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

TOTAL DOCUMENTS

(FIVE YEARS 0)

H-INDEX

(FIVE YEARS 0)

Published By Springer International Publishing

9783319467221, 9783319467238

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

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

Download Full-text

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

Download Full-text

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

Download Full-text

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

Download Full-text

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

Download Full-text

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

Download Full-text

3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation

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

10.1007/978-3-319-46723-8_49 ◽

2016 ◽

pp. 424-432 ◽

Cited By ~ 608

Author(s):

Özgün Çiçek ◽

Ahmed Abdulkadir ◽

Soeren S. Lienkamp ◽

Thomas Brox ◽

Olaf Ronneberger

Keyword(s):

Volumetric Segmentation

Download Full-text

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

Download Full-text

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

Download Full-text

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

Download Full-text

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

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

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

3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation

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

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