Word Sense Disambiguation of Medical Terms via Recurrent Convolutional Neural Networks. - Sven Festag; Cord Spreckelsen (eHealth, 2017)

A Visualisation and Extraction Tool for Time Series in the MIMIC III Database. - Sven Festag; Cord Spreckelsen (GMDS, 2019)

Semantic Anomaly Detection in Medical Time Series. - Sven Festag; Cord Spreckelsen (GMDS, 2020)

GAN-Based Prediction of Time Series. - Sven Festag; Cord Spreckelsen (MIE, 2021)

Outcome Prediction and Murmur Detection in Sets of Phonocardiograms by a Deep Learning-Based Ensemble Approach. - Sven Festag; Gideon Stein; Tim Büchner; Maha Shadaydeh; Joachim Denzler; Cord Spreckelsen (CinC, 2022)

Generative adversarial networks for biomedical time series forecasting and imputation. - Sven Festag; Joachim Denzler; Cord Spreckelsen (J. Biomed. Informatics, 2022)

TrustNShare: Development of a Blockchain-Based Data Trust Model for Secure and Controlled Health Data Sharing Grounded on Empirical Research. - Hamza Maatouk; Sebastian Uschmann; Sven Festag; Tim Schneider; Anna Weber; Ngo Manh Khoi; Sven Bock; Stephan M. Jonas; Cord Spreckelsen; Friederike Klan (ICIMTH, 2023)

Medical multivariate time series imputation and forecasting based on a recurrent conditional Wasserstein GAN and attention. - Sven Festag; Cord Spreckelsen (J. Biomed. Informatics, 2023)

Age estimation for disorder characterization from pediatric polysomnograms. - Sven Festag; Sebastian Herberger; Cord Spreckelsen; Dagmar Krefting; Ingo Fietze; Thomas Penzel; Peter B. Marschik; Nicolai Spicher (Biomed. Signal Process. Control., 2025)