Zoltán Tősér
Zoltán Tősér
CEO, Argus Cognitive, Inc.
Verified email at - Homepage
Cited by
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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
Deep learning for facial action unit detection under large head poses
Z Tősér, LA Jeni, A Lőrincz, JF Cohn
European Conference on Computer Vision, 359-371, 2016
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
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, 24, 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
International Symposium on Pervasive Computing Paradigms for Mental Health …, 2015
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
The cyber-physical system approach towards artificial general intelligence: the problem of verification
Z Tősér, A Lőrincz
International Conference on Artificial General Intelligence, 373-383, 2015
Personalization of gaze direction estimation with deep learning
Z Tősér, RA Rill, K Faragó, LA Jeni, A Lőrincz
Joint German/Austrian Conference on Artificial Intelligence (Künstliche …, 2016
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, 87, 2021
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, ...
Joint German/Austrian Conference on Artificial Intelligence (Künstliche …, 2016
Estimating cartesian compression via deep learning
A Lőrincz, A Sárkány, ZA Milacski, Z Tősér
International Conference on Artificial General Intelligence, 294-304, 2016
Towards entertaining and efficient educational games
A Lorincz, G Molnár, LA Jeni, Z Tosér, A Rausch, JF Cohn, B Csapó
NIPS Workshop on Data Driven Education, 2013
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
Competing Approaches to Defining Right Ventricular Motion Directions in Three Dimensions: A Pressing Need for Standardization?
M Tokodi, BK Lakatos, Z Tősér, B Merkely, M Takeuchi, A Kovács
Journal of the American Society of Echocardiography 34 (2), 203-205, 2021
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