Paul Sajda - RankMe

135 papers A* 7A 1B 10C 1Journal 71Unranked 44

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Gaze patterns predict preference and confidence in pairwise AI image evaluation. CoRR Nikolas Papadopoulos, Shreenithi Navaneethan, Sheng Bai, Ankur Samanta, Paul Sajda
2026	J	`jnl`	Structure Enables Effective Self-Localization of Errors in LLMs. CoRR Ankur Samanta, Akshayaa Magesh, Ayush Jain, Kavosh Asadi, Youliang Yu, Daniel Jiang, Boris Vidolov, Kaveh Hassani, Paul Sajda, Jalaj Bhandari, Yonathan Efroni
2026	A*	`conf`	SwEYEpinch and Beyond: Exploring Intuitive, Efficient Text Entry for Extended Reality via Eye and Hand Tracking. CHI Ziheng 'Leo' Li, Xichen He, Mengyuan Wu, Zeyi Tong, Haowen Wei, Benjamin Yang, Steven Feiner, Paul Sajda
2025	J	`jnl`	An interaction-centric approach for quantifying eye-to-eye reciprocal interaction. NeuroImage Ray Lee, Paul Sajda, Nim Tottenham
2025	J	`jnl`	Brain2Model Transfer: Training sensory and decision models with human neural activity as a teacher. CoRR Tomas Gallo Aquino, Victoria Liu, Habiba Azab, Raissa Mathura, Andrew J. Watrous, Eleonora Bartoli, Benjamin Y. Hayden, Paul Sajda, Sameer A. Sheth, Nuttida Rungratsameetaweemana
2025	A*	`conf`	Enabling Multi-Robot Collaboration from Single-Human Guidance. ICRA Zhengran Ji, Lingyu Zhang, Paul Sajda, Boyuan Chen
2025	J	`jnl`	Internalizing Self-Consistency in Language Models: Multi-Agent Consensus Alignment. CoRR Ankur Samanta, Akshayaa Magesh, Youliang Yu, Runzhe Wu, Ayush Jain, Daniel Jiang, Boris Vidolov, Paul Sajda, Yonathan Efroni, Kaveh Hassani
2025	J	`jnl`	Perception of an AI Teammate in an Embodied Control Task Affects Team Performance, Reflected in Human Teammates' Behaviors and Physiological Responses. CoRR Yinuo Qin, Richard T. Lee, Paul Sajda
2025	J	`jnl`	Physiologically-Informed Predictability of a Teammate's Future Actions Forecasts Team Performance. CoRR Yinuo Qin, Richard T. Lee, Weijia Zhang, Xiaoxiao Sun, Paul Sajda
2025	B	`conf`	Using Eye Tracking and AI-Powered Experimental Design to Create Patient-Centric Clinical Studies. ETRA Linbi Hong, Corbin Ping, Diego E. Arias, Nikolas Papadopoulos, Victoria Liu, Paul Sajda, Christopher Sege, Lisa M. McTeague
2024	J	`jnl`	Circular Clustering With Polar Coordinate Reconstruction. IEEE ACM Trans. Comput. Biol. Bioinform. Xiaoxiao Sun, Paul Sajda
2024	—	`conf`	EEG-estimated functional connectivity, and not behavior, differentiates Parkinson's patients from health controls during the Simon conflict task. EMBC Xiaoxiao Sun, Chongkun Zhao, Sharath C. Koorathota, Paul Sajda
2024	J	`jnl`	EEG-estimated functional connectivity, and not behavior, differentiates Parkinson's patients from health controls during the Simon conflict task. CoRR Xiaoxiao Sun, Chongkun Zhao, Sharath C. Koorathota, Paul Sajda
2024	J	`jnl`	Enabling Multi-Robot Collaboration from Single-Human Guidance. CoRR Zhengran Ji, Lingyu Zhang, Paul Sajda, Boyuan Chen
2024	—	`conf`	Gaze-Informed Vision Transformers: Predicting Driving Decisions Under Uncertainty. ICMI Companion Sharath C. Koorathota, Nikolas Papadopoulos, Jia Li Ma, Shruti Kumar, Xiaoxiao Sun, Arunesh Mittal, Patrick Adelman, Paul Sajda
2024	J	`jnl`	PhysioLabXR: A Python Platform for Real-Time, Multi-modal, Brain-Computer Interfaces and Extended Reality Experiments. J. Open Source Softw. Ziheng 'Leo' Li, Haowen 'John' Wei, Ziwen Xie, Yunxiang Peng, June Pyo Suh, Steven Feiner, Paul Sajda
