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Dean J. Krusienski

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affiliation: Old Dominion University, Norfolk, VA, USA

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2020 – today

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2024
[j12]
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John McLinden, Neela Rahimi, Chetan Kumar, Dean J. Krusienski, Ming Shao, Kevin M. Spencer, Yalda Shahriari:
Investigation of electro-vascular phase-amplitude coupling during an auditory task. Comput. Biol. Medicine 169: 107902 (2024)
2023
[j11]
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Pedram Zanganeh Soroush, Christian Herff, Stephanie K. Riès, Jerry J. Shih, Tanja Schultz, Dean J. Krusienski:
The nested hierarchy of overt, mouthed, and imagined speech activity evident in intracranial recordings. NeuroImage 269: 119913 (2023)
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Pedram Zanganeh Soroush, S. Y. Cole, Christian Herff, Stephanie K. Riès, Jerry J. Shih, Tanja Schultz, Dean J. Krusienski:
Discrimination of Overt, Mouthed, and Imagined Speech Activity using Stereotactic EEG. NER 2023: 1-4
[c36]
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Michael Dexheimer, Garett D. Johnson, Jerry J. Shih, Christian Herff, Dean J. Krusienski:
Modeling of Perceived Musical Rhythms Using Electrocorticography. SMC 2023: 4758-4763
2022
[j10]
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Srdjan Lesaja, Morgan Stuart, Jerry J. Shih, Pedram Zanganeh Soroush, Tanja Schultz, Milos Manic, Dean J. Krusienski:
Self-Supervised Learning of Neural Speech Representations From Unlabeled Intracranial Signals. IEEE Access 10: 133526-133538 (2022)
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Pedram Zanganeh Soroush, Christian Herff, Stephanie K. Riès, Jerry J. Shih, Tanja Schultz, Dean J. Krusienski:
Contributions of Stereotactic EEG Electrodes in Grey and White Matter to Speech Activity Detection. EMBC 2022: 4789-4792
[c34]
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Miguel Angrick, Maarten C. Ottenhoff, Lorenz Diener, Darius Ivucic, Gabriel Ivucic, Sophocles Goulis, Albert J. Colon, G. Louis Wagner, Dean J. Krusienski, Pieter Leonard Kubben, Tanja Schultz, Christian Herff:
Towards Closed-Loop Speech Synthesis from Stereotactic EEG: A Unit Selection Approach. ICASSP 2022: 1296-1300
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Meghan Kumar, Connor Delaney, Dean J. Krusienski:
Estimation of Affective States in Virtual Reality Environments using EEG. PETRA 2022: 396-401
2021
[c32]
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Miguel Angrick, Maarten C. Ottenhoff, Sophocles Goulis, Albert J. Colon, G. Louis Wagner, Dean J. Krusienski, Pieter Leonard Kubben, Tanja Schultz, Christian Herff:
Speech Synthesis from Stereotactic EEG using an Electrode Shaft Dependent Multi-Input Convolutional Neural Network Approach. EMBC 2021: 6045-6048
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Meghan Kumar, Connor Delaney, Pedram Zanganeh Soroush, Yusuke Yamani, Dean J. Krusienski:
Characterization of Affective States in Virtual Reality Environments using EEG. SMC 2021: 2689-2693
[c30]
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Pedram Zanganeh Soroush, Miguel Angrick, Jerry J. Shih, Tanja Schultz, Dean J. Krusienski:
Speech Activity Detection from Stereotactic EEG. SMC 2021: 3402-3407
2020
[c29]
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Miguel Angrick, Christian Herff, Garett D. Johnson, Jerry J. Shih, Dean J. Krusienski, Tanja Schultz:
Speech Spectrogram Estimation from Intracranial Brain Activity Using a Quantization Approach. INTERSPEECH 2020: 2777-2781

