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Paul Sajda
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2020 – today
- 2024
- [j49]Ziheng 'Leo' Li
, Haowen 'John' Wei
PhysioLabXR: A Python Platform for Real-Time, Multi-modal, Brain-Computer Interfaces and Extended Reality Experiments. J. Open Source Softw. 9(94): 5854 (2024) - [j48]Xiaoxiao Sun
Circular Clustering With Polar Coordinate Reconstruction. IEEE ACM Trans. Comput. Biol. Bioinform. 21(5): 1591-1600 (2024) - [c58]Sharath C. Koorathota
Gaze-Informed Vision Transformers: Predicting Driving Decisions Under Uncertainty. ICMI Companion 2024: 184-194 - [i15]Zhengran Ji, Lingyu Zhang, Paul Sajda, Boyuan Chen:
Enabling Multi-Robot Collaboration from Single-Human Guidance. CoRR abs/2409.19831 (2024) - 2023
- [j47]Hengda He
Pupillary response is associated with the reset and switching of functional brain networks during salience processing. PLoS Comput. Biol. 19(5) (2023) - [c57]Linbi Hong
Capturing Interactions between Arousal and Cortical Dynamics with Simultaneous Pupillometry and EEG-fMRI. ACIIW 2023: 1-8 - [c56]Ray Lee, Joshua Friedman, Paul Sajda, Nim Tottenham:
Reciprocal Dyadic Affective Interaction: from Facial Expressions to Brain Networks. ACIIW 2023: 1-8 - [c55]Xueqing Liu, Paul Sajda:
Fusing Simultaneously Acquired EEG and fMRI via Hierarchical Deep Transcoding. BI 2023: 57-67 - [c54]Xueqing Liu, Paul Sajda:
Unsupervised Sparse-View Backprojection via Convolutional and Spatial Transformer Networks. BI 2023: 308-317 - [c53]Xueqing Liu, Paul Sajda:
Latent Neural Source Recovery via Transcoding of Simultaneous EEG-fMRI. BI 2023: 318-330 - [c52]Xueqing Liu, Paul Sajda:
Roe: A Computational-Efficient Anti-hallucination Fine-Tuning Technology for Large Language Model Inspired by Human Learning Process. BI 2023: 456-463 - [c51]Jia Li Ma
Neurophysiological Predictors of Self-Reported Difficulty in a Virtual-Reality Driving Scenario. EMBC 2023: 1-4 - [i14]Arunesh Mittal, Kai Yang, Paul Sajda, John Paisley:
Bayesian Beta-Bernoulli Process Sparse Coding with Deep Neural Networks. CoRR abs/2303.08230 (2023) - [i13]Sharath C. Koorathota, Nikolas Papadopoulos, Jia Li Ma, Shruti Kumar, Xiaoxiao Sun
Fixating on Attention: Integrating Human Eye Tracking into Vision Transformers. CoRR abs/2308.13969 (2023) - [i12]Xiaoxiao Sun
Circular Clustering with Polar Coordinate Reconstruction. CoRR abs/2309.08757 (2023) - 2022
- [c50]Arunesh Mittal, John Paisley, Paul Sajda:
Deep Metric Representation Learning for Clinical Resting State fMRI. EMBC 2022: 1-4 - [c49]Sharath C. Koorathota, Zain Khan, Pawan Lapborisuth, Paul Sajda:
Multimodal Neurophysiological Transformer for Emotion Recognition. EMBC 2022: 3563-3567 - [c48]Kaveri A. Thakoor, Ari Carter, Ge Song, Adam Wax, Omar Moussa, Royce W. S. Chen, Christine Hendon, Paul Sajda:
Enhancing Portable OCT Image Quality via GANs for AI-Based Eye Disease Detection. DeCaF/FAIR@MICCAI 2022: 155-167 - [c47]Yinuo Qin, Weijia Zhang, Richard Lee, Xiaoxiao Sun
Predictive Power of Pupil Dynamics in a Team Based Virtual Reality Task. VR Workshops 2022: 592-593 - [d2]Kaveri A. Thakoor, Sharath C. Koorathota, Donald C. Hood, Paul Sajda:
