Igor Yanovsky

According to our database, Igor Yanovsky authored at least 34 papers between 2007 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

STASIS: A Concept for Sparse Interferometric Radiometry of the Antarctic Ice Sheet.

Alex Akins, Alan Tanner, Andreas Colliander, Nicole Schlegel, Igor Yanovsky, Kenza Boudad, Sidharth Misra, Shannon T. Brown

Proceedings of the IGARSS 2024, 2024

2023

Reconstruction of ICE Sheet Temperature Maps Using a Sparsity-Based Image Deconvolution Method.

Igor Yanovsky, Alan B. Tanner, Alex Akins

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Atmospheric Motion Vector Retrieval Using the Total Variation-Based Optical Flow Method.

Igor Yanovsky, Derek J. Posselt, Longtao Wu, Svetla M. Hristova-Veleva, Hai Nguyen, Bjorn Lambrigtsen, Xubin Zeng

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Incorporating Texture Features into Optical Flow for Atmospheric Wind Velocity Estimation.

Joel Barnett, Andrea L. Bertozzi, Luminita A. Vese, Igor Yanovsky

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Building Seasonal Maps of Antarctica's Temperature with Repeat-Pass Microwave Interferometry.

Alex Akins, Alan B. Tanner, Nicole-Jeanne Schlegel, Andreas Colliander, Igor Yanovsky, Sidharth Misra, Shannon T. Brown

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

2022

A Geostationary Microwave Sounder: Design, Implementation and Performance.

Bjorn Lambrigtsen, Pekka Kangaslahti, Oliver Montes, Noppasin Niamsuwan, Derek J. Posselt, Jacola Roman, Mathias Schreier, Alan B. Tanner, Longtao Wu, Igor Yanovsky

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022

2021

Airs Point Spread Function Reconstruction Using Airs and Modis Data.

Igor Yanovsky, Thomas S. Pagano, Evan M. Manning, Steven E. Broberg, Hartmut H. Aumann, Luminita A. Vese

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

Spatio-Temporal Super-Resolution Reconstruction of Remote Sensing Data.

Igor Yanovsky, Jing Qin

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

2020

Deriving Velocity Fields of Submesoscale Eddies Using Multi-Sensor Imagery.

Igor Yanovsky, Benjamin Holt, François Ayoub

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

2018

Variational Destriping in Remote Sensing Imagery: Total Variation with <i>L</i>¹ Fidelity.

Igor Yanovsky, Konstantin Dragomiretskiy

Remote. Sens., 2018

Robust Super-Resolution Image Reconstruction Method for Geometrically Deformed Remote Sensing Images.

Jing Qin, Igor Yanovsky

Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Energy Minimization for Cirrus and Cumulus Cloud Separation in Atmospheric Images.

Charles Z. Marshak, Igor Yanovsky, Luminita A. Vese

Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

2017

Enhanced Resolution of Microwave Sounder Imagery through Fusion with Infrared Sensor Data.

Igor Yanovsky, Ali Behrangi, Yixin Wen, Mathias Schreier, Van Dang, Bjorn Lambrigtsen

Remote. Sens., 2017

Fusion of microwave and infrared data for enhancing its spatial resolution.

Igor Yanovsky, Ali Behrangi, Mathias Schreier, Van Dang, Berry Wen, Bjorn Lambrigtsen

Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

Destriping pushbroom satellite imaging systems with total variation-L1/-L2 method.

Konstantin Dragomiretskiy, Igor Yanovsky

Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

2015

Separation of a Cirrus Layer and Broken Cumulus Clouds in Multispectral Images.

Igor Yanovsky, Anthony B. Davis

IEEE Trans. Geosci. Remote. Sens., 2015

Efficient Deconvolution and Super-Resolution Methods in Microwave Imagery.

Igor Yanovsky, Bjorn Lambrigtsen, Alan B. Tanner, Luminita A. Vese

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2015

2014

Separation of cloud layers in multispectral imager data.

Igor Yanovsky, Anthony B. Davis, Veljko M. Jovanovic

Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014

2013

Maximizing power to track Alzheimer's disease and MCI progression by LDA-based weighting of longitudinal ventricular surface features.

Boris Gutman, Xue Hua, Priya Rajagopalan, Yi-Yu Chou, Yalin Wang, Igor Yanovsky, Arthur W. Toga, Clifford R. Jack Jr., Michael W. Weiner, Paul M. Thompson

NeuroImage, 2013

2012

CUDA optimization strategies for compute- and memory-bound neuroimaging algorithms.

Daren Lee, Ivo D. Dinov, Bin Dong, Boris Gutman, Igor Yanovsky, Arthur W. Toga

Comput. Methods Programs Biomed., 2012

Multigrid Narrow Band Surface Reconstruction via Level Set Functions.

