Social Impact based Approach to Feature Subset Selection. - Martin Macas; Lenka Lhotská; Václav Kremen (NICSO, 2007)

Evaluation of Novel Algorithm for Search of Signal Complexes to Describe Complex Fractionated Atrial Electrogram. - Václav Kremen; Lenka Lhotská (BIOSIGNALS (2), 2008)

The GAME Algorithm Applied to Complex Fractionated Atrial Electrograms Data Set. - Pavel Kordík; Václav Kremen; Lenka Lhotská (ICANN (2), 2008)

Comparison of JADE and Canonical Correlation Analysis for ECG de-noising. - Jakub Kuzilek; Václav Kremen; Lenka Lhotská (EMBC, 2014)

Fractionated electrograms and rotors detection in chronic atrial fibrillation using model-based clustering. - Andrés Orozco-Duque; Sara Isabel Duque; Juan P. Ugarte; Catalina Tobón; Daniel Novák; Václav Kremen; Germán Castellanos-Domínguez; Javier Saiz; John Bustamante (EMBC, 2014)

Characterization of Complex Fractionated Atrial Electrograms by Sample Entropy: An International Multi-Center Study. - Eva M. Cirugeda-Roldán; Daniel Novák; Václav Kremen; David Cuesta-Frau; Matthias Walter Keller; Armin Luik; Martina Srutová (Entropy, 2015)

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)

Feature subset selection and classification of intracardiac electrograms during atrial fibrillation. - Sara Isabel Duque; Andrés Orozco-Duque; Václav Kremen; Daniel Novák; Catalina Tobón; John Bustamante (Biomed. Signal Process. Control., 2017)

Automatic identification of artifacts and unwanted physiologic signals in EEG and EOG during wakefulness. - Václav Gerla; Václav Kremen; Naima Covassin; Lenka Lhotská; Elizaveta Saifutdinová; Jiri Bukartyk; Vladimír Marík; Virend K. Somers (Biomed. Signal Process. Control., 2017)

Expert-in-the-loop Learning for Sleep EEG Data. - Václav Gerla; Václav Kremen; Martin Macas; Elizaveta Saifutdinová; Arnost Mládek; Lenka Lhotská (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)

Sample Entropy Analysis of Noisy Atrial Electrograms during Atrial Fibrillation. - Eva M. Cirugeda-Roldán; Antonio Molina-Picó; Daniel Novák; David Cuesta-Frau; Václav Kremen (Comput. Math. Methods Medicine, 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)

Semi-automated detection of polysomnographic REM sleep without atonia (RSWA) in REM sleep behavioral disorder. - Iva Milerská; Václav Kremen; Václav Gerla; Erik K. St Louis; Lenka Lhotská (Biomed. Signal Process. Control., 2019)

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)

Noninvasive Assessment of Aortic Pulse Wave Velocity by the Brachial Occlusion-Cuff Technique: Comparative Study. - Vratislav Fabián; Lukas Matera; Kristyna Bayerova; Jan Havlík; Václav Kremen; Jan Pudil; Pavol Sajgalik; David Zemanek (Sensors, 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)

DyNeuMo Mk-2: An Investigational Circadian-Locked Neuromodulator with Responsive Stimulation for Applied Chronobiology. - Robert Toth; Mayela Zamora; Jon Ottaway; Tom Gillbe; Sean Martin; Moaad Benjaber; Guy Lamb; Tara Noone; Barry Taylor; Alceste Deli; Václav Kremen; Gregory A. Worrell; et al. (SMC, 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)

Independent dynamics of low, intermediate, and high frequency spectral intracranial EEG activities during human memory formation. - Victoria S. Marks; Krishnakant V. Saboo; Çagdas Topçu; Michal Lech; Theodore P. Thayib; Petr Nejedly; Václav Kremen; Gregory A. Worrell; Michal T. Kucewicz (NeuroImage, 2021)

Direct Electrical Stimulation of the Human Brain Has Inverse Effects on the Theta and Gamma Neural Activities. - Michal Lech; Brent M. Berry; Çagdas Topçu; Václav Kremen; Petr Nejedly; Bradley Lega; Robert E. Gross; Michael R. Sperling; Barbara C. Jobst; Sameer A. Sheth; Kareem A. Zaghloul; Kathryn A. Davis; et al. (IEEE Trans. Biomed. Eng., 2021)

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)

State space modeling of multidien cyclical progression of epilepsy. - Krishnakant V. Saboo; Yurui Cao; Václav Kremen; Suguna Pappu; Philippa J. Karoly; Dean R. Freestone; Mark J. Cook; Gregory A. Worrell; Ravishankar K. Iyer (ML4H@NeurIPS, 2024)

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)