Lehrstuhl für Informatik 5 (Mustererkennung)


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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Unpublished / Preprint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

Method for comparison of data driven gating algorithms in emission tomography (2023) Reymann M, Vija AH, Maier A Journal article, Original article AI-based Single-Click Cardiac MRI Exam: Initial Clinical Experience and Evaluation in 44 Patients (2023) Wetzl J, Yoon SS, Schmidt M, Haenel A, Weißgerber AB, Barkhausen J, Frydrychowicz A Conference contribution, Abstract of lecture 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 Automated 3D Defect Detection based on Simulated Reference (2023) Sukowski F, Suth D, Waldyra A, Grulich T, Jung A Conference contribution 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