2024	—	`conf`	Pupil-Linked Arousal is Predictive of Team Performance in a Virtual Reality (VR) Sensory-Motor Task. EMBC Yinuo Qin, Weijia Zhang, Richard Lee, Xiaoxiao Sun, Paul Sajda
2023	J	`jnl`	Bayesian Beta-Bernoulli Process Sparse Coding with Deep Neural Networks. CoRR Arunesh Mittal, Kai Yang, Paul Sajda, John Paisley
2023	—	`conf`	Capturing Interactions between Arousal and Cortical Dynamics with Simultaneous Pupillometry and EEG-fMRI. ACIIW Linbi Hong, Hengda He, Paul Sajda
2023	J	`jnl`	Circular Clustering with Polar Coordinate Reconstruction. CoRR Xiaoxiao Sun, Paul Sajda
2023	J	`jnl`	Fixating on Attention: Integrating Human Eye Tracking into Vision Transformers. CoRR Sharath C. Koorathota, Nikolas Papadopoulos, Jia Li Ma, Shruti Kumar, Xiaoxiao Sun, Arunesh Mittal, Patrick Adelman, Paul Sajda
2023	—	`conf`	Fusing Simultaneously Acquired EEG and fMRI via Hierarchical Deep Transcoding. BI Xueqing Liu, Paul Sajda
2023	—	`conf`	Latent Neural Source Recovery via Transcoding of Simultaneous EEG-fMRI. BI Xueqing Liu, Paul Sajda
2023	—	`conf`	Neurophysiological Predictors of Self-Reported Difficulty in a Virtual-Reality Driving Scenario. EMBC Jia Li Ma, Sharath C. Koorathota, Paul Sajda
2023	J	`jnl`	Pupillary response is associated with the reset and switching of functional brain networks during salience processing. PLoS Comput. Biol. Hengda He, Linbi Hong, Paul Sajda
2023	—	`conf`	Reciprocal Dyadic Affective Interaction: from Facial Expressions to Brain Networks. ACIIW Ray Lee, Joshua Friedman, Paul Sajda, Nim Tottenham
2023	—	`conf`	Roe: A Computational-Efficient Anti-hallucination Fine-Tuning Technology for Large Language Model Inspired by Human Learning Process. BI Xueqing Liu, Paul Sajda
2023	—	`conf`	Unsupervised Sparse-View Backprojection via Convolutional and Spatial Transformer Networks. BI Xueqing Liu, Paul Sajda
2022	—	`conf`	Deep Metric Representation Learning for Clinical Resting State fMRI. EMBC Arunesh Mittal, John Paisley, Paul Sajda
2022	—	`conf`	Enhancing Portable OCT Image Quality via GANs for AI-Based Eye Disease Detection. DeCaF/FAIR@MICCAI Kaveri A. Thakoor, Ari Carter, Ge Song, Adam Wax, Omar Moussa, Royce W. S. Chen, Christine Hendon, Paul Sajda
2022	J	`jnl`	Inferring latent neural sources via deep transcoding of simultaneously acquired EEG and fMRI. CoRR Xueqing Liu, Tao Tu, Paul Sajda
2022	—	`conf`	Multimodal Neurophysiological Transformer for Emotion Recognition. EMBC Sharath C. Koorathota, Zain Khan, Pawan Lapborisuth, Paul Sajda
2022	—	`conf`	Predictive Power of Pupil Dynamics in a Team Based Virtual Reality Task. VR Workshops Yinuo Qin, Weijia Zhang, Richard Lee, Xiaoxiao Sun, Paul Sajda
2021	J	`jnl`	Ballistocardiogram Artifact Reduction in Simultaneous EEG-fMRI Using Deep Learning. IEEE Trans. Biomed. Eng. James R. McIntosh, Jiaang Yao, Linbi Hong, Josef Faller, Paul Sajda
2021	—	`conf`	Editing Like Humans: A Contextual, Multimodal Framework for Automated Video Editing. CVPR Workshops Sharath C. Koorathota, Patrick Adelman, Kelly Cotton, Paul Sajda
2021	—	`conf`	Hybrid 3d-2d Deep Learning For Detection Of Neovascularage-Related Macular Degeneration Using Optical Coherence Tomography B-Scans And Angiography Volumes. ISBI Kaveri A. Thakoor, Darius Bordbar, Jiaang Yao, Omar Moussa, Royce W. S. Chen, Paul Sajda
