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ORCIDVáclav Kremen
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2020 – today
- 2024
[j12]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:
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. PLoS Comput. Biol. 20(4): 1011152 (2024)- 2023
- [c15]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:
A Transfer Learning-based Model for Individualized Clustered Seizure Prediction Using Intracranial EEG. NER 2023: 1-4 - 2022
- [c14]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:
Individualized seizure cluster prediction using machine learning and ambulatory intracranial EEG. BIBM 2022: 1157-1163 - [c13]Victoria S. Marks, Tom J. Richner, Nicholas M. Gregg, Vladimir Sladky, Jaromir Dolezal, Václav Kremen, Gregory A. Worrell, Michal T. Kucewicz:
Deep Brain Stimulation of Anterior Nuclei of the Thalamus and Hippocampal Seizure Rate Modulate Verbal Memory Performance. EIT 2022: 1-4 - [c12]Vladimir Sladky, Václav Kremen, Kevin L. McQuown, Filip Mivalt, Benjamin H. Brinkmann, Jamie Van Gompel, Kai J. Miller, Timothy Denison, Gregory A. Worrell:
Integrated human-machine interface for closed-loop stimulation using implanted and wearable devices. SMC 2022: 1730-1735 - [c11]Filip Mivalt, Vladimir Sladky, Irena Balzekas, Tereza Pridalova, Kai J. Miller, Jamie Van Gompel, Timothy Denison, Benjamin H. Brinkmann, Václav Kremen, Gregory A. Worrell:
Deep Generative Networks for Algorithm Development in Implantable Neural Technology. SMC 2022: 1736-1741 - 2021
- [j11]Victoria S. Marks, Krishnakant V. Saboo, Çagdas Topçu, Michal Lech, Theodore P. Thayib, Petr Nejedly, Václav Kremen, Gregory A. Worrell, Michal T. Kucewicz:
Independent dynamics of low, intermediate, and high frequency spectral intracranial EEG activities during human memory formation. NeuroImage 245: 118637 (2021) - [j10]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, Gregory A. Worrell, Michal T. Kucewicz:
Direct Electrical Stimulation of the Human Brain Has Inverse Effects on the Theta and Gamma Neural Activities. IEEE Trans. Biomed. Eng. 68(12): 3701-3712 (2021) - 2020
- [j9]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, Benjamin H. Brinkmann, Gregory A. Worrell:
Semi-supervised training data selection improves seizure forecasting in canines with epilepsy. Biomed. Signal Process. Control. 57 (2020) - [c10]Yogatheesan Varatharajah, Brent M. Berry, Boney Joseph, Irena Balzekas, Václav Kremen, Benjamin H. Brinkmann, Gregory A. Worrell, Ravishankar K. Iyer:
Electrophysiological Correlates of Brain Health Help Diagnose Epilepsy and Lateralize Seizure Focus. EMBC 2020: 3460-3464 - [c9]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, Timothy G. Constandinou, Ivor Gillbe, Stefan De Wachter, Charles Knowles, Andrew Sharott, Antonio Valentín, Alexander L. Green, Timothy Denison:
DyNeuMo Mk-2: An Investigational Circadian-Locked Neuromodulator with Responsive Stimulation for Applied Chronobiology. SMC 2020: 3433-3440
2010 – 2019
- 2019
- [j8]Iva Milerská, Václav Kremen, Václav Gerla, Erik K. St Louis, Lenka Lhotská:
Semi-automated detection of polysomnographic REM sleep without atonia (RSWA) in REM sleep behavioral disorder. Biomed. Signal Process. Control. 51: 243-252 (2019) - [j7]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:
Intracerebral EEG Artifact Identification Using Convolutional Neural Networks. Neuroinformatics 17(2): 225-234 (2019) - [j6]Vratislav Fabián, Lukas Matera, Kristyna Bayerova, Jan Havlík, Václav Kremen, Jan Pudil, Pavol Sajgalik, David Zemanek:
