Paul Sajda

Orcid: 0000-0002-9738-1342

According to our database1, Paul Sajda authored at least 120 papers between 1992 and 2024.

Collaborative distances:

Awards

IEEE Fellow

IEEE Fellow 2012, "For development of brain-machine interfaces for image and media search".

Timeline

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Bibliography

2024
PhysioLabXR: A Python Platform for Real-Time, Multi-modal, Brain-Computer Interfaces and Extended Reality Experiments.
J. Open Source Softw., February, 2024

2023
Pupillary response is associated with the reset and switching of functional brain networks during salience processing.
PLoS Comput. Biol., 2023

Circular Clustering with Polar Coordinate Reconstruction.
CoRR, 2023

Fixating on Attention: Integrating Human Eye Tracking into Vision Transformers.
CoRR, 2023

Bayesian Beta-Bernoulli Process Sparse Coding with Deep Neural Networks.
CoRR, 2023

Neurophysiological Predictors of Self-Reported Difficulty in a Virtual-Reality Driving Scenario.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

Roe: A Computational-Efficient Anti-hallucination Fine-Tuning Technology for Large Language Model Inspired by Human Learning Process.
Proceedings of the Brain Informatics - 16th International Conference, 2023

Latent Neural Source Recovery via Transcoding of Simultaneous EEG-fMRI.
Proceedings of the Brain Informatics - 16th International Conference, 2023

Unsupervised Sparse-View Backprojection via Convolutional and Spatial Transformer Networks.
Proceedings of the Brain Informatics - 16th International Conference, 2023

Fusing Simultaneously Acquired EEG and fMRI via Hierarchical Deep Transcoding.
Proceedings of the Brain Informatics - 16th International Conference, 2023

Reciprocal Dyadic Affective Interaction: from Facial Expressions to Brain Networks.
Proceedings of the 11th International Conference on Affective Computing and Intelligent Interaction, ACII 2023, 2023

Capturing Interactions between Arousal and Cortical Dynamics with Simultaneous Pupillometry and EEG-fMRI.
Proceedings of the 11th International Conference on Affective Computing and Intelligent Interaction, ACII 2023, 2023

2022
Robust and Interpretable Convolutional Neural Networks to Detect Glaucoma in Optical Coherence Tomography Images.
Dataset, May, 2022

Inferring latent neural sources via deep transcoding of simultaneously acquired EEG and fMRI.
CoRR, 2022

Predictive Power of Pupil Dynamics in a Team Based Virtual Reality Task.
Proceedings of the 2022 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, 2022

Enhancing Portable OCT Image Quality via GANs for AI-Based Eye Disease Detection.
Proceedings of the Distributed, Collaborative, and Federated Learning, and Affordable AI and Healthcare for Resource Diverse Global Health, 2022

Deep Metric Representation Learning for Clinical Resting State fMRI.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

Multimodal Neurophysiological Transformer for Emotion Recognition.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

2021
Robust and Interpretable Convolutional Neural Networks to Detect Glaucoma in Optical Coherence Tomography Images.
IEEE Trans. Biomed. Eng., 2021

Ballistocardiogram Artifact Reduction in Simultaneous EEG-fMRI Using Deep Learning.
IEEE Trans. Biomed. Eng., 2021

Spatiospectral brain networks reflective of improvisational experience.
NeuroImage, 2021

Scale-specific dynamics of high-amplitude bursts in EEG capture behaviorally meaningful variability.
NeuroImage, 2021

Improving Prediction of Cognitive Performance using Deep Neural Networks in Sparse Data.
CoRR, 2021

Hybrid 3d-2d Deep Learning For Detection Of Neovascularage-Related Macular Degeneration Using Optical Coherence Tomography B-Scans And Angiography Volumes.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

Editing Like Humans: A Contextual, Multimodal Framework for Automated Video Editing.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020
Bayesian recurrent state space model for rs-fMRI.
CoRR, 2020

