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Felix Thielke
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2020 – today
- 2024
- [j2]Farina Kock
, Felix Thielke
Suitability of DNN-based vessel segmentation for SIRT planning. Int. J. Comput. Assist. Radiol. Surg. 19(2): 233-240 (2024) - [j1]Vanja Sophie Cangalovic
Comparative evaluation of uncertainty estimation and decomposition methods on liver segmentation. Int. J. Comput. Assist. Radiol. Surg. 19(2): 253-260 (2024) - 2023
- [c8]Annika Gerken, Grzegorz Chlebus, Hans Meine, Felix Thielke, Farina Kock, Tobias Paulus, Nasreddin Abolmaali, Andrea Schenk
Abstract: Liver Tumor Segmentation in Late-phase MRI using Multi-model Training and an Anisotropic U-Net. Bildverarbeitung für die Medizin 2023: 18 - [c7]Felix Thielke
Combining arterial and venous CT scans in a multi-encoder network for improved hepatic vessel segmentation. Medical Imaging: Image Processing 2023 - 2022
- [c6]Annika Hänsch
Robust Liver Segmentation with Deep Learning Across DCE-MRI Contrast Phases. Bildverarbeitung für die Medizin 2022: 13-18 - [c5]Farina Kock
Hepatic artery segmentation with 3D convolutional neural networks. Medical Imaging: Computer-Aided Diagnosis 2022 - [c4]Farina Kock, Felix Thielke, Grzegorz Chlebus, Hans Meine:
Confidence Histograms for Model Reliability Analysis and Temperature Calibration. MIDL 2022: 741-759 - [c3]Felix Thielke
Improving deep learning based liver vessel segmentation using automated connectivity analysis. Medical Imaging: Image Processing 2022 - 2021
- [c2]Jannes Adam, Niklas Agethen, Robert Bohnsack, René Finzel, Timo Günnemann, Lena Philipp, Marcel Plutat, Markus Rink, Tingting Xue
Extraction of Kidney Anatomy Based on a 3D U-ResNet with Overlap-Tile Strategy. KiTS@MICCAI 2021: 13-21
2010 – 2019
- 2019
- [c1]Felix Thielke
A JIT Compiler for Neural Network Inference. RoboCup 2019: 448-456 - [i1]Felix Thielke, Arne Hasselbring:
A JIT Compiler for Neural Network Inference. CoRR abs/1906.05737 (2019)
Coauthor Index
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