Shape-guided Conditional Latent Diffusion Models for Synthesising Brain Vasculature

Deo, Y., Dou, H., Ravikumar, N. et al. (2 more authors) (2024) Shape-guided Conditional Latent Diffusion Models for Synthesising Brain Vasculature. In: Deep Generative Models. Deep Generative Models workshop at 26th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2023), 08-12 Oct 2023, Vancouver, Canada. Lecture Notes in Computer Science, 14533 . Springer , pp. 164-173. ISBN 978-3-031-53766-0

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Item Type: Proceedings Paper
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This version of the article has been accepted for publication, after peer review (when applicable) and is subject to Springer Nature’s AM terms of use (https://www.springernature.com/gp/open-research/policies/accepted-manuscript-terms), but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: https://doi.org/10.1007/978-3-031-53767-7_16 .

Keywords: Image Synthesis, Deep Learning, Brain Vasculature, Vessel Synthesis, Diffusion, Latent Diffusion
Dates:
  • Published: 20 February 2024
  • Published (online): 20 February 2024
  • Accepted: 21 July 2023
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds)
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Royal Academy of Engineering
CiET1819\19
Depositing User: Symplectic Publications
Date Deposited: 19 Oct 2023 14:51
Last Modified: 20 Feb 2025 01:13
Published Version: https://link.springer.com/chapter/10.1007/978-3-03...
Status: Published
Publisher: Springer
Series Name: Lecture Notes in Computer Science
Identification Number: 10.1007/978-3-031-53767-7_16
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