Publikationen
2023
Christian
Janorschke,
Jingyang
Xie,
Xinyu
Lu,
Melanie
Grehn,
Oliver
Blanck, and
Achim
Schweikard,
Landmark-Based Generation of Common Ultrasound Views and 17-Segment Model from Cardiac Computed Tomography, Current Directions in Biomedical Engineering , vol. 9, no. 1, pp. 61-64, 2023.
Landmark-Based Generation of Common Ultrasound Views and 17-Segment Model from Cardiac Computed Tomography, Current Directions in Biomedical Engineering , vol. 9, no. 1, pp. 61-64, 2023.
DOI: | 10.1515/cdbme-2023-1016 |
Datei: | cdbme-2023-1016 |
Daniel
Wulff,
Jannis
Hagenah, and
Floris
Ernst,
Landmark tracking in 4D ultrasound using generalized representation learning, Int J CARS , vol. 18, pp. 493-500, 2023.
Landmark tracking in 4D ultrasound using generalized representation learning, Int J CARS , vol. 18, pp. 493-500, 2023.
Susann
Kriebisch,
Ralf
Bruder, and
Floris
Ernst,
Generation of 3D models of victims within their surroundings at rescue sites, De Gruyter, 2023.
Generation of 3D models of victims within their surroundings at rescue sites, De Gruyter, 2023.
Jens
Eichmann,
Ralf
Bruder,
Alexander
Miller,
Maria
Henke,
Alexander
Lel,
Stefan
Grobelny,
Christoph
Röhrig, and
Kevin
Daun,
DIN SPEC 91477-2 Robotersysteme für den Einsatz in Schadenslagen -- Teil 2: Anforderungen an Roboter in der Brandbekämpfung., .... Beuth Verlag, 2023.
DIN SPEC 91477-2 Robotersysteme für den Einsatz in Schadenslagen -- Teil 2: Anforderungen an Roboter in der Brandbekämpfung., .... Beuth Verlag, 2023.
Jens
Eichmann,
Stefan
Grobelny,
Alexander
Lel,
Ralf
Bruder,
Alexander
Miller,
Maria
Henke,
Christoph
Röhrig, and
Hartmut
Surmann,
DIN SPEC 91477-1 Robotersysteme für den Einsatz in Schadenslagen -- Teil 1: Allgemeine Anforderungen., .... Beuth Verlag, 2023.
DIN SPEC 91477-1 Robotersysteme für den Einsatz in Schadenslagen -- Teil 1: Allgemeine Anforderungen., .... Beuth Verlag, 2023.
Harsh
Yadav,
Honghu
Xue,
Yan
Rudall,
Mohamed
Bakr,
Benedikt
Hein,
Elmar
Rueckert, and
Ngoc Thinh
Nguyen,
Deep Reinforcement Learning for Mapless Navigation of Autonomous Mobile Robot, in 2023 27th International Conference on System Theory, Control and Computing (ICSTCC) , 2023. pp. 283-288.
Deep Reinforcement Learning for Mapless Navigation of Autonomous Mobile Robot, in 2023 27th International Conference on System Theory, Control and Computing (ICSTCC) , 2023. pp. 283-288.
DOI: | 10.1109/ICSTCC59206.2023.10308456 |
Ngoc Thinh
Nguyen,
Pranav Tej
Gangavarapu, and
Floris
Ernst,
B-Spline-to-Bézier Conversion and Applications on Path Planning, in 2023 9th International Conference on Control, Decision and Information Technologies (CoDIT) , 2023. pp. 2643-2648.
B-Spline-to-Bézier Conversion and Applications on Path Planning, in 2023 9th International Conference on Control, Decision and Information Technologies (CoDIT) , 2023. pp. 2643-2648.
DOI: | 10.1109/CoDIT58514.2023.10284439 |
Hauke
Budig,
Bernd
Kiefer,
Floris
Ernst,
Ralf
Bruder, and
Holger
Schwegmann,
Automatic Glasgow Coma Score Determination for Mobile Robots, De Gruyter, 2023.
Automatic Glasgow Coma Score Determination for Mobile Robots, De Gruyter, 2023.
Felix
Haxthausen,
Christoph
Rüger,
Malte Maria
Sieren,
Roman
Kloeckner, and
Floris
Ernst,
Augmenting Image-Guided Procedures through In Situ Visualization of 3D Ultrasound via a Head-Mounted Display, Sensors , vol. 23, no. 4, pp. 2168, 2023.
Augmenting Image-Guided Procedures through In Situ Visualization of 3D Ultrasound via a Head-Mounted Display, Sensors , vol. 23, no. 4, pp. 2168, 2023.
DOI: | 10.3390/s23042168 |
Datei: | Dateilink |
2022
Niclas
Bockelmann,
Daniel
Schetelig,
M.
Bonsanto,
Steffen
Buschschlüter, and
Floris
Ernst,
Intelligent ultrasonic-aspirator for CNS/ tumor tissue differentiation -- a feasibility study using machine learning, Köln , 2022.
Intelligent ultrasonic-aspirator for CNS/ tumor tissue differentiation -- a feasibility study using machine learning, Köln , 2022.
DOI: | 10.3205/22dgnc188 |
Datei: | 22dgnc188 |
Honghu
Xue,
Benedikt
Hein,
Bakr
Mohamed,
Georg
Schildbach,
Bengt
Abel, and
Elmar
Rueckert,
Using Deep Reinforcement Learning with Automatic Curriculum Learning for Mapless Navigation in Intralogistics, Applied Sciences special issue "Intelligent Robotics" , vol. 12, no. 6, pp. 3153, 2022.
