Alexander Preuhs

Lehrstuhl für Informatik 5 (Mustererkennung) Lehrstuhl für Informatik 14 (Bild- und Sprachverarbeitung) (LME)

Deep autofocus with cone-beam CT consistency constraint (2020) Preuhs A, Manhart M, Roser P, Stimpel B, Syben-Leisner C, Psychogios M, Kowarschik M, Maier A Conference contribution, Original article Model-Based and Data-Driven Geometry Alignment for Angiography Systems (2020) Preuhs A Thesis XDose: toward online cross-validation of experimental and computational X-ray dose estimation (2020) Roser P, Birkhold A, Preuhs A, Ochs P, Stepina E, Strobel N, Kowarschik M, et al. Journal article Deep Scatter Splines: Learning-Based Medical X-ray Scatter Estimation Using B-splines (2020) Roser P, Birkhold A, Preuhs A, Syben-Leisner C, Strobel N, Kowarschik M, Fahrig R, Maier A Conference contribution, Conference Contribution Tenfold your photons: A physically-sound approach to filtering-based variance reduction of monte-carlo-simulated dose distributions (2020) Roser P, Birkhold A, Preuhs A, Kowarschik M, Fahrig R, Maier A Conference contribution Fully-automatic CT data preparation for interventional X-ray skin dose simulation (2020) Roser P, Birkhold A, Preuhs A, Stimpel B, Syben C, Strobel N, Kowarschik M, et al. Conference contribution, Conference Contribution Image Quality Assessment for Rigid Motion Compensation (2019) Preuhs A, Manhart M, Roser P, Stimpel B, Syben-Leisner C, Psychogios M, Kowarschik M, Maier A Conference contribution, Original article Data Consistent Artifact Reduction for Limited Angle Tomography with Deep Learning Prior (2019) Huang Y, Preuhs A, Lauritsch G, Manhart M, Huang X, Maier A Conference contribution, Original article Motion Gradients for Epipolar Consistency (2019) Preuhs A, Manhart M, Hoppe E, Kowarschik M, Maier A Conference contribution, Conference Contribution Symmetry prior for epipolar consistency (2019) Preuhs A, Maier A, Manhart M, Kowarschik M, Hoppe E, Fotouhi J, Navab N, Unberath M Journal article