Prof. Dr.-Ing. Andreas Maier

Lehrstuhl für Informatik 5 (Mustererkennung)

Motion correction and volume merging of ultrahigh resolution OCT enable 3D visualization and longitudinal tracking of hyperreflective foci (2023) Won J, Yaghy A, Ploner S, Takahashi H, Reimann MK, Girgis JM, Lam K, 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 Bayesian Convolutional Neural Networks for Limited Data Hyperspectral Remote Sensing Image Classification (2023) Joshaghani M, Davari A, Nejati Hatamian F, Maier A, Riess C Journal article 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 MR-zero meets RARE MRI: Joint optimization of refocusing flip angles and neural networks to minimize T2-induced blurring in spin echo sequences (2023) Dang HN, Endres J, Weinmüller S, Glang F, Loktyushin A, Scheffler K, Dörfler A, et al. Journal article 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