Laura Pfaff

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Lehrstuhl für Informatik 5 (Mustererkennung) Lehrstuhl für Informatik 14 (Bild- und Sprachverarbeitung) (LME)
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Conference contribution
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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 Quantitative evaluation of denoising algorithms without noise-free ground-truth data (2023) Pfaff L, Wagner F, Hoßbach J, Preuhs E, Nickel MD, Wuerfl T, Maier A Conference contribution Unsupervised denoising of prostate DWI (2023) Pfaff L, Wagner F, Hoßbach J, Preuhs E, Gadjimuradov F, Benkert T, Nickel MD, et al. Conference contribution 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 Training a tunable, spatially-adaptive denoiser without clean targets (2022) Pfaff L, Hoßbach J, Preuhs E, Arroyo Camejo S, Nickel MD, Maier A, Wuerfl T Conference contribution
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