Simon Lyra

According to our database, Simon Lyra authored at least 12 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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, January, 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

A Physical Phantom for the Simulation of Neonatal Thermoregulation.

Florian Voss, Lennard Tiltmann, Simon Lyra, Steffen Leonhardt, Markus Lüken

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

Shape analysis of training data for neural networks in Electrical Impedance Tomography.

Jöran Rixen, Benedikt Eliasson, Simon Lyra, Steffen Leonhardt

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

Early Prediction of Neonatal Sepsis From Synthetic Clinical Data Using Machine Learning.

Simon Lyra, Jinyi Jin, Steffen Leonhardt, Markus Lüken

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

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

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

Real-Time Respiration Monitoring of Neonates from Thermography Images Using Deep Learning.

Simon Lyra, Ines Groß-Weege, Steffen Leonhardt, Markus J. Lüken

Proceedings of the Image Analysis and Processing - ICIAP 2022, 2022

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

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

2020

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

2019

Early Prediction of Sepsis Using Random Forest Classification for Imbalanced Clinical Data.

Simon Lyra, Steffen Leonhardt, Christoph Hoog Antink

Proceedings of the 46th Computing in Cardiology, 2019