MUDr. Martin Pešl, Ph.D.
Assistant professor, Vladimír Rotrekl Research Group
Office: bldg. C03/114
Kamenice 753/5
625 00 Brno
Phone: | +420 549 49 4781 |
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E‑mail: |
social and academic networks: |
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Total number of publications: 230
2021
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Cellular pathology of the human heart in Duchenne muscular dystrophy (DMD): lessons learned from in vitro modeling
PFLUGERS ARCHIV-EUROPEAN JOURNAL OF PHYSIOLOGY, year: 2021, volume: 473, edition: 7, DOI
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Decreased Global Strains of LV in Asymptomatic Female Duchenne Muscular Dystrophy Gene Carriers Using CMR-FT
JACC: Cardiovascular Imaging, year: 2021, volume: 14, edition: 5, DOI
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Numerical Modeling of Electroporation Process Using Endocardial Catheter
8th European Medical and Biological Engineering Conference. EMBEC 2020. IFMBE Proceedings, edition: Vyd. 80, year: 2021, number of pages: 9 s.
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Open House Brno 2021 hybridní
Year: 2021, type: Popularization text
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Oxygen Is an Ambivalent Factor for the Differentiation of Human Pluripotent Stem Cells in Cardiac 2D Monolayer and 3D Cardiac Spheroids
International Journal of Molecular Sciences, year: 2021, volume: 22, edition: 2, DOI
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Quantitative assessment of left ventricular longitudinal function and myocardial deformation in Duchenne muscular dystrophy patients
Orphanet Journal of Rare Diseases, year: 2021, volume: 16, edition: 1, DOI
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REGISTRY OF ACHONDROPLASIA 2015–2021
Year: 2021, type: Conference abstract
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Role of oxygen exposure on the differentiation of human induced pluripotent stem cells in 2D and 3D cardiac organoids
Year: 2021, type: Conference abstract
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Segmentation of Atrial Electrical Activity in Intracardiac Electrograms (IECGs) Using Convolutional Neural Network (CNN) Trained on Small Imbalanced Dataset
2021 Computing in Cardiology (CinC), year: 2021
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Segmentation of Atrial Electrical Activity in Intracardiac Electrograms (IEGs) using Convolutional Neural Network (CNN) Trained on Small Imbalanced Dataset
Year: 2021, type: Appeared in Conference without Proceedings