1 citations · 1 across the 2 of their papers we have counts for
4 papers
Brain Tumor Segmentation with Special Emphasis on the Non-Enhancing Brain Tumor Compartment
T. Schaffer, A. Brawanski, S. Wein +2
A U-Net based deep learning architecture is designed to segment brain tumors as they appear on various MRI modalities. Special emphasis is lent to the non-enhancing tumor compartme…
Forecasting Brain Activity Based on Models of Spatio-Temporal Brain Dynamics: A Comparison of Graph Neural Network Architectures
Simon Wein, Alina Schüller, Ana Maria Tomé +3
Comprehending the interplay between spatial and temporal characteristics of neural dynamics can contribute to our understanding of information processing in the human brain. Graph…
A Graph Neural Network Framework for Causal Inference in Brain Networks
Simon Wein, Wilhelm Malloni, Ana Maria Tomé +5
A central question in neuroscience is how self-organizing dynamic interactions in the brain emerge on their relatively static structural backbone. Due to the complexity of spatial…
A constrained ICA-EMD Model for Group Level fMRI Analysis
Simon Wein, Ana Maria Tomé, Markus Goldhacker +2
Independent component analysis (ICA), as a data driven method, has shown to be a powerful tool for functional magnetic resonance imaging (fMRI) data analysis. One drawback of this…