2021	J	`jnl`	Improving Prediction of Cognitive Performance using Deep Neural Networks in Sparse Data. CoRR Sharath C. Koorathota, Arunesh Mittal, Richard P. Sloan, Paul Sajda
2021	J	`jnl`	Robust and Interpretable Convolutional Neural Networks to Detect Glaucoma in Optical Coherence Tomography Images. IEEE Trans. Biomed. Eng. Kaveri A. Thakoor, Sharath C. Koorathota, Donald C. Hood, Paul Sajda
2021	J	`jnl`	Scale-specific dynamics of high-amplitude bursts in EEG capture behaviorally meaningful variability. NeuroImage Kanika Bansal, Javier O. Garcia, Nina Lauharatanahirun, Sarah Feldt Muldoon, Paul Sajda, Jean M. Vettel
2021	J	`jnl`	Spatiospectral brain networks reflective of improvisational experience. NeuroImage Josef Faller, Andrew Goldman, Yida Lin, James R. McIntosh, Paul Sajda
2020	A*	`conf`	Accelerated Robot Learning via Human Brain Signals. ICRA Iretiayo Akinola, Zizhao Wang, Junyao Shi, Xiaomin He, Pawan Lapborisuth, Jingxi Xu, David Watkins-Valls, Paul Sajda, Peter K. Allen
2020	J	`jnl`	Bayesian recurrent state space model for rs-fMRI. CoRR Arunesh Mittal, Scott W. Linderman, John W. Paisley, Paul Sajda
2020	J	`jnl`	Deep Bayesian Nonparametric Factor Analysis. CoRR Arunesh Mittal, Paul Sajda, John W. Paisley
2020	J	`jnl`	Latent neural source recovery via transcoding of simultaneous EEG-fMRI. CoRR Xueqing Liu, Linbi Hong, Paul Sajda
2020	—	`conf`	Sequence Models in Eye Tracking: Predicting Pupil Diameter During Learning. ETRA Adjunct Sharath C. Koorathota, Kaveri A. Thakoor, Patrick Adelman, Yaoli Mao, Xueqing Liu, Paul Sajda
2020	J	`jnl`	Unsupervised Sparse-view Backprojection via Convolutional and Spatial Transformer Networks. CoRR Xueqing Liu, Paul Sajda
2019	—	`conf`	A Convolutional Neural Network for Transcoding Simultaneously Acquired EEG-fMRI Data. NER Xueqing Liu, Paul Sajda
2019	A*	`conf`	A state-space model for inferring effective connectivity of latent neural dynamics from simultaneous EEG/fMRI. NeurIPS Tao Tu, John W. Paisley, Stefan Haufe, Paul Sajda
2019	J	`jnl`	Accelerated Robot Learning via Human Brain Signals. CoRR Iretiayo Akinola, Zizhao Wang, Junyao Shi, Xiaomin He, Pawan Lapborisuth, Jingxi Xu, David Watkins-Valls, Paul Sajda, Peter K. Allen
2019	—	`conf`	An EEG-fMRI-TMS instrument to investigate BOLD response to EEG guided stimulation. NER 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	—	`conf`	Enhancing the Accuracy of Glaucoma Detection from OCT Probability Maps using Convolutional Neural Networks. EMBC Kaveri A. Thakoor, Xinhui Li, Emmanouil Tsamis, Paul Sajda, Donald C. Hood
2019	—	`conf`	Investigating Evoked EEG Responses to Targets Presented in Virtual Reality. EMBC Pawan Lapborisuth, Josef Faller, Jonathan Koss, Nicholas R. Waytowich, Jonathan Touryan, Paul Sajda
2019	—	`conf`	Simultaneous EEG-fMRI Study Reveals Separate Bias Mechanisms Modulated by Stimulus Evidence During Rapid Face Processing. EMBC Tao Tu, Paul Sajda
2018	J	`jnl`	A multimodal encoding model applied to imaging decision-related neural cascades in the human brain. NeuroImage Jordan Muraskin, Truman R. Brown, Jennifer M. Walz, Tao Tu, Bryan R. Conroy, Robin I. Goldman, Paul Sajda
2018	J	`jnl`	Compact Convolutional Neural Networks for Classification of Asynchronous Steady-state Visual Evoked Potentials. CoRR Nicholas R. Waytowich, Vernon Lawhern, Javier O. Garcia, Jennifer Cummings, Josef Faller, Paul Sajda, Jean M. Vettel
