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Medical Computer Vision: Algorithms for Big Data

International Workshop, MCV 2015, Held in Conjunction with MICCAI 2015, Munich, Germany, October 9, 2015, Revised Selected Papers

  • Conference proceedings
  • © 2016

Overview

Editors:
  1. Bjoern Menze

    1. TU München, Computer Science , München, Germany

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  2. Georg Langs

    1. Medical University of Vienna , Wien, Austria

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  3. Albert Montillo

    1. Southwestern Medical Center, University of Texas Southwestern Medical Center, Dallas, USA

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  4. Michael Kelm

    1. Siemens AG , Erlangen, Germany

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  5. Henning Müller

    1. University of Applied Sciences HES- , Sierre, Switzerland

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  6. Shaoting Zhang

    1. University of North Carolina , CHARLOTTE, USA

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  7. Weidong Cai

    1. Sydney, Australia

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  8. Dimitris Metaxas

    1. Computer Science, State University of New Jersey Rutgers Computer Science, Piscataway, USA

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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)

Included in the following conference series:

Conference proceedings info: MCV 2015.

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Table of contents (16 papers)

  1. Front Matter

    Pages I-XV
    Download chapter PDF

  2. Workshop Overview

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. Overview of the 2015 Workshop on Medical Computer Vision — Algorithms for Big Data (MCV 2015)

      • Henning Müller, Bjoern Menze, Georg Langs, Albert Montillo, Michael Kelm, Shaoting Zhang et al.
      Pages 3-9

  3. Predicting Disease

    1. Front Matter

      Pages 11-11
      Download chapter PDF

    2. Information-Theoretic Clustering of Neuroimaging Metrics Related to Cognitive Decline in the Elderly

      • Madelaine Daianu, Greg Ver Steeg, Adam Mezher, Neda Jahanshad, Talia M. Nir, Xiaoran Yan et al.
      Pages 13-23

    3. Relationship Induced Multi-atlas Learning for Alzheimer’s Disease Diagnosis

      • Mingxia Liu, Daoqiang Zhang, Ehsan Adeli-Mosabbeb, Dinggang Shen
      Pages 24-33

  4. Atlas Exploitation and Avoidance

    1. Front Matter

      Pages 35-35
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    2. Hierarchical Multi-Organ Segmentation Without Registration in 3D Abdominal CT Images

      • Vasileios Zografos, Alexander Valentinitsch, Markus Rempfler, Federico Tombari, Bjoern Menze
      Pages 37-46

    3. Structure Specific Atlas Generation and Its Application to Pancreas Segmentation from Contrasted Abdominal CT Volumes

      • Ken’ichi Karasawa, Takayuki Kitasaka, Masahiro Oda, Yukitaka Nimura, Yuichiro Hayashi, Michitaka Fujiwara et al.
      Pages 47-56

  5. Machine Learning Based Analyses

    1. Front Matter

      Pages 57-57
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    2. Local Structure Prediction with Convolutional Neural Networks for Multimodal Brain Tumor Segmentation

      • Pavel Dvořák, Bjoern Menze
      Pages 59-71

    3. Automated Segmentation of CBCT Image with Prior-Guided Sequential Random Forest

      • Li Wang, Yaozong Gao, Feng Shi, Gang Li, Ken-Chung Chen, Zhen Tang et al.
      Pages 72-82

    4. Subject-Specific Estimation of Missing Cortical Thickness Maps in Developing Infant Brains

      • Yu Meng, Gang Li, Yaozong Gao, John H. Gilmore, Weili Lin, Dinggang Shen
      Pages 83-92

  6. Advanced Methods for Image Analysis

    1. Front Matter

      Pages 93-93
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    2. Calibrationless Parallel Dynamic MRI with Joint Temporal Sparsity

      • Yang Yu, Zhennan Yan, Li Feng, Dimitris Metaxas, Leon Axel
      Pages 95-102

    3. Creating a Large-Scale Silver Corpus from Multiple Algorithmic Segmentations

      • Markus Krenn, Matthias Dorfer, Oscar Alfonso Jiménez del Toro, Henning Müller, Bjoern Menze, Marc-André Weber et al.
      Pages 103-115

    4. Psoas Major Muscle Segmentation Using Higher-Order Shape Prior

      • Tsutomu Inoue, Yoshiro Kitamura, Yuanzhong Li, Wataru Ito, Hiroshi Ishikawa
      Pages 116-124

  7. Poster Session

    1. Front Matter

      Pages 125-125
      Download chapter PDF

    2. Joint Feature-Sample Selection and Robust Classification for Parkinson’s Disease Diagnosis

      • Ehsan Adeli-Mosabbeb, Chong-Yaw Wee, Le An, Feng Shi, Dinggang Shen
      Pages 127-136

    3. Dynamic Tree-Based Large-Deformation Image Registration for Multi-atlas Segmentation

      • Pei Zhang, Guorong Wu, Yaozong Gao, Pew-Thian Yap, Dinggang Shen
      Pages 137-145
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Other volumes

  1. Medical Computer Vision: Algorithms for Big Data

Keywords

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.

Editors and Affiliations

  • TU München, Computer Science , München, Germany

    Bjoern Menze

  • Medical University of Vienna , Wien, Austria

    Georg Langs

  • Southwestern Medical Center, University of Texas Southwestern Medical Center, Dallas, USA

    Albert Montillo

  • Siemens AG , Erlangen, Germany

    Michael Kelm

  • University of Applied Sciences HES- , Sierre, Switzerland

    Henning Müller

  • University of North Carolina , CHARLOTTE, USA

    Shaoting Zhang

  • Sydney, Australia

    Weidong Cai

  • 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

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