Generation of Synthetic Echocardiograms Using Video Diffusion Models-Reference-Cited by-同舟云学术

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Generation of Synthetic Echocardiograms Using Video Diffusion Models

Published:2024-03-17 Issue: Volume:34 Page:33-36
ISSN:
Container-title:2024 IEEE Southwest Symposium on Image Analysis and Interpretation (SSIAI)
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Author:

Pellicer Alexandre Olive¹,Yadav Amit Kumar Singh²,Bhagtani Kratika²,Xiang Ziyue²,Pizlo Zygmunt³,Gradus-Pizlo Irmina⁴,Delp Edward J.²

Affiliation:

1. Purdue University,Video and Image Processing Lab (VIPER), School of Electrical and Computer Engineering,West Lafayette,Indiana,USA

2. University of California-Irvine,Department of Cognitive Sciences,Irvine,California,USA

3. University of California-Irvine,School of Medicine,Irvine,California,USA

4. Universitat Politècnica de Catalunya (UPC),Escola Tècnica Superior d’Enginyeria de Telecomunicació de Barcelona,Barcelona,Spain

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10508599/10508607/10508643.pdf?arnumber=10508643

Reference24 articles.

1. Annotation-efficient deep learning for automatic medical image segmentation

2. AlphaFold 2: Why It Works and Its Implications for Understanding the Relationships of Protein Sequence, Structure, and Function

3. Cyclical Self-Supervision for Semi-Supervised Ejection Fraction Prediction From Echocardiogram Videos

4. Self-Supervised Representation Learning: Introduction, advances, and challenges

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