2018	J	`jnl`	Correlation of neural activity with behavioral kinematics reveals distinct sensory encoding and evidence accumulation processes during active tactile sensing. NeuroImage Ioannis Delis, Jacek P. Dmochowski, Paul Sajda, Qi Wang
2018	—	`conf`	Correlations of Neural Activity with Behavioral Kinematics during Active Tactile Decision Making. SETN Ioannis Delis, Jacek P. Dmochowski, Paul Sajda, Qi Wang
2018	—	`conf`	EEG-based Endogenous Online Co-Adaptive Brain-Computer Interfaces: Strategy for Success? CEEC Reinhold Scherer, Josef Faller, Paul Sajda, Carmen Vidaurre
2018	J	`jnl`	Extracting multidimensional stimulus-response correlations using hybrid encoding-decoding of neural activity. NeuroImage Jacek P. Dmochowski, Jason J. Ki, Paul DeGuzman, Paul Sajda, Lucas C. Parra
2018	—	`conf`	Relating Deep Neural Network Representations to EEG-fMRI Spatiotemporal Dynamics in a Perceptual Decision-Making Task. CVPR Workshops Tao Tu, Jonathan Koss, Paul Sajda
2017	J	`jnl`	Advanced Technologies for Brain Research [Scanning the Issue]. Proc. IEEE Metin Akay, Paul Sajda, Silvestro Micera, Jose M. Carmena
2017	—	`conf`	Deep Reinforcement Learning Using Neurophysiological Signatures of Interest. HRI (Companion) Victor Shih, David C. Jangraw, Sameer Saproo, Paul Sajda
2017	J	`jnl`	Fusing Multiple Neuroimaging Modalities to Assess Group Differences in Perception-Action Coupling. Proc. IEEE Jordan Muraskin, Jason Sherwin, Gregory Lieberman, Javier O. Garcia, Timothy D. Verstynen, Jean M. Vettel, Paul Sajda
2017	C	`conf`	Keynotes. ICCE Paul Sajda
2017	J	`jnl`	SigViewer: Visualizing Multimodal Signals Stored in XDF (Extensible Data Format) Files. CoRR Yida Lin, Clemens Brunner, Paul Sajda, Josef Faller
2017	—	`conf`	Sigviewer - current Status and Recent Developments. GBCIC Clemens Brunner, Yida Lin, Paul Sajda, Josef Faller
2017	J	`jnl`	Towards personalized human AI interaction - adapting the behavior of AI agents using neural signatures of subjective interest. CoRR Victor Shih, David C. Jangraw, Paul Sajda, Sameer Saproo
2017	—	`conf`	Welcome message. NER Shanbao Tong, José C. Príncipe, Lei Ding, Paul Sajda
2016	B	`conf`	Closed-loop regulation of user state during a boundary avoidance task. SMC Josef Faller, Sameer Saproo, Victor Shih, Paul Sajda
2016	J	`jnl`	Cortically Coupled Computing: A New Paradigm for Synergistic Human-Machine Interaction. Computer Sameer Saproo, Josef Faller, Victor Shih, Paul Sajda, Nicholas R. Waytowich, Addison W. Bohannon, Vernon J. Lawhern, Brent J. Lance, David C. Jangraw
2016	B	`conf`	Predicting decision accuracy and certainty in complex brain-machine interactions. SMC Victor Shih, Ludan Zhang, Christian Kothe, Scott Makeig, Paul Sajda
2016	B	`conf`	Unsupervised adaptive transfer learning for Steady-State Visual Evoked Potential brain-computer interfaces. SMC Nicholas R. Waytowich, Josef Faller, Javier O. Garcia, Jean M. Vettel, Paul Sajda
2015	J	`jnl`	Knowing when not to swing: EEG evidence that enhanced perception-action coupling underlies baseball batter expertise. NeuroImage Jordan Muraskin, Jason Sherwin, Paul Sajda
2015	J	`jnl`	Pre-stimulus functional networks modulate task performance in time-pressured evidence gathering and decision-making. NeuroImage Jason Samuel Sherwin, Jordan Muraskin, Paul Sajda
