| A new benchmark on american sign language recognition using convolutional neural network MM Rahman, MS Islam, MH Rahman, R Sassi, MW Rivolta, ... 2019 International Conference on Sustainable Technologies for Industry 4.0 …, 2019 | 184 | 2019 |
| Evaluation of the Tinetti score and fall risk assessment via accelerometry-based movement analysis MW Rivolta, M Aktaruzzaman, G Rizzo, CL Lafortuna, M Ferrarin, G Bovi, ... Artificial intelligence in medicine 95, 38-47, 2019 | 88 | 2019 |
| Brain sparing effect in growth‐restricted fetuses is associated with decreased cardiac acceleration and deceleration capacities: a case–control study T Stampalija, D Casati, L Monasta, R Sassi, MW Rivolta, ML Muggiasca, ... BJOG: An International Journal of Obstetrics & Gynaecology 123 (12), 1947-1954, 2016 | 67 | 2016 |
| Pilot test of a new personal health system integrating environmental and wearable sensors for telemonitoring and care of elderly people at home (SMARTA project) L Pigini, G Bovi, C Panzarino, V Gower, M Ferratini, G Andreoni, R Sassi, ... Gerontology 63 (3), 281-286, 2017 | 65 | 2017 |
| Parameters influence on acceleration and deceleration capacity based on trans-abdominal ECG in early fetal growth restriction at different gestational age epochs T Stampalija, D Casati, M Montico, R Sassi, MW Rivolta, V Maggi, A Bauer, ... European Journal of Obstetrics & Gynecology and Reproductive Biology 188 …, 2015 | 64 | 2015 |
| Performance comparison between wrist and chest actigraphy in combination with heart rate variability for sleep classification M Aktaruzzaman, MW Rivolta, R Karmacharya, N Scarabottolo, L Pugnetti, ... Computers in biology and medicine 89, 212-221, 2017 | 52 | 2017 |
| Machine learning enables noninvasive prediction of atrial fibrillation driver location and acute pulmonary vein ablation success using the 12-lead ECG G Luongo, L Azzolin, S Schuler, MW Rivolta, TP Almeida, JP Martķnez, ... Cardiovascular Digital Health Journal 2 (2), 126-136, 2021 | 44 | 2021 |
| Acceleration and deceleration capacity of fetal heart rate in an in-vivo sheep model MW Rivolta, T Stampalija, D Casati, BS Richardson, MG Ross, MG Frasch, ... PLoS One 9 (8), e104193, 2014 | 44 | 2014 |
| Theoretical value of deceleration capacity points to deceleration reserve of fetal heart rate MW Rivolta, T Stampalija, MG Frasch, R Sassi IEEE Transactions on Biomedical Engineering 67 (4), 1176-1185, 2019 | 39 | 2019 |
| Opening the black box: interpretability of machine learning algorithms in electrocardiography M Bodini, MW Rivolta, R Sassi Philosophical Transactions of the Royal Society A 379 (2212), 20200253, 2021 | 26 | 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 |
| Spatial repolarization heterogeneity and survival in chagas disease R Sassi, MW Rivolta, LT Mainardi, RC Reis, MOC Rocha, ALP Ribeiro, ... Methods of Information in Medicine 53 (06), 464-468, 2014 | 21 | 2014 |
| Ventricular activity cancellation in electrograms during atrial fibrillation with constraints on residuals’ power VDA Corino, MW Rivolta, R Sassi, F Lombardi, LT Mainardi Medical Engineering & Physics 35 (12), 1770-1777, 2013 | 20 | 2013 |
| A systematic survey of data augmentation of ECG signals for AI applications MM Rahman, MW Rivolta, F Badilini, R Sassi Sensors 23 (11), 5237, 2023 | 19 | 2023 |
| Automatic vs. clinical assessment of fall risk in older individuals: a proof of concept MW Rivolta, M Aktaruzzaman, G Rizzo, CL Lafortuna, M Ferrarin, G Bovi, ... Engineering in Medicine and Biology Society (EMBC), 2015 37th Annual …, 2015 | 15 | 2015 |
| Quantification of ventricular repolarization heterogeneity during moxifloxacin or sotalol administration using V-index MW Rivolta, LT Mainardi, R Sassi Physiol Meas 36 (4), 803-811, 2015 | 14 | 2015 |
| A methodological assessment of phase-rectified signal averaging through simulated beat-to-beat interval time series R Sassi, T Stampalija, D Casati, E Ferrazzi, A Bauer, MW Rivolta Computing in Cardiology 2014, 601-604, 2014 | 14 | 2014 |
| Explainable AI points to white matter hyperintensities for Alzheimer's disease identification: A preliminary study V Bordin, D Coluzzi, MW Rivolta, G Baselli 2022 44th Annual International Conference of the IEEE Engineering in …, 2022 | 13 | 2022 |
| Hybrid machine learning to localize atrial flutter substrates using the surface 12-lead electrocardiogram G Luongo, G Vacanti, V Nitzke, D Nairn, C Nagel, D Kabiri, TP Almeida, ... EP Europace 24 (7), 1186-1194, 2022 | 13 | 2022 |
| Automated cortical thickness and skewness feature selection in bipolar disorder using a semi-supervised learning method L Squarcina, TM Dagnew, MW Rivolta, M Bellani, R Sassi, P Brambilla Journal of affective disorders 256, 416-423, 2019 | 13 | 2019 |
