Reconstruction, Segmentation, and Analysis of Medical Images

First International Workshops, RAMBO 2016 and HVSMR 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 17, 2016, Revised Selected Papers

  • Maria A. Zuluaga
  • Kanwal Bhatia
  • Bernhard Kainz
  • Mehdi H. Moghari
  • Danielle F. Pace
Conference proceedings RAMBO 2016, HVSMR 2016

Part of the Lecture Notes in Computer Science book series (LNCS, volume 10129)

Also part of the Image Processing, Computer Vision, Pattern Recognition, and Graphics book sub series (LNIP, volume 10129)

Table of contents

  1. Front Matter
    Pages I-XI
  2. RAMBO: Registration

    1. Front Matter
      Pages 1-1
    2. Michael Ebner, Manil Chouhan, Premal A. Patel, David Atkinson, Zahir Amin, Samantha Read et al.
      Pages 3-13
    3. Amir HajiRassouliha, Andrew J. Taberner, Martyn P. Nash, Poul M. F. Nielsen
      Pages 14-23
    4. Fangxu Xing, Jonghye Woo, Arnold D. Gomez, Dzung L. Pham, Philip V. Bayly, Maureen Stone et al.
      Pages 24-33
  3. RAMBO: Reconstruction

    1. Front Matter
      Pages 35-35
    2. Cagdas Ulas, Pedro A. Gómez, Felix Krahmer, Jonathan I. Sperl, Marion I. Menzel, Bjoern H. Menze
      Pages 37-47
    3. Houssem-Eddine Gueziri, Sebastien Tremblay, Catherine Laporte, Rupert Brooks
      Pages 48-57
    4. Javier Royuela-del-Val, Muhammad Usman, Lucilio Cordero-Grande, Marcos Martin-Fernandez, Federico Simmross-Wattenberg, Claudia Prieto et al.
      Pages 58-69
    5. Aurélien Bustin, Anne Menini, Martin A. Janich, Darius Burschka, Jacques Felblinger, Anja C. S. Brau et al.
      Pages 70-80
  4. RAMBO and HVSMR: Deep Learning for Heart Segmentation

    1. Front Matter
      Pages 81-81
    2. Rudra P. K. Poudel, Pablo Lamata, Giovanni Montana
      Pages 83-94
    3. Jelmer M. Wolterink, Tim Leiner, Max A. Viergever, Ivana Išgum
      Pages 95-102
    4. Lequan Yu, Xin Yang, Jing Qin, Pheng-Ann Heng
      Pages 103-110
    5. Jinpeng Li, Rongzhao Zhang, Lin Shi, Defeng Wang
      Pages 111-118
  5. RAMBO and HVSMR: Discrete Optimization and Probabilistic Intensity Modeling

  6. HSVMR: Atlas-Based Strategies

    1. Front Matter
      Pages 137-137
    2. Maria A. Zuluaga, Benedetta Biffi, Andrew M. Taylor, Silvia Schievano, Tom Vercauteren, Sébastien Ourselin
      Pages 139-146

About these proceedings

Introduction

This book constitutes the refereed proceedings of two workshops held at the 19th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2016, in Athens, Greece, in October 2016: the First International Workshop on Reconstruction and Analysis of Moving Body Organs, RAMBO 2016, and the First International Workshop on Whole-Heart and Great Vessel Segmentation from 3D Cardiovascular MRI in Congenital Heart Disease, HVSMR 2016.

The 17 revised regular papers presented in this book were carefully reviewed and selected from a total of 21 submissions. The papers cover following topics: Registration; Reconstruction; Deep learning for heart segmentation; Discrete optimization and probabilistic intensity modeling; Atlas-based strategies; Random forests.

Keywords

Computer Science Informatics life and medical sciences machine learning modeling and simulation reconstruction segmentation 3D cardiac MRI applied computing automatic segmentation cardiac image segmentation computing methodologies image analysis deep learning image analysis magnetic resonance imaging motion random forest registration super-resolution reconstruction tagged MRI tissue maps total variation

Editors and affiliations

  • Maria A. Zuluaga
    • 1
  • Kanwal Bhatia
    • 2
  • Bernhard Kainz
    • 3
  • Mehdi H. Moghari
    • 4
  • Danielle F. Pace
    • 5
  1. 1.University College LondonLondonUnited Kingdom
  2. 2.King’s College LondonLondonUnited Kingdom
  3. 3.Imperial College LondonLondonUnited Kingdom
  4. 4.Harvard Medical School and Boston Children’s HospitalBostonUSA
  5. 5.MITCambridgeUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-52280-7
  • Copyright Information Springer International Publishing AG 2017
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-52279-1
  • Online ISBN 978-3-319-52280-7
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book