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Author

Felix Thielke

Observed names: F Thielke, Thielke, Felix
ORCID: 0000-0003-1627-6135
Observed ORCID: 0000-0003-1627-6135
OpenAlex ID: A5017023349
Improving automatic liver tumor segmentation in late-phase MRI using multi-model training and 3D convolutional neural networks
2022 · Annika Hänsch, Grzegorz Chlebus, et al. · Scientific Reports · 48
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Biomedical image analysis competitions: The state of current participation practice
2022 · Eisenmann, Matthias, Reinke, Annika, et al. · arXiv (Cornell University) · 47
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A JIT Compiler for Neural Network Inference
2019 · Felix Thielke, Arne Hasselbring · Lecture notes in computer science · 14
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Comparative evaluation of uncertainty estimation and decomposition methods on liver segmentation
2023 · Vanja Sophie Cangalovic, Felix Thielke, et al. · International Journal of Computer Assisted Radiology and Surgery · 7
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Improving deep learning based liver vessel segmentation using automated connectivity analysis
2022 · Felix Thielke, Farina Kock, et al. · SPIE Medical Imaging: Image Processing · 4
Suitability of DNN-based vessel segmentation for SIRT planning
2023 · Farina Kock, Felix Thielke, et al. · International Journal of Computer Assisted Radiology and Surgery · 3
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Extraction of Kidney Anatomy Based on a 3D U-ResNet with Overlap-Tile Strategy
2022 · Jannes Adam, Niklas Agethen, et al. · Lecture notes in computer science · 3
Hepatic artery segmentation with 3D convolutional neural networks
2022 · Farina Kock, Grzegorz Chlebus, et al. · SPIE Medical Imaging: Computer-Aided Diagnosis · 2
Deep-learning-based outcome prediction from endoscopic videos for robot-assisted radical prostatectomy
2025 · Chiara Tappermann, Felix Thielke, et al. · SPIE Medical Imaging: Image Processing · 1
Abstract: Liver Tumor Segmentation in Late-phase MRI using Multi-model Training and an Anisotropic U-Net
2023 · Annika Gerken, Grzegorz Chlebus, et al. · Informatik aktuell · 1
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Combining arterial and venous CT scans in a multi-encoder network for improved hepatic vessel segmentation
2023 · Felix Thielke, Farina Kock, et al. · SPIE Medical Imaging: Image Processing · 1
Robust Liver Segmentation with Deep Learning Across DCE-MRI Contrast Phases
2022 · Annika Hänsch, Felix Thielke, et al. · Informatik aktuell · 1
Nutzer-unabhängige KI-basierte MRT-Analyse der Leberfunktion bei Patienten mit primär sklerosierender Cholangitis
2026 · S Dornbusch, R Fehling, et al. · RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren
Clinical Usability of AI Segmentations for Liver Surgical Planning
2025 · Farina Kock, Felix Thielke, et al. · Current Directions in Biomedical Engineering
Quantized Neural Networks for Ball Detection on the NAO Robot: An Optimized Implementation
2025 · Felix Thielke · Lecture notes in computer science
Automatisierte Segmentierung pulmonaler Arterien und Venen in Thorax-CTs
2025 · K Heber, B Lassen-Schmidt, et al. · RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren
Confidence Histograms for Model Reliability Analysis and Temperature Calibration
2022 · Kock, Farina, Thielke, Felix, et al. · Fraunhofer-Publica (Fraunhofer-Gesellschaft)
Team Report and Code Release 2015
2015 · Tim Laue, Jesse Richter-Klug, et al.
Works count: 19
Citation count: 132
H-index: 4
I10-index: 3
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