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Lehrstuhl für Informatik 5 (Mustererkennung)
Friedrich-Alexander-Universität Erlangen-Nürnberg
Technische Fakultät
Department Informatik
Overview
Publications
(1,998)
Research Grants
(111)
Research Fields
(15)
Types of publications
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Journal article
Journal article
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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
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Unpublished / Preprint
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Updating Siamese trackers using peculiar mixup (2023)
Wu F, Zhang J, Xu Z, Maier A, Christlein V
Journal article, Original article
Classification of incunable glyphs and out-of-distribution detection with joint energy-based models (2023)
Kordon F, Weichselbaumer N, Herz R, Mossman S, Potten E, Seuret M, Mayr M, Christlein V
Journal article, Original article
Optimal Combination of Mother Wavelet and AI Model for Precise Classification of Pediatric Electroretinogram Signals (2023)
Kulyabin M, Zhdanov A, Dolganov A, Maier A
Journal article, Online publication
Cerebral Vessel Tree Estimation from Non-contrast CT using Deep Learning Methods (2023)
Schauer J, Thamm F, Taubmann O, Maier A
Conference contribution, Original article
Abstract: Fiducial Marker Recovery and Detection From Severely Truncated Data in Navigation-Assisted Spine Surgery (2023)
Fan F, Kreher BW, Keil H, Maier A, Huang Y
Conference contribution, Abstract of lecture
A Vesselsegmentation-based CycleGAN for Unpaired Multi-modal Retinal Image Synthesis (2023)
Sindel A, Maier A, Christlein V
Conference contribution, Conference Contribution
Data Driven Gating in SPECT using Isomap (2023)
Reymann M, Vija AH, Maier A
Conference contribution
Severe MR Motion Artefact Correction with 2 step Deep Learning-based guidance (2023)
Hoßbach J, Splitthoff DN, Cauley S, Clifford B, Polak D, Maier A
Conference contribution, Abstract of a poster
Unsupervised Super Resolution in X-ray Microscopy using a Cycle-consistent Generative Model (2023)
Raghunath A, Wagner F, Thies M, Gu M, Pechmann S, Aust O, Weidner D, et al.
Conference contribution
Retinal blood flow speed quantification at the capillary level using temporal autocorrelation fitting OCTA [Invited] (2023)
Hwang Y, Won J, Yaghy A, Takahashi H, Girgis JM, Lam K, Chen S, et al.
Journal article, Original article
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