Quantitative analysis of statistical methods of grayscale inhomogeneity correction in magnetic resonance images. - Benjamin H. Brinkmann; Armando Manduca; Richard A. Robb (Image Processing, 1996)

Multimodality Imaging for Epilepsy Diagnosis and Surgical Focus Localization: Three-Cimensional Image Correlation and Dual Isotope SPECT. - Benjamin H. Brinkmann; Richard A. Robb; Terence J. O'Brien; Michael K. O'Connor; Brian P. Mullan (MICCAI, 1998)

Optimized Homorphic Unsharp Masking for MR Grayscale Inhomogeneity Correction. - Benjamin H. Brinkmann; Armando Manduca; Richard A. Robb (IEEE Trans. Medical Imaging, 1998)

Dynamic imaging of ictal rhythmic activity using dense-array EEG. - Lin Yang 019; Christopher T. Wilke; Benjamin H. Brinkmann; Gregory A. Worrell; Bin He 002 (EMBC, 2011)

Dynamic imaging of ictal oscillations using non-invasive high-resolution EEG. - Lin Yang 019; Christopher T. Wilke; Benjamin H. Brinkmann; Gregory A. Worrell; Bin He 002 (NeuroImage, 2011)

Dynamic seizure imaging in patients with extratemporal lobe epilepsy. - Yunfeng Lu; Lin Yang 019; Gregory A. Worrell; Benjamin H. Brinkmann; Cindy Nelson; Bin He 002 (EMBC, 2012)

Using functional MRI alone for localization in focal epilepsy. - Clara H. Zhang; Yunfeng Lu; Benjamin H. Brinkmann; Kirk Welker; Gregory A. Worrell; Bin He 002 (EMBC, 2014)

Noninvasive Imaging of the High Frequency Brain Activity in Focal Epilepsy Patients. - Yunfeng Lu; Gregory A. Worrell; Huishi Clara Zhang; Lin Yang 019; Benjamin H. Brinkmann; Cindy Nelson; Bin He 002 (IEEE Trans. Biomed. Eng., 2014)

Reliable seizure prediction from EEG data. - Vladimir Cherkassky; Brandon Veber; Jieun Lee; Han-Tai Shiao; Ned Patterson; Gregory A. Worrell; Benjamin H. Brinkmann (IJCNN, 2015)

Corrections to "Noninvasive Imaging of the High Frequency Brain Activity in Focal Epilepsy Patients". - Yunfeng Lu; Gregory A. Worrell; Huishi Clara Zhang; Lin Yang 019; Benjamin H. Brinkmann; Cindy Nelson; Bin He 002 (IEEE Trans. Biomed. Eng., 2015)

Feasibility of tracked electrodes for use in epilepsy surgery. - David R. Holmes 001; Benjamin H. Brinkmann; Dennis P. Hanson; Gregory A. Worrell; Richard A. Robb; Leslie Holton (Image-Guided Procedures, 2016)

Live demonstration: Continuous active probing and modulation of neural networks with a wireless implantable system. - Václav Kremen; Benjamin H. Brinkmann; Inyong Kim; Su-Youne Chang; Jamie Van Gompel; Jeffrey A. Herron; Steven Baldassano; Edward E. Patterson; Brian Litt; Timothy Denison; Gregory A. Worrell (BioCAS, 2017)

Continuous active probing and modulation of neural networks with a wireless implantable system. - Václav Kremen; Benjamin H. Brinkmann; Inyong Kim; Su-Youne Chang; Jamie J. Van Gompel; Jeffrey A. Herron; Steven Baldassano; Edward E. Patterson; Brian Litt; Timothy Denison; Gregory A. Worrell (BioCAS, 2017)

Inter-ictal Seizure Onset Zone localization using unsupervised clustering and Bayesian Filtering. - Yogatheesan Varatharajah; Brent M. Berry; Zbigniew T. Kalbarczyk; Benjamin H. Brinkmann; Gregory A. Worrell; Ravishankar K. Iyer (NER, 2017)

EEG-GRAPH: A Factor-Graph-Based Model for Capturing Spatial, Temporal, and Observational Relationships in Electroencephalograms. - Yogatheesan Varatharajah; Min Jin Chong; Krishnakant V. Saboo; Brent M. Berry; Benjamin H. Brinkmann; Gregory A. Worrell; Ravishankar K. Iyer (NIPS, 2017)

Seizure Forecasting and the Preictal State in Canine Epilepsy. - Yogatheesan Varatharajah; Ravishankar K. Iyer; Brent M. Berry; Gregory A. Worrell; Benjamin H. Brinkmann (Int. J. Neural Syst., 2017)

