Mathis Hoffmann
Mathis Hoffmann
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Deep learning computed tomography: Learning projection-domain weights from image domain in limited angle problems
T Würfl, M Hoffmann, V Christlein, K Breininger, Y Huang, M Unberath, ...
IEEE transactions on medical imaging 37 (6), 1454-1463, 2018
Learning with known operators reduces maximum error bounds
AK Maier, C Syben, B Stimpel, T Würfl, M Hoffmann, F Schebesch, W Fu, ...
Nature machine intelligence 1 (8), 373-380, 2019
Empirical Scatter Correction using the Epipolar Consistency Condition
M Hoffmann, T Würfl, N Maaß, F Dennerlein, A Aichert, AK Maier
Fifth International Conference on Image Formation in X-Ray Computed Tomography, 2018
Weakly Supervised Segmentation of Cracks on Solar Cells Using Normalized Lp Norm
M Mayr, M Hoffmann, A Maier, V Christlein
2019 IEEE International Conference on Image Processing (ICIP), 1885-1889, 2019
A Robust Chessboard Detector for Geometric Camera Calibration.
M Hoffmann, A Ernst, T Bergen, S Hettenkofer, JU Garbas
VISIGRAPP (4: VISAPP), 34-43, 2017
A quantum heat engine based on dynamical material design
G Tulzer, L Chotorlishvili, M Hoffmann, RE Zillich, J Berakdar, A Ernst
arXiv preprint arXiv:1909.06102, 2019
Calibration‐free beam hardening reduction in x‐ray CBCT using the epipolar consistency condition and physical constraints
T Würfl, M Hoffmann, A Aichert, AK Maier, N Maaß, F Dennerlein
Medical Physics 46 (12), e810-e822, 2019
Fast and robust detection of solar modules in electroluminescence images
M Hoffmann, B Doll, F Talkenberg, CJ Brabec, AK Maier, V Christlein
International Conference on Computer Analysis of Images and Patterns, 519-531, 2019
Pattern detection
A Ernst, M Hoffmann, J Garbas, T Bergen
US Patent App. 16/296,090, 2019
Pattern detection
A Ernst, M Hoffmann, JU Garbas, T Bergen
Emanuele, U. 33 Liao, X. 24 Falkowski, T. 13 Li Pira, N. 33 Fecher, FW 76 Lombard, P. 100 Fechtelpeter, C. 88 Lorenz, L. 81
P Amend, C Gath, B Geck, J Bahr, M Gedvilas, M Barth, S Greiner, ...
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