Using Deep Reinforcement Learning with Automatic Curriculum Learning for Mapless Navigation in Intralogistics, Applied Sciences special issue "Intelligent Robotics" , vol. 12, no. 6, pp. 3153, 2022.
Jonas
Osburg,
Kuhlemann
Ivo,
Jannis
Hagenah, and
Floris
Ernst,
Using Deep Neural Networks to Improve Contact Wrench Estimation of Serial Robotic Manipulators in Static Tasks, Frontiers in Robotics and AI , vol. 9, 2022.
Using Deep Neural Networks to Improve Contact Wrench Estimation of Serial Robotic Manipulators in Static Tasks, Frontiers in Robotics and AI , vol. 9, 2022.
Datei: | full |
Felix
Haxthausen,
Alicia
Pose-Díez-de-la-Lastra,
Rafael
Moreta-Martinez,
Javier
Pascau, and
Floris
Ernst,
UltrARsound: In-situ visualisation of live ultrasound images using HoloLens 2, International Journal of Computer Assisted Radiology and Surgery , 2022.
UltrARsound: In-situ visualisation of live ultrasound images using HoloLens 2, International Journal of Computer Assisted Radiology and Surgery , 2022.
DOI: | 10.1007/s11548-022-02695-z |
Datei: | s11548-022-02695-z |
Stefanie
Ehrbar,
Melanie
Grehn,
Jens
Fleckenstein,
Wolfgang W.
Baus,
Frank-Andre
Siebert,
Achim
Schweikard,
Michael C.
Mayinger,
N.
Andratschke,
Judit
Boda-Heggemann,
Daniel
Buergy,
Eren
Celik,
David
Krug,
Ardan M.
Saguner,
Boris
Rudic,
Leif‐Hendrik
Boldt,
Annina
Stauber,
Adrian
Zaman,
Hendrik
Bonnemeier,
Jürgen
Dunst,
Volker
Budach, and
Oliver
Blanck,
Treatment Planning for Cardiac Radioablation: Multicenter Multiplatform Benchmarking for the XXX Trial (to appear), International Journal of Radiation Oncology*Biology*Physics , 2022.
Treatment Planning for Cardiac Radioablation: Multicenter Multiplatform Benchmarking for the XXX Trial (to appear), International Journal of Radiation Oncology*Biology*Physics , 2022.
Niclas
Bockelmann,
Daniel
Schetelig,
Denise
Kesslau,
Steffen
Buschschlüter,
Floris
Ernst, and
M.
Bonsanto,
Toward intraoperative tissue classification: exploiting signal feedback from an ultrasonic aspirator for brain tissue differentiation, International Journal of Computer Assisted Radiology and Surgery , 2022.
Toward intraoperative tissue classification: exploiting signal feedback from an ultrasonic aspirator for brain tissue differentiation, International Journal of Computer Assisted Radiology and Surgery , 2022.
DOI: | 10.1007/s11548-022-02713-0 |
Datei: | s11548-022-02713-0 |
Maryam
Nezami,
Hossam Seddik
Abbas,
Ngoc Thinh
Nguyen, and
Georg
Schildbach,
Robust tube-based LPV-MPC for autonomous lane keeping, IFAC-PapersOnLine , vol. 55, no. 35, pp. 103-108, 2022.
Robust tube-based LPV-MPC for autonomous lane keeping, IFAC-PapersOnLine , vol. 55, no. 35, pp. 103-108, 2022.
DOI: | https://doi.org/10.1016/j.ifacol.2022.11.297 |
Datei: | S2405896322029408 |
Maryam
Nezami,
Ngoc Thinh
Nguyen,
Georg
Männel,
Hossam Seddik
Abbas, and
Georg
Schildbach,
A Safe Control Architecture Based on Robust Model Predictive Control for Autonomous Driving, in 2022 American Control Conference (ACC) , 2022. pp. 914-919.
A Safe Control Architecture Based on Robust Model Predictive Control for Autonomous Driving, in 2022 American Control Conference (ACC) , 2022. pp. 914-919.
DOI: | 10.23919/ACC53348.2022.9867578 |
Tolga-Can
Çallar, and
Sven
Böttger,
Hybrid Learning of Time-Series Inverse Dynamics Models for Locally Isotropic Robot Motion, IEEE Robotics and Automation Letters , 2022.
Hybrid Learning of Time-Series Inverse Dynamics Models for Locally Isotropic Robot Motion, IEEE Robotics and Automation Letters , 2022.
DOI: | 10.1109/LRA.2022.3222951 |
Datei: | LRA.2022.3222951 |
Jonas
Osburg,
Daniel
Wulff, and
Floris
Ernst,
Generalized Automatic Probe Alignment based on 3D Ultrasound, 2022. pp. 58-61.
Generalized Automatic Probe Alignment based on 3D Ultrasound, 2022. pp. 58-61.
DOI: | 10.1515/cdbme-2022-0015 |
Datei: | cdbme-2022-0015 |
Honghu
Xue,
Rui
Song,
Julian
Petzold,
Benedikt
Hein,
Heiko
Hamann, and
Elmar
Rueckert,
End-To-End Deep Reinforcement Learning for First-Person Pedestrian Visual Navigation in Urban Environments, The 2022 IEEE-RAS International Conference on Humanoid Robots, 2022.
End-To-End Deep Reinforcement Learning for First-Person Pedestrian Visual Navigation in Urban Environments, The 2022 IEEE-RAS International Conference on Humanoid Robots, 2022.