Fraunhofer Institute for Digital Medicine MEVIS
Fraunhofer Institute for Digital Medicine MEVIS

Felix Thielke

Research Interests

  • Image Analysis & Artificial Intelligence
  • Deep Learning
  • Image Segmentation

Publications

2024

Kock F, Thielke F, Abolmaali N, Meine H, Schenk A (2024) Suitability of DNN-based vessel segmentation for SIRT planning. Int J CARS 19(2):233–240
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2023

Cangalovic VS, Thielke F, Meine H (2023) Comparative evaluation of uncertainty estimation and decomposition methods on liver segmentation. Int J CARS online first
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Gerken A, Thielke F, Meine H, Singer S, Froelich MF, Becker LS, Hinrichs J, Schenk A (2023) Importance of the late hepatobiliary phase of DCE-MRI for automatic liver lesion detection and segmentation. European Congress of Radiology
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Kock F, Thielke F, Abolmaali N, Meine H, Schenk A (2023) Suitability of DNN-based vessel segmentation for SIRT planning. Int J CARS
doi
Thielke F, Kock F, Hänsch A, Abolmaali N, Schenk A, Meine H (2023) Combining arterial and venous CT scans in a multi-encoder network for improved hepatic vessel segmentation. Proc. SPIE Medical Imaging 2023: Image Processing. Proc.SPIE 12464, 124640B
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2022

Adam J, Agethen N, Bohnsack R, Finzel R, Günnemann T, Philipp L, Plutat M, Rink M, Xue T, Thielke F, Meine H (2022) Extraction of Kidney Anatomy Based on a 3D U-ResNet with Overlap-Tile Strategy. Kidney and Kidney Tumor Segmentation. KiTS 2021. Lecture Notes in Computer Science
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Hänsch A, Thielke F, Meine H, Rennebaum S, Froelich MF, Becker LS, Hinrichs JB, Schenk A (2022) Robust Liver Segmentation with Deep Learning Across DCE-MRI Contrast Phases. In: Maier-Hein K, Deserno TM, Handels H, Maier A, Palm C, Tolxdorff T (eds) Bildverarbeitung für die Medizin 2022. Springer Fachmedien Wiesbaden, Wiesbaden, pp 13–18
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Hänsch A, Chlebus G, Meine H, Thielke F, Kock F, Paulus T, Abolmaali N, Schenk A (2022) Improving automatic liver tumor segmentation in late-phase MRI using multi-model training and 3D convolutional neural networks. Sci Rep 12:12262
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Kock F, Chlebus G, Thielke F, Schenk A, Meine H (2022) Hepatic artery segmentation with 3D convolutional neural networks. Proc. SPIE Medical Imaging 2022: Computer-Aided Diagnosis. Proc. SPIE 12033, pp 437–441
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Kock F, Thielke F, Grzegorz C, Meine H (2022) Confidence Histograms for Model Reliability Analysis and Temperature Calibration. Proceedings of the International Conference on Medical Imaging with Deep Learning (MIDL 2022). pp 741–759
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Thielke F, Kock F, Hänsch A, Georgii J, Abolmaali N, Endo I, Meine H, Schenk A (2022) Improving deep learning based liver vessel segmentation using automated connectivity analysis. Proc. SPIE Medical Imaging 2022: Image Processing. Proc. SPIE 12032, pp 886–892
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