Dean Krusienski

Dean Krusienski

Virginia Commonwealth University

H-index: 37

North America-United States

About Dean Krusienski

Dean Krusienski, With an exceptional h-index of 37 and a recent h-index of 29 (since 2020), a distinguished researcher at Virginia Commonwealth University, specializes in the field of Signal Processing, Machine Learning, Brain-Computer Interfaces, Brain-Computer Interface, Neural Engineering.

His recent articles reflect a diverse array of research interests and contributions to the field:

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

Modeling human temporal EEG responses to VR visual stimuli

Towards hippocampal navigation for brain–computer interfaces

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

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

Modeling of Perceived Musical Rhythms Using Electrocorticography

Workshops of the eighth international brain–computer interface meeting: BCIs: the next frontier

Contributions of stereotactic EEG electrodes in grey and white matter to speech activity detection

Dean Krusienski Information

University

Position

Professor of Biomedical Engineering

Citations(all)

11139

Citations(since 2020)

3988

Cited By

8566

hIndex(all)

37

hIndex(since 2020)

29

i10Index(all)

73

i10Index(since 2020)

54

Email

University Profile Page

Virginia Commonwealth University

Google Scholar

View Google Scholar Profile

Dean Krusienski Skills & Research Interests

Signal Processing

Machine Learning

Brain-Computer Interfaces

Brain-Computer Interface

Neural Engineering

Top articles of Dean Krusienski

Title

Journal

Author(s)

Publication Date

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

Computers in Biology and Medicine

J McLinden

N Rahimi

C Kumar

DJ Krusienski

M Shao

...

2024/2/1

Modeling human temporal EEG responses to VR visual stimuli

Richard R Foster

Connor Delaney

Dean J Krusienski

Cheng Ly

2024

Towards hippocampal navigation for brain–computer interfaces

Scientific Reports

Jeremy Saal

Maarten Christiaan Ottenhoff

Pieter L Kubben

Albert J Colon

Sophocles Goulis

...

2023/8/28

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

Pedram Zanganeh Soroush

SY Cole

Christian Herff

Stephanie K Riès

Jerry J Shih

...

2023/4/24

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

NeuroImage

Pedram Z Soroush

Christian Herff

Stephanie K Ries

Jerry J Shih

Tanja Schultz

...

2023/4/1

Modeling of Perceived Musical Rhythms Using Electrocorticography

Michael Dexheimer

Garett D Johnson

Jerry J Shih

Christian Herff

Dean J Krusienski

2023/10/1

Workshops of the eighth international brain–computer interface meeting: BCIs: the next frontier

Brain-Computer Interfaces

Jane E Huggins

Dean Krusienski

Mariska J Vansteensel

Davide Valeriani

Antonia Thelen

...

2022/4/3

Contributions of stereotactic EEG electrodes in grey and white matter to speech activity detection

Pedram Zanganeh Soroush

Christian Herff

S Ries

Jerry J Shih

Tanja Schultz

...

2022/7/11

Estimation of affective states in virtual reality environments using EEG

Meghan Kumar

Connor Delaney

Dean Krusienski

2022/6/29

Noninvasive brain-computer interfaces

Brendan Z Allison

Dean Krusienski

2022/6/12

Towards closed-loop speech synthesis from stereotactic eeg: a unit selection approach

Miguel Angrick

Maarten Ottenhoff

Lorenz Diener

Darius Ivucic

Gabriel Ivucic

...

2022/5/23

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

IEEE Access

Srdjan Lesaja

Morgan Stuart

Jerry J Shih

Pedram Z Soroush

Tanja Schultz

...

2022/12/19

The 8th international brain-computer interface meeting, BCIs: the next frontier

Jennifer L Collinger

Dean J Krusienski

2022/4/3

An interpretable deep learning model for speech activity detection using electrocorticographic signals

IEEE Transactions on Neural Systems and Rehabilitation Engineering

Morgan Stuart

Srdjan Lesaja

Jerry J Shih

Tanja Schultz

Milos Manic

...

2022/9/19

Brain-controlled Assistive Robotics and Prosthetics

Kavya Puthuveetil

Dean J Krusienski

2021

Speech synthesis from stereotactic EEG using an electrode shaft dependent multi-input convolutional neural network approach

Miguel Angrick

Maarten Ottenhoff

Sophocles Goulis

Albert J Colon

Louis Wagner

...

2021/11/1

Speech activity detection from stereotactic EEG

Pedram Zanganeh Soroush

Miguel Angrick

J Shih

Tanja Schultz

Dean J Krusienski

2021/10/17

Characterization of affective states in virtual reality environments using EEG

Meghan Kumar

Connor Delaney

Pedram Zanganeh Soroush

Yusuke Yamani

Dean J Krusienski

2021/10/17

Real-time synthesis of imagined speech processes from minimally invasive recordings of neural activity

Communications biology

Miguel Angrick

Maarten C Ottenhoff

Lorenz Diener

Darius Ivucic

Gabriel Ivucic

...

2021/9/23

Towards Speech Synthesis from Intracranial Signals

Brain–Computer Interface Research: A State-of-the-Art Summary 8

Christian Herff

Lorenz Diener

Emily Mugler

Marc Slutzky

Dean Krusienski

...

2020

See List of Professors in Dean Krusienski University(Virginia Commonwealth University)

Co-Authors

H-index: 169
Niels Birbaumer

Niels Birbaumer

Eberhard Karls Universität Tübingen

H-index: 156
Klaus-Robert Müller

Klaus-Robert Müller

Technische Universität Berlin

H-index: 134
Gert Pfurtscheller

Gert Pfurtscheller

Technische Universität Graz

H-index: 95
Andrea Kübler

Andrea Kübler

Julius-Maximilians-Universität Würzburg

H-index: 78
Benjamin Blankertz

Benjamin Blankertz

Technische Universität Berlin

H-index: 67
Tanja Schultz

Tanja Schultz

Universität Bremen

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