Shape in Medical Imaging

International Workshop, ShapeMI 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 20, 2018, Proceedings

  • Martin Reuter
  • Christian Wachinger
  • Hervé Lombaert
  • Beatriz Paniagua
  • Marcel Lüthi
  • Bernhard Egger
Conference proceedings ShapeMI 2018

Part of the Lecture Notes in Computer Science book series (LNCS, volume 11167)

Also part of the Image Processing, Computer Vision, Pattern Recognition, and Graphics book sub series (LNIP, volume 11167)

Table of contents

  1. Front Matter
    Pages I-XII
  2. Shape Applications/Validation/Software

    1. Front Matter
      Pages 1-1
    2. Alexandre Bône, Maxime Louis, Benoît Martin, Stanley Durrleman
      Pages 3-13
    3. Anupama Goparaju, Ibolya Csecs, Alan Morris, Evgueni Kholmovski, Nassir Marrouche, Ross Whitaker et al.
      Pages 14-27
    4. Wookjin Choi, Saad Nadeem, Sadegh Riyahi, Joseph O. Deasy, Allen Tannenbaum, Wei Lu
      Pages 38-48
    5. Roman Grothausmann, Christian Mühlfeld, Matthias Ochs, Lars Knudsen
      Pages 49-64
    6. Jared Vicory, Laura Pascal, Pablo Hernandez, James Fishbaugh, Juan Prieto, Mahmoud Mostapha et al.
      Pages 65-72
    7. Lina Gundelwein, Heiko Ramm, Leonid Goubergrits, Marcus Kelm, Hans Lamecker
      Pages 73-77
    8. Miroslav Králík, Ondřej Klíma, Petra Urbanová, Lenka Polcerová, Martin Čuta
      Pages 78-89
  3. Shape Methods

    1. Front Matter
      Pages 91-91
    2. Hao Bo Yu, Yui Nakagawa, Harvey Ho, Atsushi Saito, Akinobu Shimizu
      Pages 93-101
    3. Shuman Jia, Nicolas Duchateau, Pamela Moceri, Maxime Sermesant, Xavier Pennec
      Pages 116-124
    4. Andreas Morel-Forster, Thomas Gerig, Marcel Lüthi, Thomas Vetter
      Pages 137-146
    5. Marion Morand, Olivier Comas, Gérard Subsol, Christophe Fiorio
      Pages 147-159
    6. Ayagoz Mussabayeva, Alexey Kroshnin, Anvar Kurmukov, Yulia Denisova, Li Shen, Shan Cong et al.
      Pages 160-168
    7. Zhe Min, Jiaole Wang, Max Q.-H. Meng
      Pages 169-177
    8. Jinming Duan, Weicheng Xie, Ryan Wen Liu, Christopher Tench, Irene Gottlob, Frank Proudlock et al.
      Pages 178-188
    9. Elham Taghizadeh, Alexandre Terrier, Fabio Becce, Alain Farron, Philippe Büchler
      Pages 189-194
    10. Lindsey Kitchell, Daniel Bullock, Soichi Hayashi, Franco Pestilli
      Pages 195-206
    11. Ondřej Klíma, Roman Madeja, Michal Španel, Martin Čuta, Pavel Zemčík, Pavel Stoklásek et al.
      Pages 207-219
  4. Shape Classification and Deep Learning

    1. Front Matter
      Pages 221-221
    2. Benjamín Gutiérrez-Becker, Sergios Gatidis, Daniel Gutmann, Annette Peters, Christopher Schlett, Fabian Bamberg et al.
      Pages 223-231
    3. Kristen M. Campbell, P. Thomas Fletcher
      Pages 232-243
    4. Riddhish Bhalodia, Shireen Y. Elhabian, Ladislav Kavan, Ross T. Whitaker
      Pages 244-257
    5. Jinming Duan, Jo Schlemper, Wenjia Bai, Timothy J. W. Dawes, Ghalib Bello, Carlo Biffi et al.
      Pages 258-267
    6. Dmitry Petrov, Boris A. Gutman, Egor Kuznetsov, Christopher R. K. Ching, Kathryn Alpert, Artemis Zavaliangos-Petropulu et al.
      Pages 268-276
    7. Katarína Tóthová, Sarah Parisot, Matthew C. H. Lee, Esther Puyol-Antón, Lisa M. Koch, Andrew P. King et al.
      Pages 300-310
  5. Back Matter
    Pages 311-312

About these proceedings


This book constitutes the proceedings of the Workshop on Shape in Medical Imaging, ShapeMI 2018, held in conjunction with the 21st International Conference on Medical Image Computing, MICCAI 2018, in Granada, Spain, in September 2018.

The 26 full papers and 2 short papers presented were carefully reviewed and selected for inclusion in this volume. The papers discuss novel approaches and applications in shape and geometry processing and their use in research and clinical studies and explore novel, cutting-edge theoretical methods and their usefulness for medical applications, e.g., from the fields of geometric learning or spectral shape analysis.



artificial intelligence automatic segmentations computer vision image analysis image processing image reconstruction image registration image segmentation imaging systems medical images medical imaging principal component analysis segmentation methods shape analysis shape modeling

Editors and affiliations

  1. 1.German Center for Neurodegenerative DiseasesBonnGermany
  2. 2.Ludwig Maximilian University of MunichMunichGermany
  3. 3.École de Technologie SupérieureMontrealCanada
  4. 4.Kitware Inc.CarrboroUSA
  5. 5.University of BaselBaselSwitzerland
  6. 6.Massachusetts Institute of TechnologyCambridgeUSA

Bibliographic information