Frank Hertel

According to our database1, Frank Hertel authored at least 17 papers between 2008 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.



In proceedings 
PhD thesis 




The effect of dataset confounding on predictions of deep neural networks for medical imaging.
Proceedings of the 2022 Northern Lights Deep Learning Workshop, 2022

Abstract: The Importance of Dataset Choice Lessons Learned from COVID-19 X-ray Imaging Models.
Proceedings of the Bildverarbeitung für die Medizin 2022, 2022

Initialisation of Deep Brain Stimulation Parameters with Multi-objective Optimisation Using Imaging Data.
Proceedings of the Bildverarbeitung für die Medizin 2022, 2022

The Need of Standardised Metadata to Encode Causal Relationships: Towards Safer Data-Driven Machine Learning Biological Solutions.
Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2021

Automated Deep Learning-based Segmentation of Brain, SEEG and DBS Electrodes on CT Images.
Proceedings of the Bildverarbeitung für die Medizin 2021, 2021

FastField: An open-source toolbox for efficient approximation of deep brain stimulation electric fields.
NeuroImage, 2020

Shape-aware surface reconstruction from sparse 3D point-clouds.
Medical Image Anal., 2017

Integration of sparse electrophysiological measurements with preoperative MRI using 3D surface estimation in deep brain stimulation surgery.
Proceedings of the Medical Imaging 2017: Image-Guided Procedures, 2017

Shape-aware Surface Reconstruction from Sparse Data.
CoRR, 2016

Fast correspondences for statistical shape models of brain structures.
Proceedings of the Medical Imaging 2016: Image Processing, 2016

Linear Shape Deformation Models with Local Support Using Graph-Based Structured Matrix Factorisation.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

A solution for multi-alignment by transformation synchronisation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Assessment of Electrode Displacement and Deformation with Respect to Pre-Operative Planning in Deep Brain Stimulation.
Proceedings of the Bildverarbeitung für die Medizin 2015, Algorithmen - Systeme, 2015

Enabling of Grid based Diffusion Tensor Imaging using a Workflow Implementation of FSL.
Proceedings of the Healthgrid Research, Innovation and Business Case - Proceedings of HealthGrid 2009, Berlin, Germany, 29 June, 2009

Diffusions-Tensor-Imaging als Gridanwendung - Perfomanzsteigerung und standortunabhängiger Zugang zu leistungsfähigen Ressourcen.
Proceedings of the 39. Jahrestagung der Gesellschaft für Informatik, Im Focus das Leben, INFORMATIK 2009, Lübeck, Germany, September 28, 2009

Visualization in Health Grid Environments: A Novel Service and Business Approach.
Proceedings of the Grid Economics and Business Models, 6th International Workshop, 2009

Advanced Methods for Target Navigation using Microelectrode Recordings in Stereotactic Neurosurgery for Deep Brain Stimulation.
Proceedings of the Twenty-First IEEE International Symposium on Computer-Based Medical Systems, 2008