Deep Bayesian Nonparametric Factor Analysis.
CoRR, 2020

Latent neural source recovery via transcoding of simultaneous EEG-fMRI.
CoRR, 2020

Accelerated Robot Learning via Human Brain Signals.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Sequence Models in Eye Tracking: Predicting Pupil Diameter During Learning.
Proceedings of the ETRA '20 Adjunct: 2020 Symposium on Eye Tracking Research and Applications, 2020

2019
Regulation of arousal via online neurofeedback improves human performance in a demanding sensory-motor task.
Dataset, March, 2019

A state-space model for inferring effective connectivity of latent neural dynamics from simultaneous EEG/fMRI.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

A Convolutional Neural Network for Transcoding Simultaneously Acquired EEG-fMRI Data.
Proceedings of the 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER), 2019

An EEG-fMRI-TMS instrument to investigate BOLD response to EEG guided stimulation.
Proceedings of the 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER), 2019

Simultaneous EEG-fMRI Study Reveals Separate Bias Mechanisms Modulated by Stimulus Evidence During Rapid Face Processing.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

Enhancing the Accuracy of Glaucoma Detection from OCT Probability Maps using Convolutional Neural Networks.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

Investigating Evoked EEG Responses to Targets Presented in Virtual Reality.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

2018
A multimodal encoding model applied to imaging decision-related neural cascades in the human brain.
NeuroImage, 2018

Extracting multidimensional stimulus-response correlations using hybrid encoding-decoding of neural activity.
NeuroImage, 2018

Correlation of neural activity with behavioral kinematics reveals distinct sensory encoding and evidence accumulation processes during active tactile sensing.
NeuroImage, 2018

Compact Convolutional Neural Networks for Classification of Asynchronous Steady-state Visual Evoked Potentials.
CoRR, 2018

Correlations of Neural Activity with Behavioral Kinematics during Active Tactile Decision Making.
Proceedings of the 10th Hellenic Conference on Artificial Intelligence, 2018

Relating Deep Neural Network Representations to EEG-fMRI Spatiotemporal Dynamics in a Perceptual Decision-Making Task.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

EEG-based Endogenous Online Co-Adaptive Brain-Computer Interfaces: Strategy for Success?
Proceedings of the 2018 10th Computer Science and Electronic Engineering Conference, 2018

2017
Fusing Multiple Neuroimaging Modalities to Assess Group Differences in Perception-Action Coupling.
Proc. IEEE, 2017

Advanced Technologies for Brain Research [Scanning the Issue].
Proc. IEEE, 2017

Towards personalized human AI interaction - adapting the behavior of AI agents using neural signatures of subjective interest.
CoRR, 2017

SigViewer: Visualizing Multimodal Signals Stored in XDF (Extensible Data Format) Files.
CoRR, 2017

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

Keynotes.
Proceedings of the IEEE International Conference on Consumer Electronics, 2017

Deep Reinforcement Learning Using Neurophysiological Signatures of Interest.
Proceedings of the Companion of the 2017 ACM/IEEE International Conference on Human-Robot Interaction, 2017

Sigviewer - current Status and Recent Developments.
Proceedings of the From Vision to Reality, 2017

2016
Cortically Coupled Computing: A New Paradigm for Synergistic Human-Machine Interaction.
Computer, 2016

Unsupervised adaptive transfer learning for Steady-State Visual Evoked Potential brain-computer interfaces.
Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016

Predicting decision accuracy and certainty in complex brain-machine interactions.
Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016

Closed-loop regulation of user state during a boundary avoidance task.
Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016

2015
Prestimulus EEG alpha oscillations modulate task-related fMRI BOLD responses to auditory stimuli.
NeuroImage, 2015

Pre-stimulus functional networks modulate task performance in time-pressured evidence gathering and decision-making.
NeuroImage, 2015

Knowing when not to swing: EEG evidence that enhanced perception-action coupling underlies baseball batter expertise.
NeuroImage, 2015

