Siemens Healthineers (Germany)

Network Accelerated Motion Estimation and Reduction (NAMER): Convolutional neural network guided retrospective motion correction using a separable motion model (2019) Haskell M, Cauley S, Belgic B, Hoßbach J, Splitthoff D, Pfeuffer J, Setsompop K, Wald L Journal article, Original article Mammographic breast density classification using a deep neural network: assessment based on inter-observer variability (2019) Kaiser N, Fieselmann A, Vesal S, Ravikumar N, Ritschl L, Kappler S, Maier A Conference contribution Learning to recognize abnormalities in chest X-rays with location-aware dense networks (2019) Gündel S, Grbic S, Georgescu B, Liu S, Maier A, Comaniciu D Conference contribution Pitfalls in interventional X-ray organ dose assessment—combined experimental and computational phantom study: application to prostatic artery embolization (2019) Roser P, Birkhold A, Zhong X, Ochs P, Stepina E, Kowarschik M, Fahrig R, Maier A Journal article, Original article Iliac artery deformation during EVAR (2019) Koutouzi G, Pfister M, Breininger K, Hellström M, Roos H, Falkenberg M Journal article Adaptive Temporal Sampling for Volumetric Path Tracing of Medical Data (2019) Martschinke J, Hartnagel S, Keinert B, Engel K, Stamminger M Conference contribution, Original article Accelerated silent echo-planar imaging (2019) Liebig P, Heidemann RM, Hensel B, Porter DA Journal article Multi-Scale Deep Reinforcement Learning for Real-Time 3D-Landmark Detection in CT Scans (2019) Ghesu FC, Georgescu B, Zheng Y, Grbic S, Maier A, Hornegger J, Comaniciu D Journal article 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 A machine learning pipeline for internal anatomical landmark embedding based on a patient surface model (2019) Zhong X, Strobel N, Birkhold A, Kowarschik M, Fahrig R, Maier A Journal article