Jonas Utz

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Juniorprofessur für Artificial Intelligence in Medical Imaging Department Artificial Intelligence in Biomedical Engineering (AIBE) Lehrstuhl für Informatik 14 (Bild- und Sprachverarbeitung) (LME)

Publications

(9)

Differentiable Score-Based Likelihoods: Learning CT Motion Compensation from Clean Images (2024) Thies M, Maul N, Mei S, Pfaff L, Vysotskaya N, Gu M, Utz J, et al. Conference contribution Deep learning-based classification of erosion, synovitis and osteitis in hand MRI of patients with inflammatory arthritis (2024) Schlereth M, Yalcin-Mutlu M, Utz J, Bayat S, Heimann T, Qiu J, Ehring C, et al. Journal article Leveraging Image Captions for Selective Whole Slide Image Annotation (2024) Qiu J, Aubreville M, Wilm F, Öttl M, Utz J, Schlereth M, Breininger K Conference contribution Gradient-based geometry learning for fan-beam CT reconstruction (2023) Thies M, Wagner F, Maul N, Folle L, Meier M, Rohleder M, Schneider LS, et al. Journal article, Original article Cavity Segmentation in X-ray Microscopy Scans of Mouse Tibiae (2023) Gu M, Thies M, Wagner F, Pechmann S, Aust O, Weidner D, Neag G, et al. Conference contribution On the Benefit of Dual-Domain Denoising in a Self-Supervised Low-Dose CT Setting (2023) Wagner F, Thies M, Pfaff L, Aust O, Pechmann S, Weidner D, Maul N, et al. Conference contribution McLabel: A Local Thresholding Tool for Efficient Semi-automatic Labelling of Cells in Fluorescence Microscopy (2023) Utz J, Schlereth M, Qiu J, Thies M, Wagner F, Brahim OB, Gu M, et al. Conference contribution 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 Focus on Content not Noise: Improving Image Generation for Nuclei Segmentation by Suppressing Steganography in CycleGAN (2023) Utz J, Weise T, Schlereth M, Wagner F, Thies M, Gu M, Uderhardt S, Breininger K Conference contribution