1 citations · 2 across the 3 of their papers we have counts for
3 papers
Deep Convolutional Neural Networks for Interpretable Analysis of EEG Sleep Stage Scoring
Albert Vilamala, Kristoffer H. Madsen, Lars K. Hansen
Sleep studies are important for diagnosing sleep disorders such as insomnia, narcolepsy or sleep apnea. They rely on manual scoring of sleep stages from raw polisomnography signals…
Adaptive Smoothing in fMRI Data Processing Neural Networks
Albert Vilamala, Kristoffer Hougaard Madsen, Lars Kai Hansen
Functional Magnetic Resonance Imaging (fMRI) relies on multi-step data processing pipelines to accurately determine brain activity; among them, the crucial step of spatial smoothin…
Towards end-to-end optimisation of functional image analysis pipelines
Albert Vilamala, Kristoffer Hougaard Madsen, Lars Kai Hansen
The study of neurocognitive tasks requiring accurate localisation of activity often rely on functional Magnetic Resonance Imaging, a widely adopted technique that makes use of a pi…