2010 – 2019

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2019
[j9]
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Miguel Angrick, Christian Herff, Garett D. Johnson, Jerry J. Shih, Dean J. Krusienski, Tanja Schultz:
Interpretation of convolutional neural networks for speech spectrogram regression from intracranial recordings. Neurocomputing 342: 145-151 (2019)
[c28]
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Felix Putze, Christian Herff, Christoph Tremmel, Tanja Schultz, Dean J. Krusienski:
Decoding Mental Workload in Virtual Environments: A fNIRS Study using an Immersive n-back Task. EMBC 2019: 3103-3106
[c27]
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Tanja Schultz, Miguel Angrick, Lorenz Diener, Dennis Küster, Moritz Meier, Dean J. Krusienski, Christian Herff, Jonathan S. Brumberg:
Towards Restoration of Articulatory Movements: Functional Electrical Stimulation of Orofacial Muscles. EMBC 2019: 3111-3114
[c26]
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Christoph Tremmel, Christian Herff, Dean J. Krusienski:
EEG Movement Artifact Suppression in Interactive Virtual Reality. EMBC 2019: 4576-4579
[c25]
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Srdjan Lesaja, Christian Herff, Garett D. Johnson, Jerry J. Shih, Tanja Schultz, Dean J. Krusienski:
Decoding Lip Movements During Continuous Speech using Electrocorticography. NER 2019: 522-525
[c24]
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R. J. Deligani, Sarah M. Ismail Hosni, Theresa M. Vaughan, L. M. McCane, D. J. Zeitlin, Dennis J. McFarland, Dean J. Krusienski, Yalda Shahriari:
Neural Alterations During Use of a P300-based BCI by Individuals with Amyotrophic Lateral Sclerosis^*. NER 2019: 899-902
[c23]
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Christoph Tremmel, Dean J. Krusienski:
EEG Spectral Conditioning for Cognitive-state Classification in Interactive Virtual Reality. SMC 2019: 2806-2811
2018
[c22]
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Miguel Angrick, Christian Herff, Garett D. Johnson, Jerry J. Shih, Dean J. Krusienski, Tanja Schultz:
interpretation of convolutional neural networks for speech regression from electrocorticography. ESANN 2018
[c21]
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F. Sobreira, Christoph Tremmel, Dean J. Krusienski:
Modeling the Visual Pathway for Stimulus Optimization in Brain-Computer Interfaces. EUSIPCO 2018: 1672-1675
2017
[j8]
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Tanja Schultz, Thomas Hueber, Dean J. Krusienski, Jonathan S. Brumberg:
Introduction to the Special Issue on Biosignal-Based Spoken Communication. IEEE ACM Trans. Audio Speech Lang. Process. 25(12): 2254-2256 (2017)
[j7]
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Tanja Schultz, Michael Wand, Thomas Hueber, Dean J. Krusienski, Christian Herff, Jonathan S. Brumberg:
Biosignal-Based Spoken Communication: A Survey. IEEE ACM Trans. Audio Speech Lang. Process. 25(12): 2257-2271 (2017)
[c20]
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Nicholas R. Waytowich, Dean J. Krusienski:
Development of an extensible SSVEP-BCI software platform and application to wheelchair control. NER 2017: 259-532
2016
[j6]
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Nicholas R. Waytowich, Dean J. Krusienski:
Multiclass Steady-State Visual Evoked Potential Frequency Evaluation Using Chirp-Modulated Stimuli. IEEE Trans. Hum. Mach. Syst. 46(4): 593-600 (2016)
[c19]
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Dan Wang, Dean J. Krusienski, Zhili Hao:
A Flexible PET-based Wearable Sensor for Arterial Pulse Waveform Measurement. BIODEVICES 2016: 66-75
[c18]
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Yichao Yang, Garett D. Johnson, Dean J. Krusienski, Siqi Guo, Cheng Lin, Zhili Hao:
A Microfluidic-based Tactile Sensor for Palpating Mice Tumor Tissues. BIODEVICES 2016: 83-92
[c17]
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Christian Herff, Garett D. Johnson, Lorenz Diener, Jerry J. Shih, Dean J. Krusienski, Tanja Schultz:
Towards direct speech synthesis from ECoG: A pilot study. EMBC 2016: 1540-1543
[c16]
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Sara L. MacDonald, Dean J. Krusienski, Dimitrie C. Popescu:
Cyclostationary-based detection of steady-state visually evoked potential signals recorded from EEG. ICASSP 2016: 764-768
2015
[c15]
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Nirmal Patel, Sharmin Sultana, Tanweer Rashid, Dean J. Krusienski, Michel A. Audette:
Application and histology-driven refinement of active contour models to functional region and nerve delineation: towards a digital brainstem atlas. Medical Imaging: Image-Guided Procedures 2015: 94150I
[c14]
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Yalda Shahriari, Eric W. Sellers, L. M. McCane, Theresa M. Vaughan, Dean J. Krusienski:
Directional brain functional interaction analysis in patients with amyotrophic lateral sclerosis. NER 2015: 972-975
[c13]
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Paul V. Watkins, Luke M. Doolittle, Dean J. Krusienski, Nicholas R. Anderson:
A theoretical limit and simulation of time-domain event detection in the EEG. NER 2015: 1020-1023
[c12]
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Inchul Choi, Kyle Bond, Dean J. Krusienski, Chang S. Nam:
Comparison of Stimulation Patterns to Elicit Steady-State Somatosensory Evoked Potentials (SSSEPs): Implications for Hybrid and SSSEP-Based BCIs. SMC 2015: 3122-3127
2014
[r1]
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Brendan Z. Allison, Dean J. Krusienski:
Noninvasive Brain-Computer Interfaces. Encyclopedia of Computational Neuroscience 2014
2013
[j5]
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Yu-Fei Shen, Dean J. Krusienski, Jiang Li, Zia-ur Rahman:
A Hierarchical Horizon Detection Algorithm. IEEE Geosci. Remote. Sens. Lett. 10(1): 111-114 (2013)
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Yu-Fei Shen, Zia-ur Rahman, Dean J. Krusienski, Jiang Li:
A Vision-Based Automatic Safe Landing-Site Detection System. IEEE Trans. Aerosp. Electron. Syst. 49(1): 294-311 (2013)
[c11]
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Nicholas R. Anderson, Timothy Blakely, Peter Brunner, Dean J. Krusienski, Daniel W. Moran, Eric C. Leuthardt:
High-frequency spectral changes in Dorsolateral Prefrontal Cortex for potential neuoroprosthetics. EMBC 2013: 2247-2250
2012
[c10]
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Dean J. Krusienski, Jerry J. Shih:
Spectral components of the P300 speller response in and adjacent to the hippocampus. SMC 2012: 274-277
2011
[c9]
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Garett D. Johnson, Nicholas R. Waytowich, Dean J. Krusienski:
The Challenges of Using Scalp-EEG Input Signals for Continuous Device Control. HCI (20) 2011: 525-527
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Yu-Fei Shen, Zia-ur Rahman, Dean J. Krusienski, Jiang Li:
Automatic detection of aircraft emergency landing sites. Visual Information Processing 2011: 80560H