Robust and Interpretable Convolutional Neural Networks to Detect Glaucoma in Optical Coherence Tomography Images. IEEE DataPort, 2022 - [i11]Xueqing Liu, Tao Tu, Paul Sajda:
Inferring latent neural sources via deep transcoding of simultaneously acquired EEG and fMRI. CoRR abs/2212.02226 (2022) - 2021
- [j46]Kanika Bansal, Javier O. Garcia, Nina Lauharatanahirun, Sarah Feldt Muldoon, Paul Sajda, Jean M. Vettel:
Scale-specific dynamics of high-amplitude bursts in EEG capture behaviorally meaningful variability. NeuroImage 241: 118425 (2021) - [j45]Josef Faller, Andrew Goldman, Yida Lin, James R. McIntosh, Paul Sajda:
Spatiospectral brain networks reflective of improvisational experience. NeuroImage 242: 118458 (2021) - [j44]James R. McIntosh
Ballistocardiogram Artifact Reduction in Simultaneous EEG-fMRI Using Deep Learning. IEEE Trans. Biomed. Eng. 68(1): 78-89 (2021) - [j43]Kaveri A. Thakoor
Robust and Interpretable Convolutional Neural Networks to Detect Glaucoma in Optical Coherence Tomography Images. IEEE Trans. Biomed. Eng. 68(8): 2456-2466 (2021) - [c46]Sharath C. Koorathota, Patrick Adelman, Kelly Cotton, Paul Sajda:
Editing Like Humans: A Contextual, Multimodal Framework for Automated Video Editing. CVPR Workshops 2021: 1701-1709 - [c45]Kaveri A. Thakoor, Darius Bordbar, Jiaang Yao
Hybrid 3d-2d Deep Learning For Detection Of Neovascularage-Related Macular Degeneration Using Optical Coherence Tomography B-Scans And Angiography Volumes. ISBI 2021: 1600-1604 - [i10]Sharath C. Koorathota, Arunesh Mittal, Richard P. Sloan, Paul Sajda:
Improving Prediction of Cognitive Performance using Deep Neural Networks in Sparse Data. CoRR abs/2112.14314 (2021) - 2020
- [c44]Sharath C. Koorathota, Kaveri A. Thakoor, Patrick Adelman, Yaoli Mao
Sequence Models in Eye Tracking: Predicting Pupil Diameter During Learning. ETRA Adjunct 2020: 32:1-32:3 - [c43]Iretiayo Akinola, Zizhao Wang, Junyao Shi, Xiaomin He, Pawan Lapborisuth, Jingxi Xu, David Watkins-Valls, Paul Sajda, Peter K. Allen:
Accelerated Robot Learning via Human Brain Signals. ICRA 2020: 3799-3805 - [i9]Xueqing Liu, Paul Sajda:
Unsupervised Sparse-view Backprojection via Convolutional and Spatial Transformer Networks. CoRR abs/2006.01658 (2020) - [i8]Xueqing Liu, Linbi Hong, Paul Sajda:
Latent neural source recovery via transcoding of simultaneous EEG-fMRI. CoRR abs/2010.02167 (2020) - [i7]Arunesh Mittal, Paul Sajda, John W. Paisley:
Deep Bayesian Nonparametric Factor Analysis. CoRR abs/2011.04770 (2020) - [i6]Arunesh Mittal, Scott W. Linderman, John W. Paisley, Paul Sajda:
Bayesian recurrent state space model for rs-fMRI. CoRR abs/2011.07365 (2020)
2010 – 2019
- 2019
- [c42]Tao Tu, Paul Sajda:
Simultaneous EEG-fMRI Study Reveals Separate Bias Mechanisms Modulated by Stimulus Evidence During Rapid Face Processing. EMBC 2019: 189-193 - [c41]Kaveri A. Thakoor, Xinhui Li
Enhancing the Accuracy of Glaucoma Detection from OCT Probability Maps using Convolutional Neural Networks. EMBC 2019: 2036-2040 - [c40]Pawan Lapborisuth, Josef Faller, Jonathan Koss, Nicholas R. Waytowich, Jonathan Touryan, Paul Sajda:
