Dean J. Krusienski

According to our database, Dean J. Krusienski authored at least 51 papers between 2004 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Investigation of electro-vascular phase-amplitude coupling during an auditory task.

John McLinden, Neela Rahimi, Chetan Kumar, Dean J. Krusienski, Ming Shao, Kevin M. Spencer, Yalda Shahriari

Comput. Biol. Medicine, February, 2024

Speech Sensitivity Analysis of Spatially Distributed Brain Areas Using Stereotactic EEG.

Darius Ivucic, Michael Dexheimer, Pedram Zanganeh Soroush, Stephanie K. Riès, Jerry J. Shih, Dean J. Krusienski, Tanja Schultz

Proceedings of the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2024

2023

The nested hierarchy of overt, mouthed, and imagined speech activity evident in intracranial recordings.

Pedram Zanganeh Soroush, Christian Herff, Stephanie K. Riès, Jerry J. Shih, Tanja Schultz, Dean J. Krusienski

NeuroImage, April, 2023

Modeling of Perceived Musical Rhythms Using Electrocorticography.

Michael Dexheimer, Garett D. Johnson, Jerry J. Shih, Christian Herff, Dean J. Krusienski

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

Discrimination of Overt, Mouthed, and Imagined Speech Activity using Stereotactic EEG.

Pedram Zanganeh Soroush, S. Y. Cole, Christian Herff, Stephanie K. Riès, Jerry J. Shih, Tanja Schultz, Dean J. Krusienski

Proceedings of the 11th International IEEE/EMBS Conference on Neural Engineering, 2023

2022

Self-Supervised Learning of Neural Speech Representations From Unlabeled Intracranial Signals.

Srdjan Lesaja, Morgan Stuart, Jerry J. Shih, Pedram Zanganeh Soroush, Tanja Schultz, Milos Manic, Dean J. Krusienski

IEEE Access, 2022

Estimation of Affective States in Virtual Reality Environments using EEG.

Meghan Kumar, Connor Delaney, Dean J. Krusienski

Proceedings of the PETRA '22: The 15th International Conference on PErvasive Technologies Related to Assistive Environments, Corfu, Greece, 29 June 2022, 2022

Towards Closed-Loop Speech Synthesis from Stereotactic EEG: A Unit Selection Approach.

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

Proceedings of the IEEE International Conference on Acoustics, 2022

Contributions of Stereotactic EEG Electrodes in Grey and White Matter to Speech Activity Detection.

Pedram Zanganeh Soroush, Christian Herff, Stephanie K. Riès, Jerry J. Shih, Tanja Schultz, Dean J. Krusienski

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

2021

Speech Activity Detection from Stereotactic EEG.

Pedram Zanganeh Soroush, Miguel Angrick, Jerry J. Shih, Tanja Schultz, Dean J. Krusienski

Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021

Characterization of Affective States in Virtual Reality Environments using EEG.

Meghan Kumar, Connor Delaney, Pedram Zanganeh Soroush, Yusuke Yamani, Dean J. Krusienski

Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021

Speech Synthesis from Stereotactic EEG using an Electrode Shaft Dependent Multi-Input Convolutional Neural Network Approach.

Miguel Angrick, Maarten C. Ottenhoff, Sophocles Goulis, Albert J. Colon, G. Louis Wagner, Dean J. Krusienski, Pieter Leonard Kubben, Tanja Schultz, Christian Herff

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020

Speech Spectrogram Estimation from Intracranial Brain Activity Using a Quantization Approach.

Miguel Angrick, Christian Herff, Garett D. Johnson, Jerry J. Shih, Dean J. Krusienski, Tanja Schultz

Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

2019

Interpretation of convolutional neural networks for speech spectrogram regression from intracranial recordings.

Miguel Angrick, Christian Herff, Garett D. Johnson, Jerry J. Shih, Dean J. Krusienski, Tanja Schultz

Neurocomputing, 2019

EEG Spectral Conditioning for Cognitive-state Classification in Interactive Virtual Reality.

Christoph Tremmel, Dean J. Krusienski

Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

Decoding Lip Movements During Continuous Speech using Electrocorticography.

