Editors:
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 9601)
Part of the book sub series: Image Processing, Computer Vision, Pattern Recognition, and Graphics (LNIP)
Conference series link(s): MCV: International MICCAI Workshop on Medical Computer Vision
Conference proceedings info: MCV 2015.
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Table of contents (16 papers)
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Front Matter
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Workshop Overview
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Front Matter
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Machine Learning Based Analyses
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Front Matter
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Advanced Methods for Image Analysis
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Front Matter
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About this book
This book constitutes the thoroughly refereed prost-workshop proceedings of the International Workshop on Medical Computer Vision: Algorithms for Big Data, MCS 2015, held in Munich, Germany, in October 2015, held in conjunction with the 18th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2015.
The workshop shows well the current trends and tendencies in medical computer vision and how the techniques can be used in clinical work and on large data sets. It is organized in the following sections: predicting disease; atlas exploitation and avoidance; machine learning based analyses; advanced methods for image analysis; poster sessions. The 10 full, 5 short, 1 invited papers and one overview paper presented in this volume were carefully reviewed and selected from 22 submissions.
Keywords
- brain connectivity
- computer vision
- deep learning
- machine learning
- pattern recognition
- computer tomography
- CT images
- image registration
- image segmentation
- large-deformation image registration
- medical computer vision
- medical image analysis
- MRI
- parkinson's desease
- reconstruction
- sparse regression
- spectral graph theory
- structured prediction
- VISCERAL benchmark
- visualization
Editors and Affiliations
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TU München, Computer Science , München, Germany
Bjoern Menze
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Medical University of Vienna , Wien, Austria
Georg Langs
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Southwestern Medical Center, University of Texas Southwestern Medical Center, Dallas, USA
Albert Montillo
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Siemens AG , Erlangen, Germany
Michael Kelm
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University of Applied Sciences HES- , Sierre, Switzerland
Henning Müller
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University of North Carolina , CHARLOTTE, USA
Shaoting Zhang
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Sydney, Australia
Weidong Cai
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Computer Science, State University of New Jersey Rutgers Computer Science, Piscataway, USA
Dimitris Metaxas
Bibliographic Information
Book Title: Medical Computer Vision: Algorithms for Big Data
Book Subtitle: International Workshop, MCV 2015, Held in Conjunction with MICCAI 2015, Munich, Germany, October 9, 2015, Revised Selected Papers
Editors: Bjoern Menze, Georg Langs, Albert Montillo, Michael Kelm, Henning Müller, Shaoting Zhang, Weidong Cai, … Dimitris Metaxas
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-319-42016-5
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing Switzerland 2016
Softcover ISBN: 978-3-319-42015-8Published: 30 July 2016
eBook ISBN: 978-3-319-42016-5Published: 29 July 2016
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XV, 182
Number of Illustrations: 70 b/w illustrations
Topics: Image Processing and Computer Vision, Pattern Recognition, Health Informatics