Publikationen
2020
Sonja
Jäckle,
Verónica
García-Vázquez,
Felix
Haxthausen,
Tim
Eixmann,
Malte Maria
Sieren,
Hinnerk
Schulz-Hildebrandt,
Gereon
Hüttmann,
Floris
Ernst,
Markus
Kleemann, and
Torben
Pätz,
Abstract: 3D catheter guidance including shape sensing for endovascular navigation, 2020.
Abstract: 3D catheter guidance including shape sensing for endovascular navigation, 2020.
DOI: | 10.1007/978-3-658-29267-6_58 |
File: | 978-3-658-29267-6_58 |
Mete Tuluhan
Akbulut,
Erhan
Oztop,
M. Yunus
Seker,
Honghu
Xue,
Ahmet Ercan
Tekden, and
Emre
Ugur,
ACNMP: Flexible Skill Formation with Learning from Demonstration and Reinforcement Learning via Representation Sharing, Virtual Conference: Conference on Robot Learning (CoRL), 2020.
ACNMP: Flexible Skill Formation with Learning from Demonstration and Reinforcement Learning via Representation Sharing, Virtual Conference: Conference on Robot Learning (CoRL), 2020.
File: |
Marius Krusen,
Automatic Attention-based Class Hierarchy Construction for Deep Image Classification, 2020.
Automatic Attention-based Class Hierarchy Construction for Deep Image Classification, 2020.
Verónica
García-Vázquez,
Florian
Matysiak,
Sonja
Jäckle,
Tim
Eixmann,
Malte Maria
Sieren,
Felix
Haxthausen, and
Floris
Ernst,
Catheter pose-dependent virtual angioscopy images for endovascular aortic repair: validation with a video graphics array (VGA) camera, De Gruyter, 2020. pp. 20200010.
Catheter pose-dependent virtual angioscopy images for endovascular aortic repair: validation with a video graphics array (VGA) camera, De Gruyter, 2020. pp. 20200010.
Tolga-Can
Çallar,
Elmar
Rueckert, and
Sven
Böttger,
Efficient Body Registration Using Single-View Range Imaging and Generic Shape Templates, 54th Annual Conference of the German Society for Biomedical Engineering (BMT 2020) , vol. 6, no. 3, pp. 119-122, 2020.
Efficient Body Registration Using Single-View Range Imaging and Generic Shape Templates, 54th Annual Conference of the German Society for Biomedical Engineering (BMT 2020) , vol. 6, no. 3, pp. 119-122, 2020.
File: | html |
Daniel
Tanneberg,
Elmar
Rueckert, and
Jan
Peters,
Evolutionary training and abstraction yields algorithmic generalization of neural computers, Nature Machine Intelligence , 2020.
Evolutionary training and abstraction yields algorithmic generalization of neural computers, Nature Machine Intelligence , 2020.
Nils
Rottmann,
Ralf
Bruder,
Achim
Schweikard, and
Elmar
Rueckert,
Exploiting Chlorophyll Fluorescense for Building Robust low-Cost Mowing Area Detectors, IEEE SENSORS Conference , pp. 4, 2020.
Exploiting Chlorophyll Fluorescense for Building Robust low-Cost Mowing Area Detectors, IEEE SENSORS Conference , pp. 4, 2020.
File: |
Ngoc Thinh
Nguyen,
Ionela
Prodan, and
Laurent
Lefévre,
Flat trajectory design and tracking with saturation guarantees: a nano-drone application, International Journal of Control , vol. 93, no. 6, pp. 1266-1279, 2020. Taylor & Francis.
Flat trajectory design and tracking with saturation guarantees: a nano-drone application, International Journal of Control , vol. 93, no. 6, pp. 1266-1279, 2020. Taylor & Francis.
DOI: | 10.1080/00207179.2018.1502474 |
File: | 00207179.2018.1502474 |
Maria Henke,
From whole-day face-to-face instructor-led seminars with group work to successful instructor-led distance-learning alternatives: 54th Annual Conference, in Deutsche Gesellschaft für Biomedizinische Technik: 54th Annual Conference , Leipzig , 2020.
From whole-day face-to-face instructor-led seminars with group work to successful instructor-led distance-learning alternatives: 54th Annual Conference, in Deutsche Gesellschaft für Biomedizinische Technik: 54th Annual Conference , Leipzig , 2020.
Jannis
Hagenah,
Mohamad
Mehdi, and
Floris
Ernst,
Fully Data-Driven Pseudohealthy Synthesis for Planning Valve-Sparing Aortic Root Reconstruction using Conditional Variational Autoencoders, Current Directions in Biomedical Engineering , vol. 6, no. 3, pp. 284-287, 2020.
Fully Data-Driven Pseudohealthy Synthesis for Planning Valve-Sparing Aortic Root Reconstruction using Conditional Variational Autoencoders, Current Directions in Biomedical Engineering , vol. 6, no. 3, pp. 284-287, 2020.