2000 – 2009

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2009
[j3]
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Dean J. Krusienski:
A Method for Visualizing Independent Spatio-Temporal Patterns of Brain Activity. EURASIP J. Adv. Signal Process. 2009 (2009)
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Nicholas R. Anderson, Kimberly Wisneski, Lawrence Eisenman, Daniel W. Moran, Eric Leuthardt, Dean J. Krusienski:
An Offline Evaluation of the Autoregressive Spectrum for Electrocorticography. IEEE Trans. Biomed. Eng. 56(3): 913-916 (2009)
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Garett D. Johnson, Dean J. Krusienski:
Ensemble SWLDA Classifiers for the P300 Speller. HCI (2) 2009: 551-557
2007
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Dean J. Krusienski, Gerwin Schalk, Dennis J. McFarland, Jonathan R. Wolpaw:
A μ -Rhythm Matched Filter for Continuous Control of a Brain-Computer Interface. IEEE Trans. Biomed. Eng. 54(2): 273-280 (2007)
2006
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Dean J. Krusienski, Dennis J. McFarland, Jonathan R. Wolpaw:
An Evaluation of Autoregressive Spectral Estimation Model Order for Brain-Computer Interface Applications. EMBC 2006: 1323-1326
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Dean J. Krusienski, W. Kenneth Jenkins:
A modified particle swarm optimization algorithm for adaptive filtering. ISCAS 2006
2005
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Dean J. Krusienski, William Kenneth Jenkins:
Nonparametric density estimation based independent component analysis via particle swarm optimization. ICASSP (4) 2005: 357-360
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Siddharth Pal, Dean J. Krusienski, W. Kenneth Jenkins:
Structured stochastic optimization strategies for problems with ill-conditioned error surfaces. ISCAS (3) 2005: 2291-2294
2004
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Dean J. Krusienski, W. Kenneth Jenkins:
Particle swarm optimization for adaptive IIR filter structures. IEEE Congress on Evolutionary Computation 2004: 965-970
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Dean J. Krusienski, W. Kenneth Jenkins:
The application of particle swarm optimization to adaptive IIR phase equalization. ICASSP (2) 2004: 693-696

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