Prof. Dr.-Ing. Katharina Breininger

Juniorprofessur für Artificial Intelligence in Medical Imaging Department Artificial Intelligence in Biomedical Engineering (AIBE)

Workflow Phase Detection in Fluoroscopic Images Using Convolutional Neural Networks (2019) Arbogast N, Kurzendorfer T, Breininger K, Mountney P, Toth D, Narayan SA, Maier A Conference contribution 3D-Reconstruction of Stiff Wires from a Single Monoplane X-Ray Image (2019) Breininger K, Hanika M, Weule M, Kowarschik M, Pfister M, Maier A Conference contribution Myocardial Scar Segmentation in LGE-MRI using Fractal Analysis and Random Forest Classification (2018) Kurzendorfer T, Breininger K, Steidl S, Brost A, Forman C, Maier A Conference contribution Left Ventricle Segmentation in LGE-MRI: Filter Based vs. Learning Based (2018) Kurzendorfer T, Breininger K, Steidl S, Brost A, Forman C, Maier A Conference contribution Some Investigations on Robustness of Deep Learning in Limited Angle Tomography (2018) Huang Y, Würfl T, Breininger K, Liu L, Lauritsch G, Maier A Conference contribution, Original article Deep Learning Computed Tomography: Learning Projection-Domain Weights from Image Domain in Limited Angle Problems (2018) Würfl T, Hoffmann M, Christlein V, Breininger K, Huang Y, Unberath M, Maier A Journal article, Original article Frangi-Net: A Neural Network Approach to Vessel Segmentation (2018) Fu WL, Breininger K, Schaffert R, Ravikumar N, Würfl T, Fujimoto JG, Moult EM, Maier A Conference contribution, Original article Deep learning fundamentals (2018) Breininger K, Christlein V, Würfl T, Maier A Conference contribution Multiple Device Segmentation for Fluoroscopic Imaging Using Multi-task Learning (2018) Breininger K, Würfl T, Kurzendorfer T, Albarqouni S, Pfister M, Kowarschik M, Navab N, Maier A Conference contribution Intraoperative stent segmentation in X-ray fluoroscopy for endovascular aortic repair (2018) Breininger K, Albarqouni S, Kurzendorfer T, Pfister M, Kowarschik M, Maier A Conference contribution