A Large Deformation Diffeomorphic Approach to Registration of CLARITY Images via Mutual Information. - 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 (MICCAI (1), 2017)

Container-Based Clinical Solutions for Portable and Reproducible Image Analysis. - Jordan Matelsky; Gregory Kiar; Erik C. Johnson; Corban Rivera; Michael Toma; William R. Gray Roncal (J. Digit. Imaging, 2018)

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 (MICCAI (5), 2020)

CONFIRMS: A Toolkit for Scalable, Black Box Connectome Assessment and Investigation. - Caitlyn Bishop; Jordan Matelsky; Miller Wilt; Joseph Downs; Patricia K. Rivlin; Stephen Plaza; Brock A. Wester; William R. Gray Roncal (EMBC, 2021)

An Integrated Toolkit for Extensible and Reproducible Neuroscience. - Jordan Matelsky; Luis M. Rodriguez; Daniel Xenes; Timothy Gion; Robert Hider; Brock A. Wester; William R. Gray Roncal (EMBC, 2021)

Scatterbrained: A flexible and expandable pattern for decentralized machine learning. - Miller Wilt; Jordan K. Matelsky; Andrew S. Gearhart (CoRR, 2021)

Neural Networks as Paths through the Space of Representations. - Richard D. Lange; Jordan Matelsky; Xinyue Wang; Devin Kwok; David S. Rolnick; Konrad P. Kording (CoRR, 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)

Automated Tools to Improve Spinal Cord Injury Outcomes with Epidural Stimulation. - 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 (NER, 2023)

Deep Networks as Paths on the Manifold of Neural Representations. - Richard D. Lange; Devin Kwok; Jordan Kyle Matelsky; Xinyue Wang; David Rolnick; Konrad P. Kording (TAG-ML, 2023)

Exploiting Large Neuroimaging Datasets to Create Connectome-Constrained Approaches for more Robust, Efficient, and Adaptable Artificial Intelligence. - 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; et al. (CoRR, 2023)

A large language model-assisted education tool to provide feedback on open-ended responses. - Jordan K. Matelsky; Felipe Parodi; Tony Liu 004; Richard D. Lange; Konrad P. Kording (CoRR, 2023)

Vision-language models for decoding provider attention during neonatal resuscitation. - Felipe Parodi; Jordan K. Matelsky; Alejandra Regla-Vargas; Elizabeth E. Foglia; Charis Lim; Danielle Weinberg; Konrad P. Kording; Heidi M. Herrick; Michael L. Platt (CVPR Workshops, 2024)

Empirical influence functions to understand the logic of fine-tuning. - Jordan K. Matelsky; Lyle H. Ungar; Konrad P. Kording (CoRR, 2024)

Computational kinematics of dance: distinguishing hip hop genres. - Ben Baker; Tony Liu 004; Jordan Matelsky; Felipe Parodi; Brett Mensh; John W. Krakauer; Konrad P. Kording (Frontiers Robotics AI, 2024)

- Visual Analysis of Neuronal Connectivity Motifs. - Jakob Troidl; Simon Warchol; Jinhan Choi; Jordan Matelsky; Nagaraju Dhanyasi; Xueying Wang 002; Brock A. Wester; Donglai Wei 001; Jeff W. Lichtman; Hanspeter Pfister; Johanna Beyer (IEEE Trans. Vis. Comput. Graph., 2024)

Grounding Intelligence in Movement. - Melanie Segado; Felipe Parodi; Jordan K. Matelsky; Michael L. Platt; Eva B. Dyer; Konrad P. Kording (CoRR, 2025)