Individualized seizure cluster prediction using machine learning and ambulatory intracranial EEG. - Krishnakant V. Saboo; Yurui Cao; Václav Kremen; Vladimir Sladky; Nicholas M. Gregg; Paul M. Arnold; Philippa J. Karoly; Dean R. Freestone; Mark J. Cook; Gregory A. Worrell; Ravishankar K. Iyer (BIBM, 2022)

Deep Brain Stimulation of Anterior Nuclei of the Thalamus and Hippocampal Seizure Rate Modulate Verbal Memory Performance. - Victoria S. Marks; Tom J. Richner; Nicholas M. Gregg; Vladimir Sladky; Jaromir Dolezal; Václav Kremen; Gregory A. Worrell; Michal T. Kucewicz (EIT, 2022)

A Transfer Learning-based Model for Individualized Clustered Seizure Prediction Using Intracranial EEG. - Yurui Cao; Krishnakant V. Saboo; Václav Kremen; Vladimir Sladky; Nicholas M. Gregg; Paul M. Arnold; Suguna Pappu; Philippa J. Karoly; Dean R. Freestone; Mark J. Cook; Gregory A. Worrell; Ravishankar K. Iyer (NER, 2023)

Canonical Response Parameterization: Quantifying the structure of responses to single-pulse intracranial electrical brain stimulation. - Kai J. Miller; Klaus-Robert Müller; Gabriela Ojeda Valencia; Harvey Huang; Nicholas M. Gregg; Gregory A. Worrell; Dora Hermes (PLoS Comput. Biol., 2023)

Method for cycle detection in sparse, irregularly sampled, long-term neuro-behavioral timeseries: Basis pursuit denoising with polynomial detrending of long-term, inter-ictal epileptiform activity. - Irena Balzekas; Joshua Trzasko; Grace Yu; Thomas J. Richner; Filip Mivalt; Vladimir Sladky; Nicholas M. Gregg; Jamie Van Gompel; Kai J. Miller; Paul E. Croarkin; Václav Kremen; Gregory A. Worrell (PLoS Comput. Biol., 2024)