Investigating Evoked EEG Responses to Targets Presented in Virtual Reality. EMBC 2019: 5536-5539 - [c39]Xueqing Liu, Paul Sajda:
A Convolutional Neural Network for Transcoding Simultaneously Acquired EEG-fMRI Data. NER 2019: 477-482 - [c38]Josef Faller, Yida Lin, Jayce Doose, Golbarg T. Saber, James R. McIntosh, Joshua B. Teves, Robin I. Goldman, Mark S. George
An EEG-fMRI-TMS instrument to investigate BOLD response to EEG guided stimulation. NER 2019: 1054-1057 - [c37]Tao Tu, John W. Paisley, Stefan Haufe, Paul Sajda:
A state-space model for inferring effective connectivity of latent neural dynamics from simultaneous EEG/fMRI. NeurIPS 2019: 4664-4673 - [d1]Josef Faller
Regulation of arousal via online neurofeedback improves human performance in a demanding sensory-motor task. IEEE DataPort, 2019 - [i5]Iretiayo Akinola, Zizhao Wang, Junyao Shi, Xiaomin He, Pawan Lapborisuth, Jingxi Xu, David Watkins-Valls, Paul Sajda, Peter K. Allen:
Accelerated Robot Learning via Human Brain Signals. CoRR abs/1910.00682 (2019) - 2018
- [j42]Ioannis Delis
Correlation of neural activity with behavioral kinematics reveals distinct sensory encoding and evidence accumulation processes during active tactile sensing. NeuroImage 175: 12-21 (2018) - [j41]Jacek P. Dmochowski, Jason J. Ki, Paul DeGuzman, Paul Sajda, Lucas C. Parra:
Extracting multidimensional stimulus-response correlations using hybrid encoding-decoding of neural activity. NeuroImage 180(Part): 134-146 (2018) - [j40]Jordan Muraskin, Truman R. Brown, Jennifer M. Walz
A multimodal encoding model applied to imaging decision-related neural cascades in the human brain. NeuroImage 180(Part): 211-222 (2018) - [c36]Reinhold Scherer
EEG-based Endogenous Online Co-Adaptive Brain-Computer Interfaces: Strategy for Success? CEEC 2018: 299-304 - [c35]Tao Tu, Jonathan Koss, Paul Sajda:
Relating Deep Neural Network Representations to EEG-fMRI Spatiotemporal Dynamics in a Perceptual Decision-Making Task. CVPR Workshops 2018: 1985-1991 - [c34]Ioannis Delis, Jacek P. Dmochowski, Paul Sajda, Qi Wang:
Correlations of Neural Activity with Behavioral Kinematics during Active Tactile Decision Making. SETN 2018: 25:1-25:7 - [i4]Nicholas R. Waytowich, Vernon Lawhern, Javier O. Garcia, Jennifer Cummings, Josef Faller, Paul Sajda, Jean M. Vettel:
Compact Convolutional Neural Networks for Classification of Asynchronous Steady-state Visual Evoked Potentials. CoRR abs/1803.04566 (2018) - 2017
- [j39]Metin Akay, Paul Sajda, Silvestro Micera
Advanced Technologies for Brain Research [Scanning the Issue]. Proc. IEEE 105(1): 8-10 (2017) - [j38]Jordan Muraskin, Jason Sherwin, Gregory Lieberman, Javier O. Garcia, Timothy D. Verstynen
Fusing Multiple Neuroimaging Modalities to Assess Group Differences in Perception-Action Coupling. Proc. IEEE 105(1): 83-100 (2017) - [c33]Clemens Brunner, Yida Lin, Paul Sajda, Josef Faller:
Sigviewer - current Status and Recent Developments. GBCIC 2017 - [c32]Victor Shih, David C. Jangraw, Sameer Saproo, Paul Sajda:
