Tobias Würfl

Lehrstuhl für Informatik 5 (Mustererkennung)

Stereo Rectification for X-ray Data Consistency Conditions (2018) Aichert A, Jérôme L, Würfl T, Clackdoyle R, Desbat L, 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 Physical Constraints for Beam Hardening Reduction using Polynomial Models (2018) Würfl T, Maass N, Dennerlein F, Aichert A, Maier A Conference contribution, Original article MR to X-ray Projection Image Synthesis (2018) Stimpel B, Syben-Leisner C, Würfl T, Mentl K, Dörfler A, Maier A Conference contribution, Original article Deep Learning for Magnetic Resonance Fingerprinting: Accelerating the Reconstruction of Quantitative Relaxation Maps (2018) Hoppe E, Körzdorfer G, Nitka M, Würfl T, Wetzl J, Lugauer F, Schneider M, et al. Conference contribution, Original article A new calibration-free beam hardening reduction method for industrial CT (2018) Würfl T, Maass N, Dennerlein F, Maier A Conference contribution, Original article Tutorial: Deep Learning - Advancing the State-of-the-Art in Medical Image Analysis (2017) Christlein V, Ghesu FC, Würfl T, Maier A, Isensee F, Neher P, Maier-Hein K Conference contribution, Abstract of lecture Epipolar Consistency Guided Beam Hardening Reduction - ECC² (2017) Würfl T, Maass N, Dennerlein F, Huang X, Maier A Conference contribution, Original article A Deep Learning Architecture for Limited-Angle Computed Tomography Reconstruction (2017) Hammernik K, Würfl T, Pock T, Maier A Conference contribution, Original article Deep Learning for Magnetic Resonance Fingerprinting: A New Approach for Predicting Quantitative Parameter Values from Time Series (2017) Hoppe E, Körzdorfer G, Würfl T, Wetzl J, Lugauer F, Pfeuffer J, Maier A Conference contribution, Original article