Localization of stereo-electroencephalography signals using a finite difference complete electrode model. - Damon E. Hyde; Xavier Tomas-Fernandez; Scellig S. Stone; Jurriaan M. Peters; Simon K. Warfield (EMBC, 2017)

A Comparison of Point and Complete Electrode Models in a Finite Difference Model of Invasive Electrode Measurements. - Damon E. Hyde; Xavier Tomas-Fernandez; Scellig S. Stone; Jurriaan M. Peters; Simon K. Warfield (EMBC, 2018)

Deep Learning-Based Visual Complexity Analysis of Electroencephalography Time-Frequency Images: Can It Localize the Epileptogenic Zone in the Brain? - Navaneethakrishna Makaram; Sarvagya Gupta; Matthew Pesce; Jeffrey Bolton; Scellig S. Stone; Daniel Haehn; Marc Pomplun; Christos L. Papadelis; Phillip L. Pearl; Alexander Rotenberg; Patricia Ellen Grant; Eleonora Tamilia (Algorithms, 2023)

Using robotics to move a neurosurgeon's hands to the tip of their endoscope. - Karl Price; Joseph Peine; Margherita Mencattelli; Yash Chitalia; David Pu; Thomas Looi; Scellig S. Stone; James M. Drake; Pierre E. Dupont (Sci. Robotics, 2023)

Brain Treebank: Large-scale intracranial recordings from naturalistic language stimuli. - Christopher Wang; Adam Uri Yaari; Aaditya Singh; Vighnesh Subramaniam; Dana Rosenfarb; Jan DeWitt; Pranav Misra; Joseph R. Madsen; Scellig S. Stone; Gabriel Kreiman; Boris Katz; Ignacio Cases; et al. (NeurIPS, 2024)

Machine learning on interictal intracranial EEG predicts surgical outcome in drug resistant epilepsy. - Hmayag Partamian; Saeed Jahromi; Ludovica Corona; M. Scott Perry; Eleonora Tamilia; Joseph R. Madsen; Jeffrey Bolton; Scellig S. Stone; Phillip L. Pearl; Christos L. Papadelis (npj Digit. Medicine, 2025)