Felix Denzinger
According to our database1,
Felix Denzinger
authored at least 39 papers
between 2019 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
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2021
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2024
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Bibliography
2024
Proceedings of the Bildverarbeitung für die Medizin 2024, 2024
Proceedings of the Bildverarbeitung für die Medizin 2024, 2024
Abstract: Enabling Geometry Aware Learning Through Differentiable Epipolar View Translation.
Proceedings of the Bildverarbeitung für die Medizin 2024, 2024
Abstract: Robust Multi-contrast MRI Denoising using Trainable Bilateral Filters without Noise-free Targets.
Proceedings of the Bildverarbeitung für die Medizin 2024, 2024
Abstract: Utility-preserving Measure for Patient Privacy - Deep Learning-based Anonymization of Chest Radiographs.
Proceedings of the Bildverarbeitung für die Medizin 2024, 2024
Abstract: Handling Label Uncertainty on the Example of Automatic Detection of Shepherd's Crook RCA in Coronary CT Angiography.
Proceedings of the Bildverarbeitung für die Medizin 2024, 2024
2023
Handling Label Uncertainty on the Example of Automatic Detection of Shepherd's Crook RCA in Coronary CT Angiography.
CoRR, 2023
Proceedings of the Medical Imaging 2023: Image-Guided Procedures, 2023
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Deep Learning-Based Anonymization of Chest Radiographs: A Utility-Preserving Measure for Patient Privacy.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
Spatial Lesion Graphs: Analyzing Liver Metastases with Geometric Deep Learning for Cancer Survival Regression.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
Robust Multi-Contrast Mri Denoising Using Trainable Bilateral Filters Without Noise-Free Targets.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
Handling Label Uncertainty on the Example of Automatic Detection of Shepherd's Crook RCA in Coronary CT Angiography.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
Abstract: Trainable Joint Bilateral Filters for Enhanced Prediction Stability in Low-dose CT.
Proceedings of the Bildverarbeitung für die Medizin 2023, 2023
Proceedings of the Bildverarbeitung für die Medizin 2023, 2023
2022
SEMPAI: a Self-Enhancing Multi-Photon Artificial Intelligence for prior-informed assessment of muscle function and pathology.
CoRR, 2022
CoRR, 2022
DeepTechnome: Mitigating Unknown Bias in Deep Learning Based Assessment of CT Images.
CoRR, 2022
CoRR, 2022
Segmentation of the Carotid Lumen and Vessel Wall using Deep Learning and Location Priors.
CoRR, 2022
Proceedings of the Medical Imaging 2022: Image Processing, 2022
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022
Building Brains: Subvolume Recombination for Data Augmentation in Large Vessel Occlusion Detection.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Proceedings of the Bildverarbeitung für die Medizin 2022, 2022
2021
Automatic Plane Adjustment of Orthopedic Intra-operative Flat Panel Detector CT-Volumes.
CoRR, 2021
SyNCCT: Synthetic Non-contrast Images of the Brain from Single-Energy Computed Tomography Angiography.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Proceedings of the Bildverarbeitung für die Medizin 2021, 2021
Proceedings of the Bildverarbeitung für die Medizin 2021, 2021
Proceedings of the Bildverarbeitung für die Medizin 2021, 2021
2020
Automatic Plane Adjustment of Orthopedic Intraoperative Flat Panel Detector CT-Volumes.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Abstract: Coronary Artery Plaque Characterization from CCTA Scans Using DL and Radiomics.
Proceedings of the Bildverarbeitung für die Medizin 2020 - Algorithmen - Systeme, 2020
Deep Learning Algorithms for Coronary Artery Plaque Characterisation from CCTA Scans.
Proceedings of the Bildverarbeitung für die Medizin 2020 - Algorithmen - Systeme, 2020
2019
Coronary Artery Plaque Characterization from CCTA Scans Using Deep Learning and Radiomics.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019