Overview
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 12969)
Part of the book sub series: Image Processing, Computer Vision, Pattern Recognition, and Graphics (LNIP)
Included in the following conference series:
- CLIP: Workshop on Clinical Image-Based Procedures
- DCL: MICCAI Workshop on Distributed and Collaborative Learning
- LL-COVID19: Workshop on Lessons Learned from the Development and Application of Medical-Imaging-Based AI Technologies for Combatting COVID-19
- PPML: Workshop and Tutorial on Secure and Privacy-Preserving Machine Learning for Medical Imaging
Conference proceedings info: CLIP 2021, DCL 2021, LL-COVID19 2021, PPML 2021.
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Table of contents(17 papers)
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CLIP
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LL-COVID19
Other volumes
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Clinical Image-Based Procedures, Distributed and Collaborative Learning, Artificial Intelligence for Combating COVID-19 and Secure and Privacy-Preserving Machine Learning
Keywords
- computer vision
- computing methodologies
- COVID-19
- deep learning
- distributed artificial intelligence
- Human-Computer Interaction (HCI)
- image analysis
- image processing
- image reconstruction
- image segmentation
- learning systems
- machine learning
- medical images
- network protocols
- neural networks
- privacy-preserving protocols
- security and privacy
- signal processing
- translational research
- ultrasound
About this book
CLIP 2021 accepted 9 papers from the 13 submissions received. It focuses on holistic patient models for personalized healthcare with the goal to bring basic research methods closer to the clinical practice.
For DCL 2021, 4 papers from 7 submissions were accepted for publication. They deal with machine learning applied to problems where data cannot be stored in centralized databases and information privacy is a priority.
LL-COVID19 2021 accepted 2 papers out of 3 submissions dealing with the use of AI models in clinical practice.
And for PPML 2021, 2 papers were accepted from a total of 6 submissions, exploring the use of privacy techniques in the medical imaging community.
Editors and Affiliations
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Fraunhofer IGD, Darmstadt, Germany
Cristina Oyarzun Laura, Stefan Wesarg
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King's College London, London, UK
M. Jorge Cardoso
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IBM Research-Haifa and Haifa University, Haifa, Israel
Michal Rosen-Zvi
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Technical University of Munich, Munich, Germany
Georgios Kaissis, Daniel Rueckert, Alexander Ziller, Dmitrii Usynin
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Children’s National Health System, Washington, D.C., USA
Marius George Linguraru
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Children’s National Health System, Washington, USA
Raj Shekhar
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Fraunhofer Singapore, Singapore, Singapore
Marius Erdt
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Aachen University of Applied Sciences, Jülich, Germany
Klaus Drechsler
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Tongji University, Shanghai, China
Yufei Chen
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Helmholtz AI, Neuherberg, Germany
Shadi Albarqouni
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University of Pennsylvania, Philadelphia, USA
Spyridon Bakas
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Vanderbilt University, Nashville, USA
Bennett Landman
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NVIDIA GmbH, Munich, Germany
Nicola Rieke
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NVIDIA Corporation, Bethesda, USA
Holger Roth
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University of British Columbia, Vancouver, Canada
Xiaoxiao Li
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NVIDIA Corporation, Santa Clara, USA
Daguang Xu
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IBM Research Europe, Rueschlikon, Switzerland
Maria Gabrani
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Computer Vision Laboratory, Zürich, Switzerland
Ender Konukoglu
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Assuta Medical Centers Radiology, Aviv-Yafo, Israel
Michal Guindy
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Imperial College London, London, UK
Jonathan Passerat-Palmbach
Bibliographic Information
Book Title: Clinical Image-Based Procedures, Distributed and Collaborative Learning, Artificial Intelligence for Combating COVID-19 and Secure and Privacy-Preserving Machine Learning
Book Subtitle: 10th Workshop, CLIP 2021, Second Workshop, DCL 2021, First Workshop, LL-COVID19 2021, and First Workshop and Tutorial, PPML 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27 and October 1, 2021, Proceedings
Editors: Cristina Oyarzun Laura, M. Jorge Cardoso, Michal Rosen-Zvi, Georgios Kaissis, Marius George Linguraru, Raj Shekhar, Stefan Wesarg, Marius Erdt, Klaus Drechsler, Yufei Chen, Shadi Albarqouni, Spyridon Bakas, Bennett Landman, Nicola Rieke, Holger Roth, Xiaoxiao Li, Daguang Xu, Maria Gabrani, Ender Konukoglu, Michal Guindy, Daniel Rueckert, Alexander Ziller, Dmitrii Usynin, … Jonathan Passerat-Palmbach
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-030-90874-4
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2021
Softcover ISBN: 978-3-030-90873-7Published: 14 November 2021
eBook ISBN: 978-3-030-90874-4Published: 13 November 2021
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XXV, 190
Number of Illustrations: 11 b/w illustrations, 67 illustrations in colour
Topics: Image Processing and Computer Vision, Machine Learning, Computer Communication Networks, Computer Appl. in Social and Behavioral Sciences