4 citations · 4 across the 1 of their papers we have counts for
5 papers
Fully Automatic Segmentation of 3D Brain Ultrasound: Learning from Coarse Annotations
Julia Rackerseder, Rüdiger Göbl, Nassir Navab +1
Intra-operative ultrasound is an increasingly important imaging modality in neurosurgery. However, manual interaction with imaging data during the procedures, for example to select…
Redefining Ultrasound Compounding: Computational Sonography
Rüdiger Göbl, Diana Mateus, Christoph Hennersperger +2
Freehand three-dimensional ultrasound (3D-US) has gained considerable interest in research, but even today suffers from its high inter-operator variability in clinical practice. Th…
Incremental Adversarial Learning for Optimal Path Planning
Salvatore Virga, Christian Rupprecht, Nassir Navab +1
Path planning plays an essential role in many areas of robotics. Various planning techniques have been presented, either focusing on learning a specific task from demonstrations or…
Initialize globally before acting locally: Enabling Landmark-free 3D US to MRI Registration
Julia Rackerseder, Maximilian Baust, Rüdiger Göbl +2
Registration of partial-view 3D US volumes with MRI data is influenced by initialization. The standard of practice is using extrinsic or intrinsic landmarks, which can be very tedi…
Markerless Inside-Out Tracking for Interventional Applications
Benjamin Busam, Patrick Ruhkamp, Salvatore Virga +4
Tracking of rotation and translation of medical instruments plays a substantial role in many modern interventions. Traditional external optical tracking systems are often subject t…