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Gregory A. Worrell
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2020 – today
- 2024
- [j22]Irena Balzekas
, Joshua Trzasko, Grace Yu, Thomas J. Richner, Filip Mivalt, Vladimir Sladky, Nicholas M. Gregg, Jamie Van Gompel, Kai J. Miller
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) - [c32]Amir Hossein Ayyoubi, Behrang Fazli Besheli, Jhan L. Okkabaz, Swamy Chandra Prakash, Kai J. Miller, Gregory A. Worrell, Nuri F. Ince:
A Synchronous iEEG Data Acquisition Framework for Dual Brain Interchange Systems. MWSCAS 2024: 1319-1323 - 2023
- [j21]Kai J. Miller
Canonical Response Parameterization: Quantifying the structure of responses to single-pulse intracranial electrical brain stimulation. PLoS Comput. Biol. 19(5) (2023) - [c31]Yurui Cao, Krishnakant V. Saboo, Václav Kremen
A Transfer Learning-based Model for Individualized Clustered Seizure Prediction Using Intracranial EEG. NER 2023: 1-4 - [c30]Teja Gupta, Neeraj Wagh, Samarth Rawal, Brent M. Berry, Gregory A. Worrell, Yogatheesan Varatharajah:
Tensor Decomposition of Large-scale Clinical EEGs Reveals Interpretable Patterns of Brain Physiology. NER 2023: 1-4 - 2022
- [j20]Krishnakant V. Saboo
Deep learning identifies brain structures that predict cognition and explain heterogeneity in cognitive aging. NeuroImage 251: 119020 (2022) - [c29]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 - [c28]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 - [c27]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 - [c26]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 - [i4]Teja Gupta, Neeraj Wagh, Samarth Rawal, Brent M. Berry
Tensor Decomposition of Large-scale Clinical EEGs Reveals Interpretable Patterns of Brain Physiology. CoRR abs/2211.13793 (2022) - 2021
- [j19]Victoria S. Marks, Krishnakant V. Saboo, Çagdas Topçu
Independent dynamics of low, intermediate, and high frequency spectral intracranial EEG activities during human memory formation. NeuroImage 245: 118637 (2021) - [j18]Michal Lech
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) - [c25]Neeraj Wagh, Jionghao Wei, Samarth Rawal, Brent M. Berry, Leland Barnard, Benjamin H. Brinkmann, Gregory A. Worrell, David T. Jones, Yogatheesan Varatharajah:
Domain-guided Self-supervision of EEG Data Improves Downstream Classification Performance and Generalizability. ML4H@NeurIPS 2021: 130-142 - [c24]Krishnakant V. Saboo, Anirudh Choudhary, Yurui Cao, Gregory A. Worrell, David T. Jones, Ravishankar K. Iyer:
Reinforcement Learning based Disease Progression Model for Alzheimer's Disease. NeurIPS 2021: 20903-20915 - [i3]Krishnakant V. Saboo, Anirudh Choudhary, Yurui Cao, Gregory A. Worrell, David T. Jones, Ravishankar K. Iyer:
Reinforcement Learning based Disease Progression Model for Alzheimer's Disease. CoRR abs/2106.16187 (2021) - [i2]Mayela Zamora, Sebastian Meller, Filip Kajin, James J. Sermon, Robert Toth
Embedding digital chronotherapy into medical devices - A canine case study in controlling status epilepticus through multi-scale rhythmic brain stimulation. CoRR abs/2107.02993 (2021) - 2020
- [j17]Mona Nasseri
Semi-supervised training data selection improves seizure forecasting in canines with epilepsy. Biomed. Signal Process. Control. 57 (2020) - [c23]Yogatheesan Varatharajah, Brent M. Berry
Electrophysiological Correlates of Brain Health Help Diagnose Epilepsy and Lateralize Seizure Focus. EMBC 2020: 3460-3464 - [c22]Robert Toth
