LIINC Lab Publications

2020

• Thakoor, K., Tsamis, E., C.G., D. M., Sajda, P., Hood, D. C. (2020). Impact of Reference Standard, Data Augmentation, and OCT Input on Glaucoma Detection Accuracy by CNNs on a New Test Set. Investigative Ophthalmology and Visual Science, 61(7), 4540-4540.
• Koorathota, S., Thakoor, K., Adelman, P., Mao, Y., Liu, X., Sajda, P. (2020). Sequence Models in Eye Tracking: Predicting Pupil Diameter During Learning. ACM Symposium on Eye Tracking Research and Applications, 32,1-3.
• Koorathota, S., Sajda, P., Liu, G., Lachman, M., Sloan, R. (2020). Deep Learning Methods to Predict Cognitive Performance in Midlife. Psychosomatic Medicine, 82 (2).

2019

• Thakoor, K., Li, X., Tsamis, E., Sajda, P., Hood, D. C. (2019). Enhancing the Accuracy of Glaucoma Detection from OCT Probability Maps using Convolutional Neural Networks. 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2019, pp. 2036-2040.
• Thakoor, K., Zheng, Q., Nan, L., Li, X., Tsamis, E., Rajshekhar, R., Dwivedi, I., Drori, I., Sajda, P., Hood, D. C. (2019). Assessing the Ability of Convolutional Neural Networks to Detect Glaucoma from OCT Probability Maps. Investigative Ophthalmology and Visual Science, 60(9), pp.1464-1464.
• Faller, J., Cummings, J. A., Saproo, S., Sajda, P. (2019). Regulation of arousal via online neurofeedback improves human performance in a demanding sensory-motor task. PNAS, www.pnas.org/cgi/doi/10.1073/pnas.1817207116.

2018

• Muraskin, J., Brown, T. R., Walz, J., Tu, T., Goldman, R., Conroy, B., Sajda, P. (2018). A multimodal encoding model applied to imaging decision-related neural cascades in the human brain. Neuroimage, 180(Part A), 211-222.
• Saber, G., McIntosh, J., Doose, J., Faller, J., Lin, Y., Moss, H., Goldman, R., George, M., Sajda, P., Brown, T. R. (2018). Level of TMS-evoked activation in anterior cingulate cortex depends on timing of TMS delivery relative to frontal alpha phase. Joint Annual Meeting ISMRM-ESMRMB, Paris, France, June 16-21, 2018.
• Waytowich, N., Lawhern, V., Garcia, J., Cummings, J. A., Faller, J., Sajda, P., Vettel, J. (2018). Compact Convolutional Neural Networks for Classification of Asynchronous Steady-state Visual Evoked Potentials. arXiv preprint, arXiv:1803.04566v1, 2018.
• Delis, I., Dmochowski, J., Sajda, P., Wang, Q. (2018). Correlation of neural activity with behavioral kinematics reveals distinct sensory encoding and evidence accumulation processes during active tactile sensing. NeuroImage, 2018, doi: 10.1016/j.neuroimage.2018.03.035..
• Tu, T., Koss, J., Sajda, P. (2018). Relating deep neural network representations to EEG-fMRI spatiotemporal dynamics in a perceptual decision-making task. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 1985-1991.
• Lin, Y. (2018). An EEG-fMRI-TMS system for investigating BOLD response to alpha phase-locked TMS. 2018 IEEE Brain Initiative Workshop on Advanced NeuroTechnologies.
• Delis, I., A, R., Sajda, P., Wang, Q. (2018). Information-Theoretic Characterization of the Neural Mechanisms of Active Multisensory Decision Making. ICNR 2018: Converging Clinical and Engineering Research on Neurorehabilitation III ,584-588.
• Schneck, N., Tu, T., Bonanno, G. A., Shear, M. K., Sajda, P., Mann, J. J. (2018). Self-generated Unconscious Processing of Loss Linked to Less Severe Grieving. Biological Psychiatry: Cognitive Neuroscience and Neuroimaging in press.

2017

• Tu, T., Schneck, N., Muraskin, J., Sajda, P. (2017). Network configurations in the human brain reflect choice-bias during rapid face processing. Journal of Neuroscience,1677-17.
• Lin, Y., Brunner, C., Sajda, P., Faller, J. (2017). SigViewer: Visualizing Multimodal Signals Stored in XDF (Extensible Data Format) Files*. arXiv preprint, arXiv:1708.06333, 2017.
• Schneck, N., Tu, T., Michel, C. A., Bonanno, G. A., Sajda, P., Mann, J. J. (2017). Attentional Bias to Reminders of the Deceased as Compared to a Living Attachment in Grieving. Biological Psychiatry: Cognitive Neuroscience and Neuroimaging.
• Chang, S., Wang, J., Sajda, P., Pohlmeyer, E., Hanna, B., Jangraw, D. (2017). Rapid image annotation via brain state decoding and visual pattern mining. US Patent 9665824 B2.
• Sajda, P. (2017). Your eyes give you away: pupillary responses, EEG dynamics, and applications for BCI. Proc. SPIE 10194, Micro- and Nanotechnology Sensors, Systems, and Applications IX, 101941M, Anaheim, CA, Apr 9, 2017.
• Faller, J., Hong, L., Cummings, J. A., Sajda, P. (2017). A comparison of single-trial EEG classification and EEGinformed fMRI across three MR compatible EEG recording systems. arXiv preprint, 2017.
• Shih, V., Jangraw, D., Saproo, S., Sajda, P. (2017). Deep Reinforcement Learning Using Neurophysiological Signatures of Interest. HRI '17 Proceedings of the Companion of the 2017 ACM/IEEE International Conference on Human-Robot Interaction, 285-286.
• George, M., Brown, T. R., Muraskin, J., Saber, G., Doose, J., Moss, H., Goldman, R., Sajda, P. (2017). Combined EEG/TMS/fMRI studies asking whether phase matters. Brain Stimulation: Basic, Translational, and Clinical Research in Neuromodulation, 10(2), 377.
• Dmochowski, J., Ki, J., DeGuzman, P., Sajda, P., Parra, L. (2017). Extracting multidimensional stimulus-response correlations using hybrid encoding-decoding of neural activity. NeuroImage.
• Schneck, N., Haufe, S., Tu, T., Bonanno, G. A., Ochsner, K. N., Sajda, P., Mann, J. J. (2017). Tracking Deceased-Related Thinking With Neural Pattern Decoding of a Cortical-Basal Ganglia Circuit.
• Brunner, C., Lin, Y., Sajda, P., Faller, J. (2017). SigViewer – Current Status and Recent Developments. 7th Graz Brain-Computer Interface Conference 2017, Graz, Austria, Sep 18 – 22, 2017.
• McIntosh, J., Faller, J., Saber, G., Doose, J., Lin, Y., Moss, H., Goldman, R., George, M., Sajda, P., Brown, T. R. (2017). Development of an EEG-fMRI-TMS system for optimal alpha phase synchronized activation of anterior cingulate cortex. 4th Annual New York Metro Imaging Research Symposium, New York, NY, Nov 30, 2017..
• Akay, M., Sajda, P., Micera, S., Carmena, J. M. (2017). Advanced Technologies for Brain Research [Scanning the Issue]. Proceedings of the IEEE, 105(1), 8-10.
• Lance, B., Touryan, J., Wang, Y., Lu, S., Chuang, C., Khooshabeh, P., Sajda, P., Marathe, A. R., Jung, T., Lin, C., McDowell, K. (2017). Towards Serious Games for Improved BCI. Handbook of Digital Games and Entertainment Technologies, 197-224.
• Sherwin, J., Muraskin, J., Lieberman, G., Garcia, J., Verstynen, T., Vettel, J., Sajda, P. (2017). Fusing multiple neuroimaging modalities to assess group differences in perception-action coupling. Proceedings of the IEEE, 105(1), 83-100.

