Dean M. Kleissas

Johns Hopkins University Applied Physics Laboratory — United States

Biochemistry, Genetics and Molecular Biology · Life Sciences

11h-index411citations29works0.02yr avg
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Research Topics

Cell Image Analysis Techniques(18), Functional Brain Connectivity Studies(12), Advanced Memory and Neural Computing(6), Neural dynamics and brain function(6), Advanced Fluorescence Microscopy Techniques(5)

Publications29 total

The Brain Observatory Storage Service and Database (BossDB): A Cloud-Native Approach for Petascale Neuroscience Discovery
Frontiers in Neuroinformatics·2022· 43 citedOpen Access
Toward a scalable framework for reproducible processing of volumetric, nanoscale neuroimaging datasets
GigaScience·2020· 7 citedOpen Access
Leveraging Tools from Autonomous Navigation for Rapid, Robust Neuron Connectivity
2020· 1 citedOpen Access
Leveraging Tools from Autonomous Navigation for Rapid, Robust Neuron Connectivity
Lecture notes in computer science·2020· 1 cited
Toward A Reproducible, Scalable Framework for Processing Large Neuroimaging Datasets
2019· 7 citedOpen Access
Neural Reconstruction Integrity: A Metric for Assessing the Connectivity Accuracy of Reconstructed Neural Networks
Frontiers in Neuroinformatics·2018· 13 citedOpen Access
A community-developed open-source computational ecosystem for big neuro data
Nature Methods·2018· 67 citedOpen Access
Building NDStore Through Hierarchical Storage Management and Microservice Processing
2018· 6 cited
A Community-Developed Open-Source Computational Ecosystem for Big Neuro Data
arXiv (Cornell University)·2018· 1 citedOpen Access
A Community-Developed Open-Source Computational Ecosystem for Big Neuro\n Data
arXiv (Cornell University)·2018Open Access
The Block Object Storage Service (bossDB): A Cloud-Native Approach for Petascale Neuroscience Discovery
2017· 19 citedOpen Access
Science in the cloud (SIC): A use case in MRI connectomics
GigaScience·2017· 2 citedOpen Access
Neural Reconstruction Integrity: A metric for assessing the connectivity of reconstructed neural networks
arXiv (Cornell University)·2017Open Access
Neural Reconstruction Integrity: A metric for assessing the connectivity\n of reconstructed neural networks
arXiv (Cornell University)·2017· 1 citedOpen Access
To the Cloud! A Grassroots Proposal to Accelerate Brain Science Discovery
Neuron·2016· 48 citedOpen Access
Embedded clutter reduction and face detection algorithms for a visual prosthesis
2016· 5 cited
Bioimage Informatics for Big Data
Advances in anatomy, embryology and cell biology·2016· 8 cited
An automated images-to-graphs framework for high resolution connectomics
Frontiers in Neuroinformatics·2015· 25 citedOpen Access
VESICLE: Volumetric Evaluation of Synaptic Inferfaces using Computer Vision at Large Scale
2015· 21 cited
An Automated Images-to-Graphs Pipeline for High Resolution Connectomics.
arXiv (Cornell University)·2014Open Access
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Frequent Co-authors

R. Jacob Vogelstein(16), Randal Burns(16), William Gray Roncal(15), Joshua T Vogelstein(14), Brock A. Wester(12), Mark A. Chevillet(12), Priya Manavalan(10), Kunal Lillaney(9), Jordan Matelsky(9), Michael Kazhdan(7), Eric Perlman(6), Karl Deisseroth(6), Gregory D. Hager(6), Derek Pryor(5), Timothy Gion(5), William Gray-Roncal(5), Michael Pekala(5), Elizabeth P. Reilly(5), Nathan Drenkow(5), Michael I. Miller(4)