Lehrstuhl für Informatik 14 (Bild- und Sprachverarbeitung)


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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Unpublished / Preprint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

From
To

Abstract

Journal

Learning-based misalignment detection for 2-D/3-D overlays (2020) Schaffert R, Wang J, Fischer P, Borsdorf A, Maier A Conference contribution Degenerating u-net on retinal vessel segmentation: What do we really need? (2020) Fu W, Breininger K, Pan Z, Maier A Conference contribution Deep OCT angiography image generation for motion artifact suppression (2020) Hoßbach J, Husvogt L, Kraus M, Fujimoto JG, Maier A Conference contribution Combining 2-D and 3-D weight-bearing x-ray images: Application to preoperative implant planning in the knee (2020) Luckner C, Herbst M, Fuhrmann M, Ritschl L, Kappler S, Maier A Conference contribution Deep learning-based denoising of mammographic images using physics-driven data augmentation (2020) Eckert D, Vesal S, Ritschl L, Kappler S, Maier A Conference contribution Open source simulation of fixational eye drift motion in oct scans: Towards better comparability and accuracy in retrospective OCT motion correction (2020) Nau MA, Nau M, Moult EM, Fujimoto JG, Maier A Conference contribution What Makes the Cepstral Peak Prominence Different to Other Acoustic Correlates of Vocal Quality? (2020) Ferrer Riesgo CA, Nöth E Journal article A practical calibration criterion for image-based material decomposition in spectral computed tomography (2020) Yang K, Zhai X, Xie Z, Zhou K, Meng X, Ren Q, Lu Y Journal article Correction to: Assessment of treatment responses in children and adolescents with Ewing sarcoma with metabolic tumor parameters derived from 18F-FDG-PET/CT and circulating tumor DNA (European Journal of Nuclear Medicine and Molecular Imaging, (2019), 10.1007/s00259-019-04649-1) (2020) Schmidkonz C, Krumbholz M, Atzinger A, Cordes M, Götz T, Prante O, Ritt P, et al. Journal article, Erratum A Robust Deep-Learning-based Automated Cardiac Resting Phase Detection: Validation in a Prospective Study (2020) Yoon SS, Hoppe E, Schmidt M, Forman C, Chitiboi T, Sharma P, Tillmanns C, et al. Conference contribution, Abstract of a poster