2016

• Saproo, S., Faller, J., Shih, V., Waytowich, N., Lance, B., Sajda, P. (2016). Cortically Coupled Computing: A New Paradigm for Synergistic Human-Machine Interaction. IEEE Computer 49 (9), 60 - 68.
• Waytowich, N., Faller, J., Garcia, J., Vettel, J., Sajda, P. (2016). Unsupervised Adaptive Transfer Learning for Steady-State Visual Evoked Potential Brain-Computer Interfaces. 2016 IEEE International Conference on Systems, Man, and Cybernetics, Budapest, Hungary, Oct. 9-12, 2016.
• Muraskin, J., Dodhia, S., Lieberman, G., Garcia, J., Verstynen, T., Vettel, J., Sherwin, J., Sajda, P. (2016). Brain Dynamics of Post-Task Resting State are Influenced by Expertise: Insights From Baseball Players. Human Brain Mapping, 37, 4454–4471.
• Saproo, S., Shih, V., Jangraw, D., Sajda, P. (2016). Neural mechanisms underlying catastrophic failure in human–machine interaction during aerial navigation. Journal of Neural Engineering, 13(6), 066005.
• Waytowich, N., Lawhern, V., Bohannon, A., Ball, K., Lance, B. (2016). Spectral Transfer Learning Using Information Geometry for a User-Independent Brain-Computer Interface. Frontiers in Neuroscience, 10(430).
• Dmochowski, J., Ki, J., DeGuzman, P., Sajda, P., Parra, L. (2016). Multidimensional stimulus-response correlation reveals supramodal neural responses to naturalistic stimuli. bioRxiv, 077230; doi: https://doi.org/10.1101/077230.
• Muraskin, J., Brown, T. R., Walz, J., Conroy, B., Goldman, R., Sajda, P. (2016). Imaging decision-related neural cascades in the human brain. bioRxiv, 050856; doi: https://doi.org/10.1101/050856.
• Muraskin, J., Sherwin, J., Sajda, P. (2016). Systems and Methods for Identifying and Tracking Neural Correlates of Baseball Pitch Trajectories. US Patent App. 14/612,233.

2015

• Muraskin, J., Sherwin, J., Sajda, P. (2015). Knowing when not to swing: EEG evidence that enhanced perception–action coupling underlies baseball batter expertise. NeuroImage, 123, 1-10.
• Lou, B., Hsu, W., Sajda, P. (2015). Perceptual Salience and Reward Both Influence Feedback-Related Neural Activity Arising from Choice. J. Neurosci, 35 (38), 13064-13075.
• Walz, J., Goldman, R., Carapezza, M., Muraskin, J., Brown, T. R., Sajda, P. (2015). Prestimulus EEG alpha oscillations modulate task-related fMRI BOLD responses to auditory stimuli. NeuroImage, 113, 153–163.
• Sherwin, J., Muraskin, J., Sajda, P. (2015). Pre-stimulus functional networks modulate task performance in time-pressured evidence gathering and decision-making. NeuroImage, 111, 513-525.
• Tong, Y., Ami, T. B., Johri, A., Post, R., Ablonczy, Z., Sajda, P., Curcio, C., Ach, T., Smith, T. (2015). Hyperspectral Autofluorescence (AF) Characterization of Drusen in Donor Eyes with Age-Related Macular Degeneration (AMD). Investigative Ophthalmology & Visual Science, 56(7), 3956.
• Ami, T. B., Tong, Y., Sajda, P., Ablonczy, Z., Curcio, C., Smith, T., Ach, T. (2015). Ex Vivo Hyperspectral Autofluorescence (AF) Imaging of Retinal Pigment Epithelium (RPE) in Human Donor Eyes with Age-related Macular Degeneration (AMD). Investigative Ophthalmology & Visual Science, 56(7), 4369.

2014

• Walz, J., Goldman, R., Carapezza, M., Muraskin, J., Brown, T. R., Sajda, P. (2014). Simultaneous EEG-fMRI Reveals a Temporal Cascade of Task-Related and Default-Mode Activations During a Simple Target Detection Task. NeuroImage, 102 pt. 1, 229-39.
• Philiastides, M., Heekeren, H. R., Sajda, P. (2014). Human Scalp Potentials Reflect a Mixture of Decision-Related Signals during Perceptual Choices. The Journal of Neuroscience, 34(50), 16877-16889; doi: 10.1523/JNEUROSCI.3012-14.2014.
• Sajda, P., Lou, B., Li, Y., Philiastides, M. (2014). Prestimulus alpha power predicts fidelity of sensory encoding in perceptual decision making. NeuroImage Feb 15; 87, 242-51.
• Hong, L., Walz, J., Sajda, P. (2014). Your eyes give you away: prestimulus changes in pupil diameter correlate with poststimulus task-related EEG dynamics. PLoS ONE 9(3), e91321.
• Sajda, P., Jangraw, D. (2014). Neurally and ocularly informed graph-based models for searching 3D environments. Journal of Neural Engineering, 11(4), 046003.
• Rosenthal, D., DeGuzman, P., Parra, L., Sajda, P. (2014). Evoked Neural Responses to Events in Video. IEEE Journal of Selected Topics in Signal Processing, 8(3), 358-365.
• Jangraw, D., Johri, A., Gribetz, M., Sajda, P. (2014). NEDE: An Open-Source Scripting Suite for Developing Experiments in 3D Virtual Environments. Journal of Neuroscience Methods, 235 (2014), 245–251.
• Smith, R., Post, R., Johri, A., Lee, M., Ablonczy, Z., Curcio, C., Ach, T., Sajda, P. (2014). Simultaneous decomposition of multiple hyperspectral data sets: signal recovery of unknown fluorophores in the retinal pigment epithelium. Biomed. Opt. Express , 5, 4171-4185.
• Sajda, P. (2014). Neural Correlates of Spatiotemporal Event Recognition: Application to Brain-Computer Interfaces for Video Exploitation. PIVP '14 Proceedings of the 1st International Workshop on Perception Inspired Video Processing, Orlando, Florida, Nov. 7, 2014, 1.
• Sajda, P., Parra, L. (2014). Single Trial detection in encephalography. US Patent 8,731,650.
• Nabati, C., Johri, A., Post, R., Sajda, P., Ach, T., Curcio, C., Smith, T. (2014). Quantitation of Hyperspectral Autofluorescence (AF) from Human Retinal Pigment Epithelium (RPE) Ex Vivo. Investigative Ophthalmology & Visual Science April 2014 , 55(13), 3844.
• Johri, A., Post, R., Ganti, B., Fawzi, A. A., Sajda, P., Ach, T., Curcio, C., Smith, T. (2014). Mathematical modeling of retinal pigment epithelium (RPE) autofluorescence (AF) with Gaussian mixture models and non-negative matrix factorization (NMF). Investigative Ophthalmology & Visual Science April 2014, 55(13), 3827.
• Fatoo, A., Johri, A., Post, R., Sajda, P., Curcio, C., Ach, T., Smith, T. (2014). Hyperspectral image analysis of ex vivo autofluorescence (AF) of human Bruch’s membrane (BrM). Investigative Ophthalmology & Visual Science, 55 (13), 3845.
• Agarwal, K., Post, R., Johri, A., Cowley, A., Sajda, P., Ach, T., Curcio, C., Smith, T. (2014). Hyperspectral Imaging Evidence for Four Abundant Retinal Pigment Epithelium (RPE) Fluorophors Across Age and Retinal Location. Investigative Ophthalmology & Visual Science, 55 (13), 5242.
• Post, R., Johri, A., Ganti, B., Sajda, P., Ach, T., Curcio, C., Smith, T. (2014). Simultaneous decomposition of multiple retinal pigment epithelium (RPE) autofluorescence hyperspectral datasets for fluorophor discovery. Investigative Ophthalmology & Visual Science, 55 (13), 263.
• Chang, S., Wang, J., Sajda, P., Pohlmeyer, E., Hanna, B., Jangraw, D. (2014). Rapid image annotation via brain state decoding and visual pattern mining. US Patent App. 14/060,398.
• Zhang, J. R., Sherwin, J., Dmochowski, J., Sajda, P., Kender, J. R. (2014). Correlating Speaker Gestures in Political Debates with Audience Engagement Measured via EEG. Proceedings of the ACM International Conference on Multimedia 2014, Orlando FL., 387-396.
• McDowell, K., Marathe, A. R., Lance, B., Metcalfe, J. S., Sajda, P. (2014). Neuro-Robotic Technologies and Social Interactions. HRI 2014 Workshop a bridge between Robotics and Neuroscience, Osaka, Japan, March 3, 2014.
• Zhang, J. R., Sherwin, J., Dmochowski, J., Sajda, P., Kender, J. R. (2014). Correlating Speaker Gestures in Political Debates with Audience Engagement Measured via EEG. Proceedings of the ACM International Conference on Multimedia 2014, Orlando, FL, Nov 3-7, 2014. 387-396.

