Prof. Dr.-Ing. Katharina Breininger

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

Deep Learning Algorithms for Coronary Artery Plaque Characterisation from CCTA Scans (2020) Denzinger F, Wels M, Breininger K, Reidelshöfer A, Eckert J, Sühling M, Schmermund A, Maier A Conference contribution, Original article Projection-to-Projection Translation for Hybrid X-ray and Magnetic Resonance Imaging (2019) Stimpel B, Syben-Leisner C, Würfl T, Breininger K, Hölter P, Dörfler A, Maier A Journal article A Divide-and-Conquer Approach towards Understanding Deep Networks (2019) Fu W, Breininger K, Schaffert R, Ravikumar N, Maier A Conference contribution, Original article Coronary Artery Plaque Characterization from CCTA Scans Using Deep Learning and Radiomics (2019) Denzinger F, Wels M, Ravikumar N, Breininger K, Reidelshöfer A, Eckert J, Sühling M, et al. Conference contribution, Original article Simultaneous reconstruction of multiple stiff wires from a single X-ray projection for endovascular aortic repair (2019) Breininger K, Hanika M, Weule M, Kowarschik M, Pfister M, Maier A Journal article Iliac artery deformation during EVAR (2019) Koutouzi G, Pfister M, Breininger K, Hellström M, Roos H, Falkenberg M Journal article Left ventricle segmentation in LGE-MRI using multiclass learning (2019) Kurzendorfer T, Breininger K, Steidl S, Maier A, Fahrig R Conference contribution Projection image-to-image translation in hybrid x-ray/MR imaging (2019) Stimpel B, Syben-Leisner C, Würfl T, Breininger K, Lommen J, Dörfler A, Maier A Conference contribution Decoupling Respiratory and Angular Variation in Rotational X-ray Scans Using a Prior Bilinear Model (2019) Geimer T, Keall P, Breininger K, Caillet V, Dunbar M, Bert C, Maier A Conference contribution 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