Publikationen
2019
Marco
Horn,
Floris
Ernst,
Kuhlemann
Ivo,
Erik
Stahlberg,
Jan Peter
Goltz,
Marcus
Wiedner, and
Markus
Kleemann,
Experimental visualization of vascular structures with Microsoft Hololens -- Set-up for navigated contrast agent and radiation-sparing endovascular procedures (NAV-CARS EVAR), 2019. pp. e104.
Experimental visualization of vascular structures with Microsoft Hololens -- Set-up for navigated contrast agent and radiation-sparing endovascular procedures (NAV-CARS EVAR), 2019. pp. e104.
Felix
Haxthausen,
Sonja
Jäckle,
Tim
Eixmann,
Jan
Strehlow,
Christian
Schumann,
Juljan
Bouchagiar,
Florian
Matysiak,
Hinnerk
Schulz-Hildebrandt,
Gereon
Hüttmann,
Mark
Kaschwich,
Markus
Kleemann,
Floris
Ernst,
Torben
Pätz, and
Verónica
García-Vázquez,
Catheter navigation and augmented reality visualisation for endovascular aneurysm repair procedures, 2019.
Catheter navigation and augmented reality visualisation for endovascular aneurysm repair procedures, 2019.
Felix
Haxthausen,
Floris
Ernst,
Ralf
Bruder,
Mark
Kaschwich, and
Verónica
García-Vázquez,
Abstract: HoloLens Streaming of 3D Data from Ultrasound Systems to Augmented Reality Glasses, 2019. pp. 231.
Abstract: HoloLens Streaming of 3D Data from Ultrasound Systems to Augmented Reality Glasses, 2019. pp. 231.
| File: | 978-3-658-25326-4_51 |
Svenja
Ipsen,
Floris
Ernst,
Verónica
García-Vázquez, and
Achim
Schweikard,
SU-F-303-3: Assessment of CT artefacts caused by matrix array transducers for intra-modality registration in 4D ultrasound-guided radiotherapy, 2019. pp. E132-E133.
SU-F-303-3: Assessment of CT artefacts caused by matrix array transducers for intra-modality registration in 4D ultrasound-guided radiotherapy, 2019. pp. E132-E133.
Svenja
Ipsen,
Ivo
Kuhlemann,
Achim
Schweikard, and
Floris
Ernst,
MO-K-303-3: Continuous long-term imaging with robotic 4D ultrasound for motion compensation in radiotherapy and beyond, 2019. pp. E287-E288.
MO-K-303-3: Continuous long-term imaging with robotic 4D ultrasound for motion compensation in radiotherapy and beyond, 2019. pp. E287-E288.
Svenja Ipsen,
Bewegungsmuster und Tracking im Herzen -- ICD-Elektroden, Ultraschall und MRT (Presentation), 2019.
Bewegungsmuster und Tracking im Herzen -- ICD-Elektroden, Ultraschall und MRT (Presentation), 2019.
Svenja Ipsen,
See what you treat -- 4D ultrasound imaging for real-time motion compensation in the liver, 2019.
See what you treat -- 4D ultrasound imaging for real-time motion compensation in the liver, 2019.
Niclas
Bockelmann,
Diana
Krüger,
D.C. Florian
Wieland,
Berit
Zeller-Plumhoff,
Niccoló
Peruzzi,
Silvia
Galli,
Regine
Willumeit-Römer,
Fabian
Wilde,
Felix
Beckmann,
Jörg
Hammel,
Julian
Moosmann, and
Mattias
Heinrich,
Sparse Annotations with Random Walks for U-Net Segmentation of Biodegradable Bone Implants in Synchrotron Microtomograms, arXiv preprint arXiv:1908.04173 , 2019.
Sparse Annotations with Random Walks for U-Net Segmentation of Biodegradable Bone Implants in Synchrotron Microtomograms, arXiv preprint arXiv:1908.04173 , 2019.
Niclas
Bockelmann,
Jan
Graßhoff,
Lasse
Hansen,
Giacomo
Bellani,
Mattias
Heinrich, and
Philipp
Rostalski,
Deep Learning for Prediction of Diaphragm Activity from the Surface Electromyogram, Current Directions in Biomedical Engineering , vol. 5, no. 1, pp. 17-20, 2019. De Gruyter.
Deep Learning for Prediction of Diaphragm Activity from the Surface Electromyogram, Current Directions in Biomedical Engineering , vol. 5, no. 1, pp. 17-20, 2019. De Gruyter.
Sonja
Binder,
Matthias
Mölle,
Michael
Lippert,
Ralf
Bruder,
Sonat
Aksamaz,
Frank
Ohl,
J. Simon
Wiegert, and
Lisa
Marshall,
Monosynaptic Hippocampal-Prefrontal Projections Contribute to Spatial Memory Consolidation in Mice, The Journal of Neuroscience , vol. 39, pp. 2158-18, 2019.
