| The liver tumor segmentation benchmark (lits) P Bilic, PF Christ, E Vorontsov, G Chlebus, H Chen, Q Dou, CW Fu, X Han, ... arXiv preprint arXiv:1901.04056, 2019 | 945* | 2019 |
| Automatic liver and tumor segmentation of CT and MRI volumes using cascaded fully convolutional neural networks. 2017 PF Christ, F Ettlinger, F Grün URL http://arxiv. org/abs/1702.05970. Cited on, 4, 0 | 424* | |
| Automatic liver and tumor segmentation of CT and MRI volumes using cascaded fully convolutional neural networks PF Christ, F Ettlinger, F Grün, MEA Elshaera, J Lipkova, S Schlecht, ... arXiv preprint arXiv:1702.05970, 2017 | 422 | 2017 |
| A taxonomy and library for visualizing learned features in convolutional neural networks F Grün, C Rupprecht, N Navab, F Tombari arXiv preprint arXiv:1606.07757, 2016 | 98 | 2016 |
| SurvivalNet: Predicting patient survival from diffusion weighted magnetic resonance images using cascaded fully convolutional and 3D convolutional neural networks PF Christ, F Ettlinger, G Kaissis, S Schlecht, F Ahmaddy, F Grün, ... 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017 …, 2017 | 44 | 2017 |
| Lits-liver tumor segmentation challenge P Christ, F Ettlinger, F Grün, J Lipkova, G Kaissis ISBI and MICCAI, 2017 | 22 | 2017 |
| A taxonomy and library for visualizing learned features in convolutional neural networks FT Felix Grün, Christian Rupprecht, Nassir Navab 33rd International Conference on Machine Learning (ICML) Workshop on …, 2016 | | 2016 |