DyNeuMo Mk-2: An Investigational Circadian-Locked Neuromodulator with Responsive Stimulation for Applied Chronobiology. SMC 2020: 3433-3440
2010 – 2019
- 2019
- [j16]Petr Nejedly
Intracerebral EEG Artifact Identification Using Convolutional Neural Networks. Neuroinformatics 17(2): 225-234 (2019) - [c21]Krishnakant V. Saboo, Yogatheesan Varatharajah, Brent M. Berry
A Computationally Efficient Model for Predicting Successful Memory Encoding Using Machine-Learning-based EEG Channel Selection. NER 2019: 323-327 - 2018
- [j15]Scott Stanslaski
A Chronically Implantable Neural Coprocessor for Investigating the Treatment of Neurological Disorders. IEEE Trans. Biomed. Circuits Syst. 12(6): 1230-1245 (2018) - [c20]Scott Stanslaski, Jeffrey Herron, Elizabeth Fehrmann, Rob Corey, Heather Orser, Enrico Opri, Václav Kremen
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
- [j14]Yogatheesan Varatharajah, Ravishankar K. Iyer, Brent M. Berry
Seizure Forecasting and the Preictal State in Canine Epilepsy. Int. J. Neural Syst. 27(1): 1650046:1-1650046:12 (2017) - [j13]James E. Kragel
Similar patterns of neural activity predict memory function during encoding and retrieval. NeuroImage 155: 60-71 (2017) - [j12]Han-Tai Shiao
SVM-Based System for Prediction of Epileptic Seizures From iEEG Signal. IEEE Trans. Biomed. Eng. 64(5): 1011-1022 (2017) - [c19]Václav Kremen
Live demonstration: Continuous active probing and modulation of neural networks with a wireless implantable system. BioCAS 2017: 1 - [c18]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 - [c17]Yogatheesan Varatharajah, Brent M. Berry
Inter-ictal Seizure Onset Zone localization using unsupervised clustering and Bayesian Filtering. NER 2017: 533-539 - [c16]Yogatheesan Varatharajah, Min Jin Chong, Krishnakant V. Saboo, Brent M. Berry, Benjamin H. Brinkmann, Gregory A. Worrell, Ravishankar K. Iyer:
EEG-GRAPH: A Factor-Graph-Based Model for Capturing Spatial, Temporal, and Observational Relationships in Electroencephalograms. NIPS 2017: 5371-5380 - 2016
- [j11]Abbas Sohrabpour, Yunfeng Lu, Gregory A. Worrell, Bin He
Imaging brain source extent from EEG/MEG by means of an iteratively reweighted edge sparsity minimization (IRES) strategy. NeuroImage 142: 27-42 (2016) - [j10]Michal T. Kucewicz
Combined Single Neuron Unit Activity and Local Field Potential Oscillations in a Human Visual Recognition Memory Task. IEEE Trans. Biomed. Eng. 63(1): 67-75 (2016) - [j9]Abbas Sohrabpour, Shuai Ye, Gregory A. Worrell, Wenbo Zhang, Bin He
Noninvasive Electromagnetic Source Imaging and Granger Causality Analysis: An Electrophysiological Connectome (eConnectome) Approach. IEEE Trans. Biomed. Eng. 63(12): 2474-2487 (2016) - [c15]Abbas Sohrabpour, Yunfeng Lu, Gregory A. Worrell, Bin He
Identifying epileptic source location and extent: An iterative sparse electromagnetic source imaging algorithm. EMBC 2016: 109-112 - [c14]David R. Holmes, Benjamin H. Brinkmann
Feasibility of tracked electrodes for use in epilepsy surgery. Image-Guided Procedures 2016: 97862M - 2015
- [j8]Yunfeng Lu, Gregory A. Worrell, Huishi Clara Zhang, Lin Yang, Benjamin H. Brinkmann
Corrections to "Noninvasive Imaging of the High Frequency Brain Activity in Focal Epilepsy Patients". IEEE Trans. Biomed. Eng. 62(8): 2092 (2015) - [c13]Petr Klimes
Connectivity of epileptic brain regions in wake and sleep. EMBC 2015: 2191-2194 - [c12]Vladimir Cherkassky, Brandon Veber, Jieun Lee, Han-Tai Shiao, Ned Patterson, Gregory A. Worrell, Benjamin H. Brinkmann
