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Simulation and Synthesis in Medical Imaging

Third International Workshop, SASHIMI 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Proceedings

  • Conference proceedings
  • © 2018

Overview

Editors:
  1. Ali Gooya

    1. University of Sheffield, Sheffield, UK

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  2. Orcun Goksel

    1. ETH Zurich, Zurich, Switzerland

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  3. Ipek Oguz

    1. Vanderbilt University, Nashville, USA

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  4. Ninon Burgos

    1. Pitié-Salpêtrière Hospital, Paris, France

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 11037)

Part of the book sub series: Image Processing, Computer Vision, Pattern Recognition, and Graphics (LNIP)

Included in the following conference series:

Conference proceedings info: SASHIMI 2018.

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Table of contents (14 papers)

  1. Front Matter

    Pages I-X
    Download chapter PDF

  2. Medical Image Synthesis for Data Augmentation and Anonymization Using Generative Adversarial Networks

    • Hoo-Chang Shin, Neil A. Tenenholtz, Jameson K. Rogers, Christopher G. Schwarz, Matthew L. Senjem, Jeffrey L. Gunter et al.
    Pages 1-11

  3. Data Augmentation Using Synthetic Lesions Improves Machine Learning Detection of Microbleeds from MRI

    • Saba Momeni, Amir Fazllolahi, Pierrick Bourgeat, Parnesh Raniga, Paul Yates, Nawaf Yassi et al.
    Pages 12-19

  4. Deep Harmonization of Inconsistent MR Data for Consistent Volume Segmentation

    • Blake E. Dewey, Can Zhao, Aaron Carass, Jiwon Oh, Peter A. Calabresi, Peter C. M. van Zijl et al.
    Pages 20-30

  5. Cross-Modality Image Synthesis from Unpaired Data Using CycleGAN

    • Yuta Hiasa, Yoshito Otake, Masaki Takao, Takumi Matsuoka, Kazuma Takashima, Aaron Carass et al.
    Pages 31-41

  6. A Machine Learning Approach to Diffusion MRI Partial Volume Estimation

    • Emmanuel Vallee, Wenchuan Wu, Francesca Galassi, Saad Jbabdi, Stephen Smith
    Pages 42-51

  7. Unsupervised Learning for Cross-Domain Medical Image Synthesis Using Deformation Invariant Cycle Consistency Networks

    • Chengjia Wang, Gillian Macnaught, Giorgos Papanastasiou, Tom MacGillivray, David Newby
    Pages 52-60

  8. Deep Boosted Regression for MR to CT Synthesis

    • Kerstin Kläser, Pawel Markiewicz, Marta Ranzini, Wenqi Li, Marc Modat, Brian F. Hutton et al.
    Pages 61-70

  9. Model-Based Generation of Synthetic 3D Time-Lapse Sequences of Multiple Mutually Interacting Motile Cells with Filopodia

    • Igor Peterlík, David Svoboda, Vladimír Ulman, Dmitry V. Sorokin, Martin Maška
    Pages 71-79

  10. MRI to FDG-PET: Cross-Modal Synthesis Using 3D U-Net for Multi-modal Alzheimer’s Classification

    • Apoorva Sikka, Skand Vishwanath Peri, Deepti R. Bathula
    Pages 80-89

  11. Tubular Network Formation Process Using 3D Cellular Potts Model

    • David Svoboda, Tereza Nečasová, Lenka Tesařová, Pavel Šimara
    Pages 90-99

  12. Deep Learning Based Coronary Artery Motion Artifact Compensation Using Style-Transfer Synthesis in CT Images

    • Sunghee Jung, Soochahn Lee, Byunghwan Jeon, Yeonggul Jang, Hyuk-Jae Chang
    Pages 100-110

  13. Lung Nodule Synthesis Using CNN-Based Latent Data Representation

    • Dario Augusto Borges Oliveira, Matheus Palhares Viana
    Pages 111-118

  14. RS-Net: Regression-Segmentation 3D CNN for Synthesis of Full Resolution Missing Brain MRI in the Presence of Tumours

    • Raghav Mehta, Tal Arbel
    Pages 119-129

  15. Generating Magnetic Resonance Spectroscopy Imaging Data of Brain Tumours from Linear, Non-linear and Deep Learning Models

    • Nathan Olliverre, Guang Yang, Gregory Slabaugh, Constantino Carlos Reyes-Aldasoro, Eduardo Alonso
    Pages 130-138

  16. Back Matter

    Pages 139-140
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  1. Simulation and Synthesis in Medical Imaging

Keywords

About this book

This book constitutes the refereed proceedings of the Third International Workshop on Simulation and Synthesis in Medical Imaging, SASHIMI 2018, held in conjunction with MICCAI 2018, in Granada, Spain, in September 2018.

The 14 full papers presented were carefully reviewed and selected from numerous submissions. This workshop continues to provide a state-of-the-art and integrative perspective on simulation and synthesis in medical imaging for the purpose of invigorating research and stimulating new ideas on how to build theoretical links, practical synergies, and best practices between these two research directions.

Editors and Affiliations

  • University of Sheffield, Sheffield, UK

    Ali Gooya

  • ETH Zurich, Zurich, Switzerland

    Orcun Goksel

  • Vanderbilt University, Nashville, USA

    Ipek Oguz

  • Pitié-Salpêtrière Hospital, Paris, France

    Ninon Burgos

Bibliographic Information

  • Book Title: Simulation and Synthesis in Medical Imaging

  • Book Subtitle: Third International Workshop, SASHIMI 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Proceedings

  • Editors: Ali Gooya, Orcun Goksel, Ipek Oguz, Ninon Burgos

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-3-030-00536-8

  • Publisher: Springer Cham

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: Springer Nature Switzerland AG 2018

  • Softcover ISBN: 978-3-030-00535-1Published: 12 September 2018

  • eBook ISBN: 978-3-030-00536-8Published: 11 September 2018

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: X, 140

  • Number of Illustrations: 58 b/w illustrations

  • Topics: Image Processing and Computer Vision, Health Informatics, Artificial Intelligence, Systems and Data Security

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