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Jordan Matelsky
Jordan Matelsky
Bioengineering, University of Pennsylvania | Research & Exploratory Development, Johns Hopkins APL
Bestätigte E-Mail-Adresse bei jhu.edu - Startseite
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Zitiert von
Zitiert von
Jahr
Functional connectomics spanning multiple areas of mouse visual cortex
MICrONS Consortium, JA Bae, M Baptiste, CA Bishop, AL Bodor, ...
BioRxiv, 2021.07. 28.454025, 2021
1092021
A community-developed open-source computational ecosystem for big neuro data
JT Vogelstein, E Perlman, B Falk, A Baden, W Gray Roncal, ...
Nature methods 15 (11), 846-847, 2018
642018
Feature engineering with clinical expert knowledge: A case study assessment of machine learning model complexity and performance
KD Roe, V Jawa, X Zhang, CG Chute, JA Epstein, J Matelsky, I Shpitser, ...
Plos one 15 (4), e0231300, 2020
292020
DotMotif: An open-source tool for connectome subgraph isomorphism search and graph queries
JK Matelsky, EP Reilly, EC Johnson, J Stiso, DS Bassett, BA Wester, ...
Scientific Reports 11 (1), 1-14, 2021
272021
The Block Object Storage Service (bossDB): A cloud-native approach for petascale neuroscience discovery
D Kleissas, R Hider, D Pryor, T Gion, P Manavalan, J Matelsky, A Baden, ...
202017
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, ...
Medical Image Computing and Computer Assisted Intervention− MICCAI 2017 …, 2017
20*2017
The Brain Observatory Storage Service and Database (BossDB): A Cloud-Native Approach for Petascale Neuroscience Discovery
R Hider Jr, D Kleissas, T Gion, D Xenes, J Matelsky, D Pryor, L Rodriguez, ...
Frontiers in Neuroinformatics 16, 2022
172022
Container-based clinical solutions for portable and reproducible image analysis
J Matelsky, G Kiar, E Johnson, C Rivera, M Toma, W Gray-Roncal
Journal of digital imaging 31, 315-320, 2018
172018
Toward a scalable framework for reproducible processing of volumetric, nanoscale neuroimaging datasets
EC Johnson, M Wilt, LM Rodriguez, R Norman-Tenazas, C Rivera, ...
GigaScience 9 (12), giaa147, 2020
14*2020
Context-dependent neocentromere activity in synthetic yeast chromosome VIII
S Lauer, J Luo, L Lazar-Stefanita, W Zhang, LH McCulloch, V Fanfani, ...
Cell Genomics 3 (11), 2023
92023
A large language model-assisted education tool to provide feedback on open-ended responses
JK Matelsky, F Parodi, T Liu, RD Lange, KP Kording
arXiv preprint arXiv:2308.02439, 2023
82023
An Integrated Toolkit for Extensible and Reproducible Neuroscience
J Matelsky, L Rodriguez, D Xenes, T Gion, R Hider Jr, B Wester, ...
International Conference of the IEEE Engineering in Medicine and Biology …, 2021
7*2021
A substrate for modular, extensible data-visualization
JK Matelsky, J Downs, HP Cowley, B Wester, W Gray-Roncal
Big Data Analytics 5 (1), 1, 2020
62020
CONFIRMS: A Toolkit for Scalable, Black Box Connectome Assessment and Investigation
C Bishop, J Matelsky, M Wilt, J Downs, P Rivlin, S Plaza, B Wester, ...
2021 43rd Annual International Conference of the IEEE Engineering in …, 2021
52021
Vimo-Visual Analysis of Neuronal Connectivity Motifs
J Troidl, S Warchol, J Choi, J Matelsky, N Dhanyasi, X Wang, B Wester, ...
IEEE Transactions on Visualization & Computer Graphics, 1-11, 2023
42023
Scatterbrained: A flexible and expandable pattern for decentralized machine learning
M Wilt, JK Matelsky, AS Gearhart
arXiv preprint arXiv:2112.07718, 2021
42021
Circuit motifs and graph properties of connectome development in C. elegans
JK Matelsky, R Norman-Tenazas, F Davenport, EP Reilly, W Gray-Roncal
bioRxiv, 2021.07. 11.451911, 2021
42021
Neural Networks as Paths through the Space of Representations
RD Lange, D Kwok, J Matelsky, X Wang, DS Rolnick, KP Kording
arXiv preprint arXiv:2206.10999, 2022
32022
CIRCUIT summer program: A computational neuroscience outreach experience for high-achieving undergraduates via sponsored research
M Encarnacion, C Bishop, J Downs, N Drenkow, JK Matelsky, PK Rivlin, ...
2018 IEEE Integrated STEM Education Conference (ISEC), 45-52, 2018
32018
Using machine learning on clinical data to identify unexpected patterns in groups of COVID-19 patients
HP Cowley, MS Robinette, JK Matelsky, D Xenes, A Kashyap, NF Ibrahim, ...
Scientific Reports 13 (1), 2236, 2023
22023
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