Deep Reinforcement Learning Using Neurophysiological Signatures of Interest. HRI (Companion) 2017: 285-286 - [c31]Paul Sajda:
Keynotes. ICCE 2017: 1-6 - [c30]Shanbao Tong, José C. Príncipe, Lei Ding, Paul Sajda:
Welcome message. NER 2017 - [i3]Yida Lin, Clemens Brunner, Paul Sajda, Josef Faller:
SigViewer: Visualizing Multimodal Signals Stored in XDF (Extensible Data Format) Files. CoRR abs/1708.06333 (2017) - [i2]Victor Shih, David C. Jangraw, Paul Sajda, Sameer Saproo:
Towards personalized human AI interaction - adapting the behavior of AI agents using neural signatures of subjective interest. CoRR abs/1709.04574 (2017) - 2016
- [j37]Sameer Saproo, Josef Faller, Victor Shih, Paul Sajda, Nicholas R. Waytowich, Addison W. Bohannon
Cortically Coupled Computing: A New Paradigm for Synergistic Human-Machine Interaction. Computer 49(9): 60-68 (2016) - [c29]Victor Shih, Ludan Zhang, Christian Kothe, Scott Makeig, Paul Sajda:
Predicting decision accuracy and certainty in complex brain-machine interactions. SMC 2016: 4076-4081 - [c28]Nicholas R. Waytowich, Josef Faller, Javier O. Garcia, Jean M. Vettel, Paul Sajda:
Unsupervised adaptive transfer learning for Steady-State Visual Evoked Potential brain-computer interfaces. SMC 2016: 4135-4140 - [c27]Josef Faller, Sameer Saproo, Victor Shih, Paul Sajda:
Closed-loop regulation of user state during a boundary avoidance task. SMC 2016: 4160-4164 - 2015
- [j36]Jason Samuel Sherwin, Jordan Muraskin
Pre-stimulus functional networks modulate task performance in time-pressured evidence gathering and decision-making. NeuroImage 111: 513-525 (2015) - [j35]Jennifer M. Walz
Prestimulus EEG alpha oscillations modulate task-related fMRI BOLD responses to auditory stimuli. NeuroImage 113: 153-163 (2015) - [j34]Jordan Muraskin
Knowing when not to swing: EEG evidence that enhanced perception-action coupling underlies baseball batter expertise. NeuroImage 123: 1-10 (2015) - 2014
- [j33]Daniel Rosenthal, Paul DeGuzman, Lucas C. Parra, Paul Sajda:
Evoked Neural Responses to Events in Video. IEEE J. Sel. Top. Signal Process. 8(3): 358-365 (2014) - [j32]Bin Lou
Prestimulus alpha power predicts fidelity of sensory encoding in perceptual decision making. NeuroImage 87: 242-251 (2014) - [j31]Jennifer M. Walz
Simultaneous EEG-fMRI reveals a temporal cascade of task-related and default-mode activations during a simple target detection task. NeuroImage 102: 229-239 (2014) - [c26]Paul Sajda:
Neural Correlates of Spatiotemporal Event Recognition: Application to Brain-Computer Interfaces for Video Exploitation. PIVP@MM 2014: 1 - [c25]John R. Zhang, Jason Sherwin, Jacek Dmochowski, Paul Sajda, John R. Kender:
Correlating Speaker Gestures in Political Debates with Audience Engagement Measured via EEG. ACM Multimedia 2014: 387-396 - 2013
- [j30]Jordan Muraskin
Prospective active marker motion correction improves statistical power in BOLD fMRI. NeuroImage 68: 154-161 (2013) - [j29]Bin He
Grand Challenges in Mapping the Human Brain: NSF Workshop Report. IEEE Trans. Biomed. Eng. 60(11): 2983-2992 (2013) - [c24]David C. Jangraw, Paul Sajda:
