Mikhail Chmelevsky

According to our database1, Mikhail Chmelevsky authored at least 14 papers between 2018 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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PhD thesis 
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Links

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Bibliography

2023
A Machine Learning-Based Approach for Automatic Coronary Sinus Vein Segmentation and Anatomy Reconstruction.
Proceedings of the Computing in Cardiology, 2023

An Algorithm for Non-Invasive Mapping Based on Cardiac Anatomy and 12-Lead Electrocardiogram Data.
Proceedings of the Computing in Cardiology, 2023

Development of a Novel Machine Learning-based Methodology for the Differential Diagnosis of Wide QRS Complex Arrhythmias Using Automated Analysis of 12-Lead ECG.
Proceedings of the Computing in Cardiology, 2023

Differential Diagnosis of Wide QRS Complex Arrhythmias Using a Novel Slow Conduction Index Algorithm.
Proceedings of the Computing in Cardiology, 2023

An Ensemble of Machine Learning Models for Multilabel Classification of Cardiovascular Diseases by ECGs.
Proceedings of the Computing in Cardiology, 2023

An Automated Algorithm for Generating of AHA Model Based on 3D Heart Geometry.
Proceedings of the Computing in Cardiology, 2023

2019
Noninvasive Electrocardiographic Imaging with Magnetic Resonance Tomography in Candidates for Cardiac Resynchronization Therapy.
Proceedings of the 46th Computing in Cardiology, 2019

Single-Layer Based Algorithms for Solving the Inverse Problem of ECG.
Proceedings of the 46th Computing in Cardiology, 2019

Noninvasive Electrocardiographic Imaging Diagnosis Of Brugada Syndrome.
Proceedings of the 46th Computing in Cardiology, 2019

Comparison of CARTO LAT Maps and Non-Invasive Activation Maps for Patients with Intraventricular Conduction Disturbance During Sinus Rhythm.
Proceedings of the 46th Computing in Cardiology, 2019

2018
Comparison of Left Ventricle Late Activation Zones Determined Using Noninvasive Electrophysiological Mapping With Sequential CT and MRI.
Proceedings of the Computing in Cardiology, 2018

Evaluation of ECGI Localization Accuracy for Single Pacings in CRT Patients.
Proceedings of the Computing in Cardiology, 2018

Clinical Evaluation of Noninvasive ECGI Epi-Endocardial Mapping Accuracy.
Proceedings of the Computing in Cardiology, 2018

Validation of Noninvasive Electrophysiological Mapping Accuracy Using Endocardial Pacing With Three-Dimensional Nonfluoroscopic Electroanatomic Mapping.
Proceedings of the Computing in Cardiology, 2018


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