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ORCIDJordan Matelsky
Person information
- affiliation: Johns Hopkins University, Applied Physics Laboratory: Laurel, MD, USA
- affiliation: University of Pennsylvania, Philadelphia, PA, USA
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2020 – today
- 2024
[j3]Jakob Troidl, Simon Warchol
, Jinhan Choi, Jordan Matelsky, Nagaraju Dhanyasi, Xueying Wang, Brock A. Wester, Donglai Wei, Jeff W. Lichtman, Hanspeter Pfister, Johanna Beyer:
- Visual Analysis of Neuronal Connectivity Motifs. IEEE Trans. Vis. Comput. Graph. 30(1): 748-758 (2024)- [i5]Felipe Parodi, Jordan Matelsky, Alejandra Regla-Vargas, Elizabeth Foglia, Charis Lim, Danielle Weinberg, Konrad P. Kording, Heidi Herrick, Michael Platt:
Vision-language models for decoding provider attention during neonatal resuscitation. CoRR abs/2404.01207 (2024) - 2023
- [c6]Erik C. Johnson, Jordan K. Matelsky, Christa Cooke, Breanne P. Christie, Khalid Jones, Harley Ledbetter, Siqi Wang, Gail F. Forrest, Nathan Torgerson, Claudia A. Angeli, Susan J. Harkema, Francesco V. Tenore:
Automated Tools to Improve Spinal Cord Injury Outcomes with Epidural Stimulation. NER 2023: 1-4 - [c5]Richard D. Lange, Devin Kwok, Jordan Kyle Matelsky, Xinyue Wang, David Rolnick, Konrad P. Kording:
Deep Networks as Paths on the Manifold of Neural Representations. TAG-ML 2023: 102-133 - [i4]Erik C. Johnson, Brian S. Robinson, Gautam K. Vallabha, Justin Joyce, Jordan K. Matelsky, Raphael Norman-Tenazas, Isaac Western, Marisel Villafañe-Delgado, Martha Cervantes, Michael S. Robinette, Arun V. Reddy, Lindsey Kitchell, Patricia K. Rivlin, Elizabeth Perez Reilly, Nathan Drenkow, Matthew J. Roos, I-Jeng Wang, Brock A. Wester, William R. Gray Roncal, Joan A. Hoffmann:
Exploiting Large Neuroimaging Datasets to Create Connectome-Constrained Approaches for more Robust, Efficient, and Adaptable Artificial Intelligence. CoRR abs/2305.17300 (2023) - [i3]Jordan K. Matelsky, Felipe Parodi, Tony Liu, Richard D. Lange, Konrad P. Kording:
A large language model-assisted education tool to provide feedback on open-ended responses. CoRR abs/2308.02439 (2023) - 2022
- [j2]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:
The Brain Observatory Storage Service and Database (BossDB): A Cloud-Native Approach for Petascale Neuroscience Discovery. Frontiers Neuroinformatics 16: 828787 (2022) - [i2]Richard D. Lange, Jordan Matelsky, Xinyue Wang, Devin Kwok, David S. Rolnick, Konrad P. Kording:
Neural Networks as Paths through the Space of Representations. CoRR abs/2206.10999 (2022) - 2021
- [c4]Jordan Matelsky, Luis M. Rodriguez, Daniel Xenes, Timothy Gion, Robert Hider, Brock A. Wester, William R. Gray Roncal:
An Integrated Toolkit for Extensible and Reproducible Neuroscience. EMBC 2021: 2413-2418 - [c3]Caitlyn Bishop, Jordan Matelsky, Miller Wilt, Joseph Downs, Patricia K. Rivlin, Stephen Plaza, Brock A. Wester, William R. Gray Roncal:
CONFIRMS: A Toolkit for Scalable, Black Box Connectome Assessment and Investigation. EMBC 2021: 2444-2450 - [i1]Miller Wilt, Jordan K. Matelsky, Andrew S. Gearhart:
Scatterbrained: A flexible and expandable pattern for decentralized machine learning. CoRR abs/2112.07718 (2021) - 2020
- [c2]Nathan Drenkow, Justin Joyce, Jordan Matelsky, Jennifer Heiko, Reem Larabi, Brock A. Wester, Dean Kleissas, William R. Gray Roncal:
Leveraging Tools from Autonomous Navigation for Rapid, Robust Neuron Connectivity. MICCAI (5) 2020: 109-118
2010 – 2019
- 2018
- [j1]Jordan Matelsky, Gregory Kiar, Erik C. Johnson, Corban Rivera, Michael Toma, William R. Gray Roncal:
Container-Based Clinical Solutions for Portable and Reproducible Image Analysis. J. Digit. Imaging 31(3): 315-320 (2018) - 2017
- [c1]Kwame S. Kutten, Nicolas Charon, Michael I. Miller, J. Tilak Ratnanather, Jordan Matelsky, Alexander D. Baden, Kunal Lillaney, Karl Deisseroth, Li Ye, Joshua T. Vogelstein:
A Large Deformation Diffeomorphic Approach to Registration of CLARITY Images via Mutual Information. MICCAI (1) 2017: 275-282
Coauthor Index
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last updated on 2024-05-10 02:23 CEST by the dblp team
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