| B-human: Team Report and Code Release 2016 T Röfer, T Laue, J Kuball, A Lübken, F Maaß, J Müller, L Post, ... Deutschen Forschungszentrums für Künstliche Intelligenz (DFKI) GmbH, 2016 | 127 | 2016 |
| B-human: Team Description for RoboCup 2016 T Röfer, T Laue, J Richter-Klug, F Thielke German Research Center for Artificial Intelligence (DFKI), 2016 | 17 | 2016 |
| Improving automatic liver tumor segmentation in late-phase MRI using multi-model training and 3D convolutional neural networks A Hänsch, G Chlebus, H Meine, F Thielke, F Kock, T Paulus, N Abolmaali, ... Scientific Reports 12 (1), 12262, 2022 | 16 | 2022 |
| A JIT compiler for neural network inference F Thielke, A Hasselbring RoboCup 2019: Robot World Cup XXIII 23, 448-456, 2019 | 16 | 2019 |
| B-Human team report and code release 2017 (2017) T Röfer, T Laue, Y Bülter, D Krause, J Kuball, A Mühlenbrock, B Poppinga, ... Only available online: http://www. b-human. de/downloads/publications/2017 …, 0 | 8 | |
| B-Human team report and code release 2018 (2018) T Röfer, T Laue, A Hasselbring, J Heyen, B Poppinga, P Reichenberg, ... Only available online: http://www. b-human. de/downloads/publications/2018 …, 0 | 6 | |
| B-Human team report and code release 2015, 2015 T Röfer, T Laue, J Richter-Klug, M Schünemann, J Stiensmeier, ... Only available online: http://www. b-human. de/downloads/publications/2015 …, 0 | 5 | |
| B-Human team report and code release 2016 (2016) T Röfer, T Laue, J Kuball, A Lübken, F Maaß, J Müller, L Post, ... Only available online: http://www. b-human. de/downloads/publications/2016 …, 0 | 4 | |
| Improving deep learning based liver vessel segmentation using automated connectivity analysis F Thielke, F Kock, A Hänsch, J Georgii, N Abolmaali, I Endo, H Meine, ... Medical Imaging 2022: Image Processing 12032, 886-892, 2022 | 3 | 2022 |
| Hepatic artery segmentation with 3D convolutional neural networks F Kock, G Chlebus, F Thielke, A Schenk, H Meine Medical Imaging 2022: Computer-Aided Diagnosis 12033, 451-455, 2022 | 3 | 2022 |
| Extraction of kidney anatomy based on a 3D U-ResNet with overlap-tile Strategy J Adam, N Agethen, R Bohnsack, R Finzel, T Günnemann, L Philipp, ... International Challenge on Kidney and Kidney Tumor Segmentation, 13-21, 2021 | 3 | 2021 |
| Confidence histograms for model reliability analysis and temperature calibration F Kock, F Thielke, G Chlebus, H Meine International Conference on Medical Imaging with Deep Learning, 741-759, 2022 | 2 | 2022 |
| Combining arterial and venous CT scans in a multi-encoder network for improved hepatic vessel segmentation F Thielke, F Kock, A Hänsch, N Abolmaali, A Schenk, H Meine Medical Imaging 2023: Image Processing 12464, 66-70, 2023 | 1 | 2023 |
| Robust liver segmentation with deep learning across DCE-MRI contrast phases A Hänsch, F Thielke, H Meine, S Rennebaum, MF Froelich, LS Becker, ... Bildverarbeitung für die Medizin 2022: Proceedings, German Workshop on …, 2022 | 1 | 2022 |
| Comparative evaluation of uncertainty estimation and decomposition methods on liver segmentation VS Cangalovic, F Thielke, H Meine International Journal of Computer Assisted Radiology and Surgery 19 (2), 253-260, 2024 | | 2024 |
| Suitability of DNN-based vessel segmentation for SIRT planning F Kock, F Thielke, N Abolmaali, H Meine, A Schenk International Journal of Computer Assisted Radiology and Surgery 19 (2), 233-240, 2024 | | 2024 |
| Liver Tumor Segmentation in Late-phase MRI using Multi-model Training and an Anisotropic U-Net A Gerken, G Chlebus, H Meine, F Thielke, F Kock, T Paulus, N Abolmaali, ... BVM Workshop, 18-18, 2023 | | 2023 |
| Extraction of Kidney Anatomy Based on a 3D U-ResNet with Overlap-Tile Strategy T Xue, F Thielke, H Meine Kidney and Kidney Tumor Segmentation: MICCAI 2021 Challenge, KiTS 2021, Held …, 2022 | | 2022 |
| Eine Deep-Learning-basierte Bildverarbeitung für humanoide Roboter zur Erkennung von Merkmalen auf der Bodenebene F Thielke | | 2019 |
| Erkennung beliebiger Bälle durch den humanoiden Roboter NAO in der RoboCup Standard Platform League F Thielke | | 2016 |
