An interaction-centric approach for quantifying eye-to-eye reciprocal interaction - Ray Lee; Paul Sajda; Nim Tottenham (NeuroImage, 2025)

Using Eye Tracking and AI-Powered Experimental Design to Create Patient-Centric Clinical Studies - Linbi Hong; Corbin Ping; Diego E. Arias; Nikolas Papadopoulos; Victoria Liu; Paul Sajda; Christopher Sege; Lisa M. McTeague (Proceedings of the 2025 Symposium on Eye Tracking Research and Applications, ETRA 2025, Tokyo, Japan, May 26-29, 2025, 2025)

Physiologically-Informed Predictability of a Teammate's Future Actions Forecasts Team Performance - Yinuo Qin; Richard T. Lee; Weijia Zhang; Xiaoxiao Sun; Paul Sajda (CoRR, 2025)

Perception of an AI Teammate in an Embodied Control Task Affects Team Performance, Reflected in Human Teammates' Behaviors and Physiological Responses - Yinuo Qin; Richard T. Lee; Paul Sajda (CoRR, 2025)

Brain2Model Transfer: Training sensory and decision models with human neural activity as a teacher - Tomas Gallo Aquino; Victoria Liu; Habiba Azab; Raissa Mathura; Andrew J. Watrous; Eleonora Bartoli; Benjamin Y. Hayden; Paul Sajda; Sameer A. Sheth; Nuttida Rungratsameetaweemana (CoRR, 2025)

PhysioLabXR: A Python Platform for Real-Time, Multi-modal, Brain-Computer Interfaces and Extended Reality Experiments - Ziheng 'Leo' Li; Haowen 'John' Wei; Ziwen Xie; Yunxiang Peng; June Pyo Suh; Steven Feiner; Paul Sajda (J. Open Source Softw., 2024)

Circular Clustering With Polar Coordinate Reconstruction - Xiaoxiao Sun; Paul Sajda (IEEE ACM Trans. Comput. Biol. Bioinform., 2024)

Pupil-Linked Arousal is Predictive of Team Performance in a Virtual Reality (VR) Sensory-Motor Task - Yinuo Qin; Weijia Zhang; Richard Lee; Xiaoxiao Sun; Paul Sajda (46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2024, Orlando, FL, USA, July 15-19, 2024, 2024)

EEG-estimated functional connectivity, and not behavior, differentiates Parkinson's patients from health controls during the Simon conflict task - Xiaoxiao Sun; Chongkun Zhao; Sharath C. Koorathota; Paul Sajda (46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2024, Orlando, FL, USA, July 15-19, 2024, 2024)

Gaze-Informed Vision Transformers: Predicting Driving Decisions Under Uncertainty - Sharath C. Koorathota; Nikolas Papadopoulos; Jia Li Ma; Shruti Kumar; Xiaoxiao Sun; Arunesh Mittal; Patrick Adelman; Paul Sajda (Companion Proceedings of the 26th International Conference on Multimodal Interaction, ICMI Companion 2024, San Jose, Costa Rica, November 4-8, 2024, 2024)

PhysioLabXR: A Python Platform for Real-Time, Multi-modal, Brain-Computer Interfaces and Extended Reality Experiments (Version v1.1.1) - Ziheng 'Leo' Li; Haowen 'John' Wei; Ziwen Xie; Yunxiang Peng; June Pyo Suh; Steven Feiner; Paul Sajda (Zenodo, 2024)
Accessed on YYYY-MM-DD.

Enabling Multi-Robot Collaboration from Single-Human Guidance - Zhengran Ji; Lingyu Zhang; Paul Sajda; Boyuan Chen (CoRR, 2024)

EEG-estimated functional connectivity, and not behavior, differentiates Parkinson's patients from health controls during the Simon conflict task - Xiaoxiao Sun; Chongkun Zhao; Sharath C. Koorathota; Paul Sajda (CoRR, 2024)

Pupillary response is associated with the reset and switching of functional brain networks during salience processing - Hengda He; Linbi Hong; Paul Sajda (PLoS Comput. Biol., 2023)

Capturing Interactions between Arousal and Cortical Dynamics with Simultaneous Pupillometry and EEG-fMRI - Linbi Hong; Hengda He; Paul Sajda (11th International Conference on Affective Computing and Intelligent Interaction, ACII 2023 - Workshops and Demos, Cambridge, MA, USA, September 10-13, 2023, 2023)

