Felix Denzinger

According to our database1, Felix Denzinger authored at least 39 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Abstract: Self-supervised CT Dual Domain Denoising using Low-parameter Models.
Proceedings of the Bildverarbeitung für die Medizin 2024, 2024

Abstract: Gradient-based Geometry Learning for Fan-beam CT Reconstruction.
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

Lung, nodule, and airway segmentation using partially annotated data.
Proceedings of the Medical Imaging 2023: Image-Guided Procedures, 2023

Enabling Geometry Aware Learning Through Differentiable Epipolar View Translation.
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

On the Benefit of Dual-Domain Denoising in a Self-Supervised Low-Dose CT Setting.
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

Whole-Body Multi-Organ Segmentation Using Anatomical Attention.
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

Mitigating Unknown Bias in Deep Learning-based Assessment of CT Images DeepTechnome.
Proceedings of the Bildverarbeitung für die Medizin 2023, 2023

2022
Gradient-Based Geometry Learning for Fan-Beam CT Reconstruction.
CoRR, 2022

An unobtrusive quality supervision approach for medical image annotation.
CoRR, 2022

SEMPAI: a Self-Enhancing Multi-Photon Artificial Intelligence for prior-informed assessment of muscle function and pathology.
CoRR, 2022

Trainable Joint Bilateral Filters for Enhanced Prediction Stability in Low-dose CT.
CoRR, 2022

DeepTechnome: Mitigating Unknown Bias in Deep Learning Based Assessment of CT Images.
CoRR, 2022

CAD-RADS Scoring using Deep Learning and Task-Specific Centerline Labeling.
CoRR, 2022

Segmentation of the Carotid Lumen and Vessel Wall using Deep Learning and Location Priors.
CoRR, 2022

Normalization techniques for CNN based analysis of surgical cone beam CT volumes.
Proceedings of the Medical Imaging 2022: Image Processing, 2022

CAD-RADS Scoring using Deep Learning and Task-Specific Centerline Labeling.
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

First Steps on Gamification of Lung Fluid Cells Annotations in the Flower Domain.
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

Abstract: Automatic Plane Adjustment in Surgical Cone Beam CT-volumes.
Proceedings of the Bildverarbeitung für die Medizin 2021, 2021

Coronary Plaque Analysis for CT Angiography Clinical Research.
Proceedings of the Bildverarbeitung für die Medizin 2021, 2021

Abstract: Automatic CAD-RADS Scoring using Deep Learning.
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

Automatic Detection of Free Intra-abdominal Air in Computed Tomography.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Automatic CAD-RADS Scoring Using Deep Learning.
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


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