2013

• Muraskin, J., Ooi, M., Goldman, R., Krueger, S., Thomas, W., Sajda, P., Brown, T. R. (2013). Prospective active marker motion correction improves statistical power in BOLD fMRI. NeuroImage, (68) 154-161.
• Li, Y., Lou, B., Gao, X., Sajda, P. (2013). Post-stimulus endogenous and exogenous oscillations are differentially modulated by task difficulty.. Front. Hum. Neurosci, 7:9.
• Shi, J., Wielaard, J., Smith, R., Sajda, P. (2013). Perceptual Decision Making “Through the Eyes” of a Large-scale Neural Model of V1. Front. Psychol 4(161).
• Sherwin, J., Sajda, P. (2013). Musical experts recruit action-related neural structures in harmonic anomaly detection: Evidence for embodied cognition in expertise. Brain and Cognition, 83(2), 190-202.
• Walz, J., Goldman, R., Muraskin, J., Sajda, P. (2013). Simultaneous EEG-fMRI Reveals Temporal Evolution of Coupling between Supramodal Cortical Attention Networks and the Brainstem. J Neurosci, 33(49), 19212-22.
• Conroy, B., Walz, J., Sajda, P. (2013). Fast bootstrapping and permutation testing for assessing reproducibility and interpretability of multivariate FMRI decoding models. PLoS One, 8(11), e79271.
• Dias, J., Sajda, P., Dmochowski, J., Parra, L. (2013). EEG precursors of detected and missed targets during free-viewing search. Journal of Vision , November 2013, Vol.13, 13.
• He, B., Coleman, T., Genin, G., Glover, G., Hu, X., Johnson, N., Liu, T., Makeig, S., Sajda, P., Ye, K. (2013). Grand challenges in mapping the human brain: NSF workshop report. IEEE TBME , Nov;60(11), 2983-2992.
• Jing, D., Lu, X., Luo, E., Sajda, P., Leong, P. L., Guo, X. E. (2013). Spatiotemporal properties of intracellular calcium signaling in osteocytic and osteoblastic cell networks under fluid flow. Bone, 53(2), 531-540.
• Luber, B., Jangraw, D., Harrison, A., Sajda, P., Lisanby, S. H. (2013). Using Transcranial Magnetic Stimulation to Elucidate Interactions Between Top-down and Bottom-up Brain Networks in Visual Discrimination. Journal of Cognitive Neuroscience, 206.
• Muraskin, J., Sherwin, J., Sajda, P. (2013). A System for Measuring the Neural Correlates of Baseball Pitch Recognition and Its Potential Use in Scouting and Player Development. MIT Sports Analytics Conference, Boston, MA, March 1-2, 2013.
• Jangraw, D., Sajda, P. (2013). Feature selection for gaze, pupillary, and EEG signals evoked in a 3D environment. GazeIn’13 Proceedings of the 6th workshop on Eye gaze in intelligent human machine interaction: gaze in multimodal interaction, Sydney, Australia, December 13, 2013. 45-50. ACM New York, NY, USA.
• Conroy, B., Muraskin, J., Sajda, P. (2013). Fusing Simultaneous EEG-fMRI by Linking Multivariate Classifiers. NIPS 2013 Workshop on Machine Learning and Interpretation in NeuroImaging (MLINI 2012), Lake Tahoe, NV, Dec 5-10, 2013. Paper 6.

2012

• Sajda, P. (2012). Neural correlates of the time course of the waxing and waning of attention. Front. Psychol. , 2012;3:377. doi: 10.3389/fpsyg.2012.00377.
• Worring, M., Sajda, P., Santini, S., Shamma, D., Smeaton, A., Yang, Q. (2012). Where Is the User in Multimedia Retrieval?. MultiMedia, IEEE, 19(4), 6-10.
• Sherwin, J., Muraskin, J., Sajda, P. (2012). You Can’t Think and Hit at the Same Time: Neural Correlates of Baseball Pitch Classification. Front. Decision Neurosci , 6(177). doi: 10.3389/fnins.2012.00177.
• Sawan, M., Mohseni, P., Sajda, P., Sanchez, J. C. (2012). Guest Editorial Special Issue on Brain–Machine Interface. IEEE Journal on Emerging and Selected Topics in Circuits and Systems, 1(4), 437-439.
• Conroy, B., Sajda, P. (2012). Multivariate Analysis of fMRI using Fast Simultaneous Training of Generalized Linear Models (FaSTGLZ). ICML Workshop on Statistics, Machine Learning and Neuroscience, Edinburgh Scotland, July 1, 2012.
• Conroy, B., Sajda, P. (2012). Fast, Exact Model Selection and Permutation Testing for l2-Regularized Logistic Regression. Proceedings of the 15th International Conference on Artificial Intelligence and Statistics (AISTATS) 2012, La Palma, Canary Islands. Volume 22 of JMLR: W&CP 22. 246-254.
• Dmochowski, J., Sajda, P., Joao, J. D., Parra, L. (2012). Components of ongoing EEG with high correlation point to emotionally-laden attention — a possible marker of engagement?. Frontiers in Human Neuroscience, 6 (00112), doi: 10.3389/fnhum.2012.00112.