Feature selection for gaze, pupillary, and EEG signals evoked in a 3D environment. GazeIn@ICMI 2013: 45-50 - [i1]Bryan R. Conroy, Jennifer M. Walz, Brian Cheung, Paul Sajda:
Fast Simultaneous Training of Generalized Linear Models (FaSTGLZ). CoRR abs/1307.8430 (2013) - 2012
- [j28]Marcel Worring
Where Is the User in Multimedia Retrieval? IEEE Multim. 19(4): 6-10 (2012) - [c23]Bryan R. Conroy, Paul Sajda:
Fast, Exact Model Selection and Permutation Testing for l2-Regularized Logistic Regression. AISTATS 2012: 246-254 - 2011
- [j27]Mohamad Sawan, Pedram Mohseni, Paul Sajda, Justin C. Sanchez:
Guest Editorial Special Issue on Brain-Machine Interface. IEEE J. Emerg. Sel. Topics Circuits Syst. 1(4): 437-439 (2011) - 2010
- [j26]Christoforos Christoforou, Robert M. Haralick, Paul Sajda, Lucas C. Parra:
Second-Order Bilinear Discriminant Analysis. J. Mach. Learn. Res. 11: 665-685 (2010) - [j25]Jianing Shi, Wotao Yin, Stanley J. Osher, Paul Sajda:
A Fast Hybrid Algorithm for Large-Scale l1-Regularized Logistic Regression. J. Mach. Learn. Res. 11: 713-741 (2010) - [j24]Jacek P. Dmochowski, Paul Sajda, Lucas C. Parra:
Maximum Likelihood in Cost-Sensitive Learning: Model Specification, Approximations, and Upper Bounds. J. Mach. Learn. Res. 11: 3313-3332 (2010) - [j23]Paul Sajda, Eric Pohlmeyer, Jun Wang, Lucas C. Parra, Christoforos Christoforou
In a Blink of an Eye and a Switch of a Transistor: Cortically Coupled Computer Vision. Proc. IEEE 98(3): 462-478 (2010) - [p1]Paul Sajda, Eric Pohlmeyer, Jun Wang, Barbara Hanna, Lucas C. Parra, Shih-Fu Chang:
Cortically-Coupled Computer Vision. Brain-Computer Interfaces 2010: 133-148
2000 – 2009
- 2009
- [j22]Robin Goldman, Cheng-Yu Wei, Marios G. Philiastides, Adam D. Gerson, David Friedman, Truman R. Brown, Paul Sajda:
Single-trial discrimination for integrating simultaneous EEG and fMRI: Identifying cortical areas contributing to trial-to-trial variability in the auditory oddball task. NeuroImage 47(1): 136-147 (2009) - [j21]Mads Dyrholm, Robin Goldman, Paul Sajda, Truman R. Brown:
Removal of BCG Artifacts Using a Non-Kirchhoffian Overcomplete Representation. IEEE Trans. Biomed. Eng. 56(2): 200-204 (2009) - [c22]Jun Wang, Eric Pohlmeyer, Barbara Hanna, Yu-Gang Jiang, Paul Sajda, Shih-Fu Chang:
Brain state decoding for rapid image retrieval. ACM Multimedia 2009: 945-954 - 2008
- [j20]Paul Sajda, Klaus-Robert Müller
Brain-Computer Interfaces [from the guest editors]. IEEE Signal Process. Mag. 25(1): 16-17 (2008) - [j19]Lucas C. Parra, Christoforos Christoforou
Spatiotemporal Linear Decoding of Brain State. IEEE Signal Process. Mag. 25(1): 107-115 (2008) - 2007
- [c21]Christoforos Christoforou, Paul Sajda, Lucas C. Parra:
Second Order Bilinear Discriminant Analysis for single trial EEG analysis. NIPS 2007: 313-320 - 2006
- [j18]Qi Zhao, Radka Stoyanova, Shuyan Du, Paul Sajda, Truman R. Brown:
HiRes - a tool for comprehensive assessment and interpretation of metabolomic data. Bioinform. 22(20): 2562-2564 (2006) - [j17]Marios G. Philiastides, Paul Sajda:
