Object segmentation and binding within a biologically-based neural network model of depth-from-occlusion. - Paul Sajda; Leif H. Finkel (CVPR, 1992)

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)

Dual Mechanisms for Neural Binding and Segmentation. - Paul Sajda; Leif H. Finkel (NIPS, 1993)

A hierarchical neural network architecture that learns target context: applications to digital mammography. - Paul Sajda; Clay Spence; John C. Pearson (ICIP (3), 1995)

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

Exploiting context in mammograms: a hierarchical neural network for detecting microcalcifications. - Paul Sajda; Clay D. Spence; John C. Pearson; Robert M. Nishikawa (Image Processing, 1996)

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)

Role of feature selection in building pattern recognizers for computer-aided diagnosis. - Clay D. Spence; Paul Sajda (Image Processing, 1998)

Applications of Multi-Resolution Neural Networks to Mammography. - Clay Spence; Paul Sajda (NIPS, 1998)

Unmixing Hyperspectral Data. - Lucas C. Parra; Clay Spence; Paul Sajda; Andreas Ziehe; Klaus-Robert Müller (NIPS, 1999)

Hierarchical, Multi-resolution Models for Object Recognition: Applications to Mammographic Computer-aided Diagnosis. - Paul Sajda; Clay Spence; Lucas C. Parra; Robert M. Nishikawa (AIPR, 2000)

Hierarchical Image Probability (HIP) Models. - Clay Spence; Lucas C. Parra; Paul Sajda (ICIP, 2000)

Mammographic mass detection with a hierarchical image probability (HIP) model. - Clay D. Spence; Lucas C. Parra; Paul Sajda (Image Processing, 2000)

Higher-Order Statistical Properties Arising from the Non-Stationarity of Natural Signals. - Lucas C. Parra; Clay Spence; Paul Sajda (NIPS, 2000)

Capturing contextual dependencies in medical imagery using hierarchical multi-scale models. - Paul Sajda; Clay Spence; Lucas C. Parra (ISBI, 2002)

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)

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)

Multi-Resolution Hierarchical Blind Recovery of Biochemical Markers of Brain Cancer In MRSI. - Shuyan Du; Paul Sajda; Xiangling Mao; Dikoma C. Shungu (ISBI, 2004)

Comparison of Supervised And Unsupervised Linear Methods for Recovering Task-Relevant Activity In EEG. - An Luo; Paul Sajda; Adam D. Gerson (ISBI, 2004)

Blind recovery of biochemical markers of brain cancer in MRSI. - Shuyan Du; Xiangling Mao; Dikoma C. Shungu; Paul Sajda (Image Processing, 2004)

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)

Neural mechanisms of contrast dependent receptive field size in V1. - Jim Wielaard; Paul Sajda (NIPS, 2005)

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)

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

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

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 (EMBC, 2006)

Using Single-Trial EEG to Estimate the Timing of Target Onset During Rapid Serial Visual Presentation. - An Luo; Paul Sajda (EMBC, 2006)

Analysis of a Gain Control Model of V1: Is the Goal Redundancy Reduction? - Jianing Shi; Jim Wielaard; Paul Sajda (EMBC, 2006)

Classifying Single-Trial ERPs from Visual and Frontal Cortex during Free Viewing. - Akaysha C. Tang; Matthew T. Sutherland; Christopher J. McKinney; Jingyu Liu 001; Yan Wang; Lucas C. Parra; Adam D. Gerson; Paul Sajda (IJCNN, 2006)

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)

Second Order Bilinear Discriminant Analysis for single trial EEG analysis. - Christoforos Christoforou; Paul Sajda; Lucas C. Parra (NIPS, 2007)

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)

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

Brain state decoding for rapid image retrieval. - Jun Wang 006; Eric Pohlmeyer; Barbara Hanna; Yu-Gang Jiang 001; Paul Sajda; Shih-Fu Chang (ACM Multimedia, 2009)

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)

Second-Order Bilinear Discriminant Analysis. - Christoforos Christoforou; Robert M. Haralick; Paul Sajda; Lucas C. Parra (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)

A Fast Hybrid Algorithm for Large-Scale l1-Regularized Logistic Regression. - Jianing Shi; Wotao Yin; Stanley J. Osher; Paul Sajda (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 006; Lucas C. Parra; Christoforos Christoforou; Jacek Dmochowski; Barbara Hanna; Claus Bahlmann; Maneesh Kumar Singh 001; Shih-Fu Chang (Proc. IEEE, 2010)