Reciprocal Dyadic Affective Interaction: from Facial Expressions to Brain Networks - Ray Lee; Joshua Friedman; Paul Sajda; Nim Tottenham (11th International Conference on Affective Computing and Intelligent Interaction, ACII 2023 - Workshops and Demos, Cambridge, MA, USA, September 10-13, 2023, 2023)

Fusing Simultaneously Acquired EEG and fMRI via Hierarchical Deep Transcoding - Xueqing Liu; Paul Sajda (Brain Informatics - 16th International Conference, BI 2023, Hoboken, NJ, USA, August 1-3, 2023, Proceedings, 2023)

Unsupervised Sparse-View Backprojection via Convolutional and Spatial Transformer Networks - Xueqing Liu; Paul Sajda (Brain Informatics - 16th International Conference, BI 2023, Hoboken, NJ, USA, August 1-3, 2023, Proceedings, 2023)

Latent Neural Source Recovery via Transcoding of Simultaneous EEG-fMRI - Xueqing Liu; Paul Sajda (Brain Informatics - 16th International Conference, BI 2023, Hoboken, NJ, USA, August 1-3, 2023, Proceedings, 2023)

Roe: A Computational-Efficient Anti-hallucination Fine-Tuning Technology for Large Language Model Inspired by Human Learning Process - Xueqing Liu; Paul Sajda (Brain Informatics - 16th International Conference, BI 2023, Hoboken, NJ, USA, August 1-3, 2023, Proceedings, 2023)

Neurophysiological Predictors of Self-Reported Difficulty in a Virtual-Reality Driving Scenario - Jia Li Ma; Sharath C. Koorathota; Paul Sajda (45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, EMBC 2023, Sydney, Australia, July 24-27, 2023, 2023)

Bayesian Beta-Bernoulli Process Sparse Coding with Deep Neural Networks - Arunesh Mittal; Kai Yang; Paul Sajda; John Paisley (CoRR, 2023)

Fixating on Attention: Integrating Human Eye Tracking into Vision Transformers - Sharath C. Koorathota; Nikolas Papadopoulos; Jia Li Ma; Shruti Kumar; Xiaoxiao Sun; Arunesh Mittal; Patrick Adelman; Paul Sajda (CoRR, 2023)

Circular Clustering with Polar Coordinate Reconstruction - Xiaoxiao Sun; Paul Sajda (CoRR, 2023)

Deep Metric Representation Learning for Clinical Resting State fMRI - Arunesh Mittal; John Paisley; Paul Sajda (44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, EMBC 2022, Glasgow, Scotland, United Kingdom, July 11-15, 2022, 2022)

Multimodal Neurophysiological Transformer for Emotion Recognition - Sharath C. Koorathota; Zain Khan; Pawan Lapborisuth; Paul Sajda (44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, EMBC 2022, Glasgow, Scotland, United Kingdom, July 11-15, 2022, 2022)

Enhancing Portable OCT Image Quality via GANs for AI-Based Eye Disease Detection - Kaveri A. Thakoor; Ari Carter; Ge Song; Adam Wax; Omar Moussa; Royce W. S. Chen; Christine Hendon; Paul Sajda (Distributed, Collaborative, and Federated Learning, and Affordable AI and Healthcare for Resource Diverse Global Health - Third MICCAI Workshop, DeCaF 2022, and Second MICCAI Workshop, FAIR 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18 and 22, 2022, Proceedings, 2022)

Predictive Power of Pupil Dynamics in a Team Based Virtual Reality Task - Yinuo Qin; Weijia Zhang; Richard Lee; Xiaoxiao Sun; Paul Sajda (2022 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, VR Workshops, Christchurch, New Zealand, March 12-16, 2022, 2022)

Robust and Interpretable Convolutional Neural Networks to Detect Glaucoma in Optical Coherence Tomography Images - Kaveri A. Thakoor; Sharath C. Koorathota; Donald C. Hood; Paul Sajda (IEEE DataPort, 2022)
Accessed on YYYY-MM-DD.

