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pro vyhledávání: '"Younis Rayan"'
Publikováno v:
Current Directions in Biomedical Engineering, Vol 10, Iss 1, Pp 41-44 (2024)
Robotic assistance systems are being used more and more frequently in the operating room, with the goal to support surgeons and to automate parts of a procedure. The laparoscopic cholecystectomy is one of the most common procedures in Germany.We aim
Externí odkaz:
https://doaj.org/article/48024cbd4d434858a7b59dcc48cf3d5b
Autor:
Schüßler Alexander, Younis Rayan, Paik Jamie, Wagner Martin, Mathis-Ullrich Franziska, Kunz Christian
Publikováno v:
Current Directions in Biomedical Engineering, Vol 10, Iss 2, Pp 95-98 (2024)
Training and prototype development in robotassisted surgery requires appropriate and safe environments for the execution of surgical procedures. Current dry lab laparoscopy phantoms often lack the ability to mimic complex, interactive surgical tasks.
Externí odkaz:
https://doaj.org/article/63c17b9f416b412db47372acf92313b6
Autor:
Kunz Christian, Maierhofer Pascal, Gyenes Balázs, Franke Nikolai, Younis Rayan, Müller-Stich Beat-Peter, Wagner Martin, Mathis-Ullrich Franziska
Publikováno v:
Current Directions in Biomedical Engineering, Vol 8, Iss 1, Pp 54-57 (2022)
Minimally invasive surgery is the standard for many abdominal interventions, with an increasing use of telemanipulated robots. As collaborative robots enter the field of medical interventions, their intuitive control needs to be addressed. Augmented
Externí odkaz:
https://doaj.org/article/908dcb92fbef4fa0b61644e96cfa8af5
Autor:
Schuessler, Alexander, Younis, Rayan, Paik, Jamie, Wagner, Martin, Mathis-Ullrich, Franziska, Kunz, Christian
Training and prototype development in robot-assisted surgery requires appropriate and safe environments for the execution of surgical procedures. Current dry lab laparoscopy phantoms often lack the ability to mimic complex, interactive surgical tasks
Externí odkaz:
http://arxiv.org/abs/2409.03535
LapGym -- An Open Source Framework for Reinforcement Learning in Robot-Assisted Laparoscopic Surgery
Autor:
Scheikl, Paul Maria, Gyenes, Balázs, Younis, Rayan, Haas, Christoph, Neumann, Gerhard, Wagner, Martin, Mathis-Ullrich, Franziska
Recent advances in reinforcement learning (RL) have increased the promise of introducing cognitive assistance and automation to robot-assisted laparoscopic surgery (RALS). However, progress in algorithms and methods depends on the availability of sta
Externí odkaz:
http://arxiv.org/abs/2302.09606
Autor:
Alt, Benjamin, Kunz, Christian, Katic, Darko, Younis, Rayan, Jäkel, Rainer, Müller-Stich, Beat Peter, Wagner, Martin, Mathis-Ullrich, Franziska
The semantic segmentation of surgical scenes is a prerequisite for task automation in robot assisted interventions. We propose LapSeg3D, a novel DNN-based approach for the voxel-wise annotation of point clouds representing surgical scenes. As the man
Externí odkaz:
http://arxiv.org/abs/2207.07418
Autor:
Scheikl, Paul Maria, Gyenes, Balázs, Davitashvili, Tornike, Younis, Rayan, Schulze, André, Müller-Stich, Beat P., Neumann, Gerhard, Wagner, Martin, Mathis-Ullrich, Franziska
Cognitive cooperative assistance in robot-assisted surgery holds the potential to increase quality of care in minimally invasive interventions. Automation of surgical tasks promises to reduce the mental exertion and fatigue of surgeons. In this work,
Externí odkaz:
http://arxiv.org/abs/2110.04857
Akademický článek
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