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Simon Lyra
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2020 – today
- 2023
- [j7]Jöran Rixen
, Nico Blass, Simon Lyra
Comparison of Machine Learning Classifiers for the Detection of Breast Cancer in an Electrical Impedance Tomography Setup. Algorithms 16(11): 517 (2023) - [j6]Simon Lyra
Conditional Generative Adversarial Networks for Data Augmentation of a Neonatal Image Dataset. Sensors 23(2): 999 (2023) - [c5]Simon Lyra, Jinyi Jin, Steffen Leonhardt, Markus Lüken:
Early Prediction of Neonatal Sepsis From Synthetic Clinical Data Using Machine Learning. EMBC 2023: 1-4 - [c4]Jöran Rixen, Benedikt Eliasson, Simon Lyra, Steffen Leonhardt:
Shape analysis of training data for neural networks in Electrical Impedance Tomography. EMBC 2023: 1-4 - [c3]Florian Voss, Lennard Tiltmann, Simon Lyra, Steffen Leonhardt, Markus Lüken:
A Physical Phantom for the Simulation of Neonatal Thermoregulation. EMBC 2023: 1-4 - 2022
- [j5]Simon Lyra
Camera fusion for real-time temperature monitoring of neonates using deep learning. Medical Biol. Eng. Comput. 60(6): 1787-1800 (2022) - [j4]Florian Voss
A Setup for Camera-Based Detection of Simulated Pathological States Using a Neonatal Phantom. Sensors 22(3): 957 (2022) - [c2]Simon Lyra
Real-Time Respiration Monitoring of Neonates from Thermography Images Using Deep Learning. ICIAP (1) 2022: 221-232 - 2021
- [j3]Simon Lyra
A Deep Learning-Based Camera Approach for Vital Sign Monitoring Using Thermography Images for ICU Patients. Sensors 21(4): 1495 (2021) - [j2]Simon Lyra
A Neonatal Phantom for Vital Signs Simulation. IEEE Trans. Biomed. Circuits Syst. 15(5): 949-959 (2021) - 2020
- [j1]Christoph Hoog Antink
Fast body part segmentation and tracking of neonatal video data using deep learning. Medical Biol. Eng. Comput. 58(12): 3049-3061 (2020)
2010 – 2019
- 2019
- [c1]Simon Lyra, Steffen Leonhardt
Early Prediction of Sepsis Using Random Forest Classification for Imbalanced Clinical Data. CinC 2019: 1-4
Coauthor Index
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