| 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 | 63 | 2018 |
| Learning hierarchical semantic segmentations of LIDAR data D Dohan, B Matejek, T Funkhouser 2015 International Conference on 3D Vision, 273-281, 2015 | 41 | 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 | 27 | 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 | 14 | 2017 |
| 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 | 13 | 2019 |
| 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 | 12 | 2017 |
| Efficient correction for em connectomics with skeletal representation K Dmitriev12, T Parag, B Matejek, AE Kaufman12, H Pfister British Machine Vision Conferemce (BMVC), 2018 | 11 | 2018 |
| K-median algorithms: theory in practice D Dohan, S Karp, B Matejek | 10 | 2015 |
| 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 | 7 | 2019 |
| 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, ... | 7* | |
| AxonEM Dataset: 3D Axon Instance Segmentation of Brain Cortical Regions D Wei, K Lee, H Li, R Lu, JA Bae, Z Liu, L Zhang, M Santos, Z Lin, T Uram, ... International Conference on Medical Image Computing and Computer-Assisted …, 2021 | 4 | 2021 |
| Scalable Biologically-Aware Skeleton Generation for Connectomic Volumes B Matejek, T Franzmeyer, D Wei, X Wang, J Zhao, K Palágyi, JW Lichtman, ... IEEE transactions on medical imaging, 2022 | | 2022 |
| Edge-colored directed subgraph enumeration on the connectome B Matejek, D Wei, T Chen, CE Tsourakakis, M Mitzenmacher, H Pfister Scientific Reports 12, 2022 | | 2022 |
| Biologically-Aware Algorithms for Connectomics BP Matejek Harvard University, 2021 | | 2021 |
| Learning Global Features for Neuron Reconstruction in Em Images BP Matejek Princeton University, 2016 | | 2016 |
| Segmentation of Electron Microscopy Images for Connectomics B Matejek | | |
| 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 | | |
Toufiq ParagHarvard UniversityVahvistettu sähköpostiosoite verkkotunnuksessa g.harvard.edu