Monosynaptic Hippocampal-Prefrontal Projections Contribute to Spatial Memory Consolidation in Mice, The Journal of Neuroscience , vol. 39, pp. 2158-18, 2019.
| DOI: | 10.1523/JNEUROSCI.2158-18.2019 |
| File: | JNEUROSCI.2158-18.2019 |
Florin
Stoican,
Ionela
Prodan,
Esten Ingar
Grøtli, and
Ngoc Thinh
Nguyen,
Inspection Trajectory Planning for 3D Structures under a Mixed-Integer Framework, 2019. pp. 1349-1354.
Inspection Trajectory Planning for 3D Structures under a Mixed-Integer Framework, 2019. pp. 1349-1354.
| DOI: | 10.1109/icca.2019.8899514 |
| File: | icca.2019.8899514 |
Jirapong
Manit,
Luise
Preusse,
Achim
Schweikard, and
Floris
Ernst,
Human Forehead Recognition: A Novel Biometric Modality based on NIR Laser Backscattering Feature Image using Deep Transfer Learning, IET Biometrics , vol. online first, 2019. Institution of Engineering and Technology.
Human Forehead Recognition: A Novel Biometric Modality based on NIR Laser Backscattering Feature Image using Deep Transfer Learning, IET Biometrics , vol. online first, 2019. Institution of Engineering and Technology.
| DOI: | 10.1049/iet-bmt.2019.0015 |
| File: | iet-bmt.2019.0015 |
Ngoc Thinh Nguyen,
Reliable hierarchical control for multicopter systems, Université Grenoble Alpes, 2019.
Reliable hierarchical control for multicopter systems, Université Grenoble Alpes, 2019.
| File: | tel-02526853 |
Judit
Boda-Heggemann,
Anika
Jahnke,
Mark K. H.
Chan,
Floris
Ernst,
Ardekani Leila
Ghaderi,
Ulrike
Attenberger,
Peter
Hunold,
Jost Philipp
Schäfer,
Stefan
Wurster,
Dirk
Rades,
Guido
Hildebrandt,
Frank
Lohr,
Jürgen
Dunst,
Frederik
Wenz, and
Oliver
Blanck,
In-vivo treatment accuracy analysis of active motion-compensated liver SBRT through registration of plan dose to post-therapeutic MRI-morphologic alterations, Radiotherapy and Oncology , vol. 134, pp. 158-165, 2019.
In-vivo treatment accuracy analysis of active motion-compensated liver SBRT through registration of plan dose to post-therapeutic MRI-morphologic alterations, Radiotherapy and Oncology , vol. 134, pp. 158-165, 2019.
| File: | S0167814019300283 |
Daniel
Tanneberg,
Jan
Peters, and
Elmar
Rueckert,
Intrinsic Motivation and Mental Replay enable Efficient Online Adaptation in Stochastic Recurrent Networks, Neural Networks - Elsevier , vol. 109, pp. 67-80, 2019.
Intrinsic Motivation and Mental Replay enable Efficient Online Adaptation in Stochastic Recurrent Networks, Neural Networks - Elsevier , vol. 109, pp. 67-80, 2019.
| DOI: | 10.1016/j.neunet.2018.10.005 |
| File: | j.neunet.2018.10.005 |
2018
Elmar Rueckert,
Learning to Categorize Bug Reports with LSTM Networks, Nice, France: XPS (Xpert Publishing Services), 2018. pp. 6.
Learning to Categorize Bug Reports with LSTM Networks, Nice, France: XPS (Xpert Publishing Services), 2018. pp. 6.
| ISBN: | 978-1-61208-671-2 |
| File: |
Jannis
Hagenah,
Michael
Scharfschwerdt, and
Floris
Ernst,
Towards personalized aortic valve prostheses - A sparse representation of the individual leaflet shape, Computing in Cardiology , vol. 45, 2018.
Towards personalized aortic valve prostheses - A sparse representation of the individual leaflet shape, Computing in Cardiology , vol. 45, 2018.
Jannis
Hagenah,
Tizian
Evers,
Michael
Scharfschwerdt,
Achim
Schweikard, and
Floris
Ernst,
An SVR-based Data-driven Leaflet Modeling Approach for Personalized Aortic Valve Prosthesis Development, Computing in Cardiology , vol. 45, 2018.
An SVR-based Data-driven Leaflet Modeling Approach for Personalized Aortic Valve Prosthesis Development, Computing in Cardiology , vol. 45, 2018.
Jannis
Hagenah,
Maximilian
Hillemanns,
Gereon
Hüttmann,
Floris
Ernst, and
Achim
Schweikard,
Image-based analysis of individual movement patterns of C. elegans, International Conference on Systems Biology 2018 , 2018.
Image-based analysis of individual movement patterns of C. elegans, International Conference on Systems Biology 2018 , 2018.
Jannis
Hagenah,
Mattias
Heinrich, and
Floris
Ernst,
Deep transfer learning for aortic root dilation identification in 3D ultrasound images, Current Directions in Biomedical Engineering , vol. 4, no. 1, pp. 71-74, 2018.
Deep transfer learning for aortic root dilation identification in 3D ultrasound images, Current Directions in Biomedical Engineering , vol. 4, no. 1, pp. 71-74, 2018.

