4 papers
A Clinical Evaluation of Conformal Prediction for Chest Radiograph Report Generation
Nikolaos Kontogeorgis, Pascal Krezer, Klaus-Rudolf Kladny +5
While multimodal large language models (MLLMs) have improved automated radiology report generation, they remain prone to hallucinations, necessitating clinically meaningful risk-co…
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…
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,…
The RSNA Abdominal Traumatic Injury CT (RATIC) Dataset
Jeffrey D. Rudie, Hui-Ming Lin, Robyn L. Ball +37
The RSNA Abdominal Traumatic Injury CT (RATIC) dataset is the largest publicly available collection of adult abdominal CT studies annotated for traumatic injuries. This dataset inc…