Lehrstuhl für Informatik 14 (Bild- und Sprachverarbeitung)


close-button

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Unpublished / Preprint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

Learning how to Clean Fingerprints -- Deep Learning based Separated Artefact Reduction and Regression for MR Fingerprinting (2020) Xu Y, Hoppe E, Speier P, Kluge T, Nittka M, Koerzdoerfer G, Maier A Conference contribution, Conference Contribution Fully-automatic CT data preparation for interventional X-ray skin dose simulation (2020) Roser P, Birkhold A, Preuhs A, Stimpel B, Syben C, Strobel N, Kowarschik M, et al. Conference contribution, Conference Contribution Robust Multi-View 2-D/3-D Registration Using Point-To-Plane Correspondence Model (2020) Schaffert R, Wang J, Fischer P, Maier A, Borsdorf A Journal article Limited Angle Tomography for Transmission X-Ray Microscopy Using Deep Learning (2020) Huang Y, Wang S, Guan Y, Maier A Journal article, Original article An Investigation of Feature-based Nonrigid Image Registration using Gaussian Process (2020) Bayer S, Spiske U, Geimer T, Luo J, Wells III WM, Ostermeier M, Fahrig R, et al. Conference contribution Analyzing an Imitation Learning Network for Fundus Image Registration Using a Divide-and-Conquer Approach (2020) Bayer S, Zhong X, Fu W, Ravikumar N, Maier A Conference contribution, Conference Contribution Prediction of MRI Hardware Failures based on Image Features using Time Series Classification (2020) Kuhnert N, Pflueger L, Maier A Conference contribution, Conference Contribution Deep Learning Algorithms for Coronary Artery Plaque Characterisation from CCTA Scans (2020) Denzinger F, Wels M, Breininger K, Reidelshöfer A, Eckert J, Sühling M, Schmermund A, Maier A Conference contribution, Original article With Semantics and Hidden Markov Models to an Adaptive Log File Parser (2020) Kuhnert N, Maier A Journal article, Online publication Prediction of MRI Hardware Failures based on Image Features using Ensemble Learning (2020) Kuhnert N, Pflueger L, Maier A Conference contribution