| Commercial visual analytics systems–advances in the big data analytics field M Behrisch, D Streeb, F Stoffel, D Seebacher, B Matejek, SH Weber, ... IEEE transactions on visualization and computer graphics 25 (10), 3011-3031, 2018 | 42 | 2018 |
| Learning hierarchical semantic segmentations of LIDAR data D Dohan, B Matejek, T Funkhouser 2015 International Conference on 3D Vision, 273-281, 2015 | 37 | 2015 |
| Scalable Interactive Visualization for Connectomics D Haehn, J Hoffer, B Matejek, A Suissa-Peleg, AK Al-Awami, L Kamentsky, ... Informatics 4 (3), 29, 2017 | 16 | 2017 |
| Anisotropic EM Segmentation by 3D Affinity Learning and Agglomeration T Parag, F Tschopp, W Grisaitis, SC Turaga, X Zhang, B Matejek, ... arXiv preprint arXiv:1707.08935, 2017 | 11 | 2017 |
| Compresso: Efficient Compression of Segmentation Data For Connectomics B Matejek, D Haehn, F Lekschas, M Mitzenmacher, H Pfister International Conference on Medical Image Computing and Computer-Assisted …, 2017 | 8 | 2017 |
| K-median algorithms: theory in practice D Dohan, S Karp, B Matejek | 8 | 2015 |
| Efficient correction for em connectomics with skeletal representation K Dmitriev12, T Parag, B Matejek, AE Kaufman12, H Pfister British Machine Vision Conferemce (BMVC), 2018 | 6 | 2018 |
| Biologically-Constrained Graphs for Global Connectomics Reconstruction B Matejek, D Haehn, H Zhu, D Wei, T Parag, H Pfister Computer Vision and Pattern Recognition, 2019 | 4 | 2019 |
| Synapse-Aware Skeleton Generation for Neural Circuits B Matejek, D Wei, X Wang, J Zhao, K Palágyi, H Pfister International Conference on Medical Image Computing and Computer-Assisted …, 2019 | 2 | 2019 |
| Learning Global Features for Neuron Reconstruction in Em Images BP Matejek Princeton University, 2016 | | 2016 |
| Two Stream Active Query Suggestion for Active Learning in Connectomics Z Lin, D Wei, WD Jang, S Zhou, X Chen, X Wang, R Schalek, D Berger, ... | | |
| Biologically-Constrained Graphs for Global Connectomics Reconstruction Supplementary Material B Matejek, D Haehn, H Zhu, D Wei, T Parag, H Pfister | | |
| A Computational Analysis of Arbitrage Opportunities in Sports Gambling B Matejek | | |
| Detecting Objects Using Google Street View Data B Matejek | | |
| Functional Representation of Sparse Volume Data for Ray-marching N Sigatapu, B Matejek | | |
| Searching for Semantic Segmentations in Urban LIDAR Data D Dohan, B Matejek, T Funkhouser | | |
Toufiq ParagHarvard UniversityVerified email at g.harvard.edu
