Medical Image Computing and Computer-Assisted Intervention – MICCAI 2016 - Lecture Notes in Computer Science
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Published By Springer International Publishing

9783319467221, 9783319467238

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Feature Selection Based on Iterative Canonical Correlation Analysis for Automatic Diagnosis of Parkinson’s Disease

Medical Image Computing and Computer-Assisted Intervention – MICCAI 2016 - Lecture Notes in Computer Science ◽

10.1007/978-3-319-46723-8_1 ◽

2016 ◽

pp. 1-8 ◽

Cited By ~ 1

Author(s):

Luyan Liu ◽

Qian Wang ◽

Ehsan Adeli ◽

Lichi Zhang ◽

Han Zhang ◽

...

Keyword(s):

Parkinson’S Disease ◽

Parkinson's Disease ◽

Feature Selection ◽

Correlation Analysis ◽

Canonical Correlation Analysis ◽

Canonical Correlation ◽

Automatic Diagnosis

Outcome Prediction for Patient with High-Grade Gliomas from Brain Functional and Structural Networks

Medical Image Computing and Computer-Assisted Intervention – MICCAI 2016 - Lecture Notes in Computer Science ◽

10.1007/978-3-319-46723-8_4 ◽

2016 ◽

pp. 26-34 ◽

Cited By ~ 16

Author(s):

Luyan Liu ◽

Han Zhang ◽

Islem Rekik ◽

Xiaobo Chen ◽

Qian Wang ◽

...

Keyword(s):

Outcome Prediction ◽

High Grade ◽

High Grade Gliomas ◽

Structural Networks

Identifying Relationships in Functional and Structural Connectome Data Using a Hypergraph Learning Method

Medical Image Computing and Computer-Assisted Intervention – MICCAI 2016 - Lecture Notes in Computer Science ◽

10.1007/978-3-319-46723-8_2 ◽

2016 ◽

pp. 9-17 ◽

Cited By ~ 1

Author(s):

Brent C. Munsell ◽

Guorong Wu ◽

Yue Gao ◽

Nicholas Desisto ◽

Martin Styner

Keyword(s):

Learning Method ◽

Structural Connectome ◽

Hypergraph Learning

Learning from Experts: Developing Transferable Deep Features for Patient-Level Lung Cancer Prediction

Medical Image Computing and Computer-Assisted Intervention – MICCAI 2016 - Lecture Notes in Computer Science ◽

10.1007/978-3-319-46723-8_15 ◽

2016 ◽

pp. 124-131 ◽

Cited By ~ 21

Author(s):

Wei Shen ◽

Mu Zhou ◽

Feng Yang ◽

Di Dong ◽

Caiyun Yang ◽

...

Keyword(s):

Lung Cancer ◽

Cancer Prediction ◽

Patient Level

Detection of Differentiated vs. Undifferentiated Colonies of iPS Cells Using Random Forests Modeled with the Multivariate Polya Distribution

Medical Image Computing and Computer-Assisted Intervention – MICCAI 2016 - Lecture Notes in Computer Science ◽

10.1007/978-3-319-46723-8_77 ◽

2016 ◽

pp. 667-675 ◽

Cited By ~ 2

Author(s):

Bisser Raytchev ◽

Atsuki Masuda ◽

Masatoshi Minakawa ◽

Kojiro Tanaka ◽

Takio Kurita ◽

...

Keyword(s):

Random Forests ◽

Ips Cells ◽

Polya Distribution

Automatic Quality Control for Population Imaging: A Generic Unsupervised Approach

Medical Image Computing and Computer-Assisted Intervention – MICCAI 2016 - Lecture Notes in Computer Science ◽

10.1007/978-3-319-46723-8_34 ◽

2016 ◽

pp. 291-299 ◽

Cited By ~ 2

Author(s):

Mohsen Farzi ◽

Jose M. Pozo ◽

Eugene V. McCloskey ◽

J. Mark Wilkinson ◽

Alejandro F. Frangi

Keyword(s):

Quality Control ◽

Automatic Quality Control ◽

Unsupervised Approach ◽

Population Imaging

Regressing Heatmaps for Multiple Landmark Localization Using CNNs

Medical Image Computing and Computer-Assisted Intervention – MICCAI 2016 - Lecture Notes in Computer Science ◽

10.1007/978-3-319-46723-8_27 ◽

2016 ◽

pp. 230-238 ◽

Cited By ~ 65

Author(s):

Christian Payer ◽

Darko Štern ◽

Horst Bischof ◽

Martin Urschler

Keyword(s):

Landmark Localization

The Automated Learning of Deep Features for Breast Mass Classification from Mammograms

Medical Image Computing and Computer-Assisted Intervention – MICCAI 2016 - Lecture Notes in Computer Science ◽

10.1007/978-3-319-46723-8_13 ◽

2016 ◽

pp. 106-114 ◽

Cited By ~ 37

Author(s):

Neeraj Dhungel ◽

Gustavo Carneiro ◽

Andrew P. Bradley

Keyword(s):

Breast Mass ◽

Automated Learning ◽

Mass Classification

Bayesian Image Quality Transfer

Medical Image Computing and Computer-Assisted Intervention – MICCAI 2016 - Lecture Notes in Computer Science ◽

10.1007/978-3-319-46723-8_31 ◽

2016 ◽

pp. 265-273 ◽

Cited By ~ 9

Author(s):

Ryutaro Tanno ◽

Aurobrata Ghosh ◽

Francesco Grussu ◽

Enrico Kaden ◽

Antonio Criminisi ◽

...

Keyword(s):

Image Quality

Vision-Based Classification of Developmental Disorders Using Eye-Movements

Medical Image Computing and Computer-Assisted Intervention – MICCAI 2016 - Lecture Notes in Computer Science ◽

10.1007/978-3-319-46723-8_37 ◽

2016 ◽

pp. 317-325 ◽

Cited By ~ 6

Author(s):

Guido Pusiol ◽

Andre Esteva ◽

Scott S. Hall ◽

Michael Frank ◽

Arnold Milstein ◽

...

Keyword(s):

Eye Movements ◽

Developmental Disorders

Medical Image Computing and Computer-Assisted Intervention – MICCAI 2016 - Lecture Notes in Computer ScienceLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

Feature Selection Based on Iterative Canonical Correlation Analysis for Automatic Diagnosis of Parkinson’s Disease

Outcome Prediction for Patient with High-Grade Gliomas from Brain Functional and Structural Networks

Identifying Relationships in Functional and Structural Connectome Data Using a Hypergraph Learning Method

Learning from Experts: Developing Transferable Deep Features for Patient-Level Lung Cancer Prediction

Detection of Differentiated vs. Undifferentiated Colonies of iPS Cells Using Random Forests Modeled with the Multivariate Polya Distribution

Automatic Quality Control for Population Imaging: A Generic Unsupervised Approach

Regressing Heatmaps for Multiple Landmark Localization Using CNNs

The Automated Learning of Deep Features for Breast Mass Classification from Mammograms

Bayesian Image Quality Transfer

Vision-Based Classification of Developmental Disorders Using Eye-Movements

Medical Image Computing and Computer-Assisted Intervention – MICCAI 2016 - Lecture Notes in Computer Science
Latest Publications