Prof. Dr. Bernhard Kainz

Professur für Image Data Exploration and Analysis

Fetal skull segmentation in 3D ultrasound via structured geodesic random forest (2017) Cerrolaza JJ, Oktay O, Gomez A, Matthew J, Knight C, Kainz B, Rueckert D Conference contribution Accessible GLSL shader programming (2017) Toisoul A, Rueckert D, Kainz B Conference contribution Learning clinically useful information from images: Past, present and future (2016) Rueckert D, Glocker B, Kainz B Journal article Fast fully automatic segmentation of the human placenta from motion corrupted MRI (2016) Alansary A, Kamnitsas K, Davidson A, Khlebnikov R, Rajchl M, Malamateniou C, Rutherford M, et al. Conference contribution Real-time standard scan plane detection and localisation in fetal ultrasound using fully convolutional neural networks (2016) Baumgartner CF, Kamnitsas K, Matthew J, Smith S, Kainz B, Rueckert D Conference contribution RFA-cut: Semi-automatic segmentation of radiofrequency ablation zones with and without needles via optimal s-t-cuts (2015) Egger J, Busse H, Brandmaier P, Seider D, Gawlitza M, Strocka S, Voglreiter P, et al. Conference contribution Interactive Volumetry of Liver Ablation Zones (2015) Egger J, Busse H, Brandmaier P, Seider D, Gawlitza M, Strocka S, Voglreiter P, et al. Journal article Fast Volume Reconstruction from Motion Corrupted Stacks of 2D Slices (2015) Kainz B, Steinberger M, Wein W, Kuklisova-Murgasova M, Malamateniou C, Keraudren K, Torsney-Weir T, et al. Journal article Adaptive scan strategies for fetal MRI imaging using slice to volume techniques (2015) Kainz B, Malamateniou C, Ferrazzi G, Murgasova M, Egger J, Keraudren K, Rutherford M, et al. Conference contribution Machine learning for the automatic localisation of foetal body parts in cine-MRI scans (2015) Bowles C, Nowlan NC, Hayat TTA, Malamateniou C, Rutherford M, Hajnal JV, Rueckert D, Kainz B Conference contribution