2011

• Sajda, P., Philiastides, M., Heekeren, H. R., Ratcliff, R. (2011). Linking neuronal variability to perceptual decision making via neuroimaging. The dynamic brain: an exploration of neuronal variability and its functional significance, 214-232. Ding M, Glanzman DL, eds.
• Dyrholm, M., Sajda, P. (2011). Discriminant Multitaper Component Analysis of EEG. International Symposium on Computational Models for Life Sciences (CMLS-11), Tokyo, Japan, June 22-24, 2011. 171-177.
• Ries, A., Lance, B., Sajda, P. (2011). Leveraging Brain Computer Interaction Technologies for Military Applications. Proceedings of the 2011 Ground Vehicle Systems Engineering and Technology Symposium (GVSETS), 2011.
• Jangraw, D., Sajda, P. (2011). A 3-D Immersive Environment for Characterizing EEG Signatures of Target Detection. IEEE EMBS Conference on Neural Engineering, Cancun MEXICO, April 27-May 1, 2011. 229-232.
• Lou, B., Walz, J., Shi, J., Sajda, P. (2011). Learning EEG Components for Discriminating Multi-Class Perceptual Decisions. IEEE EMBS Conference on Neural Engineering, Cancun MEXICO, April 27-May 1, 2011. 675-678.
• Sajda, P., Pohlmeyer, E. (2011). Closing the loop in cortically-coupled computer vision: a BCI for searching image databases. Journal of Neural Engineering, 8(3), 036025.
• deBettencourt, M., Goldman, R., Brown, T. R., Sajda, P. (2011). Adaptive Thresholding for Improving Sensitivity in Single-Trial Simultaneous EEG/fMRI. Front. Psychology , 2:91. doi: 10.3389/fpsyg.2011.00091.
• Pernet, C., Sajda, P., Rousselet, G. (2011). Single-trial analyses: why bother?. Front. Psychology , 2 (00322) doi: 10.3389/fpsyg.2011.00322.
• Wielaard, J., Sajda, P., Shi, J. (2011). Decoding of simulated neurodynamics predicts the perceptual consequences of age-related macular degeneration. Journal of Vision, 5;11(14):4. doi: 10.1167/11.14.4.

2010

• Liu, X. S., Zhang, X. H., Rajapakse, C. S., Wald, M. J., Magland, J., Sekhon, K. K., Adam, M. F., Sajda, P., Wehrli, F. W., Guo, X. E. (2010). Accuracy of high-resolution in vivo micro magnetic resonance imaging for measurements of microstructural and mechanical properties of human distal tibial bone. Journal of Bone and Mineral Research, 25(9), 2039-2050.
• Fawzi, A. A., Sajda, P., Laine, A., Martin, G., Humayun, M. S., Smith, R. (2010). On Hyperspectral Signatures of Drusen. Investigative Ophthalmology & Visual Science, 51(13), 4934.
• Shi, J., Wielaard, J., Smith, R., Sajda, P. (2010). Coupling Retinal Imaging With Psychophysics to Assess Perceptual Consequences of AMD. Investigative Ophthalmology & Visual Science, 51(13), 1044.
• Sajda, P., Goldman, R., Dyrholm, M., Brown, T. R. (2010). Signal processing and machine learning for single-trial analysis of simultaneously acquired EEG and fMRI. in Statistical signal processing for neuroscience and neurotechnology. Burlington, MA: Academic Press/Elsevier.
• Sajda, P., Pohlmeyer, E., Wang, J., Hanna, B., Parra, L., Chang, S. (2010). Cortically-coupled computer vision. in Brain-Computer Interfaces. London: Springer. 133-148.
• Dmochowski, J., Parra, L., Sajda, P. (2010). Maximum likelihood in cost-sensitive learning: Model specification, approximations, and upper bounds. Journal of Machine Learning Research 11 (Dec), 3313-3332.
• Christoforou, C., Haralick, R., Sajda, P., Parra, L. (2010). The Bilinear Brain: Towards Subject‐Invariant Analysis. 4th International Symposium on Communications Control & Signal Processing, Limassol, Cyprus, March 3-5, 2010, 1-6.
• Pohlmeyer, E., Jangraw, D., Wang, J., Chang, S., Sajda, P. (2010). Combining computer and human vision into a BCI: Can the whole be greater than the sum of its parts?. 32nd Annual International Conference of the IEEE EMBS, Buenos Aires, Argentina, August 31-Sept 4, 2010. 138-141 (invited submission).
• Sajda, P. (2010). Mapping visual stimuli to perceptual decisions via sparse decoding of mesoscopic neural activity. 32nd Annual International Conference of the IEEE EMBS, Buenos Aires, Argentina, August 31-Sept 4, 2010. 4521.
• Lee, N., Wielaard, J., Fawzi, A. A., Sajda, P., Laine, A., Matin, G., Humayun, M. S., Smith, R. (2010). In vivo snapshot hyperspectral image analysis of age-related macular degeneration. 32nd Annual International Conference of the IEEE EMBS, Buenos Aires, ARGENTINA, August 31-Sept 4, 2010. 5363-5366.
• Christoforou, C., Haralick, R., Sajda, P., Parra, L. (2010). Second-Order Bilinear Discriminant Analysis. Journal of Machine Learning Research, 11(Feb), 665-685.
• Sajda, P., Parra, L., Christoforou, C., Hanna, B., Bahlmann, C., Wang, J., Chang, S. (2010). In a Blink of an Eye and a Switch of a Transistor: Cortically-coupled Computer Vision. Proceedings of the IEEE, 98(3), 462-478.
• Sajda, P., Shi, J., Yin, W., Osher, S. (2010). A Fast Hybrid Algorithm for Large Scale l1-Regularized Logistic Regression. Journal of Machine Learning Research, 11(Feb), 713−741.
• Sajda, P., Dmochowski, J. (2010). Weighted Maximum Likelihood is a Nearly Optimal Solution to the Cost-Sensitive Learning Problem. Journal of Machine Learning Research, vol 11, 3313-3332.

2009

• Luo, A., Parra, L., Sajda, P. (2009). We find before we Look: Neural signatures of target detection preceding saccades during visual search. Journal of Vision, 9(8), 1207, 1207a.
• Shi, J., Wielaard, J., Busuioc, M., Smith, R., Sajda, P. (2009). Perceptual Consequences of Macular Disease Evaluated Using a Model of V1. Investigative Ophthalmology & Visual Science, 50(13), 3057.
• Liu, X. S., Bevill, G., Keaveny, T. M., Sajda, P., Guo, X. E. (2009). Micromechanical analyses of vertebral trabecular bone based on individual trabeculae segmentation of plates and rods. Journal of biomechanics, 42(3), 249-256.
• Luo, A., Sajda, P. (2009). Do We See Before We Look?. 4th International IEEE EMBS Conference on Neural Engineering, Antalya TURKEY, April 29-May 2, 2009, 230-233.
• Shi, J., Wielaard, J., Smith, R., Sajda, P. (2009). Perceptual Decision Making Investigated via Sparse Decoding of a Spiking Neuron Model of V1. 4th International IEEE EMBS Conference on Neural Engineering, Antalya TURKEY, April 29-May 2, 2009, 558-561.
• Sajda, P. (2009). Signal processing challenges for single-trial analysis of simultaneous EEG/fMRI. Engineering in Medicine and Biology Society, 2009. EMBC 2009. Conference Proceedings , Minneapolis, MN, September 2-6, 2009, 29-30 (Invited Submission).
• Wang, J., Pohlmeyer, E., Hanna, B., Jiang, Y., Sajda, P., Chang, S. (2009). Brain State Decoding for Rapid Image Retrieval. ACM MultiMedia, Beijing China, 945-954.
• Dyrholm, M., Goldman, R., Sajda, P. (2009). Removal of BCG artifacts using a non-Kirchhoffian overcomplete representation. IEEE Transactions on Biomedical Engineering, 56(2), 200-204.
• Luo, A., Sajda, P. (2009). Comparing neural correlates of visual target detection in serial visual presentations having different temporal correlations. Front. Hum. Neurosci., 3(5), Epub 2009 Apr 21.
• Ratcliff, R., Sajda, P. (2009). Quality of Evidence for Perceptual Decision Making is Indexed by Trial-to-Trial Variability of the EEG. Proceedings of the National Academy of Sciences, 106(16), 6539-6544.
• Goldman, R., Wei, C., Gerson, A., Friedman, D., Sajda, P. (2009). Single-trial discrimination for integrating simultaneous EEG and fMRI: Identifying cortical areas contributing to trial-to-trial variability in the auditory oddball task. NeuroImage, 47(1), 136-147.
• Sajda, P., Parra, L. (2009). Single-trial Analysis of Neuroimaging Data: Inferring Neural Networks Underlying Perceptual, Decision Making in the Human Brain. IEEE Reviews In Biomedical Engineering, Vol 2, 97-109. (Invited).

