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Bálint Magyar
Bálint Magyar
Faculty of Information Technology and Bionics, Pázmány Péter Catholic University, Budapest, Hungary
在 itk.ppke.hu 的电子邮件经过验证 - 首页
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引用次数
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Deep Learning-Based Prediction of Right Ventricular Ejection Fraction Using 2D Echocardiograms
M Tokodi, B Magyar, A Soos, M Takeuchi, M Tolvaj, BK Lakatos, T Kitano, ...
JACC: Cardiovascular Imaging, 2023
292023
RVENet: A Large Echocardiographic Dataset for the Deep Learning-Based Assessment of Right Ventricular Function
B Magyar, M Tokodi, A Soós, M Tolvaj, BK Lakatos, A Fábián, E Surkova, ...
Computer Vision–ECCV 2022 Workshops: Tel Aviv, Israel, October 23–27, 2022 …, 2023
42023
Deep-learning based prediction of peak oxygen uptake in athletes using 2D echocardiographic videos
A Szijarto, M Tokodi, A Fabian, BK Lakatos, K Shiida, M Tolvaj, Z Eles, ...
European Heart Journal-Cardiovascular Imaging 24 (Supplement_1), jead119. 244, 2023
22023
Saliency Map Based Data Augmentation
J Al-Afandi, B Magyar, A Horváth
2022 26th International Conference on Pattern Recognition (ICPR), 4751-4757, 2022
12022
Masked Autoencoders for Medical Ultrasound Videos Using ROI-Aware Masking
Á Szijártó, B Magyar, TÁ Szeier, M Tolvaj, A Fábián, BK Lakatos, ...
International Workshop on Advances in Simplifying Medical Ultrasound, 167-176, 2024
2024
PRECISE ASSESSMENT OF BIVENTRICULAR EJECTION FRACTIONS THROUGH DEEP LEARNING ANALYSIS OF 2D ECHOCARDIOGRAPHIC VIDEOS FOR PROGNOSTIC SIGNIFICANCE
M Tokodi, A Szijártó, M Tolvaj, B Magyar, BK Lakatos, A Fabian, L Szávai, ...
Journal of the American College of Cardiology 83 (13_Supplement), 2437-2437, 2024
2024
Reply: Can Deep Learning Improve 2D Echocardiographic RV Assessment?: First Important Steps
M Tokodi, B Magyar, Á Szijártó, BK Lakatos, A Kovács
Cardiovascular Imaging 16 (12), 1636-1636, 2023
2023
Systems and methods for domain-specific enhancement of real-time models through edge-based learning
AE Csorgo, B Magyar, D Huszar, M Szabo, IS Horvath, A Horvath, ...
US Patent App. 17/224,858, 2022
2022
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