Ngoc Thinh
Nguyen,
Ionela
Prodan,
Felix
Petzke,
Stefan
Streif, and
Laurent
Lefévre,
Hierarchical Control of a Quadcopter under Stuck Actuator Fault, IFAC-PapersOnLine , vol. 53, no. 2, pp. 4258-4263, 2020.
Hierarchical Control of a Quadcopter under Stuck Actuator Fault, IFAC-PapersOnLine , vol. 53, no. 2, pp. 4258-4263, 2020.
File: | S2405896320331852 |
Nils
Rottmann,
Tjasa
Kunavar,
Jan
Babic,
Jan
Peters, and
Elmar
Rueckert,
Learning Hierarchical Acquisition Functions for Bayesian Optimization, in International Conference on Intelligent Robots and Systems , Las Vegas, USA: Proceedings of International Conference on Intelligent Robots and Systems (IROS), 2020.
Learning Hierarchical Acquisition Functions for Bayesian Optimization, in International Conference on Intelligent Robots and Systems , Las Vegas, USA: Proceedings of International Conference on Intelligent Robots and Systems (IROS), 2020.
File: |
Daniel
Wulff,
Jannis
Hagenah,
Svenja
Ipsen, and
Floris
Ernst,
Learning Local Feature Descriptions in 3D Ultrasound, 2020. pp. 323-330.
Learning Local Feature Descriptions in 3D Ultrasound, 2020. pp. 323-330.
DOI: | 10.1109/BIBE50027.2020.00059 |
File: | BIBE50027.2020.00059 |
Yenjung Chen,
"Localization of endovascular tools in X-ray images from a motorized C-arm. Visualization on HoloLens" 2020.
"Localization of endovascular tools in X-ray images from a motorized C-arm. Visualization on HoloLens" 2020.
Yenjung
Chen,
Nilay Yatinkumar
Shah,
Subhra Sundar
Goswami,
Annkristin
Lange,
Felix
Haxthausen,
Malte Maria
Sieren,
Jannis
Hagenah,
Floris
Ernst, and
Verónica
García-Vázquez,
Localization of endovascular tools in X-ray images using a motorized C-arm: visualization on HoloLens, De Gruyter, 2020. pp. 20200029.
Localization of endovascular tools in X-ray images using a motorized C-arm: visualization on HoloLens, De Gruyter, 2020. pp. 20200029.
Chengxiong
Lin,
Jingyang
Xie, and
Wei
Li,
Measuring the micromechanical properties of esophageal mucosa with atomic force microscopy, Biosurface and Biotribology , vol. 6, no. 4, pp. 97-103, 2020.
Measuring the micromechanical properties of esophageal mucosa with atomic force microscopy, Biosurface and Biotribology , vol. 6, no. 4, pp. 97-103, 2020.
DOI: | 10.1049/bsbt.2020.0015 |
File: | bsbt.2020.0015 |
Ngoc Thinh
Nguyen,
Ionela
Prodan, and
Laurent
Lefévre,
Multicopter Attitude Control through NMPC Design with Guaranteed Stability, IFAC-PapersOnLine , vol. 53, no. 2, pp. 6101-6106, 2020.
Multicopter Attitude Control through NMPC Design with Guaranteed Stability, IFAC-PapersOnLine , vol. 53, no. 2, pp. 6101-6106, 2020.
File: | S2405896320322886 |
Nils
Rottmann,
Ralf
Bruder,
Honghu
Xue,
Achim
Schweikard, and
Elmar
Rueckert,
Parameter Optimization for Loop Closure Detection in Closed Environments, Workshop Paper at the International Conference on Intelligent Robots and Systems (IROS) , pp. 8, 2020.
Parameter Optimization for Loop Closure Detection in Closed Environments, Workshop Paper at the International Conference on Intelligent Robots and Systems (IROS) , pp. 8, 2020.
File: |
Oliver
Blanck,
Daniel
Buergy,
Maren
Vens,
Lina
Eidinger,
Adrian
Zaman,
David
Krug,
Boris
Rudic,
Frank A.
Giordano,
Leif‐Hendrik
Boldt,
Felix
Mehrhof,
Volker
Budach,
Achim
Schweikard,
Denise
Olbrich,
Inke R.
König,
Frank-Andre
Siebert,
R.
Vonthein,
Jürgen
Dunst, and
Hendrik
Bonnemeier,
Radiosurgery for ventricular tachycardia: preclinical and clinical evidence and study design for a German multi‐center multi‐platform feasibility trial (RAVENTA), Clinical Research in Cardiology , 2020.
Radiosurgery for ventricular tachycardia: preclinical and clinical evidence and study design for a German multi‐center multi‐platform feasibility trial (RAVENTA), Clinical Research in Cardiology , 2020.
Emilio
Cartoni,
Franscesco
Mannella,
Vieri Giuliano
Santucci,
Jochen
Triesch,
Elmar
Rueckert, and
Gianluca
Baldassarre,
REAL-2019: Robot open-Ended Autonomous Learning competition, Proceedings of Machine Learning Research , pp. 142-152, 2020.
REAL-2019: Robot open-Ended Autonomous Learning competition, Proceedings of Machine Learning Research , pp. 142-152, 2020.
File: |