Inferring latent neural sources via deep transcoding of simultaneously acquired EEG and fMRI - Xueqing Liu; Tao Tu; Paul Sajda (CoRR, 2022)

Scale-specific dynamics of high-amplitude bursts in EEG capture behaviorally meaningful variability - Kanika Bansal; Javier O. Garcia; Nina Lauharatanahirun; Sarah Feldt Muldoon; Paul Sajda; Jean M. Vettel (NeuroImage, 2021)

Spatiospectral brain networks reflective of improvisational experience - Josef Faller; Andrew Goldman; Yida Lin; James R. McIntosh; Paul Sajda (NeuroImage, 2021)

Ballistocardiogram Artifact Reduction in Simultaneous EEG-fMRI Using Deep Learning - James R. McIntosh; Jiaang Yao; Linbi Hong; Josef Faller; Paul Sajda (IEEE Trans. Biomed. Eng., 2021)

Robust and Interpretable Convolutional Neural Networks to Detect Glaucoma in Optical Coherence Tomography Images - Kaveri A. Thakoor; Sharath C. Koorathota; Donald C. Hood; Paul Sajda (IEEE Trans. Biomed. Eng., 2021)

Editing Like Humans: A Contextual, Multimodal Framework for Automated Video Editing - Sharath C. Koorathota; Patrick Adelman; Kelly Cotton; Paul Sajda (IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops 2021, virtual, June 19-25, 2021, 2021)

Hybrid 3d-2d Deep Learning For Detection Of Neovascularage-Related Macular Degeneration Using Optical Coherence Tomography B-Scans And Angiography Volumes - Kaveri A. Thakoor; Darius Bordbar; Jiaang Yao; Omar Moussa; Royce W. S. Chen; Paul Sajda (18th IEEE International Symposium on Biomedical Imaging, ISBI 2021, Nice, France, April 13-16, 2021, 2021)

Improving Prediction of Cognitive Performance using Deep Neural Networks in Sparse Data - Sharath C. Koorathota; Arunesh Mittal; Richard P. Sloan; Paul Sajda (CoRR, 2021)

Sequence Models in Eye Tracking: Predicting Pupil Diameter During Learning - Sharath C. Koorathota; Kaveri A. Thakoor; Patrick Adelman; Yaoli Mao; Xueqing Liu; Paul Sajda (ETRA '20 Adjunct: 2020 Symposium on Eye Tracking Research and Applications, Stuttgart, Germany, June 2-5, 2020, Adjunct Volume, 2020)

Accelerated Robot Learning via Human Brain Signals - Iretiayo Akinola; Zizhao Wang; Junyao Shi; Xiaomin He; Pawan Lapborisuth; Jingxi Xu; David Watkins-Valls; Paul Sajda; Peter K. Allen (2020 IEEE International Conference on Robotics and Automation, ICRA 2020, Paris, France, May 31 - August 31, 2020, 2020)

Unsupervised Sparse-view Backprojection via Convolutional and Spatial Transformer Networks - Xueqing Liu; Paul Sajda (CoRR, 2020)

Latent neural source recovery via transcoding of simultaneous EEG-fMRI - Xueqing Liu; Linbi Hong; Paul Sajda (CoRR, 2020)

Deep Bayesian Nonparametric Factor Analysis - Arunesh Mittal; Paul Sajda; John W. Paisley (CoRR, 2020)

Bayesian recurrent state space model for rs-fMRI - Arunesh Mittal; Scott W. Linderman; John W. Paisley; Paul Sajda (CoRR, 2020)

Simultaneous EEG-fMRI Study Reveals Separate Bias Mechanisms Modulated by Stimulus Evidence During Rapid Face Processing - Tao Tu; Paul Sajda (41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2019, Berlin, Germany, July 23-27, 2019, 2019)

Enhancing the Accuracy of Glaucoma Detection from OCT Probability Maps using Convolutional Neural Networks - Kaveri A. Thakoor; Xin-Hui Li; Emmanouil Tsamis; Paul Sajda; Donald C. Hood (41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2019, Berlin, Germany, July 23-27, 2019, 2019)

Investigating Evoked EEG Responses to Targets Presented in Virtual Reality - Pawan Lapborisuth; Josef Faller; Jonathan Koss; Nicholas R. Waytowich; Jonathan Touryan; Paul Sajda (41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2019, Berlin, Germany, July 23-27, 2019, 2019)

A Convolutional Neural Network for Transcoding Simultaneously Acquired EEG-fMRI Data - Xueqing Liu; Paul Sajda (2019 9th International IEEE/EMBS Conference on Neural Engineering (NER), San Francisco, CA, USA, March 20-23, 2019, 2019)

