Lehrstuhl für Informatik 14 (Bild- und Sprachverarbeitung) (LME)


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Types of publications

Journal article
Book chapter / Article in edited volumes
Authored book
Translation
Thesis
Edited Volume
Conference contribution
Other publication type
Unpublished / Preprint

Publication year

From
To

Abstract

Journal

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