| Whole-brain serial-section electron microscopy in larval zebrafish DGC Hildebrand, M Cicconet, RM Torres, W Choi, TM Quan, J Moon, ... Nature 545 (7654), 345-349, 2017 | 357 | 2017 |
| A community-developed open-source computational ecosystem for big neuro data JT Vogelstein, E Perlman, B Falk, A Baden, W Gray Roncal, ... Nature methods 15 (11), 846-847, 2018 | 67 | 2018 |
| The open connectome project data cluster: scalable analysis and vision for high-throughput neuroscience R Burns, K Lillaney, DR Berger, L Grosenick, K Deisseroth, RC Reid, ... Proceedings of the 25th International Conference on Scientific and …, 2013 | 62 | 2013 |
| An automated images-to-graphs framework for high resolution connectomics WR Gray Roncal, DM Kleissas, JT Vogelstein, P Manavalan, K Lillaney, ... Frontiers in neuroinformatics 9, 149964, 2015 | 33 | 2015 |
| A large deformation diffeomorphic approach to registration of CLARITY images via mutual information KS Kutten, N Charon, MI Miller, JT Ratnanather, J Matelsky, AD Baden, ... Medical Image Computing and Computer Assisted Intervention− MICCAI 2017 …, 2017 | 24* | 2017 |
| The Block Object Storage Service (bossDB): A Cloud-Native Approach for Petascale Neuroscience Discovery DM Kleissas, R Hider Jr, D Pryor, T Gion, P Manavalan, J Matelsky, ... bioRxiv, 217745, 2017 | 20 | 2017 |
| Agni: An efficient dual-access file system over object storage K Lillaney, V Tarasov, D Pease, R Burns Proceedings of the ACM Symposium on Cloud Computing, 390-402, 2019 | 11 | 2019 |
| Gradient-domain fusion for color correction in large EM image stacks M Kazhdan, K Lillaney, W Roncal, D Bock, J Vogelstein, R Burns arXiv preprint arXiv:1506.02079, 2015 | 11 | 2015 |
| The Case for Dual-access File Systems over Object Storage K Lillaney, V Tarasov, D Pease, R Burns 11th USENIX Workshop on Hot Topics in Storage and File Systems (HotStorage 19), 2019 | 7 | 2019 |
| Building NDStore through hierarchical storage management and microservice processing K Lillaney, D Kleissas, A Eusman, E Perlman, WG Roncal, JT Vogelstein, ... 2018 IEEE 14th International Conference on e-Science (e-Science), 223-233, 2018 | 6 | 2018 |
| The open connectome project data cluster: scalable analysis and vision for high-throughput neuroscience categories and subject descriptors R Burns, W Gray Roncal, D Kleissas, K Lillaney, P Manavalan, ... SSDBM. doi 10 (2484838.2484870), 2013 | 6 | 2013 |
| BLOCKSET (block-aligned serialized trees) reducing inference latency for tree ensemble deployment M Madhyastha, K Lillaney, J Browne, JT Vogelstein, R Burns Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021 | 3 | 2021 |
| Towards Marrying Files to Objects K Lillaney, V Tarasov, D Pease, R Burns arXiv preprint arXiv:1908.11780, 2019 | 1 | 2019 |
| Building Hierarchical Storage Services in the Cloud KA Lillaney Johns Hopkins University, 2019 | | 2019 |
| The open connectome project data cluster R Burns, K Lillaney, DR Berger, L Grosenick, K Deisseroth, RC Reid, ... Proceedings of the 25th International Conference on Scientific and …, 2013 | | 2013 |
Randal BurnsProfessor of Computer Science, Johns Hopkins UniversityEmail confirmado em cs.jhu.edu