Author

Dean M. Kleissas

Johns Hopkins University Applied Physics Laboratory

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

Click to filter author papers

Bioinformatics· 1 Neuroscience· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Approach:experimental assay· 2 Assay:imaging· 2 Research Focus:benchmarking· 1 Research Focus:database / resource· 1 Research Focus:software / tool· 1

Frequent Co-Authors

Brock A. WesteriD· 2 shared Jordan MatelskyiD· 2 shared Luis M. RodrígueziD· 2 shared William Gray-RoncaliD· 2 shared Corban G. Rivera· 1 shared Derek Pryor· 1 shared Elizabeth P. ReillyiD· 1 shared Erik C. JohnsoniD· 1 shared

Activity by Year

2019-2019 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 40 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

2 shared papersBioinformatics

Brock A. WesterORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

The Block Object Storage Service (bossDB): A Cloud-Native Approach for Petascale Neuroscience Discovery

Robert Hider, Dean M. Kleissas, Derek Pryor, Timothy Gion, Luis M. Rodríguez, Jordan Matelsky, William Gray-Roncal, Brock A. Wester

The paper introduces a cloud-native service for managing large-scale neuroscience datasets, enabling scalable storage, visualization, and sharing through an API and web interface.

bioRxiv · Oct 25, 2019 · PreprintBioinformatics

Toward A Reproducible, Scalable Framework for Processing Large Neuroimaging Datasets

Erik C. Johnson, Miller Wilt, Luis M. Rodríguez, Raphael Norman-Tenazas, Corban G. Rivera, Nathan G. Drenkow, Dean M. Kleissas, Theodore J. LaGrow, Hannah Cowley, Joseph Downs, Jordan Matelsky, Marisa Hughes, Elizabeth P. Reilly, Brock A. Wester, Eva L. Dyer, , William Gray-Roncal

The paper develops a scalable, reproducible framework for processing large neuroimaging datasets using open-source tools and standardized pipelines.

bioRxiv · Apr 22, 2019 · PreprintNeuroscience