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)

Deep Generative Networks for Algorithm Development in Implantable Neural Technology. - Filip Mivalt; Vladimir Sladky; Irena Balzekas; Tereza Pridalova; Kai J. Miller; Jamie Van Gompel; Timothy Denison; Benjamin H. Brinkmann; Václav Kremen; Gregory A. Worrell (SMC, 2022)

Integrated human-machine interface for closed-loop stimulation using implanted and wearable devices. - Vladimir Sladky; Václav Kremen; Kevin L. McQuown; Filip Mivalt; Benjamin H. Brinkmann; Jamie Van Gompel; Kai J. Miller; Timothy Denison; Gregory A. Worrell (SMC, 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)

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)