Prof. Dr. Rebecca Fahrig

Technische Fakultät

Preliminary results of DSA denoising based on a weighted low-rank approach using an advanced neurovascular replication system (2019) Hariharan SG, Kaethner C, Strobel N, Kowarschik M, DiNitto J, Albarqouni S, Fahrig R, Navab N Journal article Noise reduction method in low-dose CT data combining neural networks and an iterative reconstruction technique (2019) Choi D, Kim J, Chae SH, Baek J, Maier A, Fahrig R, Park HS, Choi JH 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 Smooth Ride: Low-Pass Filtering of Manual Segmentations Improves Consensus (2019) Maier J, Black M, Hall M, Choi JH, Levenston M, Gold G, Fahrig R, et al. Conference contribution Material Decomposition Using Ensemble Learning for Spectral X-ray Imaging (2018) Lu Y, Kowarschik M, Huang X, Chen S, Ren Q, Fahrig R, Hornegger J, Maier A Journal article Resolve Intraoperative Brain Shift as Imitation Game (2018) Zhong X, Bayer S, Ravikumar N, Strobel N, Birkhold A, Kowarschik M, Fahrig R, Maier A Conference contribution, Conference Contribution Feasibility of Motion Compensation using Inertial Measurement in C-arm CT (2018) Maier J, Aichert A, Mehringer W, Bier B, Eskofier B, Levenston M, Gold G, et al. Conference contribution Preliminary Study Investigating Brain Shift Compensation using 3D CBCT Cerebral Vascular Images (2018) Bayer S, Schaffert R, Ravikumar N, Maier A, Fahrig R, Ostermeier M, Tong X, Wang H Conference contribution, Conference Contribution Precision Learning: Reconstruction Filter Kernel Discretization (2018) Syben-Leisner C, Stimpel B, Breininger K, Würfl T, Fahrig R, Dörfler A, Maier A Conference contribution, Original article Precision Learning: Towards Use of Known Operators in Neural Networks (2018) Maier A, Schebesch F, Syben-Leisner C, Würfl T, Steidl S, Choi JH, Fahrig R Conference contribution