Prof. Dr.-Ing. Andreas Maier

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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Unpublished / Preprint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

Segmentation of the Carotid Lumen and Vessel Wall using Deep Learning and Location Priors (2021) Thamm F, Denzinger F, Rist L, Martín Vicario C, Kordon F, Maier A Other publication type, Challenge Report Failure and Risk Analysis based on Maintenance Reports of Machines Components in Manufacturing Industry (2021) Thamm A, Herz M, Wiedemann M, Thamm F, Maier A Conference contribution, Conference Contribution ICDAR 2021 Competition on Historical Document Classification (2021) Seuret M, Nicolaou A, Rodríguez-Salas D, Weichselbaumer N, Stutzmann D, Mayr M, Maier A, Christlein V Conference contribution, Conference Contribution Robust Quad-Tree based Registration on Whole Slide Images (2021) Marzahl C, Wilm F, Dressler FF, Tharun L, Perner S, Bertram CA, Kröger C, et al. Conference contribution, Conference Contribution Skinscan: Low-Cost 3D-Scanning for Dermatologic Diagnosis and Documentation (2021) Nau M, Schiffers F, Li Y, Xu B, Maier A, Tumblin J, Walton M, et al. Conference contribution, Conference Contribution CraquelureNet: Matching The Crack Structure In Historical Paintings For Multi-Modal Image Registration (2021) Sindel A, Maier A, Christlein V Conference contribution, Conference Contribution Module-Power Prediction from PL Measurements using Deep Learning (2021) Hoffmann M, Hepp J, Doll B, Buerhop-Lutz C, Peters IM, Brabec C, Maier A, Christlein V Conference contribution, Conference Contribution Predicting Anxiety in Routine Palliative Care Using Bayesian-Inspired Association Rule Mining (2021) Haas O, Lopera Gonzalez LI, Hofmann S, Ostgathe C, Maier A, Rothgang E, Amft O, Steigleder T Journal article, Original article ORCA-SLANG: An Automatic Multi-Stage Semi-Supervised Deep Learning Framework for Large-Scale Killer Whale Call Type Identification (2021) Bergler C, Schmitt M, Maier A, Symonds H, Spong P, Ness S, Tzanetakis G, Nöth E Conference contribution, Original article ChainLineNet: Deep-Learning-Based Segmentation and Parameterization of Chain Lines in Historical Prints (2021) Sindel A, Klinke T, Maier A, Christlein V Journal article