2014
Simultaneous EEG-fMRI reveals a temporal cascade of task-related and default-mode activations during a simple target detection task.
NeuroImage, 2014

Prestimulus alpha power predicts fidelity of sensory encoding in perceptual decision making.
NeuroImage, 2014

Evoked Neural Responses to Events in Video.
IEEE J. Sel. Top. Signal Process., 2014

Correlating Speaker Gestures in Political Debates with Audience Engagement Measured via EEG.
Proceedings of the ACM International Conference on Multimedia, MM '14, Orlando, FL, USA, November 03, 2014

Neural Correlates of Spatiotemporal Event Recognition: Application to Brain-Computer Interfaces for Video Exploitation.
Proceedings of the 1st International Workshop on Perception Inspired Video Processing, 2014

2013
Grand Challenges in Mapping the Human Brain: NSF Workshop Report.
IEEE Trans. Biomed. Eng., 2013

Prospective active marker motion correction improves statistical power in BOLD fMRI.
NeuroImage, 2013

Fast Simultaneous Training of Generalized Linear Models (FaSTGLZ).
CoRR, 2013

Feature selection for gaze, pupillary, and EEG signals evoked in a 3D environment.
Proceedings of the 6th workshop on Eye gaze in intelligent human machine interaction: gaze in multimodal interaction, 2013

2012
Fast, Exact Model Selection and Permutation Testing for l2-Regularized Logistic Regression.
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

Where Is the User in Multimedia Retrieval?
IEEE Multim., 2012

2011
Guest Editorial Special Issue on Brain-Machine Interface.
IEEE J. Emerg. Sel. Topics Circuits Syst., 2011

2010
Cortically-Coupled Computer Vision.
Proceedings of the Brain-Computer Interfaces, 2010

In a Blink of an Eye and a Switch of a Transistor: Cortically Coupled Computer Vision.
Proc. IEEE, 2010

A Fast Hybrid Algorithm for Large-Scale <i>l<sub>1</sub></i>-Regularized Logistic Regression.
J. Mach. Learn. Res., 2010

Maximum Likelihood in Cost-Sensitive Learning: Model Specification, Approximations, and Upper Bounds.
J. Mach. Learn. Res., 2010

Second-Order Bilinear Discriminant Analysis.
J. Mach. Learn. Res., 2010

2009
Removal of BCG Artifacts Using a Non-Kirchhoffian Overcomplete Representation.
IEEE Trans. Biomed. Eng., 2009

Single-trial discrimination for integrating simultaneous EEG and fMRI: Identifying cortical areas contributing to trial-to-trial variability in the auditory oddball task.
NeuroImage, 2009

Brain state decoding for rapid image retrieval.
Proceedings of the 17th International Conference on Multimedia 2009, 2009

2008
Brain-Computer Interfaces [from the guest editors].
IEEE Signal Process. Mag., 2008

Spatiotemporal Linear Decoding of Brain State.
IEEE Signal Process. Mag., 2008

2007
Second Order Bilinear Discriminant Analysis for single trial EEG analysis.
Proceedings of the Advances in Neural Information Processing Systems 20, 2007

2006
Varying complexity in tree-structured image distribution models.
IEEE Trans. Image Process., 2006

Causal Influences in the Human Brain During Face Discrimination: A Short-Window Directed Transfer Function Approach.
IEEE Trans. Biomed. Eng., 2006

<i>HiRes</i> - a tool for comprehensive assessment and interpretation of metabolomic data.
Bioinform., 2006

Classifying Single-Trial ERPs from Visual and Frontal Cortex during Free Viewing.
Proceedings of the International Joint Conference on Neural Networks, 2006

Analysis of a Gain Control Model of V1: Is the Goal Redundancy Reduction?
Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006

Using Single-Trial EEG to Estimate the Timing of Target Onset During Rapid Serial Visual Presentation.
Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006

Electrooculogram based system for computer control using a multiple feature classification model.
Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006

