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High-Frequency Oscillations in the Scalp Electroencephalogram: Mission Impossible without Computational Intelligence.

, , and . Comp. Int. and Neurosc., (2018)

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Pathology-Related Automated Hippocampus Segmentation Accuracy., , , , , , , , and . Bildverarbeitung für die Medizin, page 128-133. Springer, (2017)High-Frequency Oscillations in the Scalp Electroencephalogram: Mission Impossible without Computational Intelligence., , and . Comp. Int. and Neurosc., (2018)Constructing Shape Spaces from a Topological Perspective., , , , , and . IPMI, volume 10265 of Lecture Notes in Computer Science, page 106-118. Springer, (2017)Variability Issues in Automated Hippocampal Segmentation: A Study on Out-of-the-Box Software and Multi-rater Ground Truth., , , , , , , and . CBMS, page 191-196. IEEE Computer Society, (2016)Hippocampus Segmentation and SPHARM Coefficient Selection are Decisive for MCI Detection., , , , , , , , and . Bildverarbeitung für die Medizin, page 239-244. Springer Vieweg, (2018)Assessing Out-of-the-box Software for Automated Hippocampus Segmentation., , , , and . Bildverarbeitung für die Medizin, page 212-217. Springer, (2016)Impaired consciousness is linked to changes in effective connectivity of the posterior cingulate cortex within the default mode network., , , , , , , and . NeuroImage, (2015)MEEGIPS - A Modular EEG Investigation and Processing System for Visual and Automated Detection of High Frequency Oscillations., , and . Front. Neuroinform., (2019)Lateralisation Matters: Discrimination of TLE and MCI Based on SPHARM Description of Hippocampal Shape., , , , , , , and . CBMS, page 129-134. IEEE Computer Society, (2018)Can SPHARM-Based Features from Automated or Manually Segmented Hippocampi Distinguish Between MCI and TLE?, , , , , , , , and . SCIA, volume 11482 of Lecture Notes in Computer Science, page 465-476. Springer, (2019)