Cortically-Coupled Computer Vision. - Paul Sajda; Eric Pohlmeyer; Jun Wang 006; Barbara Hanna; Lucas C. Parra; Shih-Fu Chang (Brain-Computer Interfaces, 2010)

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)

Where Is the User in Multimedia Retrieval? - Marcel Worring; Paul Sajda; Simone Santini; David A. Shamma; Alan F. Smeaton; Qiang Yang 001 (IEEE Multim., 2012)

Fast, Exact Model Selection and Permutation Testing for l2-Regularized Logistic Regression. - Bryan R. Conroy; Paul Sajda (AISTATS, 2012)

Feature selection for gaze, pupillary, and EEG signals evoked in a 3D environment. - David C. Jangraw; Paul Sajda (GazeIn@ICMI, 2013)

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

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 002; Todd P. Coleman; Guy M. Genin; Gary Glover; Xiaoping Hu 001; Nessa Johnson; Tianming Liu 001; Scott Makeig; Paul Sajda; Kaiming Ye (IEEE Trans. Biomed. Eng., 2013)

Neural Correlates of Spatiotemporal Event Recognition: Application to Brain-Computer Interfaces for Video Exploitation. - Paul Sajda (PIVP@MM, 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 (ACM Multimedia, 2014)

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)

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

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)

Closed-loop regulation of user state during a boundary avoidance task. - Josef Faller; Sameer Saproo; Victor Shih; Paul Sajda (SMC, 2016)

Predicting decision accuracy and certainty in complex brain-machine interactions. - Victor Shih; Ludan Zhang; Christian Kothe; Scott Makeig; Paul Sajda (SMC, 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 (SMC, 2016)

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)

Sigviewer - current Status and Recent Developments. - Clemens Brunner 001; Yida Lin; Paul Sajda; Josef Faller (GBCIC, 2017)

Deep Reinforcement Learning Using Neurophysiological Signatures of Interest. - Victor Shih; David C. Jangraw; Sameer Saproo; Paul Sajda (HRI (Companion), 2017)

Keynotes. - Paul Sajda (ICCE, 2017)

Welcome message. - Shanbao Tong; José C. Príncipe; Lei Ding 004; Paul Sajda (NER, 2017)

SigViewer: Visualizing Multimodal Signals Stored in XDF (Extensible Data Format) Files. - Yida Lin; Clemens Brunner 001; 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)

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)

EEG-based Endogenous Online Co-Adaptive Brain-Computer Interfaces: Strategy for Success? - Reinhold Scherer; Josef Faller; Paul Sajda; Carmen Vidaurre (CEEC, 2018)

Relating Deep Neural Network Representations to EEG-fMRI Spatiotemporal Dynamics in a Perceptual Decision-Making Task. - Tao Tu 001; Jonathan Koss; Paul Sajda (CVPR Workshops, 2018)

Correlations of Neural Activity with Behavioral Kinematics during Active Tactile Decision Making. - Ioannis Delis; Jacek P. Dmochowski; Paul Sajda; Qi Wang (SETN, 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)

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 001; Bryan R. Conroy; Robin I. Goldman; Paul Sajda (NeuroImage, 2018)

Investigating Evoked EEG Responses to Targets Presented in Virtual Reality. - Pawan Lapborisuth; Josef Faller; Jonathan Koss; Nicholas R. Waytowich; Jonathan Touryan; Paul Sajda (EMBC, 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 (EMBC, 2019)

Simultaneous EEG-fMRI Study Reveals Separate Bias Mechanisms Modulated by Stimulus Evidence During Rapid Face Processing. - Tao Tu 001; Paul Sajda (EMBC, 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 (NER, 2019)

A Convolutional Neural Network for Transcoding Simultaneously Acquired EEG-fMRI Data. - Xueqing Liu 002; Paul Sajda (NER, 2019)

A state-space model for inferring effective connectivity of latent neural dynamics from simultaneous EEG/fMRI. - Tao Tu 001; John W. Paisley; Stefan Haufe; Paul Sajda (NeurIPS, 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)

Sequence Models in Eye Tracking: Predicting Pupil Diameter During Learning. - Sharath C. Koorathota; Kaveri A. Thakoor; Patrick Adelman; Yaoli Mao; Xueqing Liu 002; Paul Sajda (ETRA Adjunct, 2020)

