| On Sparsity by NUV-EM, Gaussian Message Passing, and Kalman Smoothing HA Loeliger, L Bruderer, H Malmberg, F Wadehn, N Zalmai Information Theory and Applications Workshop (ITA), San Diego, USA., 2016 | 52 | 2016 |
| Model-based separation, detection, and classification of eye movements F Wadehn, T Weber, DJ Mack, T Heldt, HA Loeliger IEEE Transactions on Biomedical Engineering 67 (2), 588-600, 2019 | 22 | 2019 |
| Factor graphs with NUV priors and iteratively reweighted descent for sparse least squares and more HA Loeliger, B Ma, H Malmberg, F Wadehn 2018 IEEE 10th International Symposium on Turbo Codes & Iterative …, 2018 | 21 | 2018 |
| Outlier-insensitive Kalman Smoothing and Marginal Message Passing F Wadehn, L Bruderer, J Dauwels, V Sahdeva, H Yu, HA Loeliger European Signal Processing Confonference (EUSIPCO), Budapest, Hungary, 2016 | 18 | 2016 |
| A multiscale, model-based analysis of the multi-tissue interplay underlying blood glucose regulation in type I diabetes F Wadehn, S Schaller, T Eissing, M Krauss, L Küpfer IEEE 38th Annual International Conference of the Engineering in Medicine and …, 2016 | 12 | 2016 |
| Heart Rate Estimation in Photoplethysmogram Signals using Nonlinear Model-Based Preprocessing F Wadehn, Y Zhao, HA Loeliger Computing in Cardiology (CinC), Nice, France., 2015 | 12 | 2015 |
| Estimation of heart rate and heart rate variability from pulse oximeter recordings using localized model fitting F Wadehn, D Carnal, HA Loeliger 37th Annual International Conference of the IEEE Engineering in Medicine and …, 2015 | 12 | 2015 |
| State space methods with applications in biomedical signal processing F Wadehn Series in Signal and Information Processing 31, 2019 | 11 | 2019 |
| Adaptive maximal blood flow velocity estimation from transcranial Doppler echos F Wadehn, T Heldt IEEE journal of translational engineering in health and medicine 8, 1-11, 2020 | 7 | 2020 |
| Non-Invasive Detection of Intracranial Hypertension using Random Forests F Wadehn, D Walser, M Bohdanowicz, M Czosnyka, T Heldt Computing in Cardiology (CinC), Rennes, France., 2017 | 6 | 2017 |
| New Square-root and Diagonalized Kalman Smoothers F Wadehn, L Bruderer, V Sahdeva, HA Loeliger 54th Annual Allerton Conference on Communication, Control, and Computing, 2016 | 6 | 2016 |
| Sparse-input detection algorithm with applications in electrocardiography and ballistocardiography F Wadehn, L Bruderer, D Waltisberg, T Keresztfalvi, HA Loeliger International Conf. on Bio-inspired Systems and Signal Processing, 2015 | 6 | 2015 |
| Estimation of Neural Inputs and Detection of Saccades and Smooth Pursuit Eye Movements by Sparse Bayesian Learning F Wadehn, DJ Mack, T Weber, HA Loeliger 40th International Engineering in Medicine and Biology Conference (EMBC …, 2018 | 5 | 2018 |
| State space models with dynamical and sparse variances, and inference by EM message passing F Wadehn, T Weber, HA Loeliger 2019 27th European Signal Processing Conference (EUSIPCO), 1-5, 2019 | 4 | 2019 |
| A Multiscale Intracranial Pressure Signal Simulator F Wadehn, DJ Mack, E Keller, T Heldt Computing in Cardiology (CinC), Maastricht, Netherlands., 2018 | 4 | 2018 |
| Segmentation of TCD Cerebral Blood Flow Velocity Recordings F Wadehn, A Fanelli, T Heldt 38th Annual International Conference of the IEEE Engineering in Medicine and …, 2016 | 3 | 2016 |
| Sparse learning of Markovian population models in random environments C Zechner, F Wadehn, H Koeppl 19th World Congress of the International Federation of Automatic Control …, 2014 | 2 | 2014 |
| Motion sensitivity analysis of retinal ganglion cells in mouse retina using natural visual stimuli F Wadehn, K Schieban, K Nikolic 37th Annual International Conference of the IEEE Engineering in Medicine and …, 2015 | | 2015 |
| Introduction to Humanoid Robot Kinematics with the NAO H25: technical report F Wadehn, S Diether ETH Zurich, 2015 | | 2015 |
| Model-based Separation, Detection, and Classification of Eye Movements-Supplementary Material F Wadehn, T Weber, DJ Mack, T Heldt, HA Loeliger | | |
Thomas HeldtMassachusetts Institute of Technology在 mit.edu 的电子邮件经过验证
