Application of Neural-Controlled Differential Equations in Disease Progression Modeling Using Irregularly Sampled Multimodal Data
Author:
Affiliation:
1. Food and Drug Administration,Department of Pharmacometrics,Silver Spring,USA
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10387537/10387540/10387641.pdf?arnumber=10387641
Reference7 articles.
1. Neural ordinary differential equations;Chen;Advances in neural information processing systems,2018
2. Latent ordinary differential equations for irregularly-sampled time series;Yulia;Advances in neural information processing systems,2019
3. Neural controlled differential equations for irregular time series;Kidger;Advances in Neural Information Processing Systems,2020
4. Fibrosis-Net: A Tailored Deep Convolutional Neural Network Design for Prediction of Pulmonary Fibrosis Progression From Chest CT Images
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