Srdjan Lesaja, Christian Herff, Garett D. Johnson, Jerry J. Shih, Tanja Schultz, Dean J. Krusienski

Proceedings of the 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER), 2019

Neural Alterations During Use of a P300-based BCI by Individuals with Amyotrophic Lateral Sclerosis^*.

R. J. Deligani, Sarah M. Ismail Hosni, Theresa M. Vaughan, L. M. McCane, D. J. Zeitlin, Dennis J. McFarland, Dean J. Krusienski, Yalda Shahriari

Proceedings of the 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER), 2019

EEG Movement Artifact Suppression in Interactive Virtual Reality.

Christoph Tremmel, Christian Herff, Dean J. Krusienski

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

Towards Restoration of Articulatory Movements: Functional Electrical Stimulation of Orofacial Muscles.

Tanja Schultz, Miguel Angrick, Lorenz Diener, Dennis Küster, Moritz Meier, Dean J. Krusienski, Christian Herff, Jonathan S. Brumberg

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

Decoding Mental Workload in Virtual Environments: A fNIRS Study using an Immersive n-back Task.

Felix Putze, Christian Herff, Christoph Tremmel, Tanja Schultz, Dean J. Krusienski

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

2018

Modeling the Visual Pathway for Stimulus Optimization in Brain-Computer Interfaces.

F. Sobreira, Christoph Tremmel, Dean J. Krusienski

Proceedings of the 26th European Signal Processing Conference, 2018

interpretation of convolutional neural networks for speech regression from electrocorticography.

Miguel Angrick, Christian Herff, Garett D. Johnson, Jerry J. Shih, Dean J. Krusienski, Tanja Schultz

Proceedings of the 26th European Symposium on Artificial Neural Networks, 2018

2017

Biosignal-Based Spoken Communication: A Survey.

Tanja Schultz, Michael Wand, Thomas Hueber, Dean J. Krusienski, Christian Herff, Jonathan S. Brumberg

IEEE ACM Trans. Audio Speech Lang. Process., 2017

Introduction to the Special Issue on Biosignal-Based Spoken Communication.

Tanja Schultz, Thomas Hueber, Dean J. Krusienski, Jonathan S. Brumberg

IEEE ACM Trans. Audio Speech Lang. Process., 2017

Development of an extensible SSVEP-BCI software platform and application to wheelchair control.

Nicholas R. Waytowich, Dean J. Krusienski

Proceedings of the 8th International IEEE/EMBS Conference on Neural Engineering, 2017

2016

Multiclass Steady-State Visual Evoked Potential Frequency Evaluation Using Chirp-Modulated Stimuli.

Nicholas R. Waytowich, Dean J. Krusienski

IEEE Trans. Hum. Mach. Syst., 2016

Cyclostationary-based detection of steady-state visually evoked potential signals recorded from EEG.

Sara L. MacDonald, Dean J. Krusienski, Dimitrie C. Popescu

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Towards direct speech synthesis from ECoG: A pilot study.

Christian Herff, Garett D. Johnson, Lorenz Diener, Jerry J. Shih, Dean J. Krusienski, Tanja Schultz

Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

A Microfluidic-based Tactile Sensor for Palpating Mice Tumor Tissues.

Yichao Yang, Garett D. Johnson, Dean J. Krusienski, Siqi Guo, Cheng Lin, Zhili Hao

Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2016), 2016

A Flexible PET-based Wearable Sensor for Arterial Pulse Waveform Measurement.

Dan Wang, Dean J. Krusienski, Zhili Hao

Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2016), 2016

2015

Comparison of Stimulation Patterns to Elicit Steady-State Somatosensory Evoked Potentials (SSSEPs): Implications for Hybrid and SSSEP-Based BCIs.

Inchul Choi, Kyle Bond, Dean J. Krusienski, Chang S. Nam

Proceedings of the 2015 IEEE International Conference on Systems, 2015

A theoretical limit and simulation of time-domain event detection in the EEG.

Paul V. Watkins, Luke M. Doolittle, Dean J. Krusienski, Nicholas R. Anderson

Proceedings of the 7th International IEEE/EMBS Conference on Neural Engineering, 2015

Directional brain functional interaction analysis in patients with amyotrophic lateral sclerosis.

