Zoltán Tősér
Zoltán Tősér
CEO, Argus Cognitive, Inc.
Verified email at - Homepage
Cited by
Cited by
Machine learning-based mortality prediction of patients undergoing cardiac resynchronization therapy: the SEMMELWEIS-CRT score
M Tokodi, WR Schwertner, A Kovács, Z Tősér, L Staub, A Sárkány, ...
European heart journal 41 (18), 1747-1756, 2020
Quantification of the relative contribution of the different right ventricular wall motion components to right ventricular ejection fraction: the ReVISION method
B Lakatos, Z Tősér, M Tokodi, A Doronina, A Kosztin, D Muraru, ...
Cardiovascular Ultrasound 15 (1), 1-9, 2017
Importance of Nonlongitudinal Motion Components in Right Ventricular Function: Three-Dimensional Echocardiographic Study in Healthy Volunteers
BK Lakatos, Y Nabeshima, M Tokodi, Y Nagata, Z Tősér, K Otani, T Kitano, ...
Journal of the American Society of Echocardiography 33 (8), 995-1005. e1, 2020
Deep learning for facial action unit detection under large head poses
Z Tősér, LA Jeni, A Lőrincz, JF Cohn
Computer Vision–ECCV 2016 Workshops: Amsterdam, The Netherlands, October 8 …, 2016
Exercise-induced shift in right ventricular contraction pattern: novel marker of athlete’s heart?
BK Lakatos, O Kiss, M Tokodi, Z Tősér, N Sydó, G Merkely, M Babity, ...
American Journal of Physiology-Heart and Circulatory Physiology 315 (6 …, 2018
Dominance of free wall radial motion in global right ventricular function of heart transplant recipients
BK Lakatos, M Tokodi, A Assabiny, Z Tősér, A Kosztin, A Doronina, ...
Clinical transplantation 32 (3), e13192, 2018
LabelMovie: Semi-supervised machine annotation tool with quality assurance and crowd-sourcing options for videos
Z Palotai, M Láng, A Sárkány, Z Tősér, D Sonntag, T Toyama, A Lőrincz
2014 12th International Workshop on Content-Based Multimedia Indexing (CBMI …, 2014
Right ventricular mechanical pattern in patients undergoing mitral valve surgery: a predictor of post‐operative dysfunction?
M Tokodi, E Németh, BK Lakatos, E Kispál, Z Tősér, L Staub, K Rácz, ...
ESC heart failure 7 (3), 1246-1256, 2020
Partitioning the right ventricle into 15 segments and decomposing its motion using 3D echocardiography-based models: the updated ReVISION method
M Tokodi, L Staub, Á Budai, BK Lakatos, M Csákvári, FI Suhai, L Szabó, ...
Frontiers in Cardiovascular Medicine 8, 622118, 2021
Maintain and improve mental health by smart virtual reality serious games
A Sárkány, Z Tősér, AL Verő, A Lőrincz, T Toyama, EN Toosi, D Sonntag
Pervasive Computing Paradigms for Mental Health: 5th International …, 2016
Towards reasoning based representations: Deep Consistence Seeking Machine
A Lőrincz, M Csákvári, Á Fóthi, ZÁ Milacski, A Sárkány, Z Tősér
Cognitive Systems Research 47, 92-108, 2018
Sex-specific patterns of mortality predictors among patients undergoing cardiac resynchronization therapy: a machine learning approach
M Tokodi, A Behon, ED Merkel, A Kovács, Z Tősér, A Sárkány, M Csákvári, ...
Frontiers in cardiovascular medicine 8, 611055, 2021
The cyber-physical system approach towards artificial general intelligence: the problem of verification
Z Tősér, A Lőrincz
Artificial General Intelligence: 8th International Conference, AGI 2015, AGI …, 2015
Personalization of gaze direction estimation with deep learning
Z Tősér, RA Rill, K Faragó, LA Jeni, A Lőrincz
KI 2016: Advances in Artificial Intelligence: 39th Annual German Conference …, 2016
Towards entertaining and efficient educational games
A Lőrincz, G Molnár, AJ László, Z Tősér, A Rausch, JF Cohn, B Csapó
Neural Information Processing Systems Foundation, 2013
Estimating cartesian compression via deep learning
A Lőrincz, A Sárkány, ZÁ Milacski, Z Tősér
Artificial General Intelligence: 9th International Conference, AGI 2016, New …, 2016
Model based augmentation and testing of an annotated hand pose dataset
R Bellon, Y Choi, N Ekker, V Lepetit, LM Olasz, D Sonntag, Z Tősér, K Yoo, ...
KI 2016: Advances in Artificial Intelligence: 39th Annual German Conference …, 2016
Cost and risk sensitive decision making and control for highway overtaking maneuver
A Mihály, ZÁ Milacski, Z Tősér, A Lőrincz, T Tettamanti, I Varga
2015 International conference on models and technologies for intelligent …, 2015
Cognitive deep machine can train itself
A Lőrincz, M Csákvári, Á Fóthi, ZÁ Milacski, A Sárkány, Z Tősér
arXiv preprint arXiv:1612.00745, 2016
Assessment of right ventricular mechanics by 3D transoesophageal echocardiography in the early phase of ARDS
B Evrard, BK Lakatos, M Goudelin, Z Tősér, B Merkely, P Vignon, ...
Frontiers in Cardiovascular Medicine, 1125, 2022
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