Oliver Taubmann

Orcid: 0000-0001-5668-8092

According to our database1, Oliver Taubmann authored at least 43 papers between 2013 and 2024.

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

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Appearance-based Debiasing of Deep Learning Models in Medical Imaging.
Proceedings of the Bildverarbeitung für die Medizin 2024, 2024

Segmentation of Acute Ischemic Stroke in Native and Enhanced CT using Uncertainty-aware Labels.
Proceedings of the Bildverarbeitung für die Medizin 2024, 2024

Abstract: Flexible Unfolding of Circular Structures for Rendering Textbook-style Cerebrovascular Maps.
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
Bifurcation matching for consistent cerebral vessel labeling in CTA of stroke patients.
Int. J. Comput. Assist. Radiol. Surg., March, 2023

Handling Label Uncertainty on the Example of Automatic Detection of Shepherd's Crook RCA in Coronary CT Angiography.
CoRR, 2023

Flexible Unfolding of Circular Structures for Rendering Textbook-Style Cerebrovascular Maps.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 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

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

Cerebral Vessel Tree Estimation from Non-contrast CT using Deep Learning Methods.
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
SEMPAI: a Self-Enhancing Multi-Photon Artificial Intelligence for prior-informed assessment of muscle function and pathology.
CoRR, 2022

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

An Algorithm for the Labeling and Interactive Visualization of the Cerebrovascular System of Ischemic Strokes.
CoRR, 2022

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

Detecting Large Vessel Occlusions using Graph Deep Learning.
Proceedings of the Geometric Deep Learning in Medical Image Analysis, 2022

Detection of Large Vessel Occlusions Using Deep Learning by Deforming Vessel Tree Segmentations.
Proceedings of the Bildverarbeitung für die Medizin 2022, 2022

Thrombus Detection in Non-contrast Head CT Using Graph Deep Learning.
Proceedings of the Bildverarbeitung für die Medizin 2022, 2022

2021
Explaining clinical decision support systems in medical imaging using cycle-consistent activation maximization.
Neurocomputing, 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

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

Detection of Ischemic Infarct Core in Non-contrast Computed Tomography.
Proceedings of the Machine Learning in Medical Imaging - 11th International Workshop, 2020

2019
Traditional machine learning for limited angle tomography.
Int. J. Comput. Assist. Radiol. Surg., 2019

2018
Computed Tomography.
Proceedings of the Medical Imaging Systems - An Introductory Guide, 2018

Dynamic Cardiac Chamber Imaging in C-arm Computed Tomography (Dynamische Herzkammerbildgebung in der C-Bogen-Computertomographie)
PhD thesis, 2018

Prior-Free Respiratory Motion Estimation in Rotational Angiography.
IEEE Trans. Medical Imaging, 2018

Traditional Machine Learning Techniques for Streak Artifact Reduction in Limited Angle Tomography.
Proceedings of the Bildverarbeitung für die Medizin 2018 - Algorithmen - Systeme, 2018

2017
Scale-Space Anisotropic Total Variation for Limited Angle Tomography.
CoRR, 2017

Respiratory motion compensation in rotational angiography: Graphical model-based optimization of auto-focus measures.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

Spatio-temporally regularized 4-D cardiovascular C-arm CT reconstruction using a proximal algorithm.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

A kernel-based framework for intra-fractional respiratory motion estimation in radiation therapy.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

Towards Understanding Preservation of Periodic Object Motion in Computed Tomography.
Proceedings of the Bildverarbeitung für die Medizin 2017 - Algorithmen - Systeme, 2017

A Kernel Ridge Regression Model for Respiratory Motion Estimation in Radiotherapy.
Proceedings of the Bildverarbeitung für die Medizin 2017 - Algorithmen - Systeme, 2017

2016
A new weighted anisotropic total variation algorithm for limited angle tomography.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

Image Quality Analysis of Limited Angle Tomography Using the Shift-Variant Data Loss Model.
Proceedings of the Bildverarbeitung für die Medizin 2016 - Algorithmen - Systeme, 2016

Make the Most of Time Temporal Extension of the iTV Algorithm for 4D Cardiac C-Arm CT.
Proceedings of the Bildverarbeitung für die Medizin 2016 - Algorithmen - Systeme, 2016

2015
Estimate, Compensate, Iterate: Joint Motion Estimation and Compensation in 4-D Cardiac C-arm Computed Tomography.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015

Sharp as a Tack.
Proceedings of the Bildverarbeitung für die Medizin 2015, Algorithmen - Systeme, 2015

Projection-Based Denoising Method for Photon-Counting Energy-Resolving Detectors.
Proceedings of the Bildverarbeitung für die Medizin 2015, Algorithmen - Systeme, 2015

2014
Fast Interpolation of Dense Motion Fields from Synthetic Phantoms.
Proceedings of the Bildverarbeitung für die Medizin 2014, Algorithmen - Systeme, 2014

2013
GPU-Accelerated Time-of-Flight Super-Resolution for Image-Guided Surgery.
Proceedings of the Bildverarbeitung für die Medizin 2013 - Algorithmen - Systeme, 2013


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