My Publications
- Spence, C., Parra, L., Sajda, P. (2006). Varying complexity in tree structured distribution models. IEEE Transactions on Image Processing, 15(2), 319-330.
- Parra, L., Spence, C., Gerson, A., Sajda, P. (2005). Recipes for the linear analysis of EEG. NeuroImage, 28(2), 326-341.
- 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., 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., 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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., Spence, C., Hsu, H., Pearson, J. (1995). Integrating neural networks with image pyramids to learn target context. Neural Networks, 8(7/8), 1143-1152.
