Overview
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 12729)
Part of the book sub series: Image Processing, Computer Vision, Pattern Recognition, and Graphics (LNIP)
Included in the following conference series:
Conference proceedings info: IPMI 2021.
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Table of contents (59 papers)
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Generative Modelling
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Shape
Other volumes
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Information Processing in Medical Imaging
Keywords
- bioinformatics
- biomedical image processing
- color image processing
- computational anatomy
- computer aided diagnosis
- computer aided intervention
- computer systems
- image analysis
- image computing
- image reconstruction
- image segmentation
- machine learning
- medical images
- neural networks
- pattern recognition
- signal processing
- statistics
About this book
This book constitutes the proceedings of the 27th International Conference on Information Processing in Medical Imaging, IPMI 2021, which was held online during June 28-30, 2021. The conference was originally planned to take place in Bornholm, Denmark, but changed to a virtual format due to the COVID-19 pandemic.
The 59 full papers presented in this volume were carefully reviewed and selected from 200 submissions. They were organized in topical sections as follows: registration; causal models and interpretability; generative modelling; shape; brain connectivity; representation learning; segmentation; sequential modelling; learning with few or low quality labels; uncertainty quantification and generative modelling; and deep learning.
Editors and Affiliations
Bibliographic Information
Book Title: Information Processing in Medical Imaging
Book Subtitle: 27th International Conference, IPMI 2021, Virtual Event, June 28–June 30, 2021, Proceedings
Editors: Aasa Feragen, Stefan Sommer, Julia Schnabel, Mads Nielsen
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-030-78191-0
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2021
Softcover ISBN: 978-3-030-78190-3Published: 21 June 2021
eBook ISBN: 978-3-030-78191-0Published: 20 June 2021
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XIX, 782
Number of Illustrations: 22 b/w illustrations, 261 illustrations in colour