Causal Influences in the Human Brain During Face Discrimination: A Short-Window Directed Transfer Function Approach. IEEE Trans. Biomed. Eng. 53(12): 2602-2605 (2006) - [j16]Clay Spence, Lucas C. Parra, Paul Sajda:
Varying complexity in tree-structured image distribution models. IEEE Trans. Image Process. 15(2): 319-330 (2006) - [c20]An Luo, Paul Sajda:
Using Single-Trial EEG to Estimate the Timing of Target Onset During Rapid Serial Visual Presentation. EMBC 2006: 79-82 - [c19]Armen R. Kherlopian, Joseph Gerrein, Minerva Yue, Kristina E. Kim, Ji Won Kim, Madhav Sukumaran, Paul Sajda:
Electrooculogram based system for computer control using a multiple feature classification model. EMBC 2006: 1295-1298 - [c18]Jianing Shi, Jim Wielaard, Paul Sajda:
Analysis of a Gain Control Model of V1: Is the Goal Redundancy Reduction? EMBC 2006: 4991-4994 - [c17]Akaysha C. Tang, Matthew T. Sutherland
Classifying Single-Trial ERPs from Visual and Frontal Cortex during Free Viewing. IJCNN 2006: 1376-1383 - 2005
- [j15]Paul Sajda, Yehoshua Y. Zeevi:
Guest editorial: Special issue on blind source separation and de-convolution in imaging and image processing. Int. J. Imaging Syst. Technol. 15(1): 1 (2005) - [j14]Lucas C. Parra, Clay D. Spence, Adam D. Gerson, Paul Sajda:
Recipes for the linear analysis of EEG. NeuroImage 28(2): 326-341 (2005) - [j13]Adam D. Gerson, Lucas C. Parra, Paul Sajda:
Cortical origins of response time variability during rapid discrimination of visual objects. NeuroImage 28(2): 342-353 (2005) - [c16]Jim Wielaard, Paul Sajda:
Neural mechanisms of contrast dependent receptive field size in V1. NIPS 2005: 1505-1512 - 2004
- [j12]Paul Sajda, Kyungim Baek:
Integration of form and motion within a generative model of visual cortex. Neural Networks 17(5-6): 809-821 (2004) - [j11]Paul Sajda, Shuyan Du, Truman R. Brown, Radka Stoyanova, Dikoma C. Shungu
Nonnegative matrix factorization for rapid recovery of constituent spectra in magnetic resonance chemical shift imaging of the brain. IEEE Trans. Medical Imaging 23(12): 1453-1465 (2004) - [c15]Shuyan Du, Paul Sajda, Xiangling Mao, Dikoma C. Shungu:
Multi-Resolution Hierarchical Blind Recovery of Biochemical Markers of Brain Cancer In MRSI. ISBI 2004: 233-236 - [c14]An Luo, Paul Sajda, Adam D. Gerson:
Comparison of Supervised And Unsupervised Linear Methods for Recovering Task-Relevant Activity In EEG. ISBI 2004: 1012-1015 - [c13]Shuyan Du, Xiangling Mao, Dikoma C. Shungu
Blind recovery of biochemical markers of brain cancer in MRSI. Medical Imaging: Image Processing 2004 - 2003
- [j10]Lucas C. Parra, Christopher V. Alvino, Akaysha C. Tang, Barak A. Pearlmutter
Single-trial detection in EEG and MEG: Keeping it linear. Neurocomputing 52-54: 177-183 (2003) - [j9]Lucas C. Parra, Paul Sajda:
Blind Source Separation via Generalized Eigenvalue Decomposition. J. Mach. Learn. Res. 4: 1261-1269 (2003) - [j8]Paul Sajda, Clay Spence, Lucas C. Parra:
A multi-scale probabilistic network model for detection, synthesis and compression in mammographic image analysis. Medical Image Anal. 7(2): 187-204 (2003) - 2002
- [j7]Lucas C. Parra, Christopher V. Alvino, Akaysha C. Tang, Barak A. Pearlmutter
