Publications

2022

Pupil-linked phasic arousal relates to the reduction of response inhibition: inferences from a simultaneous pupillometry and EEG-fMRI study

Linbi Hong

Hengda He

Paul Sajda

Predictive Power of Pupil Dynamics in a Team Based Virtual Reality Task

Yinuo Qin

Weijia Zhang

Richard Lee

Xiaoxiao Sun

Paul Sajda

Daily prefrontal closed-loop repetitive transcranial magnetic stimulation (rTMS) produces progressive EEG quasi-alpha phase entrainment in depressed adults

Josef Faller

Jayce Doose

Xiaoxiao Sun

James R. Mclntosh

Golbarg T. Saber

Yida Lin

Joshua B. Teves

Aidan Blankenship

Sarah Huffman

Robin I. Goldman

Mark S. George

Truman R. Brown

Paul Sajda

A multimodal deep learning system to distinguish late stages of AMD and to compare expert vs. AI ocular biomarkers

Kaveri A. Thakoor

Jiaang Yao

Darius Bordbar

Omar Moussa

Weijie Lin

Paul Sajda

Royce W. S. Chen

Spatiotemporal dissociation of brain network connectivity in salience processing: A simultaneous pupillometry-EEG-fMRI study

Hengda He

Linbi Hong

Paul Sajda

Integrating neural and ocular attention reorienting signals in virtual reality

Pawan Lapborisuth

Sharath Koorathota

Qi Wang

Paul Sajda

2021

Improving Prediction of Cognitive Performance using Deep Neural Networks in Sparse Data

Sharath Koorathota

Arunesh Mittal

Richard P Sloan

Paul Sajda

Editing like Humans: A Contextual, Multimodal Framework for Automated Video Editing

Sharath Koorathota

Patrick Adelman

Kelly Cotton

Paul Sajda

Strategies to improve convolutional neural network generalizability and reference standards for glaucoma detection from OCT scans

Thakoor, K.

Li, X.

Tsamis, E.

Zemborain, Z.

C.G.

D. M.

Sajda, P.

Hood, D. C.

Inferring Macroscale Brain Dynamics via Fusion of Simultaneous EEG-fMRI

Marios G. Philiastides

Tao Tu

Paul Sajda

A recurrent neural network for attenuating non-cognitive components of pupil dynamics

Sharath Koorathota

Kaveri Thakoor

Linbi Hong

Yaoli Mao

Patrick Adelman

Paul Sajda

2020

Robust and interpretable convolutional neural networks to detect glaucoma in optical coherence tomography images

Kaveri A Thakoor

Sharath Koorathota

Donald C Hood

Paul Sajda

Latent neural source recovery via transcoding of simultaneous EEG-fMRI

Xueqing Liu

Linbi Hong

Paul Sajda

Ballistocardiogram Artifact Reduction in Simultaneous EEG-fMRI Using Deep Learning

James R. McIntosh

Jiaang Yao

Linbi Hong

Josef Faller

Paul Sajda

Sequence Models in Eye Tracking: Predicting Pupil Diameter During Learning

Sharath Koorathota

Kaveri Thakoor

Patrick Adelman

Yaoli Mao

Xueqing Liu

Paul Sajda

2019

Regulation of arousal via online neurofeedback improves human performance in a demanding sensory-motor task

Josef Faller

Jennifer Cummings

Sameer Saproo

Paul Sajda

2018

Compact convolutional neural networks for classification of asynchronous steady-state visual evoked potentials

Nicholas Waytowich

Vernon J Lawhern

Javier O Garcia

Jennifer Cummings

Josef Faller

Paul Sajda

Jean M Vettel

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2022

Pupil-linked phasic arousal relates to the reduction of response inhibition: inferences from a simultaneous pupillometry and EEG-fMRI study

Predictive Power of Pupil Dynamics in a Team Based Virtual Reality Task

Daily prefrontal closed-loop repetitive transcranial magnetic stimulation (rTMS) produces progressive EEG quasi-alpha phase entrainment in depressed adults

A multimodal deep learning system to distinguish late stages of AMD and to compare expert vs. AI ocular biomarkers

Spatiotemporal dissociation of brain network connectivity in salience processing: A simultaneous pupillometry-EEG-fMRI study

Integrating neural and ocular attention reorienting signals in virtual reality

2021

Improving Prediction of Cognitive Performance using Deep Neural Networks in Sparse Data

Editing like Humans: A Contextual, Multimodal Framework for Automated Video Editing

Strategies to improve convolutional neural network generalizability and reference standards for glaucoma detection from OCT scans

Inferring Macroscale Brain Dynamics via Fusion of Simultaneous EEG-fMRI

A recurrent neural network for attenuating non-cognitive components of pupil dynamics

2020

Robust and interpretable convolutional neural networks to detect glaucoma in optical coherence tomography images

Latent neural source recovery via transcoding of simultaneous EEG-fMRI

Ballistocardiogram Artifact Reduction in Simultaneous EEG-fMRI Using Deep Learning

Sequence Models in Eye Tracking: Predicting Pupil Diameter During Learning

2019

Regulation of arousal via online neurofeedback improves human performance in a demanding sensory-motor task

2018

Compact convolutional neural networks for classification of asynchronous steady-state visual evoked potentials

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