Enhancing Echocardiography Quality with Diffusion Neural Models
- 28 August 2024
- book chapter
- Published by Springer Nature
- p. 169-181
Abstract
No abstract availableKeywords
This publication has 7 references indexed in Scilit:
- Image Super-Resolution Via Iterative RefinementIEEE Transactions on Pattern Analysis and Machine Intelligence, 2022
- Multiobjective optimization of deep neural networks with combinations of Lp-norm cost functions for 3D medical image super-resolutionIntegrated Computer-Aided Engineering, 2020
- Deep Learning for Segmentation Using an Open Large-Scale Dataset in 2D EchocardiographyIEEE Transactions on Medical Imaging, 2019
- The Unreasonable Effectiveness of Deep Features as a Perceptual Metric2018
- Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network2017
- Image-to-Image Translation with Conditional Adversarial Networks2017
- High‐resolution echocardiography in the assessment of cardiac physiology and disease in preclinical modelsExperimental Physiology, 2013