Yvonne Höller
Orcid: 0000-0002-1727-8557Affiliations:
- Paracelsus Medical University, Salzburg, Austria
According to our database1,
Yvonne Höller
authored at least 18 papers
between 2012 and 2020.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on zbmath.org
-
on orcid.org
On csauthors.net:
Bibliography
2020
Prediction of Cognitive Decline in Temporal Lobe Epilepsy and Mild Cognitive Impairment by EEG, MRI, and Neuropsychology.
Comput. Intell. Neurosci., 2020
An empirical assessment of appearance descriptors applied to MRI for automated diagnosis of TLE and MCI.
Comput. Biol. Medicine, 2020
2019
Age, Sex, and Pathology Effects on Stability of Electroencephalographic Biometric Features Based on Measures of Interaction.
IEEE Trans. Inf. Forensics Secur., 2019
MEEGIPS - A Modular EEG Investigation and Processing System for Visual and Automated Detection of High Frequency Oscillations.
Frontiers Neuroinformatics, 2019
Can SPHARM-Based Features from Automated or Manually Segmented Hippocampi Distinguish Between MCI and TLE?
Proceedings of the Image Analysis - 21st Scandinavian Conference, 2019
2018
High-Frequency Oscillations in the Scalp Electroencephalogram: Mission Impossible without Computational Intelligence.
Comput. Intell. Neurosci., 2018
Proceedings of the 6th ACM Workshop on Information Hiding and Multimedia Security, 2018
Lateralisation Matters: Discrimination of TLE and MCI Based on SPHARM Description of Hippocampal Shape.
Proceedings of the 31st IEEE International Symposium on Computer-Based Medical Systems, 2018
Hippocampus Segmentation and SPHARM Coefficient Selection are Decisive for MCI Detection.
Proceedings of the Bildverarbeitung für die Medizin 2018 - Algorithmen - Systeme, 2018
2017
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017
Proceedings of the Information Processing in Medical Imaging, 2017
Proceedings of the Bildverarbeitung für die Medizin 2017 - Algorithmen - Systeme, 2017
2016
Variability Issues in Automated Hippocampal Segmentation: A Study on Out-of-the-Box Software and Multi-rater Ground Truth.
Proceedings of the 29th IEEE International Symposium on Computer-Based Medical Systems, 2016
Proceedings of the Bildverarbeitung für die Medizin 2016 - Algorithmen - Systeme, 2016
2015
Impaired consciousness is linked to changes in effective connectivity of the posterior cingulate cortex within the default mode network.
NeuroImage, 2015
2012
Improved endoscope distortion correction does not necessarily enhance mucosa-classification based medical decision support systems.
Proceedings of the 14th IEEE International Workshop on Multimedia Signal Processing, 2012
Endoscope Distortion Correction Does Not (Easily) Improve Mucosa-Based Classification of Celiac Disease.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012
Proceedings of the 5th IAPR International Conference on Biometrics, 2012