Accelerated Robot Learning via Human Brain Signals. - Iretiayo Akinola; Zizhao Wang; Junyao Shi; Xiaomin He; Pawan Lapborisuth; Jingxi Xu 002; David Watkins-Valls; Paul Sajda; Peter K. Allen (ICRA, 2020)

Latent neural source recovery via transcoding of simultaneous EEG-fMRI. - Xueqing Liu 002; 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)

Editing Like Humans: A Contextual, Multimodal Framework for Automated Video Editing. - Sharath C. Koorathota; Patrick Adelman; Kelly Cotton; Paul Sajda (CVPR Workshops, 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 (ISBI, 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)

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)

Multimodal Neurophysiological Transformer for Emotion Recognition. - Sharath C. Koorathota; Zain Khan; Pawan Lapborisuth; Paul Sajda (EMBC, 2022)

Deep Metric Representation Learning for Clinical Resting State fMRI. - Arunesh Mittal; John Paisley; Paul Sajda (EMBC, 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 (DeCaF/FAIR@MICCAI, 2022)

Predictive Power of Pupil Dynamics in a Team Based Virtual Reality Task. - Yinuo Qin; Weijia Zhang; Richard Lee; Xiaoxiao Sun 003; Paul Sajda (VR Workshops, 2022)

Inferring latent neural sources via deep transcoding of simultaneously acquired EEG and fMRI. - Xueqing Liu 002; Tao Tu 001; Paul Sajda (CoRR, 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)

Capturing Interactions between Arousal and Cortical Dynamics with Simultaneous Pupillometry and EEG-fMRI. - Linbi Hong; Hengda He; Paul Sajda (ACIIW, 2023)

Reciprocal Dyadic Affective Interaction: from Facial Expressions to Brain Networks. - Ray Lee; Joshua Friedman; Paul Sajda; Nim Tottenham (ACIIW, 2023)

Fusing Simultaneously Acquired EEG and fMRI via Hierarchical Deep Transcoding. - Xueqing Liu; Paul Sajda (BI, 2023)

Unsupervised Sparse-View Backprojection via Convolutional and Spatial Transformer Networks. - Xueqing Liu 002; Paul Sajda (BI, 2023)

Latent Neural Source Recovery via Transcoding of Simultaneous EEG-fMRI. - Xueqing Liu 002; Paul Sajda (BI, 2023)

Roe: A Computational-Efficient Anti-hallucination Fine-Tuning Technology for Large Language Model Inspired by Human Learning Process. - Xueqing Liu; Paul Sajda (BI, 2023)

Neurophysiological Predictors of Self-Reported Difficulty in a Virtual-Reality Driving Scenario. - Jia Li Ma; Sharath C. Koorathota; Paul Sajda (EMBC, 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 003; Arunesh Mittal; Patrick Adelman; Paul Sajda (CoRR, 2023)

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)

Pupil-Linked Arousal is Predictive of Team Performance in a Virtual Reality (VR) Sensory-Motor Task. - Yinuo Qin; Weijia Zhang; Richard Lee; Xiaoxiao Sun 003; Paul Sajda (EMBC, 2024)

EEG-estimated functional connectivity, and not behavior, differentiates Parkinson's patients from health controls during the Simon conflict task. - Xiaoxiao Sun 003; Chongkun Zhao; Sharath C. Koorathota; Paul Sajda (EMBC, 2024)

Gaze-Informed Vision Transformers: Predicting Driving Decisions Under Uncertainty. - Sharath C. Koorathota; Nikolas Papadopoulos; Jia Li Ma; Shruti Kumar; Xiaoxiao Sun 003; Arunesh Mittal; Patrick Adelman; Paul Sajda (ICMI Companion, 2024)

Enabling Multi-Robot Collaboration from Single-Human Guidance. - Zhengran Ji; Lingyu Zhang; Paul Sajda; Boyuan Chen 001 (CoRR, 2024)

Circular Clustering With Polar Coordinate Reconstruction. - Xiaoxiao Sun 003; Paul Sajda (IEEE ACM Trans. Comput. Biol. Bioinform., 2024)

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 002; June Pyo Suh; Steven Feiner; Paul Sajda (Zenodo, 2024)

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 002; June Pyo Suh; Steven Feiner; Paul Sajda (J. Open Source Softw., 2024)

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 (ETRA, 2025)

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

Physiologically-Informed Predictability of a Teammate's Future Actions Forecasts Team Performance. - Yinuo Qin; Richard T. Lee; Weijia Zhang; Xiaoxiao Sun 003; 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)