Prof. Dr.-Ing. Katharina Breininger

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

Automatic CAD-RADS Scoring using Deep Learning (2020) Denzinger F, Wels M, Breininger K, Gülsün MA, Schöbinger M, Andre F, Buss SJ, et al. Conference contribution, Conference Contribution Assistive Diagnosis in Opthalmology Using Deep Learning-Based Image Retrieval (2020) Bootwala A, Breininger K, Maier A, Christlein V Book chapter / Article in edited volumes Bildanalyse (2020) Maier A, Christlein V, Breininger K, Wuerfl T, Unberath M, Rieß C Book chapter / Article in edited volumes Move Over There: One-Click Deformation Correction for Image Fusion During Endovascular Aortic Repair (2020) Breininger K, Pfister M, Kowarschik M, Maier A Conference contribution Abstract: Coronary Artery Plaque Characterization from CCTA Scans Using DL and Radiomics (2020) Denzinger F, Wels M, Breininger K, Reidelshöfer A, Eckert J, Sühling M, Schmermund A, Maier A Conference contribution, Abstract of lecture Degenerating u-net on retinal vessel segmentation: What do we really need? (2020) Fu W, Breininger K, Pan Z, Maier A Conference contribution 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