2008

• Liu, X. S., Huang, A. H., Zhang, X. H., Sajda, P., Ji, B., Guo, X. E. (2008). Dynamic simulation of three dimensional architectural and mechanical alterations in human trabecular bone during menopause. Bone, 43(2), 292-301.
• Shi, J., Wielaard, J., Busuioc, M., Smith, R., Sajda, P. (2008). Using a Spiking Neuron Model of V1 as a Substrate for Mapping Visual Stimuli to Perception. Investigative Ophthalmology & Visual Science, 49(13), 4497.
• Shi, J., Wielaard, J., Sajda, P. (2008). Sparse decoding of neural activity in a spiking neuron model of V1. Computational and Systems Neuroscience (COSYNE).
• Du, S., Mao, X., Sajda, P., Shungu, D. (2008). Automated Tissue Segmentation and Blind Recovery of 1H MRSI Spectral Patterns of Normal and Diseased Human Brain. NMR in Biomedicine 21 (1), 33-41.
• Su, Y., Thakur, S., Sasan, K., Du, S., Sajda, P., Huang, W., Parra, L. (2008). Spectrum Separation Resolves Partial Volume Effect of MRSI as Demonstrated on Brain Tumor. NMR in Biomedicine , 21(10), 1030-1042.

2007

• Liu, X. S., Sajda, P., Saha, P. K., Wehrli, F. W., Bevill, G., Keaveny, T. M., Guo, X. E. (2007). Complete volumetric decomposition of individual trabecular plates and rods and its morphological correlations with anisotropic elastic moduli in human trabecular bone. Journal of Bone and Mineral Research, 23(2), 223-235.
• Sajda, P., Mueller, K., Shenoy, K. V. (2007). Brain-computer interfaces. IEEE Signal Processing Magazine 25 (1), 16-17.
• Shungu, D., Du, S., Mao, X., Heier, L. A., Pannullo, S. C., Sajda, P. (2007). Automated Analysis of 1 H Magnetic Resonance Metabolic Imaging Data as an Aid to Clinical Decision-Making in the Evaluation of Intracranial Lesions. 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 4327-4330.
• Sajda, P., Wielaard, J., Smith, R., Shi, J. (2007). Accessing the Cortical Response to Macular Disease via a Large-Scale Spiking Neuron Model of V1. Investigative Ophthalmology & Visual Science, 48 (13), 2347.
• Sasan, K., Du, S., Thakur, S., Su, Y. (2007). Spectral separation resolves partial volume effect in MRSI: A validation study. 2007 IEEE 33rd Annual Northeast Bioengineering Conference, 90-91.
• Shi, J., Wielaard, J., Sajda, P. (2007). Extraclassical Responses in V1 Modeled via Modulated Cortical Conductances. Computational and Systems Neuroscience (COSYNE) .
• Dyrholm, M., Philiastides, M., Goldman, R., Brown, T. R., Sajda, P. (2007). Decoding fMRI with temporal integration: Learning the hemodynamical response function. Society for Neuroscience, 37th Annual Meeting, San Diego CA, Nov 3-7.
• Gerson, A., Parra, L., Sajda, P. (2007). Single-trial analysis of EEG for enabling cognitive user interfaces. Handbook of Neural Engineering, 635-650.
• Sajda, P., Baek, K. (2007). Bayesian networks for modeling cortical integration. Handbook of Neural Engineering, 585-600.
• Sajda, P., Gerson, A., Philiastides, M., Parra, L. (2007). Single-trial analysis of EEG during rapid visual discrimination: Enabling cortically-coupled computer vision. Towards brain-computer interfacing, Neural information processing series. MIT Press, 423-44.
• Sajda, P., Wielaard, J. (2007). Dependence of response properties on sparse connectivity in a spiking neuron model of the lateral geniculate nucleus. Journal of Neurophysiology, 98(6), 3292-3308.
• Sajda, P., Philiastides, M. (2007). EEG-Informed fMRI Reveals Spatiotemporal Characteristics of Perceptual Decision Making. Journal of Neuroscience, 27(48), 13082-13091.
• Sajda, P., Goldman, R., Philiastides, M., Gerson, A., Brown, T. R. (2007). A system for single-trial analysis of simultaneously acquired EEG and fMRI. 3rd International IEEE EMBS Conference on Neural Engineering, Kona, HI, May 2-7, 2007, 287-290.
• Shungu, D., Du, S., Mao, X. (2007). Automated analysis of 1H magnetic resonance metabolic imaging data as an aid to clinical decision-making in the evaluation of intracranial lesions. Engineering in Medicine and Biology Society, 2007. EMBC 2007. Conference Proceedings. Lyon FRANCE, 2007:4327-30.
• Christoforou, C., Sajda, P., Parra, L. (2007). Second Order Bilinear Discriminant Analysis for Single-trial EEG. Advances in Neural Information Processing Systems 20, 2007. 313-320.
• Parra, L., Christoforou, C., Gerson, A., Dyrholm, M., Luo, A., Wagner, M., Sajda, P. (2007). Spatio-temporal linear decoding of brain state: Application to performance augmentation in high-throughput tasks. IEEE Signal Processing Magazine, 25(1), 95-115.