Noninvasive Assessment of Aortic Pulse Wave Velocity by the Brachial Occlusion-Cuff Technique: Comparative Study. Sensors 19(16): 3467 (2019) - 2018
- [j5]Eva M. Cirugeda-Roldán, Antonio Molina-Picó, Daniel Novák, David Cuesta-Frau, Václav Kremen:
Sample Entropy Analysis of Noisy Atrial Electrograms during Atrial Fibrillation. Comput. Math. Methods Medicine 2018: 1874651:1-1874651:8 (2018) - [j4]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, Timothy Denison:
A Chronically Implantable Neural Coprocessor for Investigating the Treatment of Neurological Disorders. IEEE Trans. Biomed. Circuits Syst. 12(6): 1230-1245 (2018) - [c8]Václav Gerla, Václav Kremen, Martin Macas, Elizaveta Saifutdinová, Arnost Mládek, Lenka Lhotská:
Expert-in-the-loop Learning for Sleep EEG Data. BIBM 2018: 2590-2596 - [c7]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:
Creating neural "co-processors" to explore treatments for neurological disorders. ISSCC 2018: 460-462 - [i1]Yogatheesan Varatharajah, Brent M. Berry, Jan Cimbalnik, Václav Kremen, Jamie Van Gompel, Matt Stead, Benjamin H. Brinkmann, Ravishankar K. Iyer, Gregory A. Worrell:
Integrating Artificial Intelligence with Real-time Intracranial EEG Monitoring to Automate Interictal Identification of Seizure Onset Zones in Focal Epilepsy. CoRR abs/1812.06234 (2018) - 2017
- [j3]Václav Gerla, Václav Kremen, Naima Covassin, Lenka Lhotská, Elizaveta Saifutdinová, Jiri Bukartyk, Vladimír Marík, Virend K. Somers:
Automatic identification of artifacts and unwanted physiologic signals in EEG and EOG during wakefulness. Biomed. Signal Process. Control. 31: 381-390 (2017) - [j2]Sara Isabel Duque, Andrés Orozco-Duque, Václav Kremen, Daniel Novák, Catalina Tobón, John Bustamante:
Feature subset selection and classification of intracardiac electrograms during atrial fibrillation. Biomed. Signal Process. Control. 38: 182-190 (2017) - [c6]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:
Live demonstration: Continuous active probing and modulation of neural networks with a wireless implantable system. BioCAS 2017: 1 - [c5]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:
Continuous active probing and modulation of neural networks with a wireless implantable system. BioCAS 2017: 1-4 - 2015
- [j1]Eva M. Cirugeda-Roldán, Daniel Novák, Václav Kremen, David Cuesta-Frau, Matthias Walter Keller, Armin Luik, Martina Srutová:
Characterization of Complex Fractionated Atrial Electrograms by Sample Entropy: An International Multi-Center Study. Entropy 17(11): 7493-7509 (2015) - 2014
- [c4]Andrés Orozco-Duque, Sara Isabel Duque, Juan P. Ugarte, Catalina Tobón, Daniel Novák, Václav Kremen, Germán Castellanos-Domínguez, Javier Saiz, John Bustamante:
Fractionated electrograms and rotors detection in chronic atrial fibrillation using model-based clustering. EMBC 2014: 1579-1582 - [c3]Jakub Kuzilek, Václav Kremen, Lenka Lhotská:
Comparison of JADE and Canonical Correlation Analysis for ECG de-noising. EMBC 2014: 3857-3860
2000 – 2009
- 2008
- [c2]Václav Kremen, Lenka Lhotská:
Evaluation of Novel Algorithm for Search of Signal Complexes to Describe Complex Fractionated Atrial Electrogram. BIOSIGNALS (2) 2008: 416-419 - [c1]Pavel Kordík, Václav Kremen, Lenka Lhotská:
The GAME Algorithm Applied to Complex Fractionated Atrial Electrograms Data Set. ICANN (2) 2008: 859-868 - 2007
- [p1]Martin Macas, Lenka Lhotská, Václav Kremen:
Social Impact based Approach to Feature Subset Selection. NICSO 2007: 239-248
Coauthor Index
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