Linear Spatial Integration for Single-Trial Detection in Encephalography. NeuroImage 17(1): 223-230 (2002) - [j6]Paul Sajda, Clay Spence, John C. Pearson:
Learning contextual relationships in mammograms using a pyramid neural network. IEEE Trans. Medical Imaging 21(3): 239-250 (2002) - [c12]Paul Sajda, Clay Spence, Lucas C. Parra:
Capturing contextual dependencies in medical imagery using hierarchical multi-scale models. ISBI 2002: 165-168 - 2000
- [c11]Paul Sajda, Clay Spence, Lucas C. Parra, Robert M. Nishikawa
Hierarchical, Multi-resolution Models for Object Recognition: Applications to Mammographic Computer-aided Diagnosis. AIPR 2000: 159-165 - [c10]Clay Spence, Lucas C. Parra, Paul Sajda:
Hierarchical Image Probability (HIP) Models. ICIP 2000: 320-323 - [c9]Clay D. Spence, Lucas C. Parra, Paul Sajda:
Mammographic mass detection with a hierarchical image probability (HIP) model. Medical Imaging: Image Processing 2000 - [c8]Lucas C. Parra, Clay Spence, Paul Sajda:
Higher-Order Statistical Properties Arising from the Non-Stationarity of Natural Signals. NIPS 2000: 786-792
1990 – 1999
- 1999
- [c7]Lucas C. Parra, Clay Spence, Paul Sajda, Andreas Ziehe, Klaus-Robert Müller:
Unmixing Hyperspectral Data. NIPS 1999: 942-948 - 1998
- [c6]Clay D. Spence, Paul Sajda:
Role of feature selection in building pattern recognizers for computer-aided diagnosis. Medical Imaging: Image Processing 1998 - [c5]Clay Spence, Paul Sajda:
Applications of Multi-Resolution Neural Networks to Mammography. NIPS 1998: 938-944 - 1997
- [j5]Kô Sakai, Paul Sajda, Shih-Cheng Yen, Leif H. Finkel:
Coarse-grain parallel computing for very large scale neural simulations in the NEXUS simulation environment. Comput. Biol. Medicine 27(4): 257-266 (1997) - 1996
- [c4]Paul Sajda, Clay D. Spence, John C. Pearson, Robert M. Nishikawa
Exploiting context in mammograms: a hierarchical neural network for detecting microcalcifications. Medical Imaging: Image Processing 1996 - 1995
- [j4]Paul Sajda, Clay Spence, Steven C. Hsu, John C. Pearson:
Integrating neural networks with image pyramids to learn target context. Neural Networks 8(7-8): 1143-1152 (1995) - [c3]Paul Sajda, Clay Spence, John C. Pearson:
A hierarchical neural network architecture that learns target context: applications to digital mammography. ICIP (3) 1995: 149-151 - 1993
- [c2]Paul Sajda, Leif H. Finkel:
Dual Mechanisms for Neural Binding and Segmentation. NIPS 1993: 993-1000 - 1992
- [j3]Leif H. Finkel, Paul Sajda:
Object Discrimination Based on Depth-from-Occlusion. Neural Comput. 4(6): 901-921 (1992) - [j2]Paul Sajda, Leif H. Finkel:
Simulating biological vision with hybrid neural networks. Simul. 59(1): 47-55 (1992) - [j1]Paul Sajda, Leif H. Finkel:
NEXUS: A simulation environment for large-scale neural systems. Simul. 59(6): 358-364 (1992) - [c1]Paul Sajda, Leif H. Finkel:
Object segmentation and binding within a biologically-based neural network model of depth-from-occlusion. CVPR 1992: 688-691
Coauthor Index
Clay Spence
aka: Clay D. Spence
aka: Clay D. Spence
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