PhD
Computer Aided Medical Procedures and Augmented Reality at TUM
Boltzmannstraße 15, 85748
Garching bei München
Biosketch
Miruna is a Ph.D. student at the Technical University of Munich (TUM) in the Chair of Computer Aided Medical Procedures and Augmented Reality. She holds a Master’s degree in Biomedical Computing from TUM, where she researched 3D Shape Completion for Ultrasound-based Spine Injections for her thesis. Her research focuses on improving ultrasound interpretability and visualization, aiming to advance medical technology and enhance patient outcomes.
relAI Research
Deep Learning for improving interpretability and visualization in ultrasound imaging
My research develops deep-learning methods that make clinical ultrasound (US) images easier to interpret. Unlike MRI or CT, which provide inherently three-dimensional, high-contrast volumes, US is constrained by limited acoustic windows and artefacts such as reverberations, and acoustic impedance mismatches that lead to inaccuracies and occlusions. I design neural-network architectures that learn to compensate for these limitations by integrating prior knowledge and cross-modal information. I research completion models that infer hidden anatomy beyond the transducer’s field-of-view, reconstructing plausible 3-D context from sparse 2-D slices. I look into interpretable attention and uncertainty mechanisms that highlight reliable regions and expose potential artefacts to the clinician. Together, these contributions aim to transform US from a user-dependent imaging modality, into a transparent, trustworthy, easy to understand imaging tool.