Dean Kleissas

According to our database, Dean Kleissas authored at least 11 papers between 2013 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2022

The Brain Observatory Storage Service and Database (BossDB): A Cloud-Native Approach for Petascale Neuroscience Discovery.

Robert Hider, Dean Kleissas, Timothy Gion, Daniel Xenes, Jordan Matelsky, Derek Pryor, Luis M. Rodriguez, Erik C. Johnson, William R. Gray Roncal, Brock A. Wester

Frontiers Neuroinformatics, 2022

2020

Leveraging Tools from Autonomous Navigation for Rapid, Robust Neuron Connectivity.

Nathan Drenkow, Justin Joyce, Jordan Matelsky, Jennifer Heiko, Reem Larabi, Brock A. Wester, Dean Kleissas, William R. Gray Roncal

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

2018

Neural Reconstruction Integrity: A Metric for Assessing the Connectivity Accuracy of Reconstructed Neural Networks.

Elizabeth Perez Reilly, Jeffrey S. Garretson, William R. Gray Roncal, Dean M. Kleissas, Brock A. Wester, Mark A. Chevillet, Matthew J. Roos

Frontiers Neuroinformatics, 2018

Building NDStore Through Hierarchical Storage Management and Microservice Processing.

Kunal Lillaney, Dean Kleissas, Alexander Eusman, Eric A. Perlman, William R. Gray Roncal, Joshua T. Vogelstein, Randal C. Burns

Proceedings of the 14th IEEE International Conference on e-Science, 2018

2016

Embedded clutter reduction and face detection algorithms for a visual prosthesis.

Derek M. Rollend, Paul E. Rosendall, Kevin C. Wolfe, Dean M. Kleissas, Seth Billings, Jonathan M. Oben, John B. Helder, Francesco Tenore, Philippe M. Burlina, Arup Roy, Robert J. Greenberg, Kapil D. Katyal

Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

2015

An Automated Images-to-Graphs Framework for High Resolution Connectomics.

William R. Gray Roncal, Dean M. Kleissas, Joshua T. Vogelstein, Priya Manavalan, Kunal Lillaney, Michael J. Pekala, Randal C. Burns, R. Jacob Vogelstein, Carey E. Priebe, Mark A. Chevillet, Gregory D. Hager

Frontiers Neuroinformatics, 2015

VESICLE: Volumetric Evaluation of Synaptic Inferfaces using Computer Vision at Large Scale.

William R. Gray Roncal, Michael J. Pekala, Verena Kaynig-Fittkau, Dean M. Kleissas, Joshua T. Vogelstein, Hanspeter Pfister, Randal C. Burns, R. Jacob Vogelstein, Mark A. Chevillet, Gregory D. Hager

Proceedings of the British Machine Vision Conference 2015, 2015

2014

Automatic Annotation of Axoplasmic Reticula in Pursuit of Connectomes.

Ayushi Sinha, William R. Gray Roncal, Narayanan Kasthuri, Ming Chuang, Priya Manavalan, Dean Kleissas, Joshua T. Vogelstein, R. Jacob Vogelstein, Randal C. Burns, Jeff W. Lichtman, Michael M. Kazhdan

CoRR, 2014

An Automated Images-to-Graphs Pipeline for High Resolution Connectomics.

William R. Gray Roncal, Dean Kleissas, Joshua T. Vogelstein, Priya Manavalan, Randal C. Burns, R. Jacob Vogelstein, Carey E. Priebe, Mark A. Chevillet, Gregory D. Hager

CoRR, 2014

2013

The open connectome project data cluster: scalable analysis and vision for high-throughput neuroscience.

Randal C. Burns, Kunal Lillaney, Daniel R. Berger, Logan Grosenick, Karl Deisseroth, R. Clay Reid, William R. Gray Roncal, Priya Manavalan, Davi Bock, Narayanan Kasthuri, Michael M. Kazhdan, Stephen J. Smith, Dean Kleissas, Eric A. Perlman, Kwanghun Chung, Nicholas C. Weiler, Jeff Lichtman, Alexander S. Szalay, Joshua T. Vogelstein, R. Jacob Vogelstein

Proceedings of the Conference on Scientific and Statistical Database Management, 2013

MIGRAINE: MRI Graph Reliability Analysis and Inference for Connectomics.

William R. Gray Roncal, Zachary H. Koterba, Disa Mhembere, Dean M. Kleissas, Joshua T. Vogelstein, Randal C. Burns, Anita R. Bowles, Dimitrios K. Donavos, Sephira Ryman, Rex E. Jung, Lei Wu, Vince D. Calhoun, R. Jacob Vogelstein

Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013