2006

• Du, S., Mao, X., Sajda, P., Shungu, D. (2006). Automated tissue segmentation and blind recovery of 1H MRS imaging spectral patterns of normal and diseased human brain. NMR in Biomedicine, 21(1), 33-41.
• Liu, X. S., Huang, A. H., Sajda, P., Guo, X. E. (2006). Simulation of 3D architectural and mechanical changes in human trabecular bone during menopause. Journal of Biomechanics 39, S470.
• Sajda, P., Philiastides, M. (2006). Temporal characterization of the neural correlates of perceptual decision making in the human brain. Cerebral Cortex, 16(4), 509-518 (Cover Article).
• Zhao, Q., Stoyanova, R., Du, S., Sajda, P., Brown, T. R. (2006). HiRes—a tool for comprehensive assessment and interpretation of metabolomic data. Bioinformatics, 22 (20), 2562-2564.
• Liu, X. S., Sajda, P., Saha, P. K., Wehrli, F. W., Guo, X. E. (2006). Quantification of the roles of trabecular microarchitecture and trabecular type in determining the elastic modulus of human trabecular bone. Journal of Bone and Mineral Research, 21 (10), 1608-1617.
• Kherlopian, A. R., Gerrein, J. P., Yue, M., Kim, K. E., Kim, J. W., Sukumaran, M., Sajda, P. (2006). Electrooculogram based system for computer control using a multiple feature classification model. Engineering in Medicine and Biology Society, 2006. EMBS'06. 28th Annual International Conference of the IEEE, 1295-1298.
• Koniarek, J., Du, S., Sajda, P., Gouras, P., Smith, R. (2006). Hyperspectral Signatures of Rabbit Retina Sections. Investigative Ophthalmology & Visual Science, 47 (13), 4073.
• Spence, C., Parra, L., Sajda, P. (2006). Varying complexity in tree structured distribution models. IEEE Transactions on Image Processing, 15(2), 319-330.
• Du, S., Sajda, P., Koniarek, J., Smith, R. (2006). Automatic Segmentation of Drusen in Fundus Image Using Non–Negative Matrix Factorization. Investigative Ophthalmology & Visual Science, 47 (13), 5730-5730.
• Murdock, M. C., Pearson, J., Sajda, P. (2006). System and method for providing programming content in response to an audio signal. US Patent 7,013,283.
• Wielaard, J., Sajda, P. (2006). Large-scale simulation of the primary visual cortex. APS March Meeting Abstracts, 1, 1141.
• Sajda, P., Philiastides, M. (2006). Neural representation of task difficulty and decision making during perceptual categorization: a timing diagram. Journal of Neuroscience, 26(35), 8965-75. (Cover Article).
• Liu, X. S., Saha, P. K., Wehrli, F. W., Sajda, P., Guo, X. E. (2006). A 3D morphological analysis of trabecular bone based on individual trabeculae segmentation. Trans Orthop Res Soc, 31, 1783.
• Sajda, P. (2006). Machine learning for detection and diagnosis of disease. Annual Review of Biomedical Engineering, 8, 537-565 (Invited).
• Gerson, A., Parra, L., Sajda, P. (2006). Cortically-coupled computer vision for rapid image search. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 14(2), 174-179.
• Sajda, P., Wielaard, J. (2006). Circuitry and the classification of simple and complex cells in V1. Journal of Neurophysiology, 96(5), 2739-2749.
• Zhao, Q., Stoyanova, R., Du, S., Sajda, P. (2006). HiRes – A Tool for Comprehensive Assessment and Interpretation of Metabolomic Data. Bioinformatics, 22:20, 2552-2554.
• Sajda, P., Philiastides, M. (2006). Causal influences in the human brain during face discrimination: a short-window directed transfer function approach. IEEE Transactions on Biomedical Engineering, 53(12), 2602-2605.
• Luo, A., Sajda, P. (2006). Using single-trial EEG to estimate the timing of target onset during rapid serial visual presentation. 28th IEEE EMBS Annual International Conference, New York, NY, August 30-September 3, 2006, 79-82.
• Shi, J., Wielaard, J., Sajda, P. (2006). Analysis of a gain control model of V1: Is the goal redundancy reduction?. Engineering in Medicine and Biology Society, 2006 (EMBC 2006) Conference Proceedings New York, NY, August 30-September 3, 2006, 4991-4994.
• Tang, A., Sutherland, M., McKinney, C., Jing-Yu, L., Yan, W., Parra, L., Gerson, A., Sajda, P. (2006). Classifying single-trial ERPs from visual and frontal cortex during free viewing. Neural Networks, 2006. IJCNN '06. International Joint Conference on, 16-21 July 2006, 1376 –1383.

2005

• Baek, K., Sajda, P. (2005). Inferring figure-ground using a recurrent integrate-and-fire neural circuit. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 13(2), 125-130.
• Parra, L., Spence, C., Gerson, A., Sajda, P. (2005). Recipes for the linear analysis of EEG. NeuroImage, 28(2), 326-341.
• Gerson, A., Parra, L., Sajda, P. (2005). Cortical origins of response time variability during rapid discrimination of visual objects. NeuroImage, 28(2), 342-353.
• Luo, A., Sajda, P. (2005). Learning discrimination trajectories in EEG sensor space: Application to inferring task difficulty. Journal of Neural Engineering, 3(1), L1-L6.
• Baek, K., Sajda, P. (2005). A probabilistic network model of the influence of local figure-ground representations on the perception of motion. Journal of Vision, 5(8), 842.
• Wielaard, J., Sajda, P. (2005). The role of the LGN on the spatial frequency dependence of surround suppression in V1: Investigations using a computational model. Journal of Vision 5 (8), 888.
• Sajda, P., Zeevi, Y. (2005). Guest editorial: Special issue on blind source separation and de-convolution in imaging and image processing. International Journal of Imaging Systems and Technology, 15 (1), 1.
• Wielaard, J., Sajda, P. (2005). Large-scale simulation of the visual cortex: Classical and extraclassical phenomenaLarge-scale simulation of the visual cortex: Classical and extraclassical phenomena. International Conference of Computational Methods in Sciences and Engineering 2005 (ICCMSE 2005), 196.
• Wielaard, J., Sajda, P. (2005). Extraclassical receptive field phenomena & short-range connectivity in V1. Cerebral Cortex, vol 16:11, 1531-1545. (Cover Article).
• Du, S., Sajda, P., Stoyanova, R., Brown, T. R. (2005). Recovery of metabolomic spectral sources using non-negative matrix factorization. Engineering in Medicine and Biology Society, 2005 (EMBC 2005) , Shanghai, China, Sept. 1-4, 2005. Student Finalist, Best Paper Award.
• Luo, A., Philiastides, M., Wielaard, J., Sajda, P. (2005). Consistency of extracellular and intracellular classification of simple and complex cell. The Annual Meeting of the Organization for Computational Neurosciences (CNS), 17-21 July 2005, Madison, Wisconsin.
• Luo, A., Sajda, P. (2005). Spatio-temporal linear discrimination for inferring task difficulty from EEG. Conference Proceedings, 2nd International IEEE EMBS Conference, March 16-19, 570-573.
• Wielaard, J., Sajda, P. (2005). Neural mechanisms of contrast dependent receptive field size in V1. Advances in Neural Information Processing Systems 18, Ed. Y. Weiss and B. Scholkopf and J. Platt. MIT Press, Cambridge, MA, 1505-1512.

2004

• Sajda, P., Baek, K. (2004). Integration of form and motion within a generative model of visual cortex. Neural Networks: Special Issue on Vision and Brain, 17(5/6), 809-821. Also in Vision and Brain: How the Brain Sees/ New Approaches to Computer Vision edited by S. Grossberg, L. Finkel and D. Field. Elsevier, 2004.
• Sajda, P., Du, S., Brown, T. R., Stoyanova, R., Shungu, D., Mao, X., Parra, L. (2004). Non-negative matrix factorization for rapid recovery of constituent spectra in magnetic resonance chemical shift imaging of the brain. IEEE Transactions on Medical Imaging, 23(12), 1453-1465.
• Baek, K., Kim, D., Sajda, P. (2004). Inferring direction of figure using a recurrent integrate-and-fire neural circuit. The 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS), San Francisco, California, September 1-5, 4576–4579.
• Du, S., Mao, X., Shungu, D., Sajda, P. (2004). Blind recovery of biochemical markers of brain cancer in MRSI. SPIE Medical Imaging 2004, 5370, 726-733. Awarded the Michael Merickel Award for Best Student Paper in Medical Imaging.
• Du, S., Sajda, P., Mao, X., Shungu, D. (2004). Multi-resolution hierarchical blind recovery of biochemical markers of brain cancer in MRSI. IEEE International Symposium on Biomedical Imaging 2004, 233-236.
• Luo, A., Gerson, A., Sajda, P. (2004). Comparison of supervised and unsupervised linear methods for recovering task-relevant activity in EEG. IEEE International Symposium on Biomedical Imaging 2004, 1012-1015.
• Sajda, P., Du, S., Brown, T. R., Stoyanova, R., Shungu, D., Mao, X., Parra, L. (2004). Nonnegative matrix factorization for rapid recovery of constituent spectra in magnetic resonance chemical shift imaging of the brain. IEEE transactions on medical imaging, 23 (12), 1453-1465.
• Du, S., Sajda, P., Mao, X., Shungu, D. (2004). Multiresolution hierarchical blind recovery of biochemical markers of brain cancer in MRSI. Biomedical Imaging: Nano to Macro, 2004. IEEE International Symposium on, 233-236.

