Embedding Intelligent Features for Vibration-Based Machine Condition Monitoring. - Christian Reich; Ahmad Mansour; Kristof Van Laerhoven (EUSIPCO, 2018)

Bayesian Estimation of Recurrent Changepoints for Signal Segmentation and Anomaly Detection. - Christian Reich; Christina Nicolaou; Ahmad Mansour; Kristof Van Laerhoven (EUSIPCO, 2019)

Detection of Machine Tool Anomalies from Bayesian Changepoint Recurrence Estimation. - Christian Reich; Christina Nicolaou; Ahmad Mansour; Kristof Van Laerhoven (INDIN, 2019)

Collecting Labels for Rare Anomalies via Direct Human Feedback - An Industrial Application Study. - Christian Reich; Ahmad Mansour; Kristof Van Laerhoven (Informatics, 2019)

The Food and Drug Administration (FDA) Center for Biologics Evaluation and Research (CBER) Biologics Effectiveness and Safety (BEST) Initiative: How Informatics Can Assist the Secondary Use of Electronic Health Records to Inform Regulatory Decisions. - Azadeh Shoaibi; Hui-Lee Wong; Christian Reich; Keran Moll; Tina Hernandez-Boussard (AMIA, 2020)

Learning machine monitoring models from sparse and noisy sensor data annotations (Lernen von Modellen zur Maschinenüberwachung aus spärlichen und verrauschten Sensordatenannotationen) - Christian Reich (2020)

The Usage of OHDSI OMOP - A Scoping Review. - Ines Reinecke; Michéle Zoch; Christian Reich; Martin Sedlmayr; Franziska Bathelt (GMDS, 2021)

Towards quality improvement of vaccine concept mappings in the OMOP vocabulary with a semi-automated method. - Rashmie Abeysinghe; Adam Black; Denys Kaduk; Yupeng Li; Christian Reich; Alexander Davydov; Lixia Yao; Licong Cui (J. Biomed. Informatics, 2022)