| Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge S Bakas, M Reyes, A Jakab, S Bauer, M Rempfler, A Crimi, RT Shinohara, ... arXiv preprint arXiv:1811.02629, 2018 | 862 | 2018 |
| 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 | 552 | 2016 |
| 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 | 362 | 2019 |
| 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 | 297 | 2017 |
| Self-organization and symmetry breaking in intestinal organoid development D Serra, U Mayr, A Boni, I Lukonin, M Rempfler, L Challet Meylan, ... Nature 569 (7754), 66-72, 2019 | 230 | 2019 |
| Panoptic imaging of transparent mice reveals whole-body neuronal projections and skull–meninges connections R Cai, C Pan, A Ghasemigharagoz, MI Todorov, B Förstera, S Zhao, ... Nature neuroscience 22 (2), 317-327, 2019 | 214 | 2019 |
| Identifying the best machine learning algorithms for brain tumor segmentation S Bakas, M Reyes, A Jakab, S Bauer, M Rempfler, A Crimi, RT Shinohara, ... Progression Assessment, and Overall Survival Prediction in the BRATS …, 2018 | 64 | 2018 |
| Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge. CoRR abs/1811 … S Bakas, M Reyes, A Jakab, S Bauer, M Rempfler, A Crimi, RT Shinohara, ... arXiv preprint arxiv:1811.02629, 1811 | 61 | 1811 |
| Btrfly net: Vertebrae labelling with energy-based adversarial learning of local spine prior A Sekuboyina, M Rempfler, J Kukačka, G Tetteh, A Valentinitsch, ... International Conference on Medical Image Computing and Computer-Assisted …, 2018 | 47 | 2018 |
| Textrode-enabled transthoracic electrical bioimpedance measurements–towards wearable applications of impedance cardiography JC Marquez, M Rempfler, F Seoane, K Lindecrantz Journal of Electrical Bioimpedance 4 (1), 45-50, 2013 | 39 | 2013 |
| VerSe: a vertebrae labelling and segmentation benchmark for multi-detector CT images A Sekuboyina, ME Husseini, A Bayat, M Löffler, H Liebl, H Li, G Tetteh, ... Medical image analysis 73, 102166, 2021 | 35 | 2021 |
| Cell fate coordinates mechano-osmotic forces in intestinal crypt formation Q Yang, SL Xue, CJ Chan, M Rempfler, D Vischi, F Maurer-Gutierrez, ... Nature Cell Biology 23 (7), 733-744, 2021 | 28 | 2021 |
| Verse: a vertebrae labelling and segmentation benchmark A Sekuboyina, A Bayat, ME Husseini, M Löffler, M Rempfler, J Kukačka, ... arXiv. org e-Print archive, 2020 | 28 | 2020 |
| Reconstructing cerebrovascular networks under local physiological constraints by integer programming M Rempfler, M Schneider, GD Ielacqua, X Xiao, SR Stock, J Klohs, ... Medical Image Analysis 25 (1), 86-94, 2015 | 24 | 2015 |
| Labeling vertebrae with two-dimensional reformations of multidetector CT images: an adversarial approach for incorporating prior knowledge of spine anatomy A Sekuboyina, M Rempfler, A Valentinitsch, BH Menze, JS Kirschke Radiology: Artificial Intelligence 2 (2), e190074, 2020 | 22 | 2020 |
| The minimum cost connected subgraph problem in medical image analysis M Rempfler, B Andres, BH Menze International Conference on Medical Image Computing and Computer-Assisted …, 2016 | 19 | 2016 |
| Hierarchical multi-organ segmentation without registration in 3D abdominal CT images V Zografos, A Valentinitsch, M Rempfler, F Tombari, B Menze International MICCAI Workshop on Medical Computer Vision, 37-46, 2015 | 19 | 2015 |
| Tracing cell lineages in videos of lens-free microscopy M Rempfler, V Stierle, K Ditzel, S Kumar, P Paulitschke, B Andres, ... Medical image analysis 48, 147-161, 2018 | 13 | 2018 |
| Cell lineage tracing in lens-free microscopy videos M Rempfler, S Kumar, V Stierle, P Paulitschke, B Andres, BH Menze International Conference on Medical Image Computing and Computer-Assisted …, 2017 | 13 | 2017 |
| Efficient algorithms for moral lineage tracing M Rempfler, JH Lange, F Jug, C Blasse, EW Myers, BH Menze, B Andres Proceedings of the IEEE International Conference on Computer Vision, 4695-4704, 2017 | 12 | 2017 |
Bjoern H MenzeUniversität Zürich, TU MünchenVerified email at uzh.ch
