About me
I am a graduate student in the Machine learning department.
Research interests
Machine learning, medical image analysis, image registration, computer aided diagnosis.
Contact
lyonya at gmail.com
Leonid Teverovsky
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About me I am a graduate student in the Machine learning department. Research interests Machine learning, medical image analysis, image registration, computer aided diagnosis. Contact lyonya at gmail.com |
Publications
G. Ruppert, L. Teverovskiy, Chen-Ping Yu, A. Falcão, Y. Liu, 'A new symmetry-based method for midsagittal plane extraction in neuroimages'. ISBI 2011: 285-288
L. Teverovskiy, J. T. Becker, O. L. Lopez, Y. Liu: Quantified brain asymmetry for age estimation of normal and AD/MCI subjects. ISBI 2008: 1509-1512
Y. Liu, L. Teverovskiy, O. L. Lopez, H. Aizenstein, C. C. Meltzer, J. T. Becker: Discovery of `biomarkers' for Alzheimer's disease prediction from structural MR images. ISBI 2007: 1344-1347
L. Teverovskiy, O. T. Carmichael, H. Aizenstein, N. Lazar, Y. Liu: Feature-based vs. intensity-based brain image registration: comprehensive comparison using mutual information. ISBI 2007: 576-579
L. Teverovskiy, Y. Liu: Truly 3D midsagittal plane extraction for robust neuroimage registration. Proceedings, IEEE International Symposium on Biomedical Imaging, April 2006
L. Teverovskiy, Y. Liu, J. Spears, J. Becker, H. Aizenstein, O. Carmichael, C.Meltzer: Brain asymmetry as a predictor of age. Human Brain Mapping 2005.
Y. Liu, L. Teverovskiy, O. Carmichael, H. Aizenstein, J. T. Becker, O. L. Lopez, V. A. Stenger, C. Meltzer: AD and MCI classification from cross-sectional MRI using discriminative subspace analysis.}, 2005 American Academy of Neurology Annual Meeting
L. Teverovskiy and Y. Liu: Learning-based neuroimage registration. tech. Report CMU-RI-TR-04-59, Robotics Institute, Carnegie Mellon University, October, 2004
Y. Liu, L. Teverovskiy, O. Carmichael, R. Kikinis, M. Shenton, C. Carter, V. Stenger, S. Davis, H. Aizenstein, J. Becker, O. Lopez, C. Meltzer: Discriminative MR image feature analysis for automatic schizophrenia and Alzheimer's disease classification.} MICCAI (1) 2004: 393-401