Christoph-Nikolas Straehle
Christoph-Nikolas Straehle
Research Scientist, Bosch Center for Artificial Intelligence
Verified email at
Cited by
Cited by
Ilastik: Interactive learning and segmentation toolkit
C Sommer, C Straehle, U Koethe, FA Hamprecht
2011 IEEE international symposium on biomedical imaging: From nano to macro …, 2011
Automated detection and segmentation of synaptic contacts in nearly isotropic serial electron microscopy images
A Kreshuk, CN Straehle, C Sommer, U Koethe, M Cantoni, G Knott, ...
PloS one 6 (10), e24899, 2011
Globally consistent multi-label assignment on the ray space of 4d light fields
S Wanner, C Straehle, B Goldluecke
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2013
Ilastik: interactive machine learning for (bio) image analysis
S Berg, D Kutra, T Kroeger, CN Straehle, BX Kausler, C Haubold, ...
Nature Methods, 1-7, 2019
Correlative in vivo 2 photon and focused ion beam scanning electron microscopy of cortical neurons
B Maco, A Holtmaat, M Cantoni, A Kreshuk, CN Straehle, FA Hamprecht, ...
PloS one 8 (2), e57405, 2013
Carving: scalable interactive segmentation of neural volume electron microscopy images
CN Straehle, U Köthe, G Knott, FA Hamprecht
International Conference on Medical Image Computing and Computer-Assisted …, 2011
from Nano to Macro
B Imaging
2010 IEEE International Symposium on, 2011
Automated segmentation of synapses in 3D EM data
A Kreshuk, CN Straehle, C Sommer, U Koethe, G Knott, FA Hamprecht
2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro …, 2011
Seeded watershed cut uncertainty estimators for guided interactive segmentation
CN Straehle, U Koethe, G Knott, K Briggman, W Denk, FA Hamprecht
2012 IEEE Conference on Computer Vision and Pattern Recognition, 765-772, 2012
Conditional flow variational autoencoders for structured sequence prediction
A Bhattacharyya, M Hanselmann, M Fritz, B Schiele, CN Straehle
arXiv preprint arXiv:1908.09008, 2019
Biomedical Imaging: From Nano to Macro
C Sommer, C Straehle, U Köthe, FA Hamprecht
IEEE Internat. Symposium, 230-233, 2011
Interactive learning and segmentation tool kit
C Sommer, C Straehle, U Koethe, F Hamprecht
Systems Biology of Human Disease, 230-33, 2010
K-smallest spanning tree segmentations
C Straehle, S Peter, U Köthe, FA Hamprecht
German Conference on Pattern Recognition, 375-384, 2013
Including multi-feature interactions and redundancy for feature ranking in mixed datasets
AK Shekar, T Bocklisch, PI Sánchez, CN Straehle, E Müller
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2017
Weakly supervised learning of image partitioning using decision trees with structured split criteria
C Straehle, U Koethe, FA Hamprecht
Proceedings of the IEEE International Conference on Computer Vision, 1849-1856, 2013
Multiple instance learning with response-optimized random forests
C Straehle, M Kandemir, U Koethe, FA Hamprecht
2014 22nd International Conference on Pattern Recognition, 3768-3773, 2014
Haar Wavelet based Block Autoregressive Flows for Trajectories
A Bhattacharyya, CN Straehle, M Fritz, B Schiele
arXiv preprint arXiv:2009.09878, 2020
Interactive Segmentation, Uncertainty and Learning
CN Straehle
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