Early Prediction of Sepsis Using Random Forest Classification for Imbalanced Clinical Data. - Simon Lyra; Steffen Leonhardt; Christoph Hoog Antink (CinC, 2019)

Fast body part segmentation and tracking of neonatal video data using deep learning. - Christoph Hoog Antink; Joana Carlos Mesquita Ferreira; Michael Paul; Simon Lyra; Konrad Heimann; Srinivasa Karthik; Jayaraj Joseph; Kumutha Jayaraman; Thorsten Orlikowsky; Mohanasankar Sivaprakasam; Steffen Leonhardt (Medical Biol. Eng. Comput., 2020)

A Deep Learning-Based Camera Approach for Vital Sign Monitoring Using Thermography Images for ICU Patients. - Simon Lyra; Leon Mayer; Liyang Ou; David Chen; Paddy Timms; Andrew Tay; Peter Y. Chan; Bergita Ganse; Steffen Leonhardt; Christoph Hoog Antink (Sensors, 2021)

A Neonatal Phantom for Vital Signs Simulation. - Simon Lyra; Florian Voss; André Coenen; Daniel Blase; Idoia Badiola Aguirregomezcorta; Durmus Umutcan Uguz; Steffen Leonhardt; Christoph Hoog Antink (IEEE Trans. Biomed. Circuits Syst., 2021)

Real-Time Respiration Monitoring of Neonates from Thermography Images Using Deep Learning. - Simon Lyra; Ines Groß-Weege; Steffen Leonhardt; Markus J. Lüken (ICIAP (1), 2022)

Camera fusion for real-time temperature monitoring of neonates using deep learning. - Simon Lyra; Jöran Rixen; Konrad Heimann; Srinivasa Karthik; Jayaraj Joseph; Kumutha Jayaraman; Thorsten Orlikowsky; Mohanasankar Sivaprakasam; Steffen Leonhardt; Christoph Hoog Antink (Medical Biol. Eng. Comput., 2022)

A Setup for Camera-Based Detection of Simulated Pathological States Using a Neonatal Phantom. - Florian Voss; Simon Lyra; Daniel Blase; Steffen Leonhardt; Markus J. Lüken (Sensors, 2022)

Early Prediction of Neonatal Sepsis From Synthetic Clinical Data Using Machine Learning. - Simon Lyra; Jinyi Jin; Steffen Leonhardt; Markus J. Lüken (EMBC, 2023)

Shape analysis of training data for neural networks in Electrical Impedance Tomography. - Jöran Rixen; Benedikt Eliasson; Simon Lyra; Steffen Leonhardt (EMBC, 2023)

A Physical Phantom for the Simulation of Neonatal Thermoregulation. - Florian Voss; Lennard Tiltmann; Simon Lyra; Steffen Leonhardt; Markus J. Lüken (EMBC, 2023)

Comparison of Machine Learning Classifiers for the Detection of Breast Cancer in an Electrical Impedance Tomography Setup. - Jöran Rixen; Nico Blass; Simon Lyra; Steffen Leonhardt (Algorithms, 2023)

Conditional Generative Adversarial Networks for Data Augmentation of a Neonatal Image Dataset. - Simon Lyra; Arian Mustafa; Jöran Rixen; Stefan Borik; Markus J. Lüken; Steffen Leonhardt (Sensors, 2023)