Tobias Würfl

Lehrstuhl für Informatik 5 (Mustererkennung)

Projection-to-Projection Translation for Hybrid X-ray and Magnetic Resonance Imaging (2019) Stimpel B, Syben-Leisner C, Würfl T, Breininger K, Hölter P, Dörfler A, Maier A Journal article Estimating the Fundamental Matrix Without Point Correspondences WithApplication to Transmission Imaging (2019) Würfl T, Aichert A, Maass N, Dennerlein F, Maier A Conference contribution, Conference Contribution Deep Image Denoising in SPECT (2019) Reymann M, Würfl T, Ritt P, Cachovan M, Stimpel B, Maier A Conference contribution, Abstract of lecture Learning with Known Operators reduces Maximum Training Error Bounds. (2019) Maier A, Syben-Leisner C, Stimpel B, Würfl T, Hoffmann M, Schebesch F, Fu W, et al. Journal article Realistic Image Synthesis of Imperfect Specimens using Generative Networks (2019) Neufeld D, Würfl T, Gruber R, Schön T, Maier A Conference contribution, Original article Deriving Neural Network Architectures Using Precision Learning: Parallel-to-Fan Beam Conversion (2019) Syben-Leisner C, Stimpel B, Lommen J, Würfl T, Dörfler A, Maier A Conference contribution, Original article U-Net for SPECT Image Denoising (2019) Reymann M, Würfl T, Stimpel B, Ritt P, Cachovan M, Vija AH, Maier A Conference contribution, Abstract of a poster Transferability of Deep Learning Algorithms for Malignancy Detection in Confocal Laser Endomicroscopy Images from Different Anatomical Locations of the Upper Gastrointestinal Tract (2019) Aubreville M, Goncalves M, Knipfer C, Oetter N, Würfl T, Neumann H, Stelzle F, et al. Conference contribution Projection image-to-image translation in hybrid x-ray/MR imaging (2019) Stimpel B, Syben-Leisner C, Würfl T, Breininger K, Lommen J, Dörfler A, Maier A Conference contribution Fan-to-Parallel Beam Conversion: Deriving Neural Network Architectures Using Precision Learning (2019) Syben-Leisner C, Stimpel B, Lommen J, Würfl T, Dörfler A, Maier A Conference contribution, Abstract of lecture