REFEREED PUBLICATIONS ^*

1. Igor Yanovsky, Paul Thompson, Stanley Osher, Alex Leow, Topology Preserving Log-Unbiased Nonlinear Image Registration: Theory and Implementation, IEEE Conference on Computer Vision and Pattern Recognition, 2007.

2. Igor Yanovsky, Stanley Osher, Paul Thompson, Alex Leow, Log-Unbiased Large-Deformation Image Registration, Computer Vision Theory and Applications, vol. 1, pp. 272-279, 2007.

3. Igor Yanovsky, Ming-Chang Chiang, Paul Thompson, Andrea Klunder, James Becker, Simon Davis, Arthur Toga, Alex Leow, Quantifying Deformation Using Information Theory: The Log-Unbiased Nonlinear Registration, IEEE International Symposium on Biomedical Imaging, pp. 13-16, 2007.

4. Igor Yanovsky, Paul Thompson, Stanley Osher, Luminita Vese, Alex Leow, Multiphase Segmentation of Deformation using Logarithmic Priors, IEEE Computer Society Workshop on Image Registration and Fusion, 2007.

5. Alex Leow, Igor Yanovsky, Ming-Chang Chiang, Agatha Lee, Andrea Klunder, Allen Lu, James Becker, Simon Davis, Arthur Toga, Paul Thompson, Statistical Properties of Jacobian Maps and the Realization of Unbiased Large-Deformation Nonlinear Image Registration, IEEE Transactions on Medical Imaging, vol. 26, no. 6, pp. 822-832, 2007.

6. Igor Yanovsky, Paul Thompson, Andrea Klunder, Arthur Toga, Alex Leow, Local Volume Change Maps in Nonrigid Registration: When Are Computed Changes Real?, International Conference on Medical Image Computing and Computer Assisted Intervention, Workshop on Statistical Registration, 2007.

7. Igor Yanovsky, Paul Thompson, Stanley Osher, Alex Leow, Multimodal Unbiased Matching via Mutual Information, Computational Imaging VI, IS&T/SPIE Electronic Imaging, vol. 6814, 2008.

8. Igor Yanovsky, Paul Thompson, Stanley Osher, Xue Hua, David Shattuck, Arthur Toga, Alex Leow, Validating Unbiased Registration on Longitudinal MRI Scans from the ADNI, IEEE International Symposium on Biomedical Imaging, pp. 1091-1094, 2008.

9. Igor Yanovsky, Paul Thompson, Stanley Osher, Alex Leow, Asymmetric and Symmetric Unbiased Image Registration: Statistical Assessment of Performance, Mathematical Methods in Biomedical Image Analysis, 2008.

10. Igor Yanovsky, Carole Le Guyader, Alex Leow, Paul Thompson, Luminita Vese, Nonlinear Elastic Registration with Unbiased Regularization in Three Dimensions, The MIDAS Journal (549), 56–67, http://hdl.handle.net/10380/1360, 2008.

11. Igor Yanovsky, Carole Le Guyader, Alex Leow, Arthur Toga, Paul Thompson, Luminita Vese, Unbiased Volumetric Registration via Nonlinear Elastic Regularization, Mathematical Foundations of Computational Anatomy, pp. 1-8, 2008.

12. Igor Yanovsky, Alex Leow, Suh Lee, Stanley Osher, Paul Thompson, Comparing Registration Methods for Mapping Brain Change using Tensor-Based Morphometry, Medical Image Analysis, vol. 13, no. 5, 679-700, 2009.

13. X. Hua, I. Yanovsky, A. Leow, S. Lee, A. Ho, N. Parikshak, A. Toga, C. Jack, M. Weiner, P. Thompson, Tensor-based morphometry as surrogate marker for Alzheimer's disease and mild cognitive impairment: Optimizing Statistical Power, Alzheimer's and Dementia, 5(4):204-205, 2009.

