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Simulation and Synthesis in Medical Imaging

9th International Workshop, SASHIMI 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 10, 2024, Proceedings

  • Conference proceedings
  • © 2025

Overview

Editors:
  1. Virginia Fernandez

    1. King's College London, London, UK

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  2. Jelmer M. Wolterink

    1. University of Twente, Enschede, The Netherlands

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  3. David Wiesner

    1. Masaryk University, Brno, Czech Republic

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  4. Samuel Remedios

    1. Johns Hopkins University, Baltimore, USA

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  5. Lianrui Zuo

    1. Vanderbilt University, Nashville, USA

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  6. Adrià Casamitjana

    1. University of Girona, Girona, Spain

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 15187)

Included in the following conference series:

Conference proceedings info: SASHIMI 2024.

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About this book

This book constitutes the refereed proceedings of the 9th International Workshop on Simulation and Synthesis in Medical Imaging, SASHIMI 2024, held in conjunction with the 27th International conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2024, in Marrakesh, Morocco in October 2024.

The 19 papers included in this book were carefully reviewed and selected from 32 submissions. They focus on recent developments in methods for image-to-image translation, image synthesis, biophysical modelling, super-resolution and image segmentation and classification.

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Keywords

Table of contents (19 papers)

  1. Front Matter

    Pages i-xi
    Download chapter PDF

  2. Synthetic Augmentation for Anatomical Landmark Localization Using DDPMs

    • Arnela Hadzic, Lea Bogensperger, Simon Johannes Joham, Martin Urschler
    Pages 1-12

  3. AdaptDiff: Cross-Modality Domain Adaptation via Weak Conditional Semantic Diffusion for Retinal Vessel Segmentation

    • Dewei Hu, Hao Li, Han Liu, Jiacheng Wang, Xing Yao, Daiwei Lu et al.
    Pages 13-23

  4. Adapted nnU-Net: A Robust Baseline for Cross-Modality Synthesis and Medical Image Inpainting

    • Arthur Longuefosse, Edern Le Bot, Baudouin Denis De Senneville, Rémi Giraud, Boris Mansencal, Pierrick Coupé et al.
    Pages 24-33

  5. Beyond MR Image Harmonization: Resolution Matters Too

    • Savannah P. Hays, Samuel W. Remedios, Lianrui Zuo, Ellen M. Mowry, Scott D. Newsome, Peter A. Calabresi et al.
    Pages 34-44

  6. Benchmarking Robustness of Endoscopic Depth Estimation with Synthetically Corrupted Data

    • An Wang, Haochen Yin, Beilei Cui, Mengya Xu, Hongliang Ren
    Pages 45-57

  7. A Dual-Task Mutual Learning Framework for Predicting Post-thrombectomy Cerebral Hemorrhage

    • Caiwen Jiang, Tianyu Wang, Xiaodan Xing, Mianxin Liu, Guang Yang, Zhongxiang Ding et al.
    Pages 58-68

  8. TSynD: Targeted Synthetic Data Generation for Enhanced Medical Image Classification

    • Joshua Niemeijer, Jan Ehrhardt, Hristina Uzunova, Heinz Handels
    Pages 69-78

  9. Beyond Intensity Transforms: Medical Image Synthesis Under Large Deformation

    • Muhammad F. A. Chaudhary, Joseph M. Reinhardt, Sarah E. Gerard
    Pages 79-88

  10. Sim2Real in Endoscopy Segmentation with a Novel Structure Aware Image Translation

    • Clara Tomasini, Luis Riazuelo, Ana C. Murillo
    Pages 89-101

  11. Fireflies: Photorealistic Simulation and Optimization of Structured Light Endoscopy

    • Jann-Ole Henningson, Reinhard Veltrup, Marion Semmler, Michael Döllinger, Marc Stamminger
    Pages 102-112

  12. Exogenous Agent-Free Synthetic Post-contrast Imaging with a Cascade of Deep Networks for Enhancement Prediction After Tumor Resection. A Parametric-Map Oriented Approach

    • Elisa Moya-Sáez, Rodrigo de Luis-García, Laura Nunez-Gonzalez, Carlos Alberola-López, Juan Antonio Hernández-Tamames
    Pages 113-123

  13. OCT Scans Simulation Framework for Data Augmentation and Controlled Evaluation of Signal Processing Approaches

    • Aleksandr Sovetsky, Alexander Matveyev, Peter Chizhov, Vladimir Zaitsev, Lev Matveev
    Pages 124-133

  14. Enhancing Quantitative Image Synthesis Through Pretraining and Resolution Scaling for Bone Mineral Density Estimation from a Plain X-Ray Image

    • Yi Gu, Yoshito Otake, Keisuke Uemura, Masaki Takao, Mazen Soufi, Seiji Okada et al.
    Pages 134-145

  15. Latent Pollution Model: The Hidden Carbon Footprint in 3D Image Synthesis

    • Marvin Seyfarth, Salman Ul Hassan Dar, Sandy Engelhardt
    Pages 146-156

  16. Synthesizing Scalable CFD-Enhanced Aortic 4D Flow MRI for Assessing Accuracy and Precision of Deep-Learning Image Reconstruction and Segmentation Tasks

    • Pietro Dirix, Luuk Jacobs, Stefano Buoso, Sebastian Kozerke
    Pages 157-166

  17. MedEdit: Counterfactual Diffusion-Based Image Editing on Brain MRI

    • Malek Ben Alaya, Daniel M. Lang, Benedikt Wiestler, Julia A. Schnabel, Cosmin I. Bercea
    Pages 167-176

  18. Using MR Physics for Domain Generalisation and Super-Resolution

    • Pedro Borges, Virginia Fernandez, Petru Daniel Tudosiu, Parashkev Nachev, Sebastien Ourselin, M. Jorge Cardoso
    Pages 177-186

  19. Single-Scan mpMRI Calibration of Multi-species Brain Tumor Dynamics with Mass Effect

    • Ali Ghafouri, George Biros
    Pages 187-196

  20. Annotated Biomedical Video Generation Using Denoising Diffusion Probabilistic Models and Flow Fields

    • Rüveyda Yilmaz, Dennis Eschweiler, Johannes Stegmaier
    Pages 197-207
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Other volumes

  1. Simulation and Synthesis in Medical Imaging

Editors and Affiliations

  • King's College London, London, UK

    Virginia Fernandez

  • University of Twente, Enschede, The Netherlands

    Jelmer M. Wolterink

  • Masaryk University, Brno, Czech Republic

    David Wiesner

  • Johns Hopkins University, Baltimore, USA

    Samuel Remedios

  • Vanderbilt University, Nashville, USA

    Lianrui Zuo

  • University of Girona, Girona, Spain

    Adrià Casamitjana

Bibliographic Information

  • Book Title: Simulation and Synthesis in Medical Imaging

  • Book Subtitle: 9th International Workshop, SASHIMI 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 10, 2024, Proceedings

  • Editors: Virginia Fernandez, Jelmer M. Wolterink, David Wiesner, Samuel Remedios, Lianrui Zuo, Adrià Casamitjana

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-3-031-73281-2

  • 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 2025

  • Softcover ISBN: 978-3-031-73280-5Published: 06 October 2024

  • eBook ISBN: 978-3-031-73281-2Published: 05 October 2024

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XI, 210

  • Number of Illustrations: 11 b/w illustrations, 61 illustrations in colour

  • Topics: Image Processing and Computer Vision, Artificial Intelligence, Computers and Education, Computer Applications

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