Skip to main content
SpringerLink
Log in
Book cover

Simulation and Synthesis in Medical Imaging

4th International Workshop, SASHIMI 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings

  • Conference proceedings
  • © 2019

Overview

Editors:
  1. Ninon Burgos

    1. Institut du Cerveau et de la Moelle Épinière (ICM), Paris, France

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  2. Ali Gooya

    1. University of Leeds, Leeds, UK

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  3. David Svoboda

    1. Masaryk University, Brno, Czech Republic

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 11827)

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 2019.

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution
eBook USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Table of contents (16 papers)

  1. Front Matter

    Pages i-x
    Download chapter PDF

  2. Empirical Bayesian Mixture Models for Medical Image Translation

    • Mikael Brudfors, John Ashburner, Parashkev Nachev, Yaël Balbastre
    Pages 1-12

  3. Improved MR to CT Synthesis for PET/MR Attenuation Correction Using Imitation Learning

    • Kerstin Kläser, Thomas Varsavsky, Pawel Markiewicz, Tom Vercauteren, David Atkinson, Kris Thielemans et al.
    Pages 13-21

  4. Unpaired Multi-contrast MR Image Synthesis Using Generative Adversarial Networks

    • Muhammad Sohail, Muhammad Naveed Riaz, Jing Wu, Chengnian Long, Shaoyuan Li
    Pages 22-31

  5. Unsupervised Retina Image Synthesis via Disentangled Representation Learning

    • Kang Li, Lequan Yu, Shujun Wang, Pheng-Ann Heng
    Pages 32-41

  6. Pseudo-normal PET Synthesis with Generative Adversarial Networks for Localising Hypometabolism in Epilepsies

    • Siti Nurbaya Yaakub, Colm J. McGinnity, James R. Clough, Eric Kerfoot, Nadine Girard, Eric Guedj et al.
    Pages 42-51

  7. Breast Mass Detection in Mammograms via Blending Adversarial Learning

    • Chunze Lin, Ruixiang Tang, Darryl D. Lin, Langechuan Liu, Jiwen Lu, Yunqiang Chen et al.
    Pages 52-61

  8. Tunable CT Lung Nodule Synthesis Conditioned on Background Image and Semantic Features

    • Ziyue Xu, Xiaosong Wang, Hoo-Chang Shin, Holger Roth, Dong Yang, Fausto Milletari et al.
    Pages 62-70

  9. Mask2Lesion: Mask-Constrained Adversarial Skin Lesion Image Synthesis

    • Kumar Abhishek, Ghassan Hamarneh
    Pages 71-80

  10. Towards Annotation-Free Segmentation of Fluorescently Labeled Cell Membranes in Confocal Microscopy Images

    • Dennis Eschweiler, Tim Klose, Florian Nicolas Müller-Fouarge, Marcin Kopaczka, Johannes Stegmaier
    Pages 81-89

  11. Intelligent Image Synthesis to Attack a Segmentation CNN Using Adversarial Learning

    • Liang Chen, Paul Bentley, Kensaku Mori, Kazunari Misawa, Michitaka Fujiwara, Daniel Rueckert
    Pages 90-99

  12. Physics-Informed Brain MRI Segmentation

    • Pedro Borges, Carole Sudre, Thomas Varsavsky, David Thomas, Ivana Drobnjak, Sebastien Ourselin et al.
    Pages 100-109

  13. 3D Medical Image Synthesis by Factorised Representation and Deformable Model Learning

    • Thomas Joyce, Sebastian Kozerke
    Pages 110-119

  14. Cycle-Consistent Training for Reducing Negative Jacobian Determinant in Deep Registration Networks

    • Dongyang Kuang
    Pages 120-129

  15. iSMORE: An Iterative Self Super-Resolution Algorithm

    • Can Zhao, Seoyoung Son, Yongsoo Kim, Jerry L. Prince
    Pages 130-139

  16. An Optical Model of Whole Blood for Detecting Platelets in Lens-Free Images

    • Benjamin D. Haeffele, Christian Pick, Ziduo Lin, Evelien Mathieu, Stuart C. Ray, René Vidal
    Pages 140-150

  17. Evaluation of the Realism of an MRI Simulator for Stroke Lesion Prediction Using Convolutional Neural Network

    • Noëlie Debs, Méghane Decroocq, Tae-Hee Cho, David Rousseau, Carole Frindel
    Pages 151-160

  18. Back Matter

    Pages 161-162
    Download chapter PDF
Back to top

Other volumes

  1. Simulation and Synthesis in Medical Imaging

Keywords

About this book

This book constitutes the refereed proceedings of the 4th International Workshop on Simulation and Synthesis in Medical Imaging, SASHIMI 2019, held in conjunction with MICCAI 2019, in Shenzhen, China, in October 2019.

The 16 full papers presented were carefully reviewed and selected from 21 submissions. The contributions span the following broad categories in alignment with the initial call-for-papers: methods based on generative models or adversarial learning for MRI/CT/PET/microscopy image synthesis, image super resolution, and several applications of image synthesis and simulation for data augmentation, segmentation or lesion detection.

Editors and Affiliations

  • Institut du Cerveau et de la Moelle Épinière (ICM), Paris, France

    Ninon Burgos

  • University of Leeds, Leeds, UK

    Ali Gooya

  • Masaryk University, Brno, Czech Republic

    David Svoboda

Bibliographic Information

  • Book Title: Simulation and Synthesis in Medical Imaging

  • Book Subtitle: 4th International Workshop, SASHIMI 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings

  • Editors: Ninon Burgos, Ali Gooya, David Svoboda

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-3-030-32778-1

  • Publisher: Springer Cham

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

  • Copyright Information: Springer Nature Switzerland AG 2019

  • Softcover ISBN: 978-3-030-32777-4Published: 18 October 2019

  • eBook ISBN: 978-3-030-32778-1Published: 10 October 2019

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: X, 162

  • Number of Illustrations: 18 b/w illustrations, 60 illustrations in colour

  • Topics: Image Processing and Computer Vision, Artificial Intelligence, Health Informatics, Mathematics of Computing

Publish with us

Policies and ethics

Societies and partnerships

Back to top

Search

Navigation