Siemens Healthineers (Germany)

On the Value of the Non-negativity Constraint in CT (2019) Haase V, Hahn K, Schoendube H, Stierstorfer K, Maier A, Noo F Conference contribution, Abstract of lecture Quantifying and Leveraging Classification Uncertainty for Chest Radiograph Assessment (2019) Ghesu FC, Georgescu B, Gibson E, Gündel S, Kalra M, Singh R, Digumarthy S, et al. Conference contribution, Conference Contribution Multi-task Learning for Chest X-ray Abnormality Classification on Noisy Labels (2019) Gündel S, Ghesu FC, Grbic S, Gibson E, Georgescu B, Maier A, Comaniciu D Other publication type On C-arm CT imaging with the extended line-ellipse-line trajectory (2019) Guo Z, Lauritsch G, Maier A, Kugler P, Islam M, Vogt F, Noo F Conference contribution On the Value of the Non-negativity Constraint in CT (2019) Haase V, Hahn K, Schoendube H, Stierstorfer K, Maier A, Noo F Conference contribution, Abstract of lecture Image-based Detection of MRI Hardware Failures (2019) Jain B, Kuhnert N, deOliveira A, Maier A Conference contribution, Conference Contribution 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