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Renata Levendovics
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2020 – today
- 2024
- [j4]Kristóf Takács, Eszter Lukács, Renáta Levendovics, Damján Pekli, Attila Szijarto, Tamás Haidegger:
Assessment of Surgeons' Stress Levels with Digital Sensors during Robot-Assisted Surgery: An Experimental Study. Sensors 24(9): 2915 (2024) - 2023
- [c5]Berta Mach, Renáta Nagyné Elek, Tamás Haidegger:
Recent Approaches in Laparoscopic Training Phantom Development - A Review. SISY 2023: 295-302 - [i1]Kristóf Takács, Renáta Nagyné Elek, Tamás Haidegger:
Image-Processing Based Methods to Improve the Robustness of Robotic Gripping. CoRR abs/2307.05648 (2023) - 2021
- [j3]Renáta Nagyné Elek, Tamás Haidegger:
Non-Technical Skill Assessment and Mental Load Evaluation in Robot-Assisted Minimally Invasive Surgery. Sensors 21(8): 2666 (2021) - [j2]Gábor Lajkó, Renáta Nagyné Elek, Tamás Haidegger:
Endoscopic Image-Based Skill Assessment in Robot-Assisted Minimally Invasive Surgery. Sensors 21(16): 5412 (2021) - 2020
- [c4]Renáta Nagyné Elek, Artúr István Károly, Tamás Haidegger, Péter Galambos:
Towards Optical Flow Ego-motion Compensation for Moving Object Segmentation. ROBOVIS 2020: 114-120 - [c3]Cecília Molnár, Tamás D. Nagy, Renáta Nagyné Elek, Tamás Haidegger:
Visual servoing-based camera control for the da Vinci Surgical System. SISY 2020: 107-112
2010 – 2019
- 2019
- [c2]Artúr István Károly, Renáta Nagyné Elek, Tamás Haidegger, Károly Széll, Péter Galambos:
Optical flow-based segmentation of moving objects for mobile robot navigation using pre-trained deep learning models. SMC 2019: 3080-3086 - 2018
- [j1]Dénes Ákos Nagy, Tamás Dániel Nagy, Renáta Nagyné Elek, Imre J. Rudas, Tamás Haidegger:
Ontology-Based Surgical Subtask Automation, Automating Blunt Dissection. J. Medical Robotics Res. 3(3-4): 1841005:1-1841005:9 (2018) - 2017
- [c1]Renáta Nagyné Elek, Tamás D. Nagy, Dénes Ákos Nagy, Bence Takács, Péter Galambos, Imre J. Rudas, Tamás Haidegger:
Robotic platforms for ultrasound diagnostics and treatment. SMC 2017: 1752-1757
Coauthor Index
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last updated on 2024-08-05 21:12 CEST by the dblp team
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