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Markus Rempfler
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
18622018
The liver tumor segmentation benchmark (lits)
P Bilic, P Christ, HB Li, E Vorontsov, A Ben-Cohen, G Kaissis, A Szeskin, ...
Medical Image Analysis 84, 102680, 2023
10662023
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, ...
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2016: 19th …, 2016
8062016
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
4562019
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
4252017
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
4082019
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
2142021
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
1212018
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
1112021
Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge. arXiv preprint …
S Bakas, M Reyes, A Jakab, S Bauer, M Rempfler, A Crimi, RT Shinohara, ...
arXiv, 1811
881811
Btrfly net: Vertebrae labelling with energy-based adversarial learning of local spine prior
A Sekuboyina, M Rempfler, J Kukačka, G Tetteh, A Valentinitsch, ...
Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018
752018
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
422013
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
402020
Verse: a vertebrae labelling and segmentation benchmark
A Sekuboyina, A Bayat, ME Husseini, M Löffler, M Rempfler, J Kukačka, ...
332020
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
282015
Hierarchical multi-organ segmentation without registration in 3D abdominal CT images
V Zografos, A Valentinitsch, M Rempfler, F Tombari, B Menze
Medical Computer Vision: Algorithms for Big Data: International Workshop …, 2016
242016
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
232018
deepBlink: threshold-independent detection and localization of diffraction-limited spots
BT Eichenberger, YX Zhan, M Rempfler, L Giorgetti, JA Chao
Nucleic Acids Research 49 (13), 7292-7297, 2021
212021
The minimum cost connected subgraph problem in medical image analysis
M Rempfler, B Andres, BH Menze
Medical Image Computing and Computer-Assisted Intervention-MICCAI 2016: 19th …, 2016
212016
Cell fate coordinates mechano-osmotic forces in intestinal crypt morphogenesis
Q Yang, SL Xue, CJ Chan, M Rempfler, D Vischi, FM Gutierrez, T Hiiragi, ...
BioRxiv, 2020.05. 13.094359, 2020
162020
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