Prof. Dr.-Ing. Andreas Maier

Lehrstuhl für Informatik 5 (Mustererkennung) Fachbereich Wirtschaftswissenschaften

Estimating follow-up CTs from geometric deformations of catheter implants in interstitial breast brachytherapy: A feasibility study using electromagnetic tracking (2023) Dürrbeck C, Schulz M, Pflaum L, Kallis K, Geimer T, Abu-Hossin N, Strnad V, et al. Journal article SEMPAI: a Self-Enhancing Multi-Photon Artificial Intelligence for Prior-Informed Assessment of Muscle Function and Pathology (2023) Mühlberg A, Ritter P, Langer S, Goossens C, Nübler S, Schneidereit D, Taubmann O, et al. Journal article, Original article Method for comparison of data driven gating algorithms in emission tomography (2023) Reymann M, Vija AH, Maier A Journal article, Original article Detection of Pulmonary Embolisms in NCCT Data Using nnDetection (2023) Vorberg L, Thamm F, Ditt H, Horger M, Hagen F, Maier A Conference contribution, Conference Contribution Unsupervised detection of Small Hyperreflective Features in Ultrahigh Resolution Optical Coherence Tomography (2023) Reimann M, Won J, Takahashi H, Yaghy A, Hwang Y, Ploner S, Lin J, et al. Conference contribution Automated diagnosis of 7 canine skin tumors using machine learning on H&E-stained whole slide images (2023) Fragoso-Garcia M, Wilm F, Bertram CA, Merz S, Schmidt A, Donovan T, Fuchs-Baumgartinger A, et al. Journal article 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