Felix Thielke

Orcid: 0000-0003-1627-6135

According to our database1, Felix Thielke authored at least 10 papers between 2019 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Suitability of DNN-based vessel segmentation for SIRT planning.
Int. J. Comput. Assist. Radiol. Surg., February, 2024

Comparative evaluation of uncertainty estimation and decomposition methods on liver segmentation.
Int. J. Comput. Assist. Radiol. Surg., February, 2024

2023
Combining arterial and venous CT scans in a multi-encoder network for improved hepatic vessel segmentation.
Proceedings of the Medical Imaging 2023: Image Processing, 2023

Abstract: Liver Tumor Segmentation in Late-phase MRI using Multi-model Training and an Anisotropic U-Net.
Proceedings of the Bildverarbeitung für die Medizin 2023, 2023

2022
Improving deep learning based liver vessel segmentation using automated connectivity analysis.
Proceedings of the Medical Imaging 2022: Image Processing, 2022

Confidence Histograms for Model Reliability Analysis and Temperature Calibration.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022

Hepatic artery segmentation with 3D convolutional neural networks.
Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, 2022

Robust Liver Segmentation with Deep Learning Across DCE-MRI Contrast Phases.
Proceedings of the Bildverarbeitung für die Medizin 2022, 2022

2021
Extraction of Kidney Anatomy Based on a 3D U-ResNet with Overlap-Tile Strategy.
Proceedings of the Kidney and Kidney Tumor Segmentation - MICCAI 2021 Challenge, 2021

2019
A JIT Compiler for Neural Network Inference.
Proceedings of the RoboCup 2019: Robot World Cup XXIII [Sydney, 2019


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