Search Results for author: Anne-Marie Rickmann

Found 5 papers, 4 papers with code

Vox2Cortex: Fast Explicit Reconstruction of Cortical Surfaces from 3D MRI Scans with Geometric Deep Neural Networks

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.

STRUDEL: Self-Training with Uncertainty Dependent Label Refinement across Domains

no code implementations23 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.

pseudo label Unsupervised Domain Adaptation

Importance Driven Continual Learning for Segmentation Across Domains

2 code implementations30 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.

Brain Segmentation Continual Learning +1

Recalibrating 3D ConvNets with Project & Excite

1 code implementation25 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.

Brain Segmentation

`Project & Excite' Modules for Segmentation of Volumetric Medical Scans

2 code implementations11 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.

Brain Segmentation Semantic Segmentation

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