SVM-Based System for Prediction of Epileptic Seizures From iEEG Signal. - Han-Tai Shiao; Vladimir Cherkassky; Jieun Lee; Brandon Veber; Edward E. Patterson; Benjamin H. Brinkmann; Gregory A. Worrell (IEEE Trans. Biomed. Eng., 2017)

Convolutional Neural Networks for Epileptic Seizure Prediction. - Matthias Eberlein; Raphael Hildebrand; Ronald Tetzlaff; Nico Hoffmann; Levin Kuhlmann; Benjamin H. Brinkmann; Jens Müller 006 (BIBM, 2018)

Creating neural "co-processors" to explore treatments for neurological disorders. - Scott Stanslaski; Jeffrey Herron; Elizabeth Fehrmann; Rob Corey; Heather Orser; Enrico Opri; Václav Kremen; Benjamin H. Brinkmann; Aysegul Gunduz; Kelly D. Foote; Gregory A. Worrell; Tim Denison (ISSCC, 2018)

Integrating Artificial Intelligence with Real-time Intracranial EEG Monitoring to Automate Interictal Identification of Seizure Onset Zones in Focal Epilepsy. - Yogatheesan Varatharajah; Brent M. Berry; Jan Cimbalnik; Václav Kremen; Jamie Van Gompel; Matt Stead; Benjamin H. Brinkmann; Ravishankar K. Iyer; Gregory A. Worrell (CoRR, 2018)

A Chronically Implantable Neural Coprocessor for Investigating the Treatment of Neurological Disorders. - Scott Stanslaski; Jeffrey Herron; Tom Chouinard; Duane Bourget; Ben Isaacson; Václav Kremen; Enrico Opri; William Drew; Benjamin H. Brinkmann; Aysegul Gunduz; Tom Adamski; Gregory A. Worrell; et al. (IEEE Trans. Biomed. Circuits Syst., 2018)

Towards Improved Design and Evaluation of Epileptic Seizure Predictors. - Iryna Korshunova; Pieter-Jan Kindermans; Jonas Degrave; Thibault Verhoeven; Benjamin H. Brinkmann; Joni Dambre (IEEE Trans. Biomed. Eng., 2018)

Intracerebral EEG Artifact Identification Using Convolutional Neural Networks. - Petr Nejedly; Jan Cimbalnik; Petr Klimes; Filip Plesinger; Josef Halámek; Václav Kremen; Ivo Viscor; Benjamin H. Brinkmann; Martin Pail; Milan Brazdil; Gregory A. Worrell; Pavel Jurák (Neuroinformatics, 2019)

Electrophysiological Correlates of Brain Health Help Diagnose Epilepsy and Lateralize Seizure Focus. - Yogatheesan Varatharajah; Brent M. Berry; Boney Joseph; Irena Balzekas; Václav Kremen; Benjamin H. Brinkmann; Gregory A. Worrell; Ravishankar K. Iyer (EMBC, 2020)

Semi-supervised training data selection improves seizure forecasting in canines with epilepsy. - Mona Nasseri; Václav Kremen; Petr Nejedly; Inyong Kim; Su-Youne Chang; Hang Joon Jo; Hari Guragain; Nathaniel Nelson; Edward E. Patterson; Beverly K. Sturges; Chelsea M. Crowe; Tim Denison; et al. (Biomed. Signal Process. Control., 2020)

Seizure Forecasting from Subcutaneous EEG Using Long Short Term Memory Neural Networks: Algorithm Development and Optimization. - Tal Pal Attia; Pedro F. Viana; Mona Nasseri; Mark P. Richardson; Benjamin H. Brinkmann (BIBM, 2021)

Domain-guided Self-supervision of EEG Data Improves Downstream Classification Performance and Generalizability. - Neeraj Wagh; Jionghao Wei; Samarth Rawal; Brent M. Berry; Leland Barnard; Benjamin H. Brinkmann; Gregory A. Worrell; David T. Jones; Yogatheesan Varatharajah (ML4H@NeurIPS, 2021)

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)

Automatic Monitoring of High-Frequency Autoimmune Disorder Related Seizures with Wearable Devices. - Jie Cui; Andrea Duque Lopez; Gabriella Brinkmann; Boney Joseph; Louis Faust; Julianna Ethridge; Gregory A. Worrell; Divyanshu Dubey; Benjamin H. Brinkmann (EMBC, 2024)

Lessons from a challenge on forecasting epileptic seizures from non-cerebral signals. - Kenny Schlegel; Denis Kleyko; Benjamin H. Brinkmann; Ewan S. Nurse; Ross W. Gayler; Peer Neubert (Nat. Mac. Intell., 2024)