14. A. Leow, I. Yanovsky, N. Parikshak, P. Thompson, et al., Alzheimer's Disease Neuroimaging Initiative: A one-year follow up study using tensor-based morphometry correlating degenerative rates, biomarkers and cognition, NeuroImage, vol. 45, no. 3, pp. 635-655, 2009.

15. X. Hua, S. Lee, I. Yanovsky, A. Leow, Y. Chou, A. Ho, B. Gutman, A. Toga, C. Jack, M. Bernstein, E. Reiman, D. Harvey, J. Kornak, N. Schuff, G. Alexander, M. Weiner, P. Thompson, Optimizing Power to Track Brain Degeneration in Alzheimer's Disease and Mild Cognitive Impairment with Tensor-Based Morphometry: An ADNI Study of 515 Subjects, NeuroImage, vol. 48, no. 4, 668-681, 2009.

16. A. Ho, X. Hua, S. Lee, A. Leow, I. Yanovsky, B. Gutman, I. Dinov, N. Lepore, J. Stein, A. Toga, C. Jack, M. Bernstein, E. Reiman, D. Harvey, J. Kornak, N. Schuff, G. Alexander, M. Weiner, P. Thompson, Comparing 3 T and 1.5 T MRI for tracking Alzheimer's disease progression with tensor-based morphometry, Human Brain Mapping, vol. 31, no. 4, pp. 499-514, 2010.

17. X. Hua, S. Lee, D. Hibar, I. Yanovsky, A. Leow, A. Toga, C. Jack, M. Bernstein, E. Reiman, D. Harvey, J. Kornak, N. Schuff, G. Alexander, M. Weiner, P. Thompson, Mapping Alzheimer's disease progression in 1309 MRI scans: Power estimates for different inter-scan intervals, NeuroImage, vol. 51, no. 1, pp. 63-75, 2010.

18. D. Lee, I. Dinov, B. Dong, B. Gutman, I. Yanovsky, A. Toga, CUDA Optimization strategies for compute- and memory-bound neuroimaging algorithms, accepted by Computer Methods and Programs in Biomedicine, Elsevier, 2010.

19. P. Lu, P. Thompson, A. Leow, G. Lee, A. Lee, I. Yanovsky, N. Parikshak, T. Khoo, D. Geschwind, G. Bartzokis, Apolipoprotein E genotype predicts temporal and hippocampal atrophy in healthy elderly adults: A tensor-based morphometry study, accepted by Neurobiology of Aging, 2010.

TECHNICAL REPORTS

1. Igor Yanovsky, Stanley Osher, Paul Thompson, Alex Leow, An Information Theory Approach to Nonlinear Image Registration, UCLA Computational and Applied Mathematics Report 06-64, 2006.

2. Igor Yanovsky, Paul Thompson, Stanley Osher, Alex Leow, Large Deformation Unbiased Diffeomorphic Nonlinear Image Registration: Theory and Implementation, UCLA Computational and Applied Mathematics Report 06-71, 2006.

3. Igor Yanovsky, Paul Thompson, Stanley Osher, Luminita Vese, Alex Leow, Multiphase Segmentation of Deformation using Logarithmic Priors, UCLA Computational and Applied Mathematics Report 07-05, 2007.

4. Igor Yanovsky, Paul Thompson, Stanley Osher, Alex Leow, Asymmetric and Symmetric Unbiased Image Registration: Statistical Assessment of Performance, UCLA Computational and Applied Mathematics Report 07-49, 2007.

5. Igor Yanovsky, Carole Le Guyader, Alex Leow, Paul Thompson, Luminita Vese, Unbiased Volumetric Registration via Nonlinear Elastic Regularization, UCLA Computational and Applied Mathematics Report 08-27, 2008.

6. Igor Yanovsky, Unbiased Nonlinear Image Registration, Ph.D. Dissertation, University of California, Los Angeles, May 2008.

