← Search

Anne-Marie Rickmann

3 accepted papers

2025

Progressive Test Time Energy Adaptation for Medical Image Segmentation

ICCV 2025poster

We propose a model-agnostic, progressive test-time energy adaptation approach for medical image segmentation. Maintaining model performance across diverse medical datasets is challenging, as distribution shifts arise from inconsistent imaging protocols and patient variations. Unlike domain adaptatio…

2024

Keep the Faith: Faithful Explanations in Convolutional Neural Networks for Case-Based Reasoning

AAAI 2024technical

Explaining predictions of black-box neural networks is crucial when applied to decision-critical tasks. Thus, attribution maps are commonly used to identify important image regions, despite prior work showing that humans prefer explanations based on similar examples. To this end, ProtoPNet learns a…

2022

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

CVPR 2022poster

The reconstruction of cortical surfaces from brain magnetic resonance imaging (MRI) scans is essential for quantitative analyses of cortical thickness and sulcal morphology. Although traditional and deep learning-based algorithmic pipelines exist for this purpose, they have two major drawbacks: leng…

Cited by 55PDFcodeScholar