4 citations · 6 across the 4 of their papers we have counts for
4 papers
PRO-TIP: Phantom for RObust automatic ultrasound calibration by TIP detection
Matteo Ronchetti, Julia Rackerseder, Maria Tirindelli +4
We propose a novel method to automatically calibrate tracked ultrasound probes. To this end we design a custom phantom consisting of nine cones with different heights. The tips are…
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…
Weakly-Supervised White and Grey Matter Segmentation in 3D Brain Ultrasound
Beatrice Demiray, Julia Rackerseder, Stevica Bozhinoski +1
Although the segmentation of brain structures in ultrasound helps initialize image based registration, assist brain shift compensation, and provides interventional decision support…
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…