2015	J	`jnl`	Prestimulus EEG alpha oscillations modulate task-related fMRI BOLD responses to auditory stimuli. NeuroImage Jennifer M. Walz, Robin I. Goldman, Michael Carapezza, Jordan Muraskin, Truman R. Brown, Paul Sajda
2014	A*	`conf`	Correlating Speaker Gestures in Political Debates with Audience Engagement Measured via EEG. ACM Multimedia John R. Zhang, Jason Sherwin, Jacek Dmochowski, Paul Sajda, John R. Kender
2014	J	`jnl`	Evoked Neural Responses to Events in Video. IEEE J. Sel. Top. Signal Process. Daniel Rosenthal, Paul DeGuzman, Lucas C. Parra, Paul Sajda
2014	—	`conf`	Neural Correlates of Spatiotemporal Event Recognition: Application to Brain-Computer Interfaces for Video Exploitation. PIVP@MM Paul Sajda
2014	J	`jnl`	Prestimulus alpha power predicts fidelity of sensory encoding in perceptual decision making. NeuroImage Bin Lou, Yun Li, Marios G. Philiastides, Paul Sajda
2014	J	`jnl`	Simultaneous EEG-fMRI reveals a temporal cascade of task-related and default-mode activations during a simple target detection task. NeuroImage Jennifer M. Walz, Robin I. Goldman, Michael Carapezza, Jordan Muraskin, Truman R. Brown, Paul Sajda
2013	J	`jnl`	Fast Simultaneous Training of Generalized Linear Models (FaSTGLZ). CoRR Bryan R. Conroy, Jennifer M. Walz, Brian Cheung, Paul Sajda
2013	—	`conf`	Feature selection for gaze, pupillary, and EEG signals evoked in a 3D environment. GazeIn@ICMI David C. Jangraw, Paul Sajda
2013	J	`jnl`	Grand Challenges in Mapping the Human Brain: NSF Workshop Report. IEEE Trans. Biomed. Eng. Bin He, Todd P. Coleman, Guy M. Genin, Gary Glover, Xiaoping Hu, Nessa Johnson, Tianming Liu, Scott Makeig, Paul Sajda, Kaiming Ye
2013	J	`jnl`	Prospective active marker motion correction improves statistical power in BOLD fMRI. NeuroImage Jordan Muraskin, Melvyn B. Ooi, Robin Goldman, Sascha Krueger, William J. Thomas, Paul Sajda, Truman R. Brown
2012	A	`conf`	Fast, Exact Model Selection and Permutation Testing for l2-Regularized Logistic Regression. AISTATS Bryan R. Conroy, Paul Sajda
2012	J	`jnl`	Where Is the User in Multimedia Retrieval? IEEE Multim. Marcel Worring, Paul Sajda, Simone Santini, David A. Shamma, Alan F. Smeaton, Qiang Yang
2011	J	`jnl`	Guest Editorial Special Issue on Brain-Machine Interface. IEEE J. Emerg. Sel. Topics Circuits Syst. Mohamad Sawan, Pedram Mohseni, Paul Sajda, Justin C. Sanchez
2010	J	`jnl`	A Fast Hybrid Algorithm for Large-Scale J. Mach. Learn. Res. Jianing Shi, Wotao Yin, Stanley J. Osher, Paul Sajda
2010	—	`ch.`	Cortically-Coupled Computer Vision. Brain-Computer Interfaces Paul Sajda, Eric Pohlmeyer, Jun Wang, Barbara Hanna, Lucas C. Parra, Shih-Fu Chang
2010	J	`jnl`	In a Blink of an Eye and a Switch of a Transistor: Cortically Coupled Computer Vision. Proc. IEEE Paul Sajda, Eric Pohlmeyer, Jun Wang, Lucas C. Parra, Christoforos Christoforou, Jacek Dmochowski, Barbara Hanna, Claus Bahlmann, Maneesh Kumar Singh, Shih-Fu Chang
2010	J	`jnl`	Maximum Likelihood in Cost-Sensitive Learning: Model Specification, Approximations, and Upper Bounds. J. Mach. Learn. Res. Jacek P. Dmochowski, Paul Sajda, Lucas C. Parra
2010	J	`jnl`	Second-Order Bilinear Discriminant Analysis. J. Mach. Learn. Res. Christoforos Christoforou, Robert M. Haralick, Paul Sajda, Lucas C. Parra
2009	A*	`conf`	Brain state decoding for rapid image retrieval. ACM Multimedia Jun Wang, Eric Pohlmeyer, Barbara Hanna, Yu-Gang Jiang, Paul Sajda, Shih-Fu Chang
