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Frank Hertel
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2020 – today
- 2024
- [j3]Rene Peter Bremm, Lukas Pavelka, Maria Moscardo Garcia, Laurent Mombaerts, Rejko Krüger, Frank Hertel:
Sensor-Based Quantification of MDS-UPDRS III Subitems in Parkinson's Disease Using Machine Learning. Sensors 24(7): 2195 (2024) - 2022
- [c14]Beatriz Garcia Santa Cruz, Matías Nicolás Bossa, Jan Sölter, Frank Hertel, Andreas Husch:
Abstract: The Importance of Dataset Choice Lessons Learned from COVID-19 X-ray Imaging Models. Bildverarbeitung für die Medizin 2022: 114 - [c13]Mehri Baniasadi, Andreas Husch, Daniele Proverbio, Isabel Fernandes Arroteia, Frank Hertel, Jorge M. Gonçalves:
Initialisation of Deep Brain Stimulation Parameters with Multi-objective Optimisation Using Imaging Data. Bildverarbeitung für die Medizin 2022: 297-302 - [c12]Beatriz Garcia Santa Cruz, Andreas Husch, Frank Hertel:
The effect of dataset confounding on predictions of deep neural networks for medical imaging. NLDL 2022 - 2021
- [c11]Vanja Vlasov, Marie Bofferding, Loïc Marx, Chencheng Zhang, Jorge M. Gonçalves, Andreas Husch, Frank Hertel:
Automated Deep Learning-based Segmentation of Brain, SEEG and DBS Electrodes on CT Images. Bildverarbeitung für die Medizin 2021: 92-97 - [c10]Beatriz Garcia Santa Cruz, Carlos Vega, Frank Hertel:
The Need of Standardised Metadata to Encode Causal Relationships: Towards Safer Data-Driven Machine Learning Biological Solutions. CIBB 2021: 200-216 - 2020
- [j2]Mehri Baniasadi, Daniele Proverbio, Jorge M. Gonçalves, Frank Hertel, Andreas Husch:
FastField: An open-source toolbox for efficient approximation of deep brain stimulation electric fields. NeuroImage 223: 117330 (2020)
2010 – 2019
- 2017
- [j1]Florian Bernard, Luis Salamanca, Johan Thunberg, Alexander Tack, Dennis Jentsch, Hans Lamecker, Stefan Zachow, Frank Hertel, Jorge M. Gonçalves, Peter Gemmar:
Shape-aware surface reconstruction from sparse 3D point-clouds. Medical Image Anal. 38: 77-89 (2017) - [c9]Andreas Husch, Peter Gemmar, Johan Thunberg, Frank Hertel:
Integration of sparse electrophysiological measurements with preoperative MRI using 3D surface estimation in deep brain stimulation surgery. Image-Guided Procedures 2017: 101350H - 2016
- [c8]Florian Bernard, Peter Gemmar, Frank Hertel, Jorge M. Gonçalves, Johan Thunberg:
Linear Shape Deformation Models with Local Support Using Graph-Based Structured Matrix Factorisation. CVPR 2016: 5629-5638 - [c7]Florian Bernard, Nikos Vlassis, Peter Gemmar, Andreas Husch, Johan Thunberg, Jorge M. Gonçalves, Frank Hertel:
Fast correspondences for statistical shape models of brain structures. Image Processing 2016: 97840R - [i3]Florian Bernard, Luis Salamanca, Johan Thunberg, Alexander Tack, Dennis Jentsch, Hans Lamecker, Stefan Zachow, Frank Hertel, Jorge M. Gonçalves, Peter Gemmar:
Shape-aware Surface Reconstruction from Sparse Data. CoRR abs/1602.08425 (2016) - 2015
- [c6]Andreas Husch, Peter Gemmar, Jörg Lohscheller, Florian Bernard, Frank Hertel:
Assessment of Electrode Displacement and Deformation with Respect to Pre-Operative Planning in Deep Brain Stimulation. Bildverarbeitung für die Medizin 2015: 77-82 - [c5]Florian Bernard, Johan Thunberg, Peter Gemmar, Frank Hertel, Andreas Husch, Jorge M. Gonçalves:
A solution for multi-alignment by transformation synchronisation. CVPR 2015: 2161-2169 - [i2]Florian Bernard, Peter Gemmar, Frank Hertel, Jorge M. Gonçalves, Johan Thunberg:
Linear Shape Deformation Models with Local Support Using Graph-based Structured Matrix Factorisation. CoRR abs/1510.08291 (2015) - 2014
- [i1]Florian Bernard, Johan Thunberg, Peter Gemmar, Frank Hertel, Andreas Husch, Jorge M. Gonçalves:
A Solution for Multi-Alignment by Transformation Synchronisation. CoRR abs/1410.8546 (2014)
2000 – 2009
- 2009
- [c4]Frank Dickmann, Mathias Kaspar, Benjamin Löhnhardt, Nick Kepper, Fred Viezens, Frank Hertel, Michael Lesnussa, Yassene Mohammed, Andreas Thiel, Thomas Steinke, Johannes Bernarding, Dagmar Krefting, Tobias A. Knoch, Ulrich Sax:
Visualization in Health Grid Environments: A Novel Service and Business Approach. GECON 2009: 150-159 - [c3]Frank Hertel, Dagmar Krefting, Ralf Lützkendorf, Fred Viezens, Andreas Thiel, Kathrin Peter, Johannes Bernarding:
Diffusions-Tensor-Imaging als Gridanwendung - Perfomanzsteigerung und standortunabhängiger Zugang zu leistungsfähigen Ressourcen. GI Jahrestagung 2009: 1233-1240 - [c2]Ralf Lützkendorf, Johannes Bernarding, Frank Hertel, Fred Viezens, Andreas Thiel, Dagmar Krefting:
Enabling of Grid based Diffusion Tensor Imaging using a Workflow Implementation of FSL. HealthGrid 2009: 72-81 - 2008
- [c1]Peter Gemmar, Oliver Gronz, Thorsten Henrichs, Frank Hertel:
Advanced Methods for Target Navigation using Microelectrode Recordings in Stereotactic Neurosurgery for Deep Brain Stimulation. CBMS 2008: 99-104
Coauthor Index
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last updated on 2024-11-28 21:26 CET by the dblp team
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