2005
Recipes for the linear analysis of EEG.
NeuroImage, 2005

Cortical origins of response time variability during rapid discrimination of visual objects.
NeuroImage, 2005

Guest editorial: Special issue on blind source separation and de-convolution in imaging and image processing.
Int. J. Imaging Syst. Technol., 2005

Neural mechanisms of contrast dependent receptive field size in V1.
Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

2004
Nonnegative matrix factorization for rapid recovery of constituent spectra in magnetic resonance chemical shift imaging of the brain.
IEEE Trans. Medical Imaging, 2004

Integration of form and motion within a generative model of visual cortex.
Neural Networks, 2004

Blind recovery of biochemical markers of brain cancer in MRSI.
Proceedings of the Medical Imaging 2004: Image Processing, 2004

Comparison of Supervised And Unsupervised Linear Methods for Recovering Task-Relevant Activity In EEG.
Proceedings of the 2004 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2004

Multi-Resolution Hierarchical Blind Recovery of Biochemical Markers of Brain Cancer In MRSI.
Proceedings of the 2004 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2004

2003
A multi-scale probabilistic network model for detection, synthesis and compression in mammographic image analysis.
Medical Image Anal., 2003

Blind Source Separation via Generalized Eigenvalue Decomposition.
J. Mach. Learn. Res., 2003

Single-trial detection in EEG and MEG: Keeping it linear.
Neurocomputing, 2003

2002
Learning contextual relationships in mammograms using a pyramid neural network.
IEEE Trans. Medical Imaging, 2002

Linear Spatial Integration for Single-Trial Detection in Encephalography.
NeuroImage, 2002

Capturing contextual dependencies in medical imagery using hierarchical multi-scale models.
Proceedings of the 2002 IEEE International Symposium on Biomedical Imaging, 2002

2000
Higher-Order Statistical Properties Arising from the Non-Stationarity of Natural Signals.
Proceedings of the Advances in Neural Information Processing Systems 13, 2000

Mammographic mass detection with a hierarchical image probability (HIP) model.
Proceedings of the Medical Imaging 2000: Image Processing, 2000

Hierarchical Image Probability (HIP) Models.
Proceedings of the 2000 International Conference on Image Processing, 2000

Hierarchical, Multi-resolution Models for Object Recognition: Applications to Mammographic Computer-aided Diagnosis.
Proceedings of the 29th Applied Image Pattern Recognition Workshop (AIPR 2000), 2000

1999
Unmixing Hyperspectral Data.
Proceedings of the Advances in Neural Information Processing Systems 12, [NIPS Conference, Denver, Colorado, USA, November 29, 1999

1998
Applications of Multi-Resolution Neural Networks to Mammography.
Proceedings of the Advances in Neural Information Processing Systems 11, [NIPS Conference, Denver, Colorado, USA, November 30, 1998

Role of feature selection in building pattern recognizers for computer-aided diagnosis.
Proceedings of the Medical Imaging 1998: Image Processing, 1998

1997
Coarse-grain parallel computing for very large scale neural simulations in the NEXUS simulation environment.
Comput. Biol. Medicine, 1997

1996
Exploiting context in mammograms: a hierarchical neural network for detecting microcalcifications.
Proceedings of the Medical Imaging 1996: Image Processing, 1996

1995
Integrating neural networks with image pyramids to learn target context.
Neural Networks, 1995

A hierarchical neural network architecture that learns target context: applications to digital mammography.
Proceedings of the Proceedings 1995 International Conference on Image Processing, 1995

1993
Dual Mechanisms for Neural Binding and Segmentation.
Proceedings of the Advances in Neural Information Processing Systems 6, 1993

1992
NEXUS: A simulation environment for large-scale neural systems.
Simul., 1992

Simulating biological vision with hybrid neural networks.
Simul., 1992

Object Discrimination Based on Depth-from-Occlusion.
Neural Comput., 1992

Object segmentation and binding within a biologically-based neural network model of depth-from-occlusion.
Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 1992


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