Get started
Author

Michał Glaza

Observed name: Michal Glaza
Observed institution: Szpital św. Wincentego a Paulo
ORCID: 0000-0002-1103-2943
Observed ORCID: 0000-0002-1103-2943
OpenAlex ID: A5047602762
Catheter-induced coronary artery and aortic dissections. A study of mechanisms, risk factors and propagation causes
2022 · Jacek Klaudel, Michał Glaza, et al. · Cardiology Journal · 20
PDF
Analysis of reported cases of left main coronary artery injury during catheter ablation: In search of a pattern
2018 · Jacek Klaudel, Wojciech Trenkner, et al. · Journal of Cardiovascular Electrophysiology · 13
Forewarned Is Forearmed: Machine Learning Algorithms for the Prediction of Catheter-Induced Coronary and Aortic Injuries
2022 · Jacek Klaudel, Barbara Klaudel, et al. · International Journal of Environmental Research and Public Health · 7
PDF
Delayed presentation of left main coronary artery dissection due to catheter ablation in a patient with bicuspid aortic valve. Coincidence or manifestation of inherent vulnerability?
2020 · Jacek Klaudel, Michal Glaza, et al. · Journal of Cardiology Cases · 1
Wskaźniki martwicy miokardium w praktyce klinicznej - aktualny stan wiedzy
2005 · Anna Frankiewicz, Michał Glaza, et al. · Via Medica Journals · 1
PDF
Covered Stent Herniation into Coronary Aneurysm Sac—A Case-Inspired Review of Neurointerventional Realignment Techniques
2023 · Jacek Klaudel, Piotr Radowski, et al. · Journal of Vascular Diseases
PDF
Predictors of Catheter-Induced Coronary and Aortic Dissections: A Machine Learning Approach
2023 · Barbara Klaudel, Jacek Klaudel, et al. · Cardiovascular revascularization medicine
CRT-100.46 Predictors of Catheter-Induced Coronary and Aortic Dissections: A Machine Learning Approach
2023 · Barbara Klaudel, Jacek Klaudel, et al. · JACC: Cardiovascular Interventions
Prevention of contrastinduced nephropathy in patients after percutaneous coronary intervention: A single-center prospective study
2018 · Michal Glaza, Boleslaw Rutkowski, et al. · Clinical Nephrology
Works count: 9
Citation count: 42
H-index: 3
I10-index: 2
Year
Topic
Type