Mareike Thies

Lehrstuhl für Informatik 5 (Mustererkennung) Lehrstuhl für Informatik 14 (Bild- und Sprachverarbeitung) (LME)

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 On the Benefit of Dual-Domain Denoising in a Self-Supervised Low-Dose CT Setting (2023) Wagner F, Thies M, Pfaff L, Aust O, Pechmann S, Weidner D, Maul N, et al. Conference contribution McLabel: A Local Thresholding Tool for Efficient Semi-automatic Labelling of Cells in Fluorescence Microscopy (2023) Utz J, Schlereth M, Qiu J, Thies M, Wagner F, Brahim OB, Gu M, et al. Conference contribution 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