| A wavelet-Laplace variational technique for image deconvolution and inpainting JA Dobrosotskaya, AL Bertozzi IEEE Transactions on Image Processing 17 (5), 657-663, 2008 | 179 | 2008 |
| Semi-supervised learning of heterogeneous data in remote sensing imagery J Benedetto, W Czaja, J Dobrosotskaya, T Doster, K Duke, D Gillis Independent Component Analyses, Compressive Sampling, Wavelets, Neural Net …, 2012 | 34 | 2012 |
| Integration of heterogeneous data for classification in hyperspectral satellite imagery J Benedetto, W Czaja, J Dobrosotskaya, T Doster, K Duke, D Gillis Algorithms and Technologies for Multispectral, Hyperspectral, and …, 2012 | 29 | 2012 |
| Wavelet analogue of the Ginzburg–Landau energy and its Γ-convergence JA Dobrosotskaya, AL Bertozzi Interfaces and Free Boundaries 12 (4), 497-525, 2011 | 25 | 2011 |
| Analysis of the wavelet Ginzburg--Landau energy in image applications with edges JA Dobrosotskaya, AL Bertozzi SIAM Journal on Imaging Sciences 6 (1), 698-729, 2013 | 16 | 2013 |
| Spatial-spectral operator theoretic methods for hyperspectral image classification JJ Benedetto, W Czaja, J Dobrosotskaya, T Doster, K Duke GEM-International Journal on Geomathematics 7, 275-297, 2016 | 12 | 2016 |
| Modeling photo-bleaching kinetics to create high resolution maps of rod rhodopsin in the human retina M Ehler, J Dobrosotskaya, D Cunningham, WT Wong, EY Chew, W Czaja, ... PLoS One 10 (7), e0131881, 2015 | 9 | 2015 |
| On the uniformity of the approximation for -associated Stirling numbers of the second Kind H Connamacher, J Dobrosotskaya Contributions to Discrete Mathematics 15 (3), 25-42, 2020 | 8 | 2020 |
| Composite wavelet representations for reconstruction of missing data W Czaja, J Dobrosotskaya, B Manning Independent Component Analyses, Compressive Sampling, Wavelets, Neural Net …, 2013 | 8 | 2013 |
| Modeling of the rhodopsin bleaching with variational analysis of retinal images J Dobrosotskaya, M Ehler, EJ King, RF Bonner, W Czaja Medical Imaging 2011: Image Processing 7962, 1322-1330, 2011 | 8 | 2011 |
| High-resolution autofluorescence imaging for mapping molecular processes within the human retina M Ehler, Z Majumdar, E King, J Dobrosotskaya, E Chew, W Wong, ... 26th Southern Biomedical Engineering Conference SBEC 2010, April 30-May 2 …, 2010 | 7 | 2010 |
| Sparse representation and variational methods in retinal image processing J Dobrosotskaya, M Ehler, E King, R Bonner, W Czaja 26th Southern Biomedical Engineering Conference SBEC 2010, April 30-May 2 …, 2010 | 7 | 2010 |
| Multiscale and multidirectional tight frames for image analysis EH Bosch, A Castrodad, JS Cooper, W Czaja, J Dobrosotskaya Proceedings of SPIE 8750, 2013 | 6 | 2013 |
| Modeling photo-bleaching kinetics to map local variations in rod rhodopsin density M Ehler, J Dobrosotskaya, EJ King, W Czaja, RF Bonner Medical Imaging 2011: Computer-Aided Diagnosis 7963, 1081-1087, 2011 | 6 | 2011 |
| A Quantitative Comparison of Background Oriented and Conventional Schlieren Visualization J Dobrosotskaya, A Alrefaie, BE Schmidt AIAA SCITECH 2023 Forum, 2439, 2023 | 3 | 2023 |
| Data adaptive multi-scale representations for image analysis J Dobrosotskaya, W Guo Wavelets and Sparsity XVIII 11138, 49-55, 2019 | 3 | 2019 |
| A PDE-free variational method for multi-phase image segmentation based on multiscale sparse representations J Dobrosotskaya, W Guo Journal of Imaging 3 (3), 26, 2017 | 3 | 2017 |
| Tight frames for multiscale and multidirectional image analysis EH Bosch, A Castrodad, JS Cooper, W Czaja, J Dobrosotskaya Independent Component Analyses, Compressive Sampling, Wavelets, Neural Net …, 2013 | 2 | 2013 |
| Inpainting via sparse recovery with directional constraints XC Chen, J Dobrosotskaya Mathematical foundations of computing 3 (4), 2020 | 1 | 2020 |
| A PDE-free variational model for multiphase image segmentation J Dobrosotskaya, W Guo Wavelets and Sparsity XVI 9597, 24-33, 2015 | 1 | 2015 |
Andrea BertozziProf. of Math. and Mech. & Aero. Eng., Betsy Wood Knapp Chair for Innovation and Creativity, UCLA在 math.ucla.edu 的电子邮件经过验证
