no code implementations • 11 Mar 2024 • Christian Wachinger, Dennis Hedderich, Fabian Bongratz
Magnetic resonance imaging (MRI) is critical for diagnosing neurodegenerative diseases, yet accurately assessing mild cortical atrophy remains a challenge due to its subtlety.
no code implementations • 27 Feb 2024 • Fabian Bongratz, Jan Fecht, Anne-Marie Rickmann, Christian Wachinger
In contrast to existing methods, V2C-Long surfaces are directly comparable in a cross-sectional and longitudinal manner.
1 code implementation • 23 Jan 2024 • Fabian Bongratz, Anne-Marie Rickmann, Christian Wachinger
The reconstruction of cortical surfaces is a prerequisite for quantitative analyses of the cerebral cortex in magnetic resonance imaging (MRI).
1 code implementation • 15 Dec 2023 • Tom Nuno Wolf, Fabian Bongratz, Anne-Marie Rickmann, Sebastian Pölsterl, Christian Wachinger
During inference, similarities of latent features to prototypes are linearly classified to form predictions and attribution maps are provided to explain the similarity.
1 code implementation • 27 Jun 2023 • Fabian Bongratz, Anne-Marie Rickmann, Christian Wachinger
However, the generalization of these deep learning-based approaches to different organs and datasets, a crucial property for deployment in clinical environments, has not yet been assessed.
no code implementations • 19 Sep 2022 • Anne-Marie Rickmann, Fabian Bongratz, Sebastian Pölsterl, Ignacio Sarasua, Christian Wachinger
The reconstruction of cerebral cortex surfaces from brain MRI scans is instrumental for the analysis of brain morphology and the detection of cortical thinning in neurodegenerative diseases like Alzheimer's disease (AD).
1 code implementation • CVPR 2022 • Fabian Bongratz, Anne-Marie Rickmann, Sebastian Pölsterl, Christian Wachinger
The reconstruction of cortical surfaces from brain magnetic resonance imaging (MRI) scans is essential for quantitative analyses of cortical thickness and sulcal morphology.