7. Igor Yanovsky, Alex Leow, Suh Lee, Stanley Osher, Paul Thompson, Comparing Registration Methods for Mapping Brain Change using Tensor-Based Morphometry, UCLA Computational and Applied Mathematics Report 09-58, 2009.

8. J. Ye, I. Yanovsky, B. Dong, R. Gandlin, A. Brandt, S. Osher, Multigrid Narrow Band Surface Reconstruction via Level Set Functions, UCLA Computational and Applied Mathematics Report 09-98, 2009.

INVITED PRESENTATIONS

1. International Conference on Computer Vision Theory and Applications, Log-Unbiased Large-Deformation Image Registration, Barcelona, Spain, March 8-11, 2007.

2. IEEE Computer Society Workshop on Image Registration and Fusion, Multiphase Segmentation of Deformation using Logarithmic Priors, Minneapolis, Minnesota, June 23, 2007.

3. International Conference on Medical Image Computing and Computer Assisted Intervention, Workshop on Statistical Registration: Pair-wise and Group-wise Alignment and Atlas Formation, Local Volume Change Maps in Nonrigid Registration, Brisbane, Australia, November 2, 2007.

4. Annual Symposium of the International Society of Optical Engineering on Electronic Imaging, Multimodal Unbiased Matching via Mutual Information, San Jose, California, January 27-31, 2008.

5. IEEE Conference on Computer Vision and Pattern Recognition, Tutorial on Image Registration and Fusion, Anchorage, Alaska, June 24-26, 2008.

6. Center for Domain Specific Computing, Viscous Fluid Model for Large Deformation Image Registration, Los Angeles, California, March 10, 2010.

7. SIAM Conference on Imaging Science, Unbiased Nonlinear Image Registration, Chicago, Illinois, April 12-14, 2010.

8. California State University, Northridge, Applied Mathematics Seminar, Inverse Problems in Remote Sensing, Northridge, California, October 29, 2010.

9. University of California, Los Angeles, Image Processing Seminar, Inverse Methods for Atmospheric Retrieval, Los Angeles, California, November 12, 2010.

ABSTRACTS and POSTERS

1. Igor Yanovsky, Luminita Vese, Stanley Osher, Ivo Dinov, Multiphase Segmentation of Volumetric MRI Images, NSF VIGRE Research, University of California, Los Angeles, 2005.

2. Alexandre Cunha, Igor Yanovsky, Ginmo Chung, Yonggang Shi, Stanley Osher, Luminita Vese, Alex Leow, Ivo Dinov, Paul Thompson, Arthur Toga, The Variational Brain, SIAM Conference on Computational Science & Engineering, Costa Mesa, California, 2007.

3. Igor Yanovsky, Paul Thompson, Stanley Osher, Luminita Vese, Alex Leow, Topology Preserving Diffeomorphic Image Registration and its Application to Tracking of Deforming Shapes, NSF/IPAM Conference on Image Processing for Random Shapes: Applications to Brain Mapping, Geophysics and Astrophysics, Los Angeles, California, 2007.

4. Igor Yanovsky, Paul Thompson, Stanley Osher, Alex Leow, Unbiased Nonlinear Registration Methods: Statistical and Calibration Assessment of Performance, NSF VIGRE Research, University of California, Los Angeles, 2007.

5. Igor Yanovsky, Luminita Vese, Carole Le Guyader, Alex Leow, Stanley Osher, Paul Thompson, Unbiased Nonlinear Registration via Nonlinear Elastic and Viscous Fluid Regularizations, Institute for Pure and Applied Mathematics (IPAM) Conference on Numerics and Dynamics of Optimal Transport, Los Angeles, California, 2008.

6. Igor Yanovsky, Carole Le Guyader, Alex Leow, Paul Thompson, Luminita Vese, Nonlinear Elastic Registration with Unbiased Regularization in Three Dimensions, International Conference on Medical Image Computing and Computer Assisted Intervention, Computational Biomechanics for Medicine, New York, 2008.

