3 papers
physics.med-ph2026
Towards Sustainable Magnetic Resonance Imaging: Insights from long-term, high-resolution energy recordings across an entire scanner fleet
Florian Leonhard Raab, Fiona Mankertz, Nour Maalouf +17
Magnetic resonance imaging (MRI) is among the most energy-intensive diagnostic modalities in healthcare, yet its energy consumption and the factors influencing it remain insufficie…
eess.IV2026
Sustainable MRI: Interpretable Deep Learning for estimating energy and power consumption, revealing key acquisition parameters and their interactions
Florian Leonhard Raab, Fiona Mankertz, Nour Maalouf +16
Magnetic resonance imaging (MRI) is among the most energy-intensive medical imaging modalities. To facilitate the development of more energy-efficient MRI protocols and sequences,…
cs.LG2026
Robust Computational Extraction of Non-Enhancing Hypercellular Tumor Regions from Clinical Imaging Data
A. Brawanski, Th. Schaffer, F. Raab +5
Accurate identification of non-enhancing hypercellular (NEH) tumor regions is an unmet need in neuro-oncological imaging, with significant implications for patient management and t…