Kunal Lillaney
Kunal Lillaney
Amazon Web Services
Verified email at amazon.com - Homepage
Cited by
Cited by
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
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
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, 20, 2015
A community-developed open-source computational ecosystem for big neuro data
JT Vogelstein, E Perlman, B Falk, A Baden, WG Roncal, ...
Nature methods 15 (11), 846-847, 2018
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, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2017
The Block Object Storage Service (bossDB): A cloud-native approach for petascale neuroscience discovery
R Hider, DM Kleissas, D Pryor, T Gion, L Rodriguez, J Matelsky, ...
bioRxiv, 217745, 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
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
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
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
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
Towards Marrying Files to Objects
K Lillaney, V Tarasov, D Pease, R Burns
arXiv preprint arXiv:1908.11780, 2019
Building Hierarchical Storage Services in the Cloud
KA Lillaney
Johns Hopkins University, 2019
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