718 citations · 3.9k across the 134 of their papers we have counts for
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A Lightweight Optimization Framework for Estimating 3D Brain Tumor Infiltration
Jonas Weidner, Michal Balcerak, Ivan Ezhov +6
Glioblastoma, the most aggressive primary brain tumor, poses a severe clinical challenge due to its diffuse microscopic infiltration, which remains largely undetected on standard M…
Enhancing Cardiovascular Disease Prediction through Multi-Modal Self-Supervised Learning
Francesco Girlanda, Olga Demler, Bjoern Menze +1
Accurate prediction of cardiovascular diseases remains imperative for early diagnosis and intervention, necessitating robust and precise predictive models. Recently, there has been…
Predicting Stroke through Retinal Graphs and Multimodal Self-supervised Learning
Yuqing Huang, Bastian Wittmann, Olga Demler +2
Early identification of stroke is crucial for intervention, requiring reliable models. We proposed an efficient retinal image representation together with clinical information to c…
vesselFM: A Foundation Model for Universal 3D Blood Vessel Segmentation
Bastian Wittmann, Yannick Wattenberg, Tamaz Amiranashvili +2
Segmenting 3D blood vessels is a critical yet challenging task in medical image analysis. This is due to significant imaging modality-specific variations in artifacts, vascular pat…
Advancing Stroke Risk Prediction Using a Multi-modal Foundation Model
Camille Delgrange, Olga Demler, Samia Mora +3
Predicting stroke risk is a complex challenge that can be enhanced by integrating diverse clinically available data modalities. This study introduces a self-supervised multimodal f…
Physics-Regularized Multi-Modal Image Assimilation for Brain Tumor Localization
Michal Balcerak, Tamaz Amiranashvili, Andreas Wagner +7
Physical models in the form of partial differential equations serve as important priors for many under-constrained problems. One such application is tumor treatment planning, which…