Reliable seizure prediction from EEG data. IJCNN 2015: 1-8 - 2014
- [j7]Yunfeng Lu, Gregory A. Worrell, Huishi Clara Zhang, Lin Yang, Benjamin H. Brinkmann
Noninvasive Imaging of the High Frequency Brain Activity in Focal Epilepsy Patients. IEEE Trans. Biomed. Eng. 61(6): 1660-1667 (2014) - [c11]Clara H. Zhang, Yunfeng Lu, Benjamin H. Brinkmann
Using functional MRI alone for localization in focal epilepsy. EMBC 2014: 730-733 - 2013
- [c10]Yunfeng Lu, Gregory A. Worrell, Huishi Clara Zhang, Abbas Sohrabpour, Bin He
EEG source imaging and connectivity analysis in epilepsy patients. ACSSC 2013: 795-797 - 2012
- [c9]Tim R. Mullen, Gregory A. Worrell, Scott Makeig:
Multivariate principal oscillation pattern analysis of ICA sources during seizure. EMBC 2012: 2921-2924 - [c8]Yunfeng Lu, Lin Yang, Gregory A. Worrell, Benjamin H. Brinkmann
Dynamic seizure imaging in patients with extratemporal lobe epilepsy. EMBC 2012: 6228-6231 - 2011
- [j6]Lin Yang, Christopher T. Wilke
Dynamic imaging of ictal oscillations using non-invasive high-resolution EEG. NeuroImage 56(4): 1908-1917 (2011) - [j5]Sanqing Hu, Guojun Dai, Gregory A. Worrell, Qionghai Dai, Hualou Liang:
Causality Analysis of Neural Connectivity: Critical Examination of Existing Methods and Advances of New Methods. IEEE Trans. Neural Networks 22(6): 829-844 (2011) - [c7]Tim R. Mullen, Zeynep Akalin Acar, Gregory A. Worrell, Scott Makeig:
Modeling cortical source dynamics and interactions during seizure. EMBC 2011: 1411-1414 - [c6]Zeynep Akalin Acar, Jason A. Palmer, Gregory A. Worrell, Scott Makeig:
Electrocortical source imaging of intracranial EEG data in epilepsy. EMBC 2011: 3909-3912 - [c5]Lin Yang, Christopher T. Wilke
Dynamic imaging of ictal rhythmic activity using dense-array EEG. EMBC 2011: 8271-8274 - 2010
- [j4]Sanqing Hu, Matt Stead, Qionghai Dai, Gregory A. Worrell:
On the Recording Reference Contribution to EEG Correlation, Phase Synchorony, and Coherence. IEEE Trans. Syst. Man Cybern. Part B 40(5): 1294-1304 (2010)
2000 – 2009
- 2009
- [c4]Sanqing Hu, Matt Stead, Hualou Liang, Gregory A. Worrell:
Reference Signal Impact on EEG Energy. ISNN (3) 2009: 605-611 - 2008
- [c3]Sanqing Hu, Matt Stead, Gregory A. Worrell:
Removal of Scalp Reference Signal and Line Noise for Intracranial EEGs. ICNSC 2008: 1486-1491 - 2007
- [j3]Lei Ding, Gregory A. Worrell, Terrence D. Lagerlund, Bin He
Ictal source analysis: Localization and imaging of causal interactions in humans. NeuroImage 34(2): 575-586 (2007) - [j2]Sanqing Hu, Matt Stead, Gregory A. Worrell:
Automatic Identification and Removal of Scalp Reference Signal for Intracranial EEGs Based on Independent Component Analysis. IEEE Trans. Biomed. Eng. 54(9): 1560-1572 (2007) - [c2]Sanqing Hu, Matt Stead, Andrew B. Gardner, Gregory A. Worrell:
The Effect of Recording Reference on EEG: Phase Synchrony and Coherence. ISNN (2) 2007: 1273-1280 - 2006
- [c1]Lei Ding, Gregory A. Worrell, Terrence D. Lagerlund, Bin He
Spatio-temporal Source Localization and Granger Causality in Ictal Source Analysis. EMBC 2006: 3670-3671 - 2005
- [j1]Matt Stead, Gregory A. Worrell, Brian Litt:
Frequency and dependence of long range temporal correlations in human hippocampal energy fluctuations. Complex. 10(5): 35-44 (2005)
Coauthor Index
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last updated on 2024-12-02 22:30 CET by the dblp team
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