| 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 | 94 | 2020 |
| 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 | 71 | 2019 |
| 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 | 43 | 2021 |
| 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 | 13 | 2019 |
| 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 | 12 | 2022 |
| 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 | 10 | 2022 |
| 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 | 9 | 2020 |
| 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 | 7 | 2021 |
| 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 | 6 | 2020 |
| 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 | 5 | 2022 |
| Organic LED panels for pulse rate measurement using photoplethysmography imaging S Lyra, M Paul POSTER 2019, 2019 | 5 | 2019 |
| 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 | 5 | 2018 |
| 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 | 3 | 2023 |
| 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 | 2 | 2023 |
| 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 | 2 | 2022 |
| 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 | 1 | 2023 |
| A Physical Phantom for the Simulation of Neonatal Thermoregulation F Voss, L Tiltmann, S Lyra, S Leonhardt, M Lueken | 1 | 2023 |
| Real-Time Segmentation of Neonates on Embedded GPUs via Deep Learning S Lyra, S Rira POSTER 2022, 2022 | 1 | 2022 |
| Analysis of Silicone Additives to Model the Dielectric Properties of Heart Tissue L Korn, S Lyra, S Leonhardt, M Walter International Conference on Electrical Bioimpedance, 60-66, 2019 | 1 | 2019 |
| Real-time Neonatal Respiratory Rate Extraction using Deep Learning and Domain Transfer N Blass, S Lyra, S Leonhardt, M Lüken | | 2024 |
