| Crowdsourcing the creation of image segmentation algorithms for connectomics I Arganda-Carreras, SC Turaga, DR Berger, D Cireşan, A Giusti, ... Frontiers in neuroanatomy 9, 152591, 2015 | 383 | 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 | 313 | 2016 |
| 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 | 162 | 2018 |
| Anisotropic sstem image segmentation using dense correspondence across sections D Laptev, A Vezhnevets, S Dwivedi, JM Buhmann Medical Image Computing and Computer-Assisted Intervention–MICCAI 2012: 15th …, 2012 | 40 | 2012 |
| Convolutional decision trees for feature learning and segmentation D Laptev, JM Buhmann German Conference on Pattern Recognition, 95-106, 2014 | 34 | 2014 |
| Transformation-invariant convolutional jungles D Laptev, JM Buhmann Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015 | 30 | 2015 |
| 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 | 16 | 2014 |
| Variational segmentation algorithms with label frequency constraints D Kropotov, D Laptev, A Osokin, D Vetrov Pattern Recognition and Image Analysis 20, 324-334, 2010 | 6 | 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 | 5 | 2018 |
| Automatic determination of cell division rate using microscope images KV Nekrasov, DA Laptev, DP Vetrov Pattern recognition and image analysis 23, 105-110, 2013 | 2 | 2013 |
| Automatic detection of cell division intensity in budding yeast K Nekrasov, D Laptev, D Vetrov, MSU CMC Proceedings of International Conference on Pattern Recognition and Image …, 2010 | 2 | 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 | 1 | 2014 |
| Short-term solar flare forecast V Chernyshov, D Laptev, D Vetrov Графикон'2011, 136-140, 2011 | 1 | 2011 |
| 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 | 1 | 2010 |
| Towards expert-aware computer vision algorithms in medical imaging D Laptev ETH Zurich, 2016 | | 2016 |
| Superslicing frame restoration for anisotropic ssTEM and video data D Laptev, JM Buhmann Neural Connectomics Workshop, 93-103, 2015 | | 2015 |
| GIS: PROCEEDINGS OF THE ACM INTERNATIONAL SYMPOSIUM ON ADVANCES IN GEOGRAPHIC INFORMATION SYSTEMS D Laptev, A Tikhonov, P Serdyukov, G Gusev, C Misra, A Dasgupta, ... | | 2014 |
| SuperSlicing Frame Restoration D Laptev, JM Buhmann | | |
Joachim M. BuhmannETH ZurichDirección de correo verificada de inf.ethz.ch
