| A signal decomposition model-based Bayesian framework for ECG components separation EK Roonizi, R Sassi IEEE Transactions on Signal Processing 64 (3), 665-674, 2016 | 69 | 2016 |
| Morphological modeling of cardiac signals based on signal decomposition E Kheirati Roonizi, R Sameni Computers in biology and medicine 43 (10), 1453-1461, 2013 | 63 | 2013 |
| A New Algorithm for Fitting a Gaussian Function Riding on the Polynomial Background E Kheirati Roonizi IEEE Signal Processing Letters 20 (11), 1062-1065, 2013 | 30 | 2013 |
| Forward-backward filtering and penalized least-squares optimization: A unified framework AK Roonizi, C Jutten Signal Processing 178, 107796, 2021 | 25 | 2021 |
| Diagnostic and prognostic values of the V-index, a novel ECG marker quantifying spatial heterogeneity of ventricular repolarization, in patients with symptoms suggestive of non … R Abächerli, R Twerenbold, J Boeddinghaus, T Nestelberger, P Mächler, ... International journal of cardiology 236, 23-29, 2017 | 24 | 2017 |
| A new approach to ARMAX signals smoothing: Application to variable-Q ARMA filter design AK Roonizi IEEE Transactions on Signal Processing 67 (17), 4535-4544, 2019 | 20 | 2019 |
| An extended Bayesian framework for atrial and ventricular activity separation in atrial fibrillation EK Roonizi, R Sassi IEEE journal of biomedical and health informatics 21 (6), 1573-1580, 2016 | 20 | 2016 |
| Band-stop smoothing filter design AK Roonizi, C Jutten IEEE Transactions on Signal Processing 69, 1797-1810, 2021 | 19 | 2021 |
| An Efficient Algorithm for Maneuvering Target Tracking AK Roonizi IEEE Signal Processing Magazine 38 (1), 122-130, 2020 | 16 | 2020 |
| ℓ 2 and ℓ 1 Trend Filtering: A Kalman Filter Approach AK Roonizi IEEE Signal Processing Magazine 38 (6), 137-145, 2021 | 12 | 2021 |
| Improved smoothness priors using bilinear transform AK Roonizi, C Jutten Signal Processing 169, 107381, 2020 | 12 | 2020 |
| Kalman Filtering in Non-Gaussian Model Errors: A New Perspective AK Roonizi IEEE Signal Processing Magazine 39 (3), 105-114, 2022 | 9 | 2022 |
| A new approach to Gaussian signal smoothing: Application to ECG components separation AK Roonizi IEEE Signal Processing Letters 27, 1924-1928, 2020 | 8 | 2020 |
| A deep learning-based multi-model ensemble method for eye state recognition from EEG MS Islalm, MM Rahman, MH Rahman, MR Hoque, AK Roonizi, ... 2021 IEEE 11th Annual Computing and Communication Workshop and Conference …, 2021 | 7 | 2021 |
| Kalman filter/smoother-based design and implementation of digital IIR filters AK Roonizi Signal Processing 208, 108958, 2023 | 6 | 2023 |
| A Kalman filter framework for simultaneous LTI filtering and total variation denoising AK Roonizi, IW Selesnick IEEE Transactions on Signal Processing 70, 4543-4554, 2022 | 6 | 2022 |
| Dominant atrial fibrillatory frequency estimation using an extended Kalman smoother EK Roonizi, R Sassi 2016 Computing in Cardiology Conference (CinC), 989-992, 2016 | 6 | 2016 |
| A modified Bayesian filtering framework for ECG beat segmentation EK Roonizi, M Fatemi 2014 22nd Iranian Conference on Electrical Engineering (ICEE), 1868-1872, 2014 | 5 | 2014 |
| A signal decomposition based Kalman smoother for T-wave alternans detection EK Roonizi, R Sassi 2015 AEIT International Annual Conference (AEIT), 1-4, 2015 | 3 | 2015 |
| A Signal Decomposition Approach to Morphological Modeling of P wave EK Roonizi, R Sassi | 3 | 2014 |
Roberto SassiProfessor of Computer Science, Università degli Studi di Milano, ItalyVerified email at unimi.it
