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Technical University of Munich, Munich Center for Machine Learning (MCML), Konrad Zuse School of Excellence in Reliable AI (relAI)
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Achieving 22% better accuracy in spine anatomy reconstruction without any synthetic training data could revolutionize intraoperative ultrasound applications.
Achieve 80% better shape completion for ultrasound reconstruction by implicitly modeling acoustic interactions, eliminating the need for anatomical labels during inference.
