| The liver tumor segmentation benchmark (lits) P Bilic, P Christ, HB Li, E Vorontsov, A Ben-Cohen, G Kaissis, A Szeskin, ... Medical Image Analysis 84, 102680, 2023 | 953 | 2023 |
| Automatic liver tumor segmentation in CT with fully convolutional neural networks and object-based postprocessing G Chlebus, A Schenk, JH Moltz, B van Ginneken, HK Hahn, H Meine Scientific reports 8 (1), 15497, 2018 | 223 | 2018 |
| Neural network-based automatic liver tumor segmentation with random forest-based candidate filtering G Chlebus, H Meine, JH Moltz, A Schenk arXiv preprint arXiv:1706.00842, 2017 | 84 | 2017 |
| Reducing inter-observer variability and interaction time of MR liver volumetry by combining automatic CNN-based liver segmentation and manual corrections G Chlebus, H Meine, S Thoduka, N Abolmaali, B Van Ginneken, HK Hahn, ... PloS one 14 (5), e0217228, 2019 | 50 | 2019 |
| The liver tumor segmentation benchmark (lits). arXiv 2019 P Bilic, PF Christ, E Vorontsov, G Chlebus, H Chen, Q Dou, CW Fu, X Han, ... arXiv preprint arXiv:1901.04056 15, 16, 2019 | 46 | 2019 |
| Anisotropic 3D multi-stream CNN for accurate prostate segmentation from multi-planar MRI A Meyer, G Chlebus, M Rak, D Schindele, M Schostak, B van Ginneken, ... Computer Methods and Programs in Biomedicine 200, 105821, 2021 | 39 | 2021 |
| Deep learning based automatic liver tumor segmentation in CT with shape-based post-processing G Chlebus, A Schenk, JH Moltz, B van Ginneken, HK Hahn, H Meine | 27 | 2022 |
| Comparison of u-net-based convolutional neural networks for liver segmentation in ct H Meine, G Chlebus, M Ghafoorian, I Endo, A Schenk arXiv preprint arXiv:1810.04017, 2018 | 19 | 2018 |
| 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 |
| Three-dimensional neural network to automatically assess liver tumor burden change on consecutive liver MRIs A Goehler, TMH Hsu, R Lacson, I Gujrathi, R Hashemi, G Chlebus, ... Journal of the American College of Radiology 17 (11), 1475-1484, 2020 | 16 | 2020 |
| The Liver Tumor Segmentation Benchmark (LiTS). 2019 P Bilic, PC Ferdinand, E Vorontsov, G Chlebus, H Chen, Q Dou, CW Fu, ... arXiv preprint arXiv:1901.04056, 1901 | 14 | 1901 |
| Neural network-based automatic liver tumor segmentation with random forest-based candidate filtering. arXiv 2017 G Chlebus, H Meine, JH Moltz, A Schenk arXiv preprint arXiv:1706.00842, 0 | 11 | |
| Robust segmentation models using an uncertainty slice sampling-based annotation workflow G Chlebus, A Schenk, HK Hahn, B Van Ginneken, H Meine IEEE Access 10, 4728-4738, 2022 | 9 | 2022 |
| Automatic liver and tumor segmentation in late-phase MRI using fully convolutional neural networks G Chlebus, H Meine, N Abolmaali, A Schenk Proceedings of CURAC, 195-200, 2018 | 8 | 2018 |
| Feasibility of end-to-end trainable two-stage u-net for detection of axillary lymph nodes in contrast-enhanced ct based on sparse annotations HC Altun, G Chlebus, C Jacobs, H Meine, B van Ginneken, HK Hahn Medical Imaging 2020: Computer-Aided Diagnosis 11314, 318-329, 2020 | 5 | 2020 |
| Relevance analysis of mri sequences for automatic liver tumor segmentation G Chlebus, N Abolmaali, A Schenk, H Meine arXiv preprint arXiv:1907.11773, 2019 | 5 | 2019 |
| 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 |
| Adaptive confidence regions of motion predictions from population exemplar models G Samei, G Chlebus, G Székely, C Tanner Abdominal Imaging. Computation and Clinical Applications: 5th International …, 2013 | 3 | 2013 |
| 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 |
| The liver tumor segmentation benchmark (LiTS). 1–43 P Bilic, PF Christ, E Vorontsov, G Chlebus, H Chen, Q Dou, CW Fu, X Han, ... arXiv preprint arXiv:1901.04056, 2019 | 2 | 2019 |
