Valentina D. A. Corino
Orcid: 0000-0003-1825-0422
According to our database1,
Valentina D. A. Corino
authored at least 49 papers
between 2006 and 2023.
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Bibliography
2023
Combining deep learning and machine learning for the automatic identification of hip prosthesis failure: Development, validation and explainability analysis.
Int. J. Medical Informatics, August, 2023
Atrial fibrillation episode patterns as predictor of clinical outcome of catheter ablation.
Medical Biol. Eng. Comput., February, 2023
Proceedings of the Computing in Cardiology, 2023
2022
Refining Tumor Treatment in Sinonasal Cancer Using Delta Radiomics of Multi-Parametric MRI after the First Cycle of Induction Chemotherapy.
J. Imaging, 2022
Proceedings of the Computing in Cardiology, 2022
Detection of Short Supraventricular Tachycardias in Single-lead ECGs Recorded Using a Handheld Device.
Proceedings of the Computing in Cardiology, 2022
2021
Poincaré Plot Image and Rhythm-Specific Atlas for Atrial Bigeminy and Atrial Fibrillation Detection.
IEEE J. Biomed. Health Informatics, 2021
Atrial Fibrillatory Rate Characterization Extracted from Implanted Cardiac Monitor Data.
Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021
Effect of Ischemia on the Spatial Heterogeneity of Ventricular Repolarization: a Simulation Study.
Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021
Ensemble Learning of Modified Residual Networks for Classifying ECG with Different Set of Leads.
Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021
A Poincaré Image-Based Detector of ECG Segments Containing Atrial and Ventricular Beats.
Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021
Impacts of Cellular Electrophysiological Variability on Conduction Velocity Within Isolated Tissue and Depolarization and Repolarization Across the Whole Atrial Model.
Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021
2020
Assessment of spatial heterogeneity of ventricular repolarization after multi-channel blocker drugs in healthy subjects.
Comput. Methods Programs Biomed., 2020
Unsupervised Classification of Atrial Fibrillation Triggers Using Heart Rate Variability Features Extracted from Implantable Cardiac Monitor Data.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
Atrial fibrillation detection using photoplethysmographic signal: the effect of the observation window.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
Methodology and technology for the development of a prognostic MRI-based radiomic model for the outcome of head and neck cancer patients.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
Beat-to-beat P-wave Variability Increases From Paroxysmal to Persistent Atrial Fibrillation.
Proceedings of the Computing in Cardiology, 2020
Proceedings of the Computing in Cardiology, 2020
2019
Assessment of the effect of intensity standardization on the reliability of T1-weighted MRI radiomic features: experiment on a virtual phantom.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
Assessment of the Effect of Fibrillatory Waves in the Analysis of Spatial Heterogeneity of Ventricular Repolarization.
Proceedings of the 46th Computing in Cardiology, 2019
Proceedings of the 46th Computing in Cardiology, 2019
An In-Silico Study of the Effects of Conductance Variation on the Regionally Based Action Potential Morphology.
Proceedings of the 46th Computing in Cardiology, 2019
2018
Assessment of Stability and Discrimination Capacity of Radiomic Features on Apparent Diffusion Coefficient Images.
J. Digit. Imaging, 2018
Use of apparent diffusion coefficient images to predict response to induction chemotherapy in sinonasal cancer.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018
2017
Stability assessment of first order statistics features computed on ADC maps in soft-tissue sarcoma.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017
Preliminary Results from Clinical Validation Study of a Method for Non-Invasive Assessment of Atrioventricular Node Refractoriness During Atrial Fibrillation.
Proceedings of the Computing in Cardiology, 2017
Assessment of Spatial Heterogeneity of Ventricular Repolarization after Quinidine in Healthy Subjects.
Proceedings of the Computing in Cardiology, 2017
Proceedings of the Computing in Cardiology, 2017
2016
A Statistical Atrioventricular Node Model Accounting for Pathway Switching During Atrial Fibrillation.
IEEE Trans. Biomed. Eng., 2016
Proceedings of the Computing in Cardiology, CinC 2016, Vancouver, 2016
2015
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015
Proceedings of the Computing in Cardiology, 2015
A Statistical Model of the Dual Pathway Atrioventricular Node during Atrial Fibrillation.
Proceedings of the Computing in Cardiology, 2015
2014
Modification of Atrioventricular Node Conduction Increases RR Variability but not RR Irregularity in Atrial Fibrillation Patients.
Proceedings of the Computing in Cardiology, CinC 2014, 2014
Non-invasive Evaluation of the Effect of Metoprolol on the Atrioventricular Node during Permanent Atrial Fibrillation.
Proceedings of the Computing in Cardiology, CinC 2014, 2014
2013
Atrioventricular nodal function during atrial fibrillation: Model building and robust estimation.
Biomed. Signal Process. Control., 2013
Statistical modeling of the atrioventricular node during atrial fibrillation: Data length and estimator performance.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013
Proceedings of the Computing in Cardiology, 2013
Spectral Analysis of Blood Pressure Variability in Atrial Fibrillation: the Effect of Tilting.
Proceedings of the Computing in Cardiology, 2013
Modification of Atrioventricular Node Conduction Increases RR Variability but not RR Irregularity nor Atrial Fibrillation Rate in Atrial Fibrillation Patients.
Proceedings of the Computing in Cardiology, 2013
Statistical Modeling of Atrioventricular Nodal Function During Atrial Fibrillation Focusing on the Refractory Period Estimation.
Proceedings of the Biomedical Engineering Systems and Technologies, 2013
Statistical Modeling of Atrioventricular Nodal Function during Atrial Fibrillation - An Update.
Proceedings of the BIOSIGNALS 2013, 2013
2011
An Atrioventricular Node Model for Analysis of the Ventricular Response During Atrial Fibrillation.
IEEE Trans. Biomed. Eng., 2011
2010
On the reliability of frequency components in systolic arterial pressure in patients with atrial fibrillation.
Medical Biol. Eng. Comput., 2010
2008
Improved Time-Frequency Analysis of Atrial Fibrillation Signals Using Spectral Modeling.
IEEE Trans. Biomed. Eng., 2008
2006
Comput. Methods Programs Biomed., 2006
Signal processing methods for information enhancement in atrial fibrillation: Spectral analysis and non-linear parameters.
Biomed. Signal Process. Control., 2006