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Unpublished / Preprint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

Simulation-informed learning for time-resolved angiographic contrast agent concentration reconstruction (2024) Maul N, Birkhold A, Wagner F, Thies M, Rohleder M, Berg P, Kowarschik M, Maier A Journal article Artificial intelligence for detection of retinal toxicity in chloroquine and hydroxychloroquine therapy using multifocal electroretinogram waveforms (2024) Kulyabin M, Kremers J, Holbach V, Maier A, Huchzermeyer C Journal article, Original article Scene Classification on Fine Arts with Style Transfer (2024) Huang H, Zinnen M, Liu S, Maier A, Christlein V Conference contribution Graph neural networks in multi-stained pathological imaging: extended comparative analysis of Radiomic features (2024) Rivera Monroy LC, Rist L, Ostalecki C, Bauer A, Vera J, Breininger K, Maier A Journal article A gradient-based approach to fast and accurate head motion compensation in cone-beam CT (2024) Thies M, Wagner F, Maul N, Yu H, Goldmann M, Schneider LS, Gu M, et al. Journal article Unsupervised Domain Adaptation Using Soft-Labeled Contrastive Learning with Reversed Monte Carlo Method for Cardiac Image Segmentation (2024) Gu M, Thies M, Mei S, Wagner F, Fan M, Sun Y, Pan Z, et al. Conference contribution Death by Retrospective Undersampling - Caveats and Solutions for Learning-Based MRI Reconstructions (2024) Rajput JR, Weinmüller S, Endres J, Dawood P, Knoll F, Maier A, Zaiß M Conference contribution Pancreatic Vessel Landmark Detection in CT Angiography Using Prior Anatomical Knowledge (2024) Rist L, Homm C, Lades F, Hernandez AA, Sühling M, Gudman Steuble Brandt E, Maier A, Taubmann O Conference contribution Differentiable Score-Based Likelihoods: Learning CT Motion Compensation from Clean Images (2024) Thies M, Maul N, Mei S, Pfaff L, Vysotskaya N, Gu M, Utz J, et al. Conference contribution OrdinalNet: A Deep Learning-based Relative Image Quality Metric for Motion Compensation in CBCT (2024) Goldmann M, Manhart M, Preuhs A, Goldmann F, Kowarschik M, Maier A Conference contribution, Conference Contribution