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.
no code implementations • 23 Apr 2021 • Fabian Gröger, Anne-Marie Rickmann, Christian Wachinger
We propose to predict the uncertainty of pseudo labels and integrate it in the training process with an uncertainty-guided loss function to highlight labels with high certainty.
2 code implementations • 30 Apr 2020 • Sinan Özgür Özgün, Anne-Marie Rickmann, Abhijit Guha Roy, Christian Wachinger
The ability of neural networks to continuously learn and adapt to new tasks while retaining prior knowledge is crucial for many applications.
1 code implementation • 25 Feb 2020 • Anne-Marie Rickmann, Abhijit Guha Roy, Ignacio Sarasua, Christian Wachinger
Fully Convolutional Neural Networks (F-CNNs) achieve state-of-the-art performance for segmentation tasks in computer vision and medical imaging.
2 code implementations • 11 Jun 2019 • Anne-Marie Rickmann, Abhijit Guha Roy, Ignacio Sarasua, Nassir Navab, Christian Wachinger
Fully Convolutional Neural Networks (F-CNNs) achieve state-of-the-art performance for image segmentation in medical imaging.