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Unpublished / Preprint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

Improved cardiac T1 mapping accuracy and precision with a new hybrid MOLLI and SASHA technique: MOSHA (2022) Sohani M, van der Geest RJ, Maier A, Powell AJ, Moghari MH Journal article Calibration by differentiation – Self-supervised calibration for X-ray microscopy using a differentiable cone-beam reconstruction operator (2022) Thies M, Wagner F, Huang Y, Gu M, Kling L, Pechmann S, Aust O, et al. Journal article, Original article Is Multitask Learning Always Better? (2022) Mattick A, Mayr M, Maier A, Christlein V Conference contribution Combining Visual and Linguistic Models for a Robust Recipient Line Recognition in Historical Documents (2022) Mayr M, Felker A, Maier A, Christlein V Conference contribution Ultra low‐parameter denoising: Trainable bilateral filter layers in computed tomography (2022) Wagner F, Thies M, Gu M, Huang Y, Pechmann S, Patwari M, Ploner S, et al. Journal article, Original article Automatic plane adjustment of orthopedic intraoperative flat panel detector CT-volumes (2022) Martín Vicario C, Kordon F, Denzinger F, El Barbari JS, Privalov M, Franke J, Thomas S, et al. Journal article, Original article Deep Learning-Based Respiratory Motion Correction in Free-Breathing Abodiminal Diffusion-Weighted Imaging (2022) Kim J, Gadjimuradov F, Benkert T, Vahle T, Maier A Conference contribution, Abstract of a poster Identification of High-risk Metastases in MRI Follow-up after Stereotaxic by using Radiomics and Delta Radiomics (2022) Sommer P, Huang Y, Fischer S, Srinivasan AL, Dörfler A, Schmidt M, Frey B, et al. Conference contribution Distinguishing Progression and Radionecrosis in large progressive Brain Metastases after Stereotaxy by integrating Radiomics, Dose Radiomics and clinical Risk Factors (2022) Sommer P, Huang Y, Srinivasan AL, Fischer S, Dörfler A, Schmidt M, Frey B, et al. Conference contribution Deep Learning based Prediction of Glioma Growth by using "Growing Neural Cellular Automata" (2022) Huang Y, Maier A, Sommer P, Fischer S, Srinivasan AL, Fietkau R, Bert C, Putz F Conference contribution