Mona Schumacher

Using AI and Gd-EOB-DTPA-enhanced MR imaging to assess liver function, comparing the MELIF score with the ALBI score

Carolina Río Bártulos, Karin Senk, Ragnar Bade, Mona Schumacher et autres

Monitoring disease progression is particularly important for determining the optimal treatment strategy in patients with liver disease. Especially for patients with diseases that have a reversible course, there is a lack of suitable tools for monitoring liver function. The development and establishment …

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MELIF, a Fully Automated Liver Function Score Calculated from Gd-EOB-DTPA-Enhanced MR Images: Diagnostic Performance vs. the MELD Score

Carolina Río Bártulos, Karin Senk, Ragnar Bade, Mona Schumacher et autres

In the management of patients with chronic liver disease, the assessment of liver function is essential for treatment planning. Gd-EOB-DTPA-enhanced MRI allows for both the acquisition of anatomical information and regional liver function quantification. The objective of this study was to demonstrate …

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Learning-based three-dimensional registration with weak bounding box supervision

Mona Schumacher, Hanna Siebert, Andreas Genz, Ragnar Bade et autres

Purpose: Image registration is the process of aligning images, and it is a fundamental task in medical image analysis. While many tasks in the field of image analysis, such as image segmentation, are handled almost entirely with deep learning and exceed the …

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Assessment of Liver Function With MRI: Where Do We Stand?

Carolina Río Bártulos, Karin Senk, Mona Schumacher, Jan Plath et autres

Liver disease and hepatocellular carcinoma (HCC) have become a global health burden. For this reason, the determination of liver function plays a central role in the monitoring of patients with chronic liver disease or HCC. Furthermore, assessment of liver function is important, …

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Iterative 3D CNN Based Segmentation of Vascular Trees in Liver CT

Mona Schumacher, Ragnar Bade, Andreas Genz, Mattias P. Heinrich‬

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