2009	J	`jnl`	Removal of BCG Artifacts Using a Non-Kirchhoffian Overcomplete Representation. IEEE Trans. Biomed. Eng. Mads Dyrholm, Robin Goldman, Paul Sajda, Truman R. Brown
2009	J	`jnl`	Single-trial discrimination for integrating simultaneous EEG and fMRI: Identifying cortical areas contributing to trial-to-trial variability in the auditory oddball task. NeuroImage Robin Goldman, Cheng-Yu Wei, Marios G. Philiastides, Adam D. Gerson, David Friedman, Truman R. Brown, Paul Sajda
2008	J	`jnl`	Brain-Computer Interfaces [from the guest editors]. IEEE Signal Process. Mag. Paul Sajda, Klaus-Robert Müller, Krishna V. Shenoy
2008	J	`jnl`	Spatiotemporal Linear Decoding of Brain State. IEEE Signal Process. Mag. Lucas C. Parra, Christoforos Christoforou, Adam C. Gerson, Mads Dyrholm, An Luo, Mark Wagner, Marios G. Philiastides, Paul Sajda
2007	—	`conf`	Second Order Bilinear Discriminant Analysis for single trial EEG analysis. NIPS Christoforos Christoforou, Paul Sajda, Lucas C. Parra
2006	—	`conf`	Analysis of a Gain Control Model of V1: Is the Goal Redundancy Reduction? EMBC Jianing Shi, Jim Wielaard, Paul Sajda
2006	J	`jnl`	Causal Influences in the Human Brain During Face Discrimination: A Short-Window Directed Transfer Function Approach. IEEE Trans. Biomed. Eng. Marios G. Philiastides, Paul Sajda
2006	B	`conf`	Classifying Single-Trial ERPs from Visual and Frontal Cortex during Free Viewing. IJCNN Akaysha C. Tang, Matthew T. Sutherland, Christopher J. McKinney, Jingyu Liu, Yan Wang, Lucas C. Parra, Adam D. Gerson, Paul Sajda
2006	—	`conf`	Electrooculogram based system for computer control using a multiple feature classification model. EMBC Armen R. Kherlopian, Joseph Gerrein, Minerva Yue, Kristina E. Kim, Ji Won Kim, Madhav Sukumaran, Paul Sajda
2006	—	`conf`	Using Single-Trial EEG to Estimate the Timing of Target Onset During Rapid Serial Visual Presentation. EMBC An Luo, Paul Sajda
2006	J	`jnl`	Varying complexity in tree-structured image distribution models. IEEE Trans. Image Process. Clay Spence, Lucas C. Parra, Paul Sajda
2005	J	`jnl`	Cortical origins of response time variability during rapid discrimination of visual objects. NeuroImage Adam D. Gerson, Lucas C. Parra, Paul Sajda
2005	J	`jnl`	Guest editorial: Special issue on blind source separation and de-convolution in imaging and image processing. Int. J. Imaging Syst. Technol. Paul Sajda, Yehoshua Y. Zeevi
2005	—	`conf`	Neural mechanisms of contrast dependent receptive field size in V1. NIPS Jim Wielaard, Paul Sajda
2005	J	`jnl`	Recipes for the linear analysis of EEG. NeuroImage Lucas C. Parra, Clay D. Spence, Adam D. Gerson, Paul Sajda
2004	B	`conf`	Blind recovery of biochemical markers of brain cancer in MRSI. Image Processing Shuyan Du, Xiangling Mao, Dikoma C. Shungu, Paul Sajda
2004	—	`conf`	Comparison of Supervised And Unsupervised Linear Methods for Recovering Task-Relevant Activity In EEG. ISBI An Luo, Paul Sajda, Adam D. Gerson
2004	J	`jnl`	Integration of form and motion within a generative model of visual cortex. Neural Networks Paul Sajda, Kyungim Baek
2004	—	`conf`	Multi-Resolution Hierarchical Blind Recovery of Biochemical Markers of Brain Cancer In MRSI. ISBI Shuyan Du, Paul Sajda, Xiangling Mao, Dikoma C. Shungu
2004	J	`jnl`	Nonnegative matrix factorization for rapid recovery of constituent spectra in magnetic resonance chemical shift imaging of the brain. IEEE Trans. Medical Imaging Paul Sajda, Shuyan Du, Truman R. Brown, Radka Stoyanova, Dikoma C. Shungu, Xiangling Mao, Lucas C. Parra
