):

Mohammad Yaqub ◽

M. Kassim Javaid ◽

Cyrus Cooper ◽

J. Alison Noble

Keyword(s):

Feature Selection ◽

Image Segmentation ◽

Classification Accuracy ◽

Medical Image ◽

Medical Image Segmentation ◽

Weighted Voting

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Fuzzy Statistical Unsupervised Learning Based Total Lesion Metabolic Activity Estimation in Positron Emission Tomography Images

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

10.1007/978-3-642-24319-6_29 ◽

2011 ◽

pp. 233-240 ◽

Cited By ~ 4

Author(s):

Jose George ◽

Kathleen Vunckx ◽

Sabine Tejpar ◽

Christophe M. Deroose ◽

Johan Nuyts ◽

...

Keyword(s):

Positron Emission Tomography ◽

Unsupervised Learning ◽

Metabolic Activity ◽

Emission Tomography ◽

Positron Emission ◽

Activity Estimation

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Computer-Aided Detection of Polyps in CT Colonography with Pixel-Based Machine Learning Techniques

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

10.1007/978-3-642-24319-6_44 ◽

2011 ◽

pp. 360-367

Author(s):

Jian-Wu Xu ◽

Kenji Suzuki

Keyword(s):

Machine Learning ◽

Ct Colonography ◽

Machine Learning Techniques ◽

Computer Aided Detection ◽

Learning Techniques ◽

Computer Aided

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

TOTAL DOCUMENTS

H-INDEX

Published By Springer Berlin Heidelberg

Subject-Specific Cardiac Segmentation Based on Reinforcement Learning with Shape Instantiation

Automatic Segmentation of Vertebrae from Radiographs: A Sample-Driven Active Shape Model Approach

Monte Carlo Expectation Maximization with Hidden Markov Models to Detect Functional Networks in Resting-State fMRI

Multi-Kernel Classification for Integration of Clinical and Imaging Data: Application to Prediction of Cognitive Decline in Older Adults

Random Forest-Based Manifold Learning for Classification of Imaging Data in Dementia

Hot Spots Conjecture and Its Application to Modeling Tubular Structures

A Machine Learning Approach to Tongue Motion Analysis in 2D Ultrasound Image Sequences

Improving the Classification Accuracy of the Classic RF Method by Intelligent Feature Selection and Weighted Voting of Trees with Application to Medical Image Segmentation

Fuzzy Statistical Unsupervised Learning Based Total Lesion Metabolic Activity Estimation in Positron Emission Tomography Images

Computer-Aided Detection of Polyps in CT Colonography with Pixel-Based Machine Learning Techniques

Export Citation Format

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

TOTAL DOCUMENTS

H-INDEX

Published By Springer Berlin Heidelberg

Subject-Specific Cardiac Segmentation Based on Reinforcement Learning with Shape Instantiation

Automatic Segmentation of Vertebrae from Radiographs: A Sample-Driven Active Shape Model Approach

Monte Carlo Expectation Maximization with Hidden Markov Models to Detect Functional Networks in Resting-State fMRI

Multi-Kernel Classification for Integration of Clinical and Imaging Data: Application to Prediction of Cognitive Decline in Older Adults

Random Forest-Based Manifold Learning for Classification of Imaging Data in Dementia

Hot Spots Conjecture and Its Application to Modeling Tubular Structures

A Machine Learning Approach to Tongue Motion Analysis in 2D Ultrasound Image Sequences

Improving the Classification Accuracy of the Classic RF Method by Intelligent Feature Selection and Weighted Voting of Trees with Application to Medical Image Segmentation

Fuzzy Statistical Unsupervised Learning Based Total Lesion Metabolic Activity Estimation in Positron Emission Tomography Images

Computer-Aided Detection of Polyps in CT Colonography with Pixel-Based Machine Learning Techniques

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