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Lehrstuhl für Informatik 14 (Bild- und Sprachverarbeitung) (LME)
Friedrich-Alexander-Universität Erlangen-Nürnberg
Technische Fakultät
Department Informatik
Overview
Publications
(16)
Types of publications
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Journal article
Journal article
Book chapter / Article in edited volumes
Book chapter / Article in edited volumes
Authored book
Authored book
Translation
Translation
Thesis
Thesis
Edited Volume
Edited Volume
Conference contribution
Conference contribution
Other publication type
Other publication type
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Unpublished / Preprint
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Influence of X-Ray Radiation on Historical Paper (2022)
Zippert P, Seuret M, Maier A, Hausotte T
Conference contribution, Conference Contribution
View-Consistent Metal Segmentation in the Projection Domain for Metal Artifact Reduction in CBCT – An Investigation of Potential Improvement (2021)
Gottschalk T, Maier A, Kordon F, Kreher BW
Journal article, Original article
Learning-based Patch-wise Metal Segmentation with Consistency Check (2021)
Gottschalk T, Maier A, Kordon F, Kreher BW
Conference contribution, Conference Contribution
Latent Shape Constraint for Anatomical Landmark Detection on Spine Radiographs (2021)
Kordon F, Maier A, Kunze H
Conference contribution, Conference Contribution
Velo-CT – A Collaborative 3D Racing Game as Incentive for Medical Image Annotation (2021)
Sukesh R, Goshika SK, Narayanan SS, Bhombore VV, Fu WL, Kordon F, Maier A
Conference contribution, Abstract of a poster
ScanRacer – Fast Track Annotation of Segmentation Masks in Volumetric Medical Images (2021)
Diehm J, Hermann R, Pertlwieser T, Cheng W, Fu WL, Kordon F, Maier A
Conference contribution, Abstract of a poster
Data-driven estimation of noise variance stabilization parameters for low-dose X-ray images (2020)
Hariharan SG, Strobel N, Kaethner C, Kowarschik M, Fahrig R, Navab N
Journal article
VirtualDSA++: Automated Segmentation, Vessel Labeling, Occlusion Detection and Graph Search on CT-Angiography Data (2020)
Thamm F, Jürgens M, Ditt H, Maier A
Conference contribution, Conference Contribution
Predicting Hearing Aid Fittings Based on Audiometric and Subject-Related Data: A Machine Learning Approach (2020)
Seifer AK, Schinkel-Bielefeld N, Schröter H, Escalante Banuelos A, Hoppe U, Maier A
Conference contribution, Conference Contribution
CLCNet: Deep learning-based noise reduction for hearing aids using complex linear coding (2020)
Schröter H, Rosenkranz T, Escalante Banuelos A, Aubreville M, Maier A
Conference contribution, Conference Contribution
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