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Felix Denzinger
List of publications:
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Lehrstuhl für Informatik 5 (Mustererkennung)
Publications
(29)
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Journal article
Journal article
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Book chapter / Article in edited volumes
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Authored book
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Translation
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Thesis
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Conference contribution
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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
Handling Label Uncertainty on the Example of Automatic Detection of Shepherd’s Crook RCA in Coronary CT Angiography (2023)
Denzinger F, Wels M, Taubmann O, Kordon F, Wagner F, Mehltretter S, Gülsün MA, et al.
Conference contribution
Fast 3D YOLOv3 based standard plane regression of vertebral bodies in intra-operative CBCT volumes (2023)
Doerrich S, Kordon F, Denzinger F, El Barbari JS, Privalov M, Vetter SY, Maier A, Kunze H
Journal article
How scan parameter choice affects deep learning-based coronary artery disease assessment from computed tomography (2023)
Denzinger F, Wels M, Breininger K, Taubmann O, Mühlberg A, Allmendinger T, Gülsün MA, et al.
Journal article
Enabling Geometry Aware Learning Through Differentiable Epipolar View Translation (2023)
Rohleder M, Pradel C, Wagner F, Thies M, Maul N, Denzinger F, Maier A, Kreher B
Conference contribution
Deep Learning-Based Anonymization of Chest Radiographs: A Utility-Preserving Measure for Patient Privacy (2023)
Packhäuser K, Gündel S, Thamm F, Denzinger F, Maier A
Conference contribution, Original article
Whole-Body Multi-Organ Segmentation Using Anatomical Attention (2023)
Liu C, Denzinger F, Folle L, Qiu J, Klein L, Maier J, Kachelrieb M, 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
Spatial Lesion Graphs: Analyzing Liver Metastases with Geometric Deep Learning for Cancer Survival Regression (2023)
Rist L, Taubmann O, Muhlberg A, Denzinger F, Thamm F, Sühling M, Norenberg D, et al.
Conference contribution
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
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