2003	J	`jnl`	A multi-scale probabilistic network model for detection, synthesis and compression in mammographic image analysis. Medical Image Anal. Paul Sajda, Clay Spence, Lucas C. Parra
2003	J	`jnl`	Blind Source Separation via Generalized Eigenvalue Decomposition. J. Mach. Learn. Res. Lucas C. Parra, Paul Sajda
2003	J	`jnl`	Single-trial detection in EEG and MEG: Keeping it linear. Neurocomputing Lucas C. Parra, Christopher V. Alvino, Akaysha C. Tang, Barak A. Pearlmutter, Nick Yeung, Allen Osman, Paul Sajda
2002	—	`conf`	Capturing contextual dependencies in medical imagery using hierarchical multi-scale models. ISBI Paul Sajda, Clay Spence, Lucas C. Parra
2002	J	`jnl`	Learning contextual relationships in mammograms using a pyramid neural network. IEEE Trans. Medical Imaging Paul Sajda, Clay Spence, John C. Pearson
2002	J	`jnl`	Linear Spatial Integration for Single-Trial Detection in Encephalography. NeuroImage Lucas C. Parra, Christopher V. Alvino, Akaysha C. Tang, Barak A. Pearlmutter, Nick Yeung, Allen Osman, Paul Sajda
2000	B	`conf`	Hierarchical Image Probability (HIP) Models. ICIP Clay Spence, Lucas C. Parra, Paul Sajda
2000	—	`conf`	Hierarchical, Multi-resolution Models for Object Recognition: Applications to Mammographic Computer-aided Diagnosis. AIPR Paul Sajda, Clay Spence, Lucas C. Parra, Robert M. Nishikawa
2000	—	`conf`	Higher-Order Statistical Properties Arising from the Non-Stationarity of Natural Signals. NIPS Lucas C. Parra, Clay Spence, Paul Sajda
2000	B	`conf`	Mammographic mass detection with a hierarchical image probability (HIP) model. Image Processing Clay D. Spence, Lucas C. Parra, Paul Sajda
1999	—	`conf`	Unmixing Hyperspectral Data. NIPS Lucas C. Parra, Clay Spence, Paul Sajda, Andreas Ziehe, Klaus-Robert Müller
1998	—	`conf`	Applications of Multi-Resolution Neural Networks to Mammography. NIPS Clay Spence, Paul Sajda
1998	B	`conf`	Role of feature selection in building pattern recognizers for computer-aided diagnosis. Image Processing Clay D. Spence, Paul Sajda
1997	J	`jnl`	Coarse-grain parallel computing for very large scale neural simulations in the NEXUS simulation environment. Comput. Biol. Medicine Kô Sakai, Paul Sajda, Shih-Cheng Yen, Leif H. Finkel
1996	B	`conf`	Exploiting context in mammograms: a hierarchical neural network for detecting microcalcifications. Image Processing Paul Sajda, Clay D. Spence, John C. Pearson, Robert M. Nishikawa
1995	—	`conf`	A hierarchical neural network architecture that learns target context: applications to digital mammography. ICIP (3) Paul Sajda, Clay Spence, John C. Pearson
1995	J	`jnl`	Integrating neural networks with image pyramids to learn target context. Neural Networks Paul Sajda, Clay Spence, Steven C. Hsu, John C. Pearson
1993	—	`conf`	Dual Mechanisms for Neural Binding and Segmentation. NIPS Paul Sajda, Leif H. Finkel
1992	J	`jnl`	NEXUS: A simulation environment for large-scale neural systems. Simul. Paul Sajda, Leif H. Finkel
1992	J	`jnl`	Object Discrimination Based on Depth-from-Occlusion. Neural Comput. Leif H. Finkel, Paul Sajda
1992	A*	`conf`	Object segmentation and binding within a biologically-based neural network model of depth-from-occlusion. CVPR Paul Sajda, Leif H. Finkel
1992	J	`jnl`	Simulating biological vision with hybrid neural networks. Simul. Paul Sajda, Leif H. Finkel