An EEG-fMRI-TMS instrument to investigate BOLD response to EEG guided stimulation - Josef Faller; Yida Lin; Jayce Doose; Golbarg T. Saber; James R. McIntosh; Joshua B. Teves; Robin I. Goldman; Mark S. George; Paul Sajda; Truman R. Brown (2019 9th International IEEE/EMBS Conference on Neural Engineering (NER), San Francisco, CA, USA, March 20-23, 2019, 2019)

A state-space model for inferring effective connectivity of latent neural dynamics from simultaneous EEG/fMRI - Tao Tu; John W. Paisley; Stefan Haufe; Paul Sajda (Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, NeurIPS 2019, December 8-14, 2019, Vancouver, BC, Canada, 2019)

Regulation of arousal via online neurofeedback improves human performance in a demanding sensory-motor task - Josef Faller; Jennifer Cummings; Sameer Saproo; Paul Sajda (IEEE DataPort, 2019)
Accessed on YYYY-MM-DD.

Accelerated Robot Learning via Human Brain Signals - Iretiayo Akinola; Zizhao Wang; Junyao Shi; Xiaomin He; Pawan Lapborisuth; Jingxi Xu; David Watkins-Valls; Paul Sajda; Peter K. Allen (CoRR, 2019)

Correlation of neural activity with behavioral kinematics reveals distinct sensory encoding and evidence accumulation processes during active tactile sensing - Ioannis Delis; Jacek P. Dmochowski; Paul Sajda; Qi Wang (NeuroImage, 2018)

Extracting multidimensional stimulus-response correlations using hybrid encoding-decoding of neural activity - Jacek P. Dmochowski; Jason J. Ki; Paul DeGuzman; Paul Sajda; Lucas C. Parra (NeuroImage, 2018)

A multimodal encoding model applied to imaging decision-related neural cascades in the human brain - Jordan Muraskin; Truman R. Brown; Jennifer M. Walz; Tao Tu; Bryan R. Conroy; Robin I. Goldman; Paul Sajda (NeuroImage, 2018)

EEG-based Endogenous Online Co-Adaptive Brain-Computer Interfaces: Strategy for Success? - Reinhold Scherer; Josef Faller; Paul Sajda; Carmen Vidaurre (2018 10th Computer Science and Electronic Engineering Conference, CEEC 2018, University of Essex, Colchester, UK, September 19-21, 2018, 2018)

Relating Deep Neural Network Representations to EEG-fMRI Spatiotemporal Dynamics in a Perceptual Decision-Making Task - Tao Tu; Jonathan Koss; Paul Sajda (2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops 2018, Salt Lake City, UT, USA, June 18-22, 2018, 2018)

Correlations of Neural Activity with Behavioral Kinematics during Active Tactile Decision Making - Ioannis Delis; Jacek P. Dmochowski; Paul Sajda; Qi Wang (Proceedings of the 10th Hellenic Conference on Artificial Intelligence, SETN 2018, Patras, Greece, July 09-12, 2018, 2018)

Compact Convolutional Neural Networks for Classification of Asynchronous Steady-state Visual Evoked Potentials - Nicholas R. Waytowich; Vernon Lawhern; Javier O. Garcia; Jennifer Cummings; Josef Faller; Paul Sajda; Jean M. Vettel (CoRR, 2018)

Advanced Technologies for Brain Research [Scanning the Issue] - Metin Akay; Paul Sajda; Silvestro Micera; Jose M. Carmena (Proc. IEEE, 2017)

Fusing Multiple Neuroimaging Modalities to Assess Group Differences in Perception-Action Coupling - Jordan Muraskin; Jason Sherwin; Gregory Lieberman; Javier O. Garcia; Timothy D. Verstynen; Jean M. Vettel; Paul Sajda (Proc. IEEE, 2017)

Sigviewer - current Status and Recent Developments - Clemens Brunner; Yida Lin; Paul Sajda; Josef Faller (From Vision to Reality - Proceedings of the 7th Graz Brain-Computer Interface Conference, GBCIC 2017, Graz, Steiermark, Austria, September 18-22, 2017, 2017)

Deep Reinforcement Learning Using Neurophysiological Signatures of Interest - Victor Shih; David C. Jangraw; Sameer Saproo; Paul Sajda (Companion of the 2017 ACM/IEEE International Conference on Human-Robot Interaction, HRI 2017, Vienna, Austria, March 6-9, 2017, 2017)

