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Yavas, G., Koyutürk, M., Ozsoyoglu, Z. M., Gould, M., & LaFramboise, T.(2009).An optimization framework for unsupervised identification of rare copy number variation from SNP array data. Genome Biol, 10(10), R119.
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Furlan, J., Kadambi, J. R., Loparo, K. A., Sreenath, S. N., & Manjila, S.(2009).PIV Investigation of Cerebral Spinal Fluid Flow in the Cerebral Ventricular System. Journal of Flow Visualization and Image Processing, 16(2).
Scher, M., Ludington-Hoe, S., Johnson, M., Holditch-Davis, D., & Loparo, K. A.(2009).Neurophysiologic assessment of brain maturation after an 8-week trial of skin-to-skin contact on preterm infants. Clinical Neurophysiology, 120(10), 1812–1818.
Zeng, X., Gurkan Cavusoglu, E., Loparo, K. A., & KInsella, T.(2009).Abstract# 460: The relationship between G2/M cell cycle arrest, and activation of autophagy and apoptosis following MMR processing of 6-thioguanine. Cancer Research, 69(9 Supplement), 460–460.
Foglyano, R., Dick, T., Loparo, K. A., & Wilson, C.(2009).Quantifying the complexity of neural network output using entropy measures. BMC Neuroscience, 10(Suppl 1), P322.
Piryatinska, A., Terdik, G., Woyczynski, W., Loparo, K. A., Scher, M., & Zlotnik, A.(2009).Automated detection of neonate EEG sleep stages. Computer methods and programs in biomedicine, 95(1), 31–46.
Janowczyk, A., Chandran, S., Singh, U., Sasaroli, D., Coukos, G., Feldman, M., ... Madabhushi, A.(2009).Hierarchical normalized cuts: unsupervised segmentation of vascular biomarkers from ovarian cancer tissue microarrays.. Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention, 12(Pt 1), 230-8.
Kascak, P., Jansen, R., Dever, T., Nagorny, A., & Loparo, K. A.(2009).Bearingless Five-Axis Rotor Levitation with Two Pole Pair Separated Conical Motors. ,(), 1–9.
DeCastro, J., Tang, L., Loparo, K. A., Goebel, K., & Vachtsevanos, G.(2009).Exact nonlinear filtering and prediction in process model-based prognostics. Annual Conference of the Prognostics and Health Management Society,().
Tiwari, P., Rosen, M., Reed, G., Kurhanewicz, J., & Madabhushi, A.(2009).Spectral embedding based probabilistic boosting tree (ScEPTre): classifying high dimensional heterogeneous biomedical data.. Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention, 12(Pt 2), 844-51.