Jakub Hejc
Orcid: 0000-0001-5743-9960
According to our database1,
Jakub Hejc
authored at least 22 papers
between 2015 and 2024.
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Bibliography
2024
Metody hlubokého učení pro segmentaci elektrokardiografických signálů ; Segmentation of Electrocardiographic Signals Using Deep Learning Methods.
PhD thesis, 2024
Multi-channel delineation of intracardiac electrograms for arrhythmia substrate analysis using implicitly regularized convolutional neural network with wide receptive field.
Biomed. Signal Process. Control., 2024
2023
Weakly Supervised P Wave Segmentation in Pathological Electrocardiogram Signals Using Deep Multiple-Instance Learning.
Proceedings of the Computing in Cardiology, 2023
Epycon: A Single-Platform Python Package for Parsing and Converting Raw Electrophysiology Data into Open Formats.
Proceedings of the Computing in Cardiology, 2023
2022
Arrhythmia Database with Annotated Intracardial Atrial Signals from Pediatric Patients Undergoing Catheter Ablation.
Proceedings of the Computing in Cardiology, 2022
A New Filtering Method for Smoothing Intracardiac Records Preserving the Steepness of A, V, H Waves.
Proceedings of the Computing in Cardiology, 2022
Exercise-based Predictors of Late Recurrence of Atrial Fibrillation After Catheter Ablation.
Proceedings of the Computing in Cardiology, 2022
2021
Cardiac Abnormalities Recognition in ECG Using a Convolutional Network with Attention and Input with an Adaptable Number of Leads.
Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021
Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021
Deep-Learning Premature Contraction Localization Using Gaussian Based Predicted Data.
Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021
Segmentation of Atrial Electrical Activity in Intracardiac Electrograms (IECGs) Using Convolutional Neural Network (CNN) Trained on Small Imbalanced Dataset.
Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021
2020
ECG Abnormalities Recognition Using Convolutional Network With Global Skip Connections and Custom Loss Function.
Proceedings of the Computing in Cardiology, 2020
Deep-Learning Premature Contraction Localization in 12-lead ECG From Whole Signal Annotations.
Proceedings of the Computing in Cardiology, 2020
2019
Sepsis Detection in Sparse Clinical Data Using Long Short-Term Memory Network with Dice Loss.
Proceedings of the 46th Computing in Cardiology, 2019
2018
Optical Mapping Could Reveal Two-Dimensional Morphology of Atrioventricular Electrical Insulation in the Foetal Avian Heart.
Proceedings of the Computing in Cardiology, 2018
2017
SVM Based ECG Classification Using Rhythm and Morphology Features, Cluster Analysis and Multilevel Noise Estimation.
Proceedings of the Computing in Cardiology, 2017
Analysis of Hemodynamic Related Changes in High Frequency Content of QRS Complex in Working Isolated Rabbit Heart.
Proceedings of the Computing in Cardiology, 2017
The Effect of Haloperidol Administration on Heart Rate Variability in Isolated Heart of Schizophrenia-like and Control Rats.
Proceedings of the Computing in Cardiology, 2017
2016
Proceedings of the Computing in Cardiology, CinC 2016, Vancouver, 2016
Response of Ventricular Repolarization Parameters to Preload Changes in Isolated Working Heart.
Proceedings of the Computing in Cardiology, CinC 2016, Vancouver, 2016
2015
The Effect of Voltage-Sensitive Dye di-4-ANEPPS on Heart Rate Variability in Langendorff- Perfused Isolated Rabbit Heart.
Proceedings of the Computing in Cardiology, 2015
The Effect of Heart Orientation on High Frequency QRS Components in Multiple Bandwidths.
Proceedings of the Computing in Cardiology, 2015