Keynotes - Paul Sajda (IEEE International Conference on Consumer Electronics, ICCE 2017, Las Vegas, NV, USA, January 8-10, 2017, 2017)

Welcome message - Shanbao Tong; José C. Príncipe; Lei Ding; Paul Sajda (8th International IEEE/EMBS Conference on Neural Engineering, NER 2017, Shanghai, China, May 25-28, 2017, 2017)

SigViewer: Visualizing Multimodal Signals Stored in XDF (Extensible Data Format) Files - Yida Lin; Clemens Brunner; Paul Sajda; Josef Faller (CoRR, 2017)

Towards personalized human AI interaction - adapting the behavior of AI agents using neural signatures of subjective interest - Victor Shih; David C. Jangraw; Paul Sajda; Sameer Saproo (CoRR, 2017)

Cortically Coupled Computing: A New Paradigm for Synergistic Human-Machine Interaction - Sameer Saproo; Josef Faller; Victor Shih; Paul Sajda; Nicholas R. Waytowich; Addison W. Bohannon; Vernon J. Lawhern; Brent J. Lance; David C. Jangraw (Computer, 2016)

Predicting decision accuracy and certainty in complex brain-machine interactions - Victor Shih; Ludan Zhang; Christian Kothe; Scott Makeig; Paul Sajda (2016 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2016, Budapest, Hungary, October 9-12, 2016, 2016)

Unsupervised adaptive transfer learning for Steady-State Visual Evoked Potential brain-computer interfaces - Nicholas R. Waytowich; Josef Faller; Javier O. Garcia; Jean M. Vettel; Paul Sajda (2016 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2016, Budapest, Hungary, October 9-12, 2016, 2016)

Closed-loop regulation of user state during a boundary avoidance task - Josef Faller; Sameer Saproo; Victor Shih; Paul Sajda (2016 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2016, Budapest, Hungary, October 9-12, 2016, 2016)

Pre-stimulus functional networks modulate task performance in time-pressured evidence gathering and decision-making - Jason Samuel Sherwin; Jordan Muraskin; Paul Sajda (NeuroImage, 2015)

Prestimulus EEG alpha oscillations modulate task-related fMRI BOLD responses to auditory stimuli - Jennifer M. Walz; Robin I. Goldman; Michael Carapezza; Jordan Muraskin; Truman R. Brown; Paul Sajda (NeuroImage, 2015)

Knowing when not to swing: EEG evidence that enhanced perception-action coupling underlies baseball batter expertise - Jordan Muraskin; Jason Sherwin; Paul Sajda (NeuroImage, 2015)

Evoked Neural Responses to Events in Video - Daniel Rosenthal; Paul DeGuzman; Lucas C. Parra; Paul Sajda (IEEE J. Sel. Top. Signal Process., 2014)

Prestimulus alpha power predicts fidelity of sensory encoding in perceptual decision making - Bin Lou; Yun Li; Marios G. Philiastides; Paul Sajda (NeuroImage, 2014)

Simultaneous EEG-fMRI reveals a temporal cascade of task-related and default-mode activations during a simple target detection task - Jennifer M. Walz; Robin I. Goldman; Michael Carapezza; Jordan Muraskin; Truman R. Brown; Paul Sajda (NeuroImage, 2014)

Neural Correlates of Spatiotemporal Event Recognition: Application to Brain-Computer Interfaces for Video Exploitation - Paul Sajda (Proceedings of the 1st International Workshop on Perception Inspired Video Processing, PIVP '14, Orlando, Florida, USA, November 7, 2014, 2014)

Correlating Speaker Gestures in Political Debates with Audience Engagement Measured via EEG - John R. Zhang; Jason Sherwin; Jacek Dmochowski; Paul Sajda; John R. Kender (Proceedings of the ACM International Conference on Multimedia, MM '14, Orlando, FL, USA, November 03 - 07, 2014, 2014)

Prospective active marker motion correction improves statistical power in BOLD fMRI - Jordan Muraskin; Melvyn B. Ooi; Robin Goldman; Sascha Krueger; William J. Thomas; Paul Sajda; Truman R. Brown (NeuroImage, 2013)

Grand Challenges in Mapping the Human Brain: NSF Workshop Report - Bin He; Todd P. Coleman; Guy M. Genin; Gary Glover; Xiaoping Hu; Nessa Johnson; Tianming Liu; Scott Makeig; Paul Sajda; Kaiming Ye (IEEE Trans. Biomed. Eng., 2013)

