Igor Yanovsky, Ph.D.
Affiliations: | 2008 | University of California, Los Angeles, Los Angeles, CA |
Area:
Sparsity, Compressive Sensing, Imaging, PDE, Level setsGoogle:
"Igor Yanovsky"Mean distance: 32.01
Parents
Sign in to add mentor| Stanley J. Osher | grad student | 2008 | UCLA | |
| (Unbiased nonlinear image registration.) | ||||
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Publications
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| Yanovsky I, Dragomiretskiy K. (2018) Variational Destriping in Remote Sensing Imagery: Total Variation with L1 Fidelity Remote Sensing. 10: 300 |
| Yanovsky I, Behrangi A, Wen Y, et al. (2017) Enhanced Resolution of Microwave Sounder Imagery through Fusion with Infrared Sensor Data Remote Sensing. 9: 1097 |
| Yanovsky I, Lambrigtsen BH. (2016) Enhancing the temporal resolution of image sequences capturing evolving weather phenomena Remote Sensing Letters. 7: 239-248 |
| Gutman BA, Wang Y, Yanovsky I, et al. (2015) Empowering imaging biomarkers of Alzheimer's disease. Neurobiology of Aging. 36: S69-80 |
| Qin J, Yanovsky I, Yin W. (2015) Efficient simultaneous image deconvolution and upsampling algorithm for low-resolution microwave sounder data Journal of Applied Remote Sensing. 9 |
| Yanovsky I, Lambrigtsen BH, Tanner AB, et al. (2015) Efficient Deconvolution and Super-Resolution Methods in Microwave Imagery Ieee Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| Gutman BA, Hua X, Rajagopalan P, et al. (2013) Maximizing power to track Alzheimer's disease and MCI progression by LDA-based weighting of longitudinal ventricular surface features. Neuroimage. 70: 386-401 |
| Lee D, Dinov I, Dong B, et al. (2012) CUDA optimization strategies for compute- and memory-bound neuroimaging algorithms. Computer Methods and Programs in Biomedicine. 106: 175-87 |
| Ye J, Yanovsky I, Dong B, et al. (2012) Multigrid narrow band surface reconstruction via level set functions Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 7431: 61-70 |
| Hua X, Gutman B, Boyle CP, et al. (2011) Accurate measurement of brain changes in longitudinal MRI scans using tensor-based morphometry. Neuroimage. 57: 5-14 |