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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
8622018
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
5522016
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
3622019
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
2972017
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
2302019
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
2142019
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
642018
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
611811
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
472018
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
392013
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
352021
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
282021
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
282020
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
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
222020
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
192016
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
192015
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
132018
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
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