Feature selection for gaze, pupillary, and EEG signals evoked in a 3D environment - David C. Jangraw; Paul Sajda (Proceedings of the 6th workshop on Eye gaze in intelligent human machine interaction: gaze in multimodal interaction, GazeIn@ICMI 2013, Sydney, Australia, December 13, 2013, 2013)

Fast Simultaneous Training of Generalized Linear Models (FaSTGLZ) - Bryan R. Conroy; Jennifer M. Walz; Brian Cheung; Paul Sajda (CoRR, 2013)

Where Is the User in Multimedia Retrieval? - Marcel Worring; Paul Sajda; Simone Santini; David A. Shamma; Alan F. Smeaton; Qiang Yang (IEEE Multim., 2012)

Fast, Exact Model Selection and Permutation Testing for l2-Regularized Logistic Regression - Bryan R. Conroy; Paul Sajda (Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, AISTATS 2012, La Palma, Canary Islands, Spain, April 21-23, 2012, 2012)

Guest Editorial Special Issue on Brain-Machine Interface - Mohamad Sawan; Pedram Mohseni; Paul Sajda; Justin C. Sanchez (IEEE J. Emerg. Sel. Topics Circuits Syst., 2011)

Second-Order Bilinear Discriminant Analysis - Christoforos Christoforou; Robert M. Haralick; Paul Sajda; Lucas C. Parra (J. Mach. Learn. Res., 2010)

A Fast Hybrid Algorithm for Large-Scale l\(_1\)-Regularized Logistic Regression - Jianing Shi; Wotao Yin; Stanley J. Osher; Paul Sajda (J. Mach. Learn. Res., 2010)

Maximum Likelihood in Cost-Sensitive Learning: Model Specification, Approximations, and Upper Bounds - Jacek P. Dmochowski; Paul Sajda; Lucas C. Parra (J. Mach. Learn. Res., 2010)

In a Blink of an Eye and a Switch of a Transistor: Cortically Coupled Computer Vision - Paul Sajda; Eric Pohlmeyer; Jun Wang; Lucas C. Parra; Christoforos Christoforou; Jacek Dmochowski; Barbara Hanna; Claus Bahlmann; Maneesh Kumar Singh; Shih-Fu Chang (Proc. IEEE, 2010)

Cortically-Coupled Computer Vision - Paul Sajda; Eric Pohlmeyer; Jun Wang; Barbara Hanna; Lucas C. Parra; Shih-Fu Chang (Brain-Computer Interfaces - Applying our Minds to Human-Computer Interaction, 2010)

Single-trial discrimination for integrating simultaneous EEG and fMRI: Identifying cortical areas contributing to trial-to-trial variability in the auditory oddball task - Robin Goldman; Cheng-Yu Wei; Marios G. Philiastides; Adam D. Gerson; David Friedman; Truman R. Brown; Paul Sajda (NeuroImage, 2009)

Removal of BCG Artifacts Using a Non-Kirchhoffian Overcomplete Representation - Mads Dyrholm; Robin Goldman; Paul Sajda; Truman R. Brown (IEEE Trans. Biomed. Eng., 2009)

Brain state decoding for rapid image retrieval - Jun Wang; Eric Pohlmeyer; Barbara Hanna; Yu-Gang Jiang; Paul Sajda; Shih-Fu Chang (Proceedings of the 17th International Conference on Multimedia 2009, Vancouver, British Columbia, Canada, October 19-24, 2009, 2009)

Brain-Computer Interfaces [from the guest editors] - Paul Sajda; Klaus-Robert Müller; Krishna V. Shenoy (IEEE Signal Process. Mag., 2008)

Spatiotemporal Linear Decoding of Brain State - Lucas C. Parra; Christoforos Christoforou; Adam C. Gerson; Mads Dyrholm; An Luo; Mark Wagner; Marios G. Philiastides; Paul Sajda (IEEE Signal Process. Mag., 2008)

Second Order Bilinear Discriminant Analysis for single trial EEG analysis - Christoforos Christoforou; Paul Sajda; Lucas C. Parra (Advances in Neural Information Processing Systems 20, Proceedings of the Twenty-First Annual Conference on Neural Information Processing Systems, Vancouver, British Columbia, Canada, December 3-6, 2007, 2007)

HiRes - a tool for comprehensive assessment and interpretation of metabolomic data - Qi Zhao; Radka Stoyanova; Shuyan Du; Paul Sajda; Truman R. Brown (Bioinform., 2006)