7. A. Liao, I. Yanovsky, N. Parikshak, X. Hua, S. Lee, A. Toga, C. Jack, M. Weiner, P. Thompson, Alzheimer's Disease Neuroimaging Initiative: A One-year Follow up Study Correlating Degenerative Rates, Biomarkers and Cognition, Annual meeting of the American College of Neuropsychopharmacology, Scottsdale, Arizona, 2008.

8. X. Hua, I. Yanovsky, A. Leow, S. Lee, A. Ho, N. Parikshak, A. Toga, C. Jack, M. Weiner, P. Thompson, Tensor-based morphometry as surrogate marker for Alzheimer's disease and mild cognitive impairment: Optimizing Statistical Power, Organization for Human Brain Mapping, San Francisco, California, 2009.

9. P. Thompson, X. Hua, I. Yanovsky, et al., Brain changes in 676 ADNI subjects: Summary of 10 studies using Tensor Based-Morphometry and Automated Hippocampal Mapping, American Academy of Neurology, Seattle, Washington, 2009.

10. X. Hua, S. Lee, A. Leow, I. Yanovsky, N. Parikshak, Y. Chou, A. Ho, B. Gutman, A. Toga, C. Jack, M. Bernstein, E. Reiman, D. Harvey, J. Kornak, N. Schuff, G. Alexander, M. Weiner, P. Thompson, Neuroimaging biomarkers track brain degeneration in 676 subjects with Alzheimer's disease, mild cognitive impairment, and healthy controls, Society for Neuroscience, Chicago, Illinois, 2009.

11. A. Ho, X. Hua, S. Lee, A. Leow, I. Yanovsky, B. Gutman, I. Dinov, N. Lepore, J. Stein, A. Toga, C. Jack, M. Bernstein, E. Reiman, D. Harvey, J. Kornak, N. Schuff, G. Alexander, M. Weiner, P. Thompson, Tracking Alzheimer's Disease Progression: Does 3 Tesla or 1.5 Tesla MRI Provide Greater Statistical Power? Society for Neuroscience, Chicago, Illinois, 2009.

12. B. Dong, J. Ye, I. Yanovsky, R. Gandlin, A. Brandt, S. Osher, Surface Reconstruction and Biomedical Shape Processing and Analysis, SIAM Conference on Imaging Science, Chicago, Illinois, 2010.

13. X. Hua, S. Lee, D. Hibar, I. Yanovsky, A. Leow, A. Toga, C. Jack, M. Bernstein, E. Reiman, D. Harvey, J. Kornak, N. Schuff, G. Alexander, M. Weiner, P. Thompson, Power estimates for MRI-based Alzheimer's disease clinical trials using different inter-scan intervals, Organization for Human Brain Mapping, Barcelona, Spain, 2010.

14. B. Gutman, C. Svarer, A. Leow, I. Yanovsky, A. Toga, P. Thompson, Creating Unbiased Minimal Deformation Templates for Brain Volume Registration, Organization for Human Brain Mapping, Barcelona, Spain, 2010.

Research Statement, December 2007.

Oblique Shock Problem: Solution of Conservation Laws on Non-Rectangular Grid, March 2005.

HANDBOOKS

Igor Yanovsky, Ordinary Differential Equations: Graduate Level Problems and Solutions, pp. 1-128, 2005.

Igor Yanovsky, Partial Differential Equations: Graduate Level Problems and Solutions, pp. 1-396, 2005.

Igor Yanovsky, Real Analysis and Multivariable Calculus: Graduate Level Problems and Solutions, pp. 1-46, 2005.

Served as Journal Reviewer for:
   IEEE Transactions on Pattern Recognition and Machine Intelligence
   IEEE Transactions on Image Processing
   ACM Transactions on Mathematical Software
   Computers and Geosciences
   Artificial Intelligence in Medicine