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  • Conference proceedings
  • © 2022

Simulation and Synthesis in Medical Imaging

7th International Workshop, SASHIMI 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings

Editors:

  1. Can Zhao

    1. NVIDIA, Santa Clara, USA

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  2. David Svoboda

    1. Masaryk University, Brno, Czech Republic

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  3. Jelmer M. Wolterink

    1. University of Twente, Enschede, The Netherlands

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  4. Maria Escobar

    1. Universidad de Los Andes, Bogotá, Colombia

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 13570)

Conference series link(s): SASHIMI: International Workshop on Simulation and Synthesis in Medical Imaging

Conference proceedings info: SASHIMI 2022.

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Table of contents (15 papers)

  1. Front Matter

    Pages i-viii
    PDF

  2. Subject-Specific Lesion Generation and Pseudo-Healthy Synthesis for Multiple Sclerosis Brain Images

    • Berke Doga Basaran, Mengyun Qiao, Paul M. Matthews, Wenjia Bai
    Pages 1-11

  3. Generating Artificial Artifacts for Motion Artifact Detection in Chest CT

    • Guus van der Ham, Rudolfs Latisenko, Michail Tsiaousis, Gijs van Tulder
    Pages 12-23

  4. Probabilistic Image Diversification to Improve Segmentation in 3D Microscopy Image Data

    • Dennis Eschweiler, Justus Schock, Johannes Stegmaier
    Pages 24-33

  5. Pathology Synthesis of 3D Consistent Cardiac MR Images Using 2D VAEs and GANs

    • Sina Amirrajab, Cristian Lorenz, Juergen Weese, Josien Pluim, Marcel Breeuwer
    Pages 34-42

  6. HealthyGAN: Learning from Unannotated Medical Images to Detect Anomalies Associated with Human Disease

    • Md Mahfuzur Rahman Siddiquee, Jay Shah, Teresa Wu, Catherine Chong, Todd Schwedt, Baoxin Li
    Pages 43-54

  7. Bi-directional Synthesis of Pre- and Post-contrast MRI via Guided Feature Disentanglement

    • Yuan Xue, Blake E. Dewey, Lianrui Zuo, Shuo Han, Aaron Carass, Peiyu Duan et al.
    Pages 55-65

  8. Morphology-Preserving Autoregressive 3D Generative Modelling of the Brain

    • Petru-Daniel Tudosiu, Walter Hugo Lopez Pinaya, Mark S. Graham, Pedro Borges, Virginia Fernandez, Dai Yang et al.
    Pages 66-78

  9. Can Segmentation Models Be Trained with Fully Synthetically Generated Data?

    • Virginia Fernandez, Walter Hugo Lopez Pinaya, Pedro Borges, Petru-Daniel Tudosiu, Mark S. Graham, Tom Vercauteren et al.
    Pages 79-90

  10. Multimodal Super Resolution with Dual Domain Loss and Gradient Guidance

    • Anitha Priya Krishnan, Roshan Reddy Upendra, Aniket Pramanik, Zhuang Song, Richard A. D. Carano, the Alzheimer’s Disease Neuroimaging Initiative
    Pages 91-100

  11. Brain Lesion Synthesis via Progressive Adversarial Variational Auto-Encoder

    • Jiayu Huo, Vejay Vakharia, Chengyuan Wu, Ashwini Sharan, Andrew Ko, Sébastien Ourselin et al.
    Pages 101-111

  13. A Novel Method Combining Global and Local Assessments to Evaluate CBCT-Based Synthetic CTs

    • Chelsea Sargeant, Andrew Green, Jane Shortall, Robert Chuter, Jiaofeng Xu, Daniel Thill et al.
    Pages 122-131

  14. SuperFormer: Volumetric Transformer Architectures for MRI Super-Resolution

    • Cristhian Forigua, Maria Escobar, Pablo Arbelaez
    Pages 132-141

  15. Evaluating the Performance of StyleGAN2-ADA on Medical Images

    • McKell Woodland, John Wood, Brian M. Anderson, Suprateek Kundu, Ethan Lin, Eugene Koay et al.
    Pages 142-153

  17. Back Matter

    Pages 167-168
    PDF
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Other Volumes

  1. Simulation and Synthesis in Medical Imaging

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About this book

This book constitutes the refereed proceedings of the 7th International Workshop on Simulation and Synthesis in Medical Imaging, SASHIMI 2022, held in conjunction with MICCAI 2022, in Singapore, Singapore in September 2022.

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Keywords

  • artificial intelligence
  • bioinformatics
  • color image processing
  • color images
  • computer systems
  • computer vision
  • digital image
  • image analysis
  • image enhancement
  • image processing
  • image quality
  • image reconstruction
  • image segmentation
  • imaging systems
  • machine learning
  • medical images
  • neural networks
  • pattern recognition
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Editors and Affiliations

  • NVIDIA, Santa Clara, USA

    Can Zhao

  • Masaryk University, Brno, Czech Republic

    David Svoboda

  • University of Twente, Enschede, The Netherlands

    Jelmer M. Wolterink

  • Universidad de Los Andes, Bogotá, Colombia

    Maria Escobar

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Bibliographic Information

  • Book Title: Simulation and Synthesis in Medical Imaging

  • Book Subtitle: 7th International Workshop, SASHIMI 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings

  • Editors: Can Zhao, David Svoboda, Jelmer M. Wolterink, Maria Escobar

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-3-031-16980-9

  • Publisher: Springer Cham

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

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022

  • Softcover ISBN: 978-3-031-16979-3Published: 22 September 2022

  • eBook ISBN: 978-3-031-16980-9Published: 21 September 2022

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: VIII, 168

  • Number of Illustrations: 18 b/w illustrations, 46 illustrations in colour

  • Topics: Computer Vision, Artificial Intelligence, Computers and Education, Computer and Information Systems Applications

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Access via your institution
eBook USD 44.99
Price excludes VAT (USA)
  • ISBN: 978-3-031-16980-9
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book USD 59.99
Price excludes VAT (USA)
Learn about institutional subscriptions