Causal Influences in the Human Brain During Face Discrimination: A Short-Window Directed Transfer Function Approach - Marios G. Philiastides; Paul Sajda (IEEE Trans. Biomed. Eng., 2006)

Varying complexity in tree-structured image distribution models - Clay Spence; Lucas C. Parra; Paul Sajda (IEEE Trans. Image Process., 2006)

Using Single-Trial EEG to Estimate the Timing of Target Onset During Rapid Serial Visual Presentation - An Luo; Paul Sajda (28th International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2006, New York City, NY, USA, August 30 - September 3, 2006, Main Volume, 2006)

Electrooculogram based system for computer control using a multiple feature classification model - Armen R. Kherlopian; Joseph Gerrein; Minerva Yue; Kristina E. Kim; Ji Won Kim; Madhav Sukumaran; Paul Sajda (28th International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2006, New York City, NY, USA, August 30 - September 3, 2006, Main Volume, 2006)

Analysis of a Gain Control Model of V1: Is the Goal Redundancy Reduction? - Jianing Shi; Jim Wielaard; Paul Sajda (28th International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2006, New York City, NY, USA, August 30 - September 3, 2006, Main Volume, 2006)

Classifying Single-Trial ERPs from Visual and Frontal Cortex during Free Viewing - Akaysha C. Tang; Matthew T. Sutherland; Christopher J. McKinney; Jingyu Liu; Yan Wang; Lucas C. Parra; Adam D. Gerson; Paul Sajda (Proceedings of the International Joint Conference on Neural Networks, IJCNN 2006, part of the IEEE World Congress on Computational Intelligence, WCCI 2006, Vancouver, BC, Canada, 16-21 July 2006, 2006)

Guest editorial: Special issue on blind source separation and de-convolution in imaging and image processing - Paul Sajda; Yehoshua Y. Zeevi (Int. J. Imaging Syst. Technol., 2005)

Recipes for the linear analysis of EEG - Lucas C. Parra; Clay D. Spence; Adam D. Gerson; Paul Sajda (NeuroImage, 2005)

Cortical origins of response time variability during rapid discrimination of visual objects - Adam D. Gerson; Lucas C. Parra; Paul Sajda (NeuroImage, 2005)

Neural mechanisms of contrast dependent receptive field size in V1 - Jim Wielaard; Paul Sajda (Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, NIPS 2005, December 5-8, 2005, Vancouver, British Columbia, Canada], 2005)

Integration of form and motion within a generative model of visual cortex - Paul Sajda; Kyungim Baek (Neural Networks, 2004)

Nonnegative matrix factorization for rapid recovery of constituent spectra in magnetic resonance chemical shift imaging of the brain - Paul Sajda; Shuyan Du; Truman R. Brown; Radka Stoyanova; Dikoma C. Shungu; Xiangling Mao; Lucas C. Parra (IEEE Trans. Medical Imaging, 2004)

Multi-Resolution Hierarchical Blind Recovery of Biochemical Markers of Brain Cancer In MRSI - Shuyan Du; Paul Sajda; Xiangling Mao; Dikoma C. Shungu (Proceedings of the 2004 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Arlington, VA, USA, 15-18 April 2004, 2004)

Comparison of Supervised And Unsupervised Linear Methods for Recovering Task-Relevant Activity In EEG - An Luo; Paul Sajda; Adam D. Gerson (Proceedings of the 2004 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Arlington, VA, USA, 15-18 April 2004, 2004)

Blind recovery of biochemical markers of brain cancer in MRSI - Shuyan Du; Xiangling Mao; Dikoma C. Shungu; Paul Sajda (Medical Imaging 2004: Image Processing, San Diego, California, United States, 14-19 February 2004, 2004)

Single-trial detection in EEG and MEG: Keeping it linear - Lucas C. Parra; Christopher V. Alvino; Akaysha C. Tang; Barak A. Pearlmutter; Nick Yeung; Allen Osman; Paul Sajda (Neurocomputing, 2003)

Blind Source Separation via Generalized Eigenvalue Decomposition - Lucas C. Parra; Paul Sajda (J. Mach. Learn. Res., 2003)

A multi-scale probabilistic network model for detection, synthesis and compression in mammographic image analysis - Paul Sajda; Clay Spence; Lucas C. Parra (Medical Image Anal., 2003)

