Yesim Serinagaoglu Dogrusöz
Orcid: 0000-0002-5926-644XAffiliations:
- Middle East Technical University
According to our database1,
Yesim Serinagaoglu Dogrusöz
authored at least 40 papers
between 2003 and 2023.
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Bibliography
2023
Graphical User Interface for the Computation and Visualization of the Cardiac Activation Times.
Proceedings of the 31st Signal Processing and Communications Applications Conference, 2023
Evaluation of Inverse Electrocardiography Solutions Based on Signal-Averaged Beats to Localize the Origins of Spontaneous Premature Ventricular Contractions in Humans.
Proceedings of the Functional Imaging and Modeling of the Heart, 2023
Two Approaches for Inverse PVC Localization from Clinical ECG Data Using Heart Surface Potentials.
Proceedings of the Computing in Cardiology, 2023
2022
A Novel Data-Adaptive Regression Framework Based on Multivariate Adaptive Regression Splines for Electrocardiographic Imaging.
IEEE Trans. Biomed. Eng., 2022
Bayesian MAP solution of the Inverse ECG problem with Sinus Rhythm Data: Evaluation of Simulated Training Sets.
Proceedings of the 30th Signal Processing and Communications Applications Conference, 2022
Variability of Premature Ventricular Contraction Localization with Respect to Source and Forward Model Variation in Clinical Data.
Proceedings of the Computing in Cardiology, 2022
2021
The Impact of Torso Signal Processing on Noninvasive Electrocardiographic Imaging Reconstructions.
IEEE Trans. Biomed. Eng., 2021
The effect of interpolating low amplitude leads on the inverse reconstruction of cardiac electrical activity.
Comput. Biol. Medicine, 2021
Electrocardiographic Imaging of Sinus Rhythm in Pig Hearts Using Bayesian Maximum A Posteriori Estimation.
Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021
Compensation of Model Errors in Electrocardiographic Imaging Using Bayesian Estimation.
Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021
2020
Performance of Tikhonov Regularization with Different Constraints in Electrocardiographic Imaging.
Proceedings of the 28th Signal Processing and Communications Applications Conference, 2020
Quality Assessment of ECG Signals Based on Support Vector Machines and Binary Decision Trees.
Proceedings of the 28th Signal Processing and Communications Applications Conference, 2020
Use of Simulated Data for the Estimation of Prior Models in Kalman Filter-Based ECGI.
Proceedings of the Computing in Cardiology, 2020
2019
Evaluation of multivariate adaptive non-parametric reduced-order model for solving the inverse electrocardiography problem: a simulation study.
Medical Biol. Eng. Comput., 2019
ML and MAP estimation of parameters for the Kalman filter and smoother applied to electrocardiographic imaging.
Medical Biol. Eng. Comput., 2019
Effects of Prior Data on the Inference and Filtering Based Electrocardiographic Imaging.
Proceedings of the 46th Computing in Cardiology, 2019
Proceedings of the 46th Computing in Cardiology, 2019
2018
False Positive Reduction in Lung Computed Tomography Images using Convolutional Neural Networks.
CoRR, 2018
Proceedings of the 26th Signal Processing and Communications Applications Conference, 2018
Effect of input size on the classification of lung nodules using convolutional neural networks.
Proceedings of the 26th Signal Processing and Communications Applications Conference, 2018
Proceedings of the 26th Signal Processing and Communications Applications Conference, 2018
False Ventricular-Fibrillation/Flutter Alarm Reduction of Patient Monitoring Systems in Intensive Care Units.
Proceedings of the 2018 IEEE International Symposium on Medical Measurements and Applications, 2018
Impact of Signal Preprocessing on the Inverse Localization of the Origin of Ventricular Pacing.
Proceedings of the Computing in Cardiology, 2018
Robustness of Reduced Order Nonparametric Model for Inverse ECG Solution Against Modeling and Measurement Noise.
Proceedings of the Computing in Cardiology, 2018
A Learning Based Statistical Approach for Combining Multiple Measurements in Electrocardiographic Imaging.
Proceedings of the Computing in Cardiology, 2018
Reduction of Effects of Noise on the Inverse Problem of Electrocardiography With Bayesian Estimation.
Proceedings of the Computing in Cardiology, 2018
Proceedings of the Computing in Cardiology, 2018
2017
Reducing False Arrhythmia Alarms of Patient Monitoring Systems in the Intensive Care Units.
Proceedings of the Computing in Cardiology, 2017
Proceedings of the Computing in Cardiology, 2017
2015
Conceptual Design and Evaluation of a Multichannel ECG Data Acquisition Device.
Proceedings of the BIOSIGNALS 2015, 2015
2013
Genetic algorithm-based regularization parameter estimation for the inverse electrocardiography problem using multiple constraints.
Medical Biol. Eng. Comput., 2013
2012
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012
2011
A Kalman filter-based approach to reduce the effects of geometric errors and the measurement noise in the inverse ECG problem.
Medical Biol. Eng. Comput., 2011
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011
Use of genetic algorithm for selection of regularization parameters in multiple constraint inverse ECG problem.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011
2009
Imaging the Electrical Activity of the Heart Using a Kalman Filter Based Approach: Comparison of Results Using Different STM'S.
Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009
Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009
2006
Improved Performance of Bayesian Solutions for Inverse Electrocardiography Using Multiple Information Sources.
IEEE Trans. Biomed. Eng., 2006
2005
IEEE Trans. Biomed. Eng., 2005
2003
A Bayesian approach to inclusion and performance analysis of using extra information in bioelectric inverse problems.
Proceedings of the 2003 International Conference on Image Processing, 2003