Continuous Wearable Monitoring Analytics Predict Heart Failure Hospitalization, The LINK-HF Multicenter Study MP Josef Stehlik, Carsten Schmalfuss, Biykem Bozkurt, Jose Nativi-Nicolau ... Circulation:Heart Failure 13 (3), 2020 | 174 | 2020 |
Evaluation of a class of NLFM radar signals S Alphonse, GA Williamson EURASIP Journal on Advances in Signal Processing 2019 (1), 62, 2019 | 25 | 2019 |
NOVEL RADAR SIGNAL MODELS USING NONLINEAR FREQUENCY MODULATION S Alphonse, GA Williamson 22nd European Signal Processing Conference (EUSIPCO), 2014 | 13 | 2014 |
Continuous wearable monitoring analytics predict heart failure decompensation: the LINK-HF multi-center study J Stehlik, C Schmalfuss, B Bozkurt, J Nativi-Nicolau, S Wegerich, K Rose, ... Journal of the American College of Cardiology 71 (11S), A646-A646, 2018 | 11 | 2018 |
On Estimating Nonlinear Frequency Modulated Radar Signals in Low SNR Environments S Alphonse, GA Williamson IEEE Transactions on Aerospace and Electronic Systems, 2021 | 10 | 2021 |
Estimation of radar signals using passive sensor network S Alphonse, GA Williamson 2015 IEEE Radar Conference (RadarCon), 1525-1530, 2015 | 5 | 2015 |
Autoregulatory Efficiency Assessment in Kidneys Using Deep Learning S Alphonse, AJ Polichnowski, KA Griffin, AK Bidani, GA Williamson 2020 28th European Signal Processing Conference (EUSIPCO), 1165-1169, 2020 | 1 | 2020 |
Low Dimensional Signal Sets for Radar Applications SA Alphonse Illinois Institute of Technology, 2018 | 1 | 2018 |
Efficacy of Dynamics-Based Features for Machine Learning Classification of Renal Hemodynamics PR Chopde, R Álvarez-Cedrón, S Alphonse, AJ Polichnowski, KA Griffin, ... 2023 31st European Signal Processing Conference (EUSIPCO), 1145-1149, 2023 | | 2023 |