3 papers
eess.IV2024
deepmriprep: Voxel-based Morphometry (VBM) Preprocessing via Deep Neural Networks
Lukas Fisch, Nils R. Winter, Janik Goltermann +25
Voxel-based Morphometry (VBM) has emerged as a powerful approach in neuroimaging research, utilized in over 7,000 studies since the year 2000. Using Magnetic Resonance Imaging (MRI…
cs.LG2023
GateNet: A novel Neural Network Architecture for Automated Flow Cytometry Gating
Lukas Fisch, Michael O. Heming, Andreas Schulte-Mecklenbeck +12
Flow cytometry is widely used to identify cell populations in patient-derived fluids such as peripheral blood (PB) or cerebrospinal fluid (CSF). While ubiquitous in research and cl…
eess.IV2023
Deepbet: Fast brain extraction of T1-weighted MRI using Convolutional Neural Networks
Lukas Fisch, Stefan Zumdick, Carlotta Barkhau +8
Brain extraction in magnetic resonance imaging (MRI) data is an important segmentation step in many neuroimaging preprocessing pipelines. Image segmentation is one of the research…