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Lehrstuhl für Informatik 5 (Mustererkennung)
Friedrich-Alexander-Universität Erlangen-Nürnberg
Technische Fakultät
Department Informatik
Overview
Publications
(1,635)
Research Grants
(105)
Research Fields
(15)
Types of publications
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Journal article
Journal article
Book chapter / Article in edited volumes
Book chapter / Article in edited volumes
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Authored book
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Translation
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Thesis
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Conference contribution
Conference contribution
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Other publication type
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Unpublished / Preprint
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Dataset of pages from early printed books with multiple font groups (2019)
Seuret M, Limbach S, Weichselbaumer N, Maier A, Christlein V
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
A Semi-Automated Usability Evaluation Framework for Interactive Image Segmentation Systems (2019)
Amrehn M, Steidl S, Kortekaas R, Strumia M, Weingarten M, Kowarschik M, Maier A
Journal article, Original article
Magnetic Resonance Fingerprinting Reconstruction Using Recurrent Neural Networks (2019)
Hoppe E, Thamm F, Körzdörfer G, Syben-Leisner C, Schirrmacher F, Nittka M, Pfeuffer J, et al.
Book chapter / Article in edited volumes
Enabling machine learning in X-ray-based procedures via realistic simulation of image formation (2019)
Unberath M, Zaech JN, Gao C, Bier B, Goldmann F, Lee SC, Fotouhi J, et al.
Journal article
Labeling, cutting, grouping: An efficient text line segmentation method for medieval manuscripts (2019)
Alberti M, Vogtlin L, Pondenkandath V, Seuret M, Ingold R, Liwicki M
Conference contribution
Weakly Supervised Segmentation of Cracks on Solar Cells using Normalized Lp Norm (2019)
Mayr M, Hoffmann M, Maier A, Christlein V
Conference contribution, Conference Contribution
Automatic orientation estimation of inertial sensors in C-Arm CT Projections (2019)
Thies M, Maier J, Eskofier B, Maier A, Levenston M, Gold G, Fahrig R
Journal article
Robust mixed one-bit compressive sensing (2019)
Huang X, Yang H, Huang Y, Shi L, He F, Maier A, Yan M
Journal article
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
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