Yalda Shahriari, Eric W. Sellers, L. M. McCane, Theresa M. Vaughan, Dean J. Krusienski

Proceedings of the 7th International IEEE/EMBS Conference on Neural Engineering, 2015

Application and histology-driven refinement of active contour models to functional region and nerve delineation: towards a digital brainstem atlas.

Nirmal Patel, Sharmin Sultana, Tanweer Rashid, Dean J. Krusienski, Michel A. Audette

Proceedings of the Medical Imaging 2015: Image-Guided Procedures, 2015

2014

Noninvasive Brain-Computer Interfaces.

Brendan Z. Allison, Dean J. Krusienski

Proceedings of the Encyclopedia of Computational Neuroscience, 2014

2013

A Vision-Based Automatic Safe Landing-Site Detection System.

Yu-Fei Shen, Zia-ur Rahman, Dean J. Krusienski, Jiang Li

IEEE Trans. Aerosp. Electron. Syst., 2013

A Hierarchical Horizon Detection Algorithm.

Yu-Fei Shen, Dean J. Krusienski, Jiang Li, Zia-ur Rahman

IEEE Geosci. Remote. Sens. Lett., 2013

High-frequency spectral changes in Dorsolateral Prefrontal Cortex for potential neuoroprosthetics.

Nicholas R. Anderson, Timothy Blakely, Peter Brunner, Dean J. Krusienski, Daniel W. Moran, Eric C. Leuthardt

Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

2012

Spectral components of the P300 speller response in and adjacent to the hippocampus.

Dean J. Krusienski, Jerry J. Shih

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2012

2011

Automatic detection of aircraft emergency landing sites.

Yu-Fei Shen, Zia-ur Rahman, Dean J. Krusienski, Jiang Li

Proceedings of the Visual Information Processing XX, 2011

The Challenges of Using Scalp-EEG Input Signals for Continuous Device Control.

Garett D. Johnson, Nicholas R. Waytowich, Dean J. Krusienski

Proceedings of the Foundations of Augmented Cognition. Directing the Future of Adaptive Systems, 2011

2009

An Offline Evaluation of the Autoregressive Spectrum for Electrocorticography.

Nicholas R. Anderson, Kimberly Wisneski, Lawrence Eisenman, Daniel W. Moran, Eric Leuthardt, Dean J. Krusienski

IEEE Trans. Biomed. Eng., 2009

A Method for Visualizing Independent Spatio-Temporal Patterns of Brain Activity.

Dean J. Krusienski

EURASIP J. Adv. Signal Process., 2009

Ensemble SWLDA Classifiers for the P300 Speller.

Garett D. Johnson, Dean J. Krusienski

Proceedings of the Human-Computer Interaction. Novel Interaction Methods and Techniques, 2009

2007

A μ -Rhythm Matched Filter for Continuous Control of a Brain-Computer Interface.

Dean J. Krusienski, Gerwin Schalk, Dennis J. McFarland, Jonathan R. Wolpaw

IEEE Trans. Biomed. Eng., 2007

2006

A modified particle swarm optimization algorithm for adaptive filtering.

Dean J. Krusienski, W. Kenneth Jenkins

Proceedings of the International Symposium on Circuits and Systems (ISCAS 2006), 2006

An Evaluation of Autoregressive Spectral Estimation Model Order for Brain-Computer Interface Applications.

Dean J. Krusienski, Dennis J. McFarland, Jonathan R. Wolpaw

Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006

2005

Structured stochastic optimization strategies for problems with ill-conditioned error surfaces.

Siddharth Pal, Dean J. Krusienski, W. Kenneth Jenkins

Proceedings of the International Symposium on Circuits and Systems (ISCAS 2005), 2005

Nonparametric density estimation based independent component analysis via particle swarm optimization.

Dean J. Krusienski, William Kenneth Jenkins

Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

2004

The application of particle swarm optimization to adaptive IIR phase equalization.

Dean J. Krusienski, W. Kenneth Jenkins

Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

Particle swarm optimization for adaptive IIR filter structures.

Dean J. Krusienski, W. Kenneth Jenkins

Proceedings of the IEEE Congress on Evolutionary Computation, 2004