Mareike Thies



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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Unpublished / Preprint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

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Abstract

Journal

Gradient-based geometry learning for fan-beam CT reconstruction (2023) Thies M, Wagner F, Maul N, Folle L, Meier M, Rohleder M, Schneider LS, et al. Journal article, Original article Geometric Constraints Enable Self-Supervised Sinogram Inpainting in Sparse-View Tomography (2023) Wagner F, Thies M, Maul N, Pfaff L, Aust O, Pechmann S, Syben C, Maier A Conference contribution, Conference Contribution Unsupervised Super Resolution in X-ray Microscopy using a Cycle-consistent Generative Model (2023) Raghunath A, Wagner F, Thies M, Gu M, Pechmann S, Aust O, Weidner D, et al. Conference contribution DeepNAPSI multi-reader nail psoriasis prediction using deep learning (2023) Folle L, Fenzl P, Fagni F, Thies M, Christlein V, Meder C, Simon D, et al. Book chapter / Article in edited volumes Learning-based Trajectory Optimization for a Twin Robotic CT System (2023) Schneider LS, Thies M, Schielein R, Syben C, Unberath M, Maier A Conference contribution, Original article Focus on Content not Noise: Improving Image Generation for Nuclei Segmentation by Suppressing Steganography in CycleGAN (2023) Utz J, Weise T, Schlereth M, Wagner F, Thies M, Gu M, Uderhardt S, Breininger K Conference contribution Cavity Segmentation in X-ray Microscopy Scans of Mouse Tibiae (2023) Gu M, Thies M, Wagner F, Pechmann S, Aust O, Weidner D, Neag G, et al. Conference contribution Enabling Geometry Aware Learning Through Differentiable Epipolar View Translation (2023) Rohleder M, Pradel C, Wagner F, Thies M, Maul N, Denzinger F, Maier A, Kreher B Conference contribution Task-based Generation of Optimized Projection Sets using Differentiable Ranking (2023) Schneider LS, Thies M, Syben C, Schielein R, Unberath M, Maier A Conference contribution, Conference Contribution Deepnapsi: Deep Learning for Nail Psoriasis Prediction (2023) Folle L, Fenzl P, Fagni F, Thies M, Christlein V, Meder C, Sticherling M, et al. Conference contribution
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