6 citations · 6 across the 3 of their papers we have counts for
3 papers
Beyond Objective Expressivity: Geometry Preservation in Multimodal Contrastive Learning
Tillmann Rheude, Roland Eils, Benjamin Wild
Contrastive learning is increasingly moving toward settings with three or more modalities instead of image-text pairs. Yet, extending models from pairwise to higher-order multimoda…
Modeling Local, Global, and Cross-Modal Context in Multimodal 3D MRI
Minh Duc Do, Tillmann Rheude, Noel Kronenberg +2
Brain MRI poses a fundamental challenge for machine learning: models must learn from high-dimensional 3D data spanning multiple co-registered modalities, despite the limited sample…
Leveraging CAM Algorithms for Explaining Medical Semantic Segmentation
Tillmann Rheude, Andreas Wirtz, Arjan Kuijper +1
Convolutional neural networks (CNNs) achieve prevailing results in segmentation tasks nowadays and represent the state-of-the-art for image-based analysis. However, the understandi…