Jian Ye, Igor Yanovsky, Bin Dong, Rima Gandlin, Achi Brandt, Stanley J. Osher

Proceedings of the Advances in Visual Computing - 8th International Symposium, 2012

2011

Accurate measurement of brain changes in longitudinal MRI scans using tensor-based morphometry.

Xue Hua, Boris Gutman, Christina P. Boyle, Priya Rajagopalan, Alex D. Leow, Igor Yanovsky, Anand R. Kumar, Arthur W. Toga, Clifford R. Jack Jr., Norbert Schuff, Gene E. Alexander, Kewei Chen, Eric Reiman, Michael W. Weiner, Paul M. Thompson

NeuroImage, 2011

2010

Mapping Alzheimer's disease progression in 1309 MRI scans: Power estimates for different inter-scan intervals.

Xue Hua, Suh Lee, Derrek P. Hibar, Igor Yanovsky, Alex D. Leow, Arthur W. Toga, Clifford R. Jack Jr., Matt A. Bernstein, Eric Reiman, Danielle J. Harvey, John Kornak, Norbert Schuff, Gene E. Alexander, Michael W. Weiner, Paul M. Thompson

NeuroImage, 2010

2009

Alzheimer's Disease Neuroimaging Initiative: A one-year follow up study using tensor-based morphometry correlating degenerative rates, biomarkers and cognition.

Alex D. Leow, Igor Yanovsky, Neelroop Parikshak, Xue Hua, Suh Lee, Arthur W. Toga, Clifford R. Jack Jr., Matt A. Bernstein, Paula J. Britson, Jeffrey L. Gunter, Chadwick P. Ward, Bret J. Borowski, Leslie M. Shaw, John Q. Trojanowski, Adam Fleisher, Danielle J. Harvey, John Kornak, Norbert Schuff, Gene E. Alexander, Michael W. Weiner, Paul M. Thompson, Alzheimer's Disease Neuroimaging Initiative

NeuroImage, 2009

Optimizing power to track brain degeneration in Alzheimer's disease and mild cognitive impairment with tensor-based morphometry: An ADNI study of 515 subjects.

Xue Hua, Suh Lee, Igor Yanovsky, Alex D. Leow, Yi-Yu Chou, April J. Ho, Boris Gutman, Arthur W. Toga, Clifford R. Jack Jr., Matt A. Bernstein, Eric Reiman, Danielle J. Harvey, John Kornak, Norbert Schuff, Gene E. Alexander, Michael W. Weiner, Paul M. Thompson

NeuroImage, 2009

Comparing registration methods for mapping brain change using tensor-based morphometry.

Igor Yanovsky, Alex D. Leow, Suh Lee, Stanley J. Osher, Paul M. Thompson

Medical Image Anal., 2009

2008

Validating unbiased registration on longitudinal MRI scans from the Alzheimer'S Disease neuroimaging initiative (ADNI).

Igor Yanovsky, Paul M. Thompson, Stanley J. Osher, Xue Hua, David W. Shattuck, Arthur W. Toga, Alex D. Leow

Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008

Asymmetric and symmetric unbiased image registration: Statistical assessment of performance.

Igor Yanovsky, Paul M. Thompson, Stanley J. Osher, Alex D. Leow

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2008

Multimodal unbiased image matching via mutual information.

Igor Yanovsky, Paul M. Thompson, Stanley J. Osher, Alex D. Leow

Proceedings of the Computational Imaging VI, 2008

2007

Statistical Properties of Jacobian Maps and the Realization of Unbiased Large-Deformation Nonlinear Image Registration.

Alex D. Leow, Igor Yanovsky, Ming-Chang Chiang, Agatha D. Lee, Andrea D. Klunder, Allen Lu, James T. Becker, Simon W. Davis, Arthur W. Toga, Paul M. Thompson

IEEE Trans. Medical Imaging, 2007

Log-unbiased large-deformation image registration.

Igor Yanovsky, Stanley J. Osher, Paul M. Thompson, Alex D. Leow

Proceedings of the VISAPP 2007: Proceedings of the Second International Conference on Computer Vision Theory and Applications, Barcelona, Spain, March 8-11, 2007, 2007

Quantifying Deformation Using Information Theory: The Log-Unbiased Nonlinear Registration.

Igor Yanovsky, Ming-Chang Chiang, Paul M. Thompson, Andrea D. Klunder, James T. Becker, Simon W. Davis, Arthur W. Toga, Alex D. Leow

Proceedings of the 2007 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007

Multiphase Segmentation of Deformation using Logarithmic Priors.

Igor Yanovsky, Paul M. Thompson, Stanley J. Osher, Luminita A. Vese, Alex D. Leow

Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007

Topology Preserving Log-Unbiased Nonlinear Image Registration: Theory and Implementation.

Igor Yanovsky, Paul M. Thompson, Stanley J. Osher, Alex D. Leow

Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007