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Deep Generative Models : Third MICCAI Workshop, DGM4MICCAI 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings / edited by Anirban Mukhopadhyay, Ilkay Oksuz, Sandy Engelhardt, Dajiang Zhu, Yixuan Yuan.
Springer Nature - Springer Computer Science eBooks 2024 English International Available online
View online- Format:
- Book
- Series:
- Lecture Notes in Computer Science, 1611-3349 ; 14533
- Language:
- English
- Subjects (All):
- Computer vision.
- Machine learning.
- Education--Data processing.
- Education.
- Application software.
- Computer Vision.
- Machine Learning.
- Computers and Education.
- Computer and Information Systems Applications.
- Local Subjects:
- Computer Vision.
- Machine Learning.
- Computers and Education.
- Computer and Information Systems Applications.
- Physical Description:
- 1 online resource (256 pages)
- Edition:
- 1st ed. 2024.
- Place of Publication:
- Cham : Springer Nature Switzerland : Imprint: Springer, 2024.
- Summary:
- This LNCS conference volume constitutes the proceedings of the third MICCAI Workshop, DGM4MICCAI 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 2023. The 23 full papers included in this volume were carefully reviewed and selected from 38 submissions. The conference presents topics ranging from methodology, causal inference, latent interpretation, generative factor analysis to applications such as mammography, vessel imaging, and surgical Videos.
- Contents:
- Methods
- Applications
- Methodology. Causal inference. Latent interpretation. Generative factor analysis
- Mammography. Vessel imaging
- Surgical Videos.
- ISBN:
- 3-031-53767-X
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