Dean J. Krusienski

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 29

Top Topics

Virtual Reality

Speech Synthesis

Software Platform

Convolutional Neural Networks

Top Venues

Publications

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 (2024)
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 (2023)
Michael Dexheimer, Garett D. Johnson, Jerry J. Shih, Christian Herff, Dean J. Krusienski
Modeling of Perceived Musical Rhythms Using Electrocorticography. SMC (2023)
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)
Pedram Zanganeh Soroush, Christian Herff, Stephanie Ries, Jerry J. Shih, Tanja Schultz, Dean J. Krusienski
Contributions of Stereotactic EEG Electrodes in Grey and White Matter to Speech Activity Detection. EMBC (2022)
Meghan Kumar, Connor Delaney, Dean J. Krusienski
Estimation of Affective States in Virtual Reality Environments using EEG. PETRA (2022)
Miguel Angrick, Maarten C. Ottenhoff, Lorenz Diener, Darius Ivucic, Gabriel Ivucic, Sophocles Goulis, Albert J. Colon, Louis Wagner, Dean J. Krusienski, Pieter L. Kubben, Tanja Schultz, Christian Herff
Towards Closed-Loop Speech Synthesis from Stereotactic EEG: A Unit Selection Approach. ICASSP (2022)
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 (2022)
Meghan Kumar, Connor Delaney, Pedram Zanganeh Soroush, Yusuke Yamani, Dean J. Krusienski
Characterization of Affective States in Virtual Reality Environments using EEG. SMC (2021)
P. Z. Soroush, Miguel Angrick, Jerry J. Shih, T. Schultz, Dean J. Krusienski
Speech Activity Detection from Stereotactic EEG. SMC (2021)
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)
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)
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)
R. J. Deligani, Sarah Ismail Hosni, Theresa M. Vaughan, L. M. McCane, D. J. Zeitlin, Dennis J. McFarland, Dean J. Krusienski, Yalda Shahriari
. NER (2019)
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 (2019)
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)
Christoph Tremmel, Dean J. Krusienski
EEG Spectral Conditioning for Cognitive-state Classification in Interactive Virtual Reality. SMC (2019)
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)
Christoph Tremmel, Christian Herff, Dean J. Krusienski
EEG Movement Artifact Suppression in Interactive Virtual Reality. EMBC (2019)
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)
F. Sobreira, Christoph Tremmel, Dean J. Krusienski
Modeling the Visual Pathway for Stimulus Optimization in Brain-Computer Interfaces. EUSIPCO (2018)
Nicholas R. Waytowich, Dean J. Krusienski
Development of an extensible SSVEP-BCI software platform and application to wheelchair control. NER (2017)
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) (2017)
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) (2017)
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) (2016)
Dan Wang, Dean J. Krusienski, Zhili Hao
A Flexible PET-based Wearable Sensor for Arterial Pulse Waveform Measurement. BIODEVICES (2016)
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)
Sara L. MacDonald, Dean J. Krusienski, Dimitrie C. Popescu
Cyclostationary-based detection of steady-state visually evoked potential signals recorded from EEG. ICASSP (2016)
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)
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)
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)
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)
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)
Nicholas R. Anderson, T. 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)
Yu-Fei Shen, Dean J. Krusienski, Jiang Li, Zia-ur Rahman
A Hierarchical Horizon Detection Algorithm. IEEE Geosci. Remote. Sens. Lett. 10 (1) (2013)
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) (2013)
Dean J. Krusienski, Jerry J. Shih
Spectral components of the P300 speller response in and adjacent to the hippocampus. SMC (2012)
Garett D. Johnson, Nicholas R. Waytowich, Dean J. Krusienski
The Challenges of Using Scalp-EEG Input Signals for Continuous Device Control. HCI (20) (2011)
Yu-Fei Shen, Zia-ur Rahman, Dean J. Krusienski, Jiang Li
Automatic detection of aircraft emergency landing sites. Visual Information Processing (2011)
Garett D. Johnson, Dean J. Krusienski
Ensemble SWLDA Classifiers for the P300 Speller. HCI (2) (2009)
Dean J. Krusienski
A Method for Visualizing Independent Spatio-Temporal Patterns of Brain Activity. EURASIP J. Adv. Signal Process. 2009 (2009)
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) (2009)
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) (2007)
Dean J. Krusienski, Dennis J. McFarland, Jonathan R. Wolpaw
An Evaluation of Autoregressive Spectral Estimation Model Order for Brain-Computer Interface Applications. EMBC (2006)
Dean J. Krusienski, W. Kenneth Jenkins
A modified particle swarm optimization algorithm for adaptive filtering. ISCAS (2006)
Siddharth Pal, Dean J. Krusienski, W. Kenneth Jenkins
Structured stochastic optimization strategies for problems with ill-conditioned error surfaces. ISCAS (3) (2005)
Dean J. Krusienski, William Kenneth Jenkins
Nonparametric density estimation based independent component analysis via particle swarm optimization. ICASSP (4) (2005)
Dean J. Krusienski, W. Kenneth Jenkins
The application of particle swarm optimization to adaptive IIR phase equalization. ICASSP (2) (2004)
Dean J. Krusienski, W. Kenneth Jenkins
Particle swarm optimization for adaptive IIR filter structures. IEEE Congress on Evolutionary Computation (2004)