2003

• Parra, L., Spence, C., Gerson, A., Sajda, P. (2003). Response error correction: A demonstration of improved human-machine performance using real-time EEG monitoring. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 11, 173-177.
• Sajda, P., Gerson, A., Mueller, K., Blankertz, B., Parra, L. (2003). A data analysis competition to evaluate machine learning algorithms for use in brain-computer interfaces. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 11, 184-185.
• Parra, L., Alvino, C., Tang, A., Pearlmutter, B., Yeung, N., Osman, A., Sajda, P. (2003). Single-trial detection in EEG and MEG: Keeping it linear. Neurocomputing, (52-54), 177-183.
• Sajda, P., Spence, C., Parra, L. (2003). A multi-scale probabilistic network model for detection, synthesis and compression in mammographic image analysis. Medical Image Analysis, 7(2), 187-204.
• Sajda, P., Gerson, A., Parra, L. (2003). Spatial signatures of visual object recognition events learned from single-trial analysis of EEG. Proceedings of the 25th Annual International Conference of the IEEE, 3, 17-21.
• Sajda, P., Du, S., Parra, L. (2003). Recovery of constituent spectra using non-negative matrix factorization. SPIE Wavelets X, San Diego, CA, 321-331.
• Sajda, P., Wielaard, J. (2003). Mechanisms for surround suppression in a Spiking Neuron Model of Macaque Striate Cortex (V1). Computational and Neural Systems, Alicante SPAIN.
• Sajda, P., Wielaard, J. (2003). Simulated optical imaging of orientation preference in a model of V1. Proceedings of the 1st International IEEE EMBS Conference on Neural Engineering , 499-502.
• Sajda, P., Gerson, A., Parra, L. (2003). High-throughput image search via single-trial event detection in a rapid serial visual presentation task. Proceedings of the 1st International IEEE EMBS Conference on Neural Engineering CAPRI Italy, March 20-22, 2003, 7-10.
• Sajda, P., Han, F. (2003). Perceptual salience as novelty detection in cortical pinwheel space. Proceedings of the 1st International IEEE EMBS Conference on Neural Engineering CAPRI Italy, March 20-22, 2003, 43-46.
• Parra, L., Sajda, P. (2003). Converging evidence of independent sources in EEG. Proceedings of the 1st International IEEE EMBS Conference on Neural Engineering , Capri Island, Italy, March 20-22, 2003, 525-528.
• Sajda, P., Du, S., Parra, L., Stoyanova, R., Brown, T. R. (2003). Recovery of constituent spectra in 3D chemical shift imaging using non-negative matrix factorization. Proc. 4th International Symposium on Independent Component Analysis and Blind Signal Separation, April, 2003, Nara, JAPAN, 71-76.
• Baek, K., Sajda, P. (2003). A probabilistic network model for integrating visual cues and inferring intermediate-level representations. Third International Workshop on Statistical and Computational Theories of Vision (SCTV'03), Nice, France.
• Sajda, P., Spence, C., Parra, L. (2003). A multi-scale probabilistic network model for detection, synthesis and compression in mammographic image analysis. Medical image analysis, 7(2), 187-204.
• Gerson, A., Parra, L., Sajda, P. (2003). Single-trial Event Detection of Visual Object Recognition in EEG. NeuroImage, 19 (2), e1621-e1623.
• Parra, L., Spence, C., Gerson, A., Sajda, P. (2003). Response error correction-a demonstration of improved human-machine performance using real-time EEG monitoring. IEEE transactions on neural systems and rehabilitation engineering, 11(2), 173-177.
• Parra, L., Sajda, P. (2003). Converging evidence of linear independent components in EEG. Neural Engineering, 2003. Conference Proceedings. First International IEEE EMBS Conference on, 525-528.
• Parra, L., Sajda, P. (2003). Blind Source Separation via Generalized Eigenvalue Decomposition. Journal of Machine Learning Research: Special Issue on ICA, 4(Dec), 1261-1269.

2002

• Sajda, P., Spence, C., Parra, L. (2002). Capturing contextual dependencies in medical imagery using hierarchical multi-scale models. IEEE International Symposium on Biomedical Imaging: Macro to Nano, 165-168.
• Berger, J., Asmuth, J., Hsu, S., Sajda, P. (2002). Mosaicing and enhancement of images for ophthalmic diagnosis and documentation. US Patent 6,454,410.
• Parra, L., Alvino, C., Tang, A., Pearlmutter, B., Yeung, N., Osman, A., Sajda, P. (2002). Linear Spatial Integration for Single-Trial Detection in Encephalography. NeuroImage, 17, 223-230.
• Sajda, P., Spence, C., Pearson, J. (2002). Learning contextual relationships in mammograms using a hierarchical pyramid neural network. IEEE Transactions on Medical Imaging, 21(3), 239-250.
• Sajda, P., Laine, A., Zeevi, Y. (2002). Multi-resolution and wavelet representations for identifying signatures of disease. Disease Markers, 18, 339-363.

2001

• Spence, C., Parra, L., Sajda, P. (2001). Detection, synthesis and compression in mammographic image analysis with a hierarchical image probability model. IEEE Workshop on Mathematical Methods in Biomedical Image Analysis, 3-10. L. Staib, ed.
• Parra, L., Spence, C., Sajda, P. (2001). Higher-order statistical properties arising from the non-stationarity of natural signals. Advances in Neural Information Processing Systems 13, 786-792. T.K. Leen, T.G. Dietterich, and V. Tresp, eds.
• Spence, C., Sajda, P. (2001). Method and apparatus for training a neural network to detect objects in an image. US Patent 6,324,532.
• Sajda, P., Spence, C. (2001). Application of Information Theory to Improve Computer-Aided Diagnosis. SARNOFF CORP PRINCETON NJ.
• Parra, L., Sajda, P., Spence, C. (2001). Method and apparatus for training and operating a neural network for detecting breast cancer. US Patent 6,208,983.
• Asmuth, J., Madjarov, B., Sajda, P., Berger, J. (2001). Mosaicking and enhancement of slit lamp biomicroscopic fundus images. British Journal of Ophthalmology, 85, 563-565.

2000

• Spence, C., Parra, L., Sajda, P. (2000). Hierarchical image probability (HIP) models. IEEE International Conference in Image Processing, Vol 3, 320-323.
• Sajda, P., Spence, C., Parra, L., Nishikawa, R. (2000). Hierarchical multi-resolution models for object recognition: Applications to mammographic computer-aided diagnosis. 29th Applied Imagery Pattern Recognition Workshop, 159-165. J.V. Aanstoos, ed..
• Spence, C., Parra, L., Sajda, P. (2000). Mammographic mass detection with a hierarchical image probability (HIP) model. Proc. SPIE 3979, Medical Imaging 2000: Image Processing, 990-997. Kenneth M. Hanson, Editor.
• Parra, L., Mueller, K., Spence, C., Ziehe, A., Sajda, P. (2000). Unmixing hyperspectral data. Advances in Neural Information Processing Systems 12, 942-948. S. A. Solla, T. K. Leen, and K-R Muller, eds., MIT Press.
• Spence, C., Pearson, J., Sajda, P. (2000). Method and apparatus for training a neural network to learn hierarchical representations of objects and to detect and classify objects with uncertain training data. US Patent 6,018,728.

1999

• Nishikawa, R., Gatsonis, C., Schnall, M., Giger, M., Sajda, P., Chen, M. (1999). Large scale observer study to measure the benefits of computer-aided detection to screening mammography. Radiology, 213, 150.
• Parra, L., Sajda, P. (1999). Recovering Audio Sources in a multi-path Environment. SARNOFF CORPORATION ARLINGTON VA.
• Spence, C., Sajda, P. (1999). Multiresolution neural networks for mammographic mass detection. The 27th AIPR Workshop: Advances in Computer-Assisted Recognition, 259-265.
• Spence, C., Pearson, J., Sajda, P. (1999). Method and Apparatus for Training a Neural Network to Detect and Classify Objects with Uncertain Training Data. EP Patent 0,892,956.

