| Automatic liver and lesion segmentation in CT using cascaded fully convolutional neural networks and 3D conditional random fields PF Christ, MEA Elshaer, F Ettlinger, S Tatavarty, M Bickel, P Bilic, ... International Conference on Medical Image Computing and Computer-Assisted …, 2016 | 394 | 2016 |
| 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 | 201 | 2017 |
| 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 | 151 | 2019 |
| A large annotated medical image dataset for the development and evaluation of segmentation algorithms AL Simpson, M Antonelli, S Bakas, M Bilello, K Farahani, B Van Ginneken, ... arXiv preprint arXiv:1902.09063, 2019 | 147 | 2019 |
| Automated whole-body bone lesion detection for multiple myeloma on 68Ga-pentixafor PET/CT imaging using deep learning methods L Xu, G Tetteh, J Lipkova, Y Zhao, H Li, P Christ, M Piraud, A Buck, K Shi, ... Contrast media & molecular imaging 2018, 2018 | 46 | 2018 |
| 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, ... IEEE International Symposium on Biomedical Imaging 2017, 2017 | 20 | 2017 |
| A large annotated medical image dataset for the development and evaluation of segmentation algorithms. 2019 AL Simpson, M Antonelli, S Bakas, M Bilello, K Farahani, B Van Ginneken, ... arXiv preprint arXiv:1902.09063, 1902 | 15 | 1902 |
| Lits-liver tumor segmentation challenge P Christ, F Ettlinger, F Grün, J Lipkova, G Kaissis ISBI and MICCAI, 2017 | 13 | 2017 |
| Diabetes60 - Inferring Bread Units From Food Images Using Fully Convolutional Neural Networks P F. Christ, S Schlecht, F Ettlinger, F Grun, C Heinle, S Tatavatry, ... Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 7* | 2017 |
| Human-drone-interaction: A case study to investigate the relation between autonomy and user experience PF Christ, F Lachner, A Hösl, B Menze, K Diepold, A Butz European conference on computer vision, 238-253, 2016 | 7 | 2016 |
| October. Automatic liver and lesion segmentation in CT using cascaded fully convolutional neural networks and 3D conditional random fields PF Christ, MEA Elshaer, F Ettlinger, S Tatavarty, M Bickel, P Bilic, ... International Conference on Medical Image Computing and Computer-Assisted …, 2016 | 6 | 2016 |
| Automated unsupervised segmentation of liver lesions in ct scans via cahn-hilliard phase separation J Lipková, M Rempfler, P Christ, J Lowengrub, BH Menze arXiv preprint arXiv:1704.02348, 2017 | 5 | 2017 |
| W-Net for Whole-Body Bone Lesion Detection on Ga-Pentixafor PET/CT Imaging of Multiple Myeloma Patients L Xu, G Tetteh, M Mustafa, J Lipkova, Y Zhao, M Bieth, P Christ, M Piraud, ... Molecular Imaging, Reconstruction and Analysis of Moving Body Organs, and …, 2017 | 4 | 2017 |
| Die Hauptkomponentenanalyse von ADC-Histogrammen als prädiktiver Faktor im HCC G Kaissis, F Ettlinger, F Ahmaddy, P Chakrabarti, P Christ, B Menze, ... RöFo-Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden …, 2017 | | 2017 |
| Convolutional Neural Networks for Classification and Segmentation of Medical Images PF Christ Technische Universität München, 2017 | | 2017 |
Bjoern H MenzeUniversität Zürich, TU MünchenVerified email at uzh.ch
