Markus Rempfler
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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
5342018
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
4282016
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
2192017
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
1892019
Self-organization and symmetry breaking in intestinal organoid development
D Serra, U Mayr, A Boni, I Lukonin, M Rempfler, LC Meylan, MB Stadler, ...
Nature 569 (7754), 66-72, 2019
1372019
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
1222019
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
371811
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
322013
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
312018
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
242015
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
172016
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
162015
Verse: a vertebrae labelling and segmentation benchmark
A Sekuboyina, A Bayat, ME Husseini, M Löffler, M Rempfler, J Kukačka, ...
arXiv preprint arXiv:2001.09193, 2020
152020
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
132017
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
122017
Uncertainty quantification in brain tumor segmentation using CRFs and random perturbation models
E Alberts, M Rempfler, G Alber, T Huber, J Kirschke, C Zimmer, BH Menze
2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI), 428-431, 2016
112016
Extracting vascular networks under physiological constraints via integer programming
M Rempfler, M Schneider, GD Ielacqua, X Xiao, SR Stock, J Klohs, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2014
102014
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
92018
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
82020
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
62016
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