1998

• Sajda, P., Spence, C. (1998). Applications of multi-resolution neural networks to mammography. Advances in Neural Information Processing Systems 11 , 938-944. M. J. Kearns, S. A. Solla, D. A. Cohn, eds., MIT Press.
• Spence, C., Sajda, P. (1998). Multi-resolution neural networks for mammographic mass detection. 27th AIPR Workshop: Advances in Computer-assisted Recognition, 259-265. R. Mericsko ed.
• Spence, C., Sajda, P. (1998). The role of feature selection in building pattern recognizers for computer-aided diagnosis. Proc. SPIE 3338, Medical Imaging 1998: Image Processing, 1434-1441. Kenneth M. Hanson, Editor.
• Spence, C., Sajda, P. (1998). Dealing with position uncertainty when training an image search system. 26th AIPR Workshop: Exploiting New Image Sources and Sensors, 312-322.
• Sajda, P., Spence, C. (1998). Training neural networks for computer-aided diagnosis: experience in the intelligence community. Medical Technology Symposium, 1998. Proceedings. Pacific, 388-392.

1997

• Spence, C., Sajda, P., Nishikawa, R. (1997). Dealing with uncertainty and error in truth data when training neural networks for computer-aided diagnosis application. CARS '97: Computer Assisted Radiology and Surgery. 352 - 357. H.U. Lemke, M.W. Vannier and K. Inamura eds.
• Sakai, K., Sajda, P., Yen, S., Finkel, L. H. (1997). Coarse-grain parallel computing for very large scale neural simulations in the NEXUS simulation environment. Computers in Biology and Medicine, 27(4), 257-266.

1996

• Spence, C., Sajda, P., Pearson, J. (1996). Extracting contextual information in digital imagery: Applications to automatic target recognition and mammography. 25th Annual AIPR Workshop: Tools and Techniques in Modeling and Simulation, Vol. 2645, 171-180. ed. D. Gerson.
• Sajda, P., Spence, C., Pearson, J., Nishikawa, R. (1996). Integrating multi-resolution and contextual information for improved microcalcification detection. Digital Mammography 96 , 291-296. eds. K. Doi et. al.
• Sajda, P., Spence, C., Pearson, J., Nishikawa, R. (1996). Exploiting context in mammograms: a hierarchical neural network for detecting microcalcifications. Proc. SPIE 2710, Medical Imaging 1996: Image Processing, 733-742. Kenneth M. Hanson, Editor.
• Sajda, P., Spence, C., Pearson, J., Nishikawa, R. (1996). Integrating multi-resolution and contextual information for improved microcalcification detection in CAD. Digital Mammography, 291-296.

1995

• Sajda, P., Spence, C., Pearson, J. (1995). A hierarchical neural network architecture that learns target context: Applications to digital mammography. IEEE International Conference in Image Processing , Vol. 3, 149-151.
• Sajda, P., Spence, C., Pearson, J. (1995). A hierarchical neural network architecture that learns target context: applications to digital mammography. Image Processing, 1995. Proceedings., International Conference on, 3, 149-151.
• Pearson, J., Sajda, P., Spence, C. (1995). Hybrid Pyramid/Neural Network Vision System. Status Report 7, David Sarnoff Research Center, Princeton, NJ.
• Sajda, P., Finkel, L. H. (1995). Intermediate-level visual representations and the construction of surface perception. Journal of Cognitive Neuroscience, 7(2), 267-291.
• Sajda, P., Spence, C., Hsu, H., Pearson, J. (1995). Integrating neural networks with image pyramids to learn target context. Neural Networks, 8(7/8), 1143-1152.

1994

• Sajda, P., Finkel, L. H. (1994). Construction of illusory surfaces by intermediate-level visual cortical networks. Computation and Neural Systems 1993 , 121-126. ed. F. Eeckman.
• Yen, S., Sajda, P., Finkel, L. H. (1994). Comparison of gender recognition by PDP and radial basis function network. The Neurobiology of Computation, 433-438. ed. J. Bower, Kluwer Academic Press.
• Sajda, P. (1994). Reverse engineering of intermediate-level vision: surface segmentation and depth-from-occlusion. (Doctoral Dissertation). University of Pennsylvania.
• Sajda, P., Sakai, K., Yen, S., Finkel, L. H. (1994). Nexus: A neural simulator for integrating top-down and bottom-up modeling. Neural Network Simulation Environments, 29-45.
• Finkel, L. H., Sajda, P. (1994). Constructing visual perception. American Scientist, 82, 224-237.

1993

• Sajda, P., Finkel, L. H. (1993). Dual mechanisms for neural binding and segmentation and their role in cortical integration. Advances in Neural Information Processing Systems, 6, 993-1000. J. Cowan, G. Tesauro and J. Alspector, eds.
• Sajda, P., Finkel, L. H. (1993). Cortical mechanisms for surface segmentation. Computation and Neural Systems 1992, 195-199. F. Eeckman and J. Bower, Kluwer, eds. Academic Press.

1992

• Sajda, P., Finkel, L. H. (1992). Object segmentation and binding within a biologically-based neural network model of depth-from-occlusion. IEEE Computer Vision and Pattern Recognition, 688-691.
• Sajda, P., Finkel, L. H. (1992). A neural network model of object segmentation and feature binding in visual cortex. International Joint Conference on Neural Networks, IV, 43-48.
• Sakai, K., Sajda, P., Finkel, L. H. (1992). Texture discrimination and binding by a modified energy model. International Joint Conference on Neural Networks, 1992(3), 780-785.
• Sajda, P., Finkel, L. H. (1992). Extraction of Depth-From-Occlusion by a Physiologically-Based Network. Investigative Ophthalmology & Visual Science, 33 (4), 707-707.
• Finkel, L. H., Sajda, P. (1992). Computer Simulations of Object Discrimination by Visual Cortex. CNS'92 Proceedings, San Francisco, CA.
• Sajda, P., Sakai, K., Finkel, L. H. (1992). NEXUS User Manual. Beta Release-Version 0.8. Pennsylvania University Philadelphia Department of Bioengineering.
• Sajda, P., Sakai, K., Finkel, L. H. (1992). NEXUS: A tool for simulating large-scale hybrid neural networks. Summer Computer Simulation Conference, 72.
• Sajda, P., Finkel, L. H. (1992). NEXUS: A simulation environment for large-scale neural systems. Simulation, 59(6), 358-364.
• Sajda, P., Finkel, L. H. (1992). Simulating biological vision with hybrid neural networks.. Simulation, 59(1), 47-55.
• Finkel, L. H., Sajda, P. (1992). Object discrimination based on depth-from-occlusion. Neural Computation, 4(6), 901-921.

1990

• Sorensen, K., Macri, J. N., Douros, T. J., Sajda, P., Ippolito, E. V. (1990). Method and apparatus for providing quality assurance and calibration assurance in a spectrophotometer. US Patent 4,892,405.

1989

• Sajda, P. (1989). Machine implementation of a human motor task: the yo-yo robot. Massachusetts Institute of Technology, Cambridge, MA.

1987

• Macri, J. N., Kasturi, R. V., Hu, M. G., Krantz, D. A., Douros, T. J., Sajda, P., Cook, E. J. (1987). Maternal serum α-fetoprotein screening: III. Pitfalls in evaluating black gravid women. American journal of obstetrics and gynecology, 157(4), 820-822.

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