Name
Affiliation
Papers
YVONNE HÖLLER
Salzburg Univ, Dept Comp Sci, A-5020 Salzburg, Austria
14
Collaborators
Citations 
PageRank 
35
17
5.31
Referers 
Referees 
References 
49
268
71
Search Limit
100268
Title
Citations
PageRank
Year
An empirical assessment of appearance descriptors applied to MRI for automated diagnosis of TLE and MCI.00.342020
Age, Sex, and Pathology Effects on Stability of Electroencephalographic Biometric Features Based on Measures of Interaction.00.342019
MEEGIPS-A Modular EEG Investigation and Processing System for Visual and Automated Detection of High Frequency Oscillations.00.342019
Hippocampus Segmentation and SPHARM Coefficient Selection are Decisive for MCI Detection.00.342018
Lateralisation Matters: Discrimination of TLE and MCI Based on SPHARM Description of Hippocampal Shape00.342018
Do EEG-Biometric Templates Threaten User Privacy?10.372018
High-Frequency Oscillations in the Scalp Electroencephalogram: Mission Impossible without Computational Intelligence00.342018
Pathology-Related Automated Hippocampus Segmentation Accuracy.00.342017
Assessing Out-of-the-box Software for Automated Hippocampus Segmentation.10.362016
Variability Issues in Automated Hippocampal Segmentation: A Study on Out-of-the-Box Software and Multi-rater Ground Truth10.372016
Impaired consciousness is linked to changes in effective connectivity of the posterior cingulate cortex within the default mode network.40.492015
Improved endoscope distortion correction does not necessarily enhance mucosa-classification based medical decision support systems40.492012
Iris-sensor authentication using camera PRNU fingerprints20.402012
Endoscope distortion correction does not (easily) improve mucosa-based classification of celiac disease.40.472012