Linear Spatial Integration for Single-Trial Detection in Encephalography - Lucas C. Parra; Christopher V. Alvino; Akaysha C. Tang; Barak A. Pearlmutter; Nick Yeung; Allen Osman; Paul Sajda (NeuroImage, 2002)

Learning contextual relationships in mammograms using a pyramid neural network - Paul Sajda; Clay Spence; John C. Pearson (IEEE Trans. Medical Imaging, 2002)

Capturing contextual dependencies in medical imagery using hierarchical multi-scale models - Paul Sajda; Clay Spence; Lucas C. Parra (Proceedings of the 2002 IEEE International Symposium on Biomedical Imaging, Ritz-Carlton Hotel, Washington, DC, USA, 7-10 June 2002, 2002)

Hierarchical, Multi-resolution Models for Object Recognition: Applications to Mammographic Computer-aided Diagnosis - Paul Sajda; Clay Spence; Lucas C. Parra; Robert M. Nishikawa (29th Applied Image Pattern Recognition Workshop (AIPR 2000), 16-18 October 2000, Washington, DC, USA, Proceedings, 2000)

Hierarchical Image Probability (HIP) Models - Clay Spence; Lucas C. Parra; Paul Sajda (Proceedings of the 2000 International Conference on Image Processing, ICIP 2000, Vancouver, BC, Canada, September 10-13, 2000, 2000)

Mammographic mass detection with a hierarchical image probability (HIP) model - Clay D. Spence; Lucas C. Parra; Paul Sajda (Medical Imaging 2000: Image Processing, San Diego, CA, United States, 12-18 February 2000, 2000)

Higher-Order Statistical Properties Arising from the Non-Stationarity of Natural Signals - Lucas C. Parra; Clay Spence; Paul Sajda (Advances in Neural Information Processing Systems 13, Papers from Neural Information Processing Systems (NIPS) 2000, Denver, CO, USA, 2000)

Unmixing Hyperspectral Data - Lucas C. Parra; Clay Spence; Paul Sajda; Andreas Ziehe; Klaus-Robert Müller (Advances in Neural Information Processing Systems 12, [NIPS Conference, Denver, Colorado, USA, November 29 - December 4, 1999], 1999)

Role of feature selection in building pattern recognizers for computer-aided diagnosis - Clay D. Spence; Paul Sajda (Medical Imaging 1998: Image Processing, San Diego, CA, United States, 21-26 February 1998, 1998)

Applications of Multi-Resolution Neural Networks to Mammography - Clay Spence; Paul Sajda (Advances in Neural Information Processing Systems 11, [NIPS Conference, Denver, Colorado, USA, November 30 - December 5, 1998], 1998)

Coarse-grain parallel computing for very large scale neural simulations in the NEXUS simulation environment - Kô Sakai; Paul Sajda; Shih-Cheng Yen; Leif H. Finkel (Comput. Biol. Medicine, 1997)

Exploiting context in mammograms: a hierarchical neural network for detecting microcalcifications - Paul Sajda; Clay D. Spence; John C. Pearson; Robert M. Nishikawa (Medical Imaging 1996: Image Processing, Newport Beach, CA, United States, 10-15 February 1996, 1996)

Integrating neural networks with image pyramids to learn target context - Paul Sajda; Clay Spence; Steven C. Hsu; John C. Pearson (Neural Networks, 1995)

A hierarchical neural network architecture that learns target context: applications to digital mammography - Paul Sajda; Clay Spence; John C. Pearson (Proceedings 1995 International Conference on Image Processing, Washington, DC, USA, October 23-26, 1995, 1995)

Dual Mechanisms for Neural Binding and Segmentation - Paul Sajda; Leif H. Finkel (Advances in Neural Information Processing Systems 6, [7th NIPS Conference, Denver, Colorado, USA, 1993], 1993)

Object Discrimination Based on Depth-from-Occlusion - Leif H. Finkel; Paul Sajda (Neural Comput., 1992)

Simulating biological vision with hybrid neural networks - Paul Sajda; Leif H. Finkel (Simul., 1992)

NEXUS: A simulation environment for large-scale neural systems - Paul Sajda; Leif H. Finkel (Simul., 1992)

Object segmentation and binding within a biologically-based neural network model of depth-from-occlusion - Paul Sajda; Leif H. Finkel (IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 1992, Proceedings, 15-18 June, 1992, Champaign, Illinois, USA, 1992)