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Simon Lyra
Simon Lyra
Medical Information Technology, RWTH Aachen University
Verified email at hia.rwth-aachen.de - Homepage
Title
Cited by
Cited by
Year
Fast body part segmentation and tracking of neonatal video data using deep learning
CH Antink, JCM Ferreira, M Paul, S Lyra, K Heimann, S Karthik, J Joseph, ...
Medical & Biological Engineering & Computing 58, 3049-3061, 2020
972020
A broader look: Camera-based vital sign estimation across the spectrum
CH Antink, S Lyra, M Paul, X Yu, S Leonhardt
Yearbook of medical informatics 28 (01), 102-114, 2019
792019
A Deep Learning-Based Camera Approach for Vital Sign Monitoring Using Thermography Images for ICU Patients
S Lyra, L Mayer, L Ou, D Chen, P Timms, A Tay, PY Chan, B Ganse, ...
Sensors 21 (4), 1495, 2021
502021
Camera fusion for real-time temperature monitoring of neonates using deep learning
S Lyra, J Rixen, K Heimann, S Karthik, J Joseph, K Jayaraman, ...
Medical & Biological Engineering & Computing 60 (6), 1787-1800, 2022
182022
Early Prediction of Sepsis Using Random Forest Classification for Imbalanced Clinical Data
S Lyra, S Leonhardt, CH Antink
2019 Computing in Cardiology (CinC), 1-4, 2019
162019
On the spatial phase distribution of cutaneous low-frequency perfusion oscillations
S Borik, S Lyra, V Perlitz, M Keller, S Leonhardt, V Blazek
Scientific Reports 12 (1), 5997, 2022
122022
Photoplethysmography imaging: camera performance evaluation by means of an optoelectronic skin perfusion phantom
S Borik, S Lyra, M Paul, CH Antink, S Leonhardt, V Blazek
Physiological measurement 41 (5), 054001, 2020
92020
Multi-modal body part segmentation of infants using deep learning
F Voss, N Brechmann, S Lyra, J Rixen, S Leonhardt, C Hoog Antink
BioMedical Engineering OnLine 22 (1), 28, 2023
82023
A Setup for Camera-Based Detection of Simulated Pathological States Using a Neonatal Phantom
F Voss, S Lyra, D Blase, S Leonhardt, M Lüken
Sensors 22 (3), 957, 2022
72022
A Neonatal Phantom for Vital Signs Simulation
S Lyra, F Voss, A Coenen, D Blase, IB Aguirregomezcorta, DU Uguz, ...
IEEE Transactions on Biomedical Circuits and Systems 15 (5), 949-959, 2021
72021
In silico and in vitro conductivity models of the left heart ventricle
L Korn, S Lyra, D Rüschen, D Telyshev, S Leonhardt, M Walter
Journal of Electrical Bioimpedance 11 (1), 62, 2020
72020
Heart phantom with electrical properties of heart muscle tissue
L Korn, S Lyra, D Rüschen, A Pugovkin, D Telyshev, S Leonhardt, ...
Current Directions in Biomedical Engineering 4 (1), 97-100, 2018
62018
Organic LED panels for pulse rate measurement using photoplethysmography imaging
S Lyra, M Paul
POSTER 2019, 2019
52019
Real-Time Respiration Monitoring of Neonates from Thermography Images Using Deep Learning
S Lyra, I Groß-Weege, S Leonhardt, M Lüken
International Conference on Image Analysis and Processing, 221-232, 2022
42022
Comparison of Machine Learning Classifiers for the Detection of Breast Cancer in an Electrical Impedance Tomography Setup
J Rixen, N Blass, S Lyra, S Leonhardt
Algorithms 16 (11), 517, 2023
32023
On the cardiorespiratory coordination assessed by the photoplethysmography imaging technique
S Borik, M Keller, V Perlitz, S Lyra, H Pelz, G Müller, S Leonhardt, ...
Scientific Reports 13 (1), 14645, 2023
22023
A Physical Phantom for the Simulation of Neonatal Thermoregulation
F Voss, L Tiltmann, S Lyra, S Leonhardt, M Lueken
22023
Early Prediction of Neonatal Sepsis From Synthetic Clinical Data Using Machine Learning
S Lyra, J Jin, S Leonhardt, M Lüken
12023
Conditional Generative Adversarial Networks for Data Augmentation of a Neonatal Image Dataset
S Lyra, A Mustafa, J Rixen, S Borik, M Lueken, S Leonhardt
Sensors 23 (2), 999, 2023
12023
Real-Time Segmentation of Neonates on Embedded GPUs via Deep Learning
S Lyra, S Rira
POSTER 2022, 2022
12022
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