My Publications
- Dmochowski, J., Ki, J., DeGuzman, P., Sajda, P., Parra, L. (2017). Extracting multidimensional stimulus-response correlations using hybrid encoding-decoding of neural activity. NeuroImage.
- 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.
- 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.
- Sajda, P., Parra, L. (2014). Single Trial detection in encephalography. US Patent 8,731,650.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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).
- 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.
- 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., 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.
- 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.
- Spence, C., Parra, L., Sajda, P. (2006). Varying complexity in tree structured distribution models. IEEE Transactions on Image Processing, 15(2), 319-330.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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., 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- Parra, L., Sajda, P. (1999). Recovering Audio Sources in a multi-path Environment. SARNOFF CORPORATION ARLINGTON VA.
