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Unpublished / Preprint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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To

Abstract

Journal

Optimizing CT Scan Geometries With and Without Gradients (2023) Thies M, Wagner F, Maul N, Pfaff L, Schneider LS, Syben C, Maier A Conference contribution, Original article Author Correction: 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. Journal article, Erratum Noise2Contrast: Multi-contrast Fusion Enables Self-supervised Tomographic Image Denoising (2023) Wagner F, Thies M, Pfaff L, Maul N, Pechmann S, Gu M, Utz J, et al. Conference contribution Transient Hemodynamics Prediction Using an Efficient Octree-Based Deep Learning Model (2023) Maul N, Zinn K, Wagner F, Thies M, Rohleder M, Pfaff L, Kowarschik M, et al. Conference contribution Robust multi-contrast MRI denoising using trainable bilateral filters without noise-free targets (2023) Pfaff L, Wagner F, Hoßbach J, Preuhs E, Maul N, Thies M, Denzinger F, et al. Conference contribution Deep learning for terahertz image denoising in nondestructive historical document analysis (2022) Dutta B, Root K, Ullmann I, Wagner F, Mayr M, Seuret M, Thies M, et al. Journal article, Original article Trainable joint bilateral filters for enhanced prediction stability in low-dose CT (2022) Wagner F, Thies M, Denzinger F, Gu M, Patwari M, Ploner S, Maul N, et al. Journal article Automated Bone Density Measurements using Deep Learning (2022) Folle L, Meinderink T, Simon D, Liphardt AM, Thies M, Krönke G, Schett G, et al. Conference contribution, Abstract of a poster 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 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
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