Siemens AG, Healthcare Sector

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 Iliac artery deformation during EVAR (2019) Koutouzi G, Pfister M, Breininger K, Hellström M, Roos H, Falkenberg M Journal 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 Assessment of measurement deviations: length-extended x-ray imaging for orthopedic applications (2019) Luckner C, Magdalena H, Ritschl L, Maier A, Kappler S Conference contribution Misalignment compensation for ultra-high-resolution and fast CBCT acquisitions (2019) Magdalena H, Luckner C, Wicklein J, Grunz JP, Gassenmaier T, Ritschl L, Kappler S Conference contribution Combining Ultrasound and X-Ray Imaging for Mammography (2019) Li Q, Luckner C, Hertel M, Radicke M, Maier A Book chapter / Article in edited volumes