Dmitry Laptev
Dmitry Laptev
ETH Zurich
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Cited by
Cited by
Crowdsourcing the creation of image segmentation algorithms for connectomics
I Arganda-Carreras, SC Turaga, DR Berger, D Cireşan, A Giusti, ...
Frontiers in neuroanatomy 9, 142, 2015
TI-POOLING: transformation-invariant pooling for feature learning in convolutional neural networks
D Laptev, N Savinov, JM Buhmann, M Pollefeys
Proceedings of the IEEE conference on computer vision and pattern …, 2016
Anisotropic sstem image segmentation using dense correspondence across sections
D Laptev, A Vezhnevets, S Dwivedi, JM Buhmann
International Conference on Medical Image Computing and Computer-Assisted …, 2012
Automatic human sleep stage scoring using deep neural networks
A Malafeev, D Laptev, S Bauer, X Omlin, A Wierzbicka, A Wichniak, ...
Frontiers in neuroscience 12, 781, 2018
Transformation-invariant convolutional jungles
D Laptev, JM Buhmann
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015
Convolutional decision trees for feature learning and segmentation
D Laptev, JM Buhmann
German Conference on Pattern Recognition, 95-106, 2014
Parameter-free discovery and recommendation of areas-of-interest
D Laptev, A Tikhonov, P Serdyukov, G Gusev
Proceedings of the 22nd ACM SIGSPATIAL International Conference on Advances …, 2014
Variational segmentation algorithms with label frequency constraints
D Kropotov, D Laptev, A Osokin, D Vetrov
Pattern Recognition and Image Analysis 20 (3), 324-334, 2010
Method of and system for parameter-free discovery and recommendation of areas-of-interest
DA Laptev, PV Serdyukov, AV Tikhonov, GG Gusev
US Patent 9,971,775, 2018
Automatic detection of cell division intensity in budding yeast
K Nekrasov, D Laptev, D Vetrov
10th International Conference on Pattern Recognition and Image Analysis: New …, 2010
Superslicing frame restoration for anisotropic sstem
D Laptev, A Veznevets, JM Buhmann
2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI), 1198-1201, 2014
Automatic determination of cell division rate using microscope images
KV Nekrasov, DA Laptev, DP Vetrov
Pattern recognition and image analysis 23 (1), 105-110, 2013
Signal segmentation with label frequency constraints using dual decomposition approach for hidden Markov models
D Kropotov, D Laptev, A Osokin, D Vetrov
Intellectualization of information processing (IIP), 403-406, 2010
Towards expert-aware computer vision algorithms in medical imaging
D Laptev
ETH Zurich, 2016
Superslicing frame restoration for anisotropic ssTEM and video data
D Laptev, JM Buhmann
Neural Connectomics Workshop, 93-103, 2015
SuperSlicing Frame Restoration
D Laptev, JM Buhmann
Short-term solar flare forecast
V Chernyshov, D Laptev, D Vetrov
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