| Reducing Artifacts in JPEG Decompression via a Learned Dictionary H Chang, KM Ng, T Zeng IEEE Transactions on Signal Processing 62 (3), 718 - 728, 2014 | 214 | 2014 |
| Volume Preserved Mass-spring Model with Novel Constraints for Soft Tissue Deformation Y Duan, W Huang, H Chang, W Chen, J Zhou, S Teo, Y Su, C Chui, ... IEEE Journal of Biomedical and Health Informatics 20 (1), 268 - 280, 2016 | 86 | 2016 |
| Total variation based phase retrieval for Poisson noise removal H Chang, Y Lou, Y Duan, S Marchesini SIAM Journal on Imaging Sciences 11 (1), 24-55, 2018 | 76 | 2018 |
| Blind Ptychographic Phase Retrieval via Convergent Alternating Direction Method of Multipliers H Chang, P Enfedaque, S Marchesini SIAM Journal on Imaging Sciences, 12 (1), 153-185, 2019 | 61 | 2019 |
| Phase Retrieval from Incomplete Magnitude Information via Total Variation Regularization H Chang, Y Lou, KM Ng, T Zeng SIAM Journal on Scientific Computing 38 (6), A3672–A3695, 2016 | 58 | 2016 |
| The L0 regularized Mumford-Shah Model for Bias Correction and Segmentation of Medical Images Y Duan, H Chang, W Huang, J Zhou, Z Lu, C Wu IEEE Transaction on Image Processing 24 (11), 2015 | 57 | 2015 |
| Retinex image enhancement via a learned dictionary H Chang, M Ng, W Wang, T Zeng Optical Engineering 54 (1), 013107, 2015 | 44 | 2015 |
| A new adaptive boosting total generalized variation (TGV) technique for image denoising and inpainting S Wali, H Zhang, H Chang, C Wu Journal of Visual Communication and Image Representation 59, 39-51, 2019 | 36 | 2019 |
| Convergence rate of overlapping domain decomposition methods for the Rudin-Osher-Fatami Model based on a dual formulation H Chang, XC Tai, LL Wang, D Yang SIAM Journal on Imaging Sciences 8 (1), 564–591, 2015 | 36 | 2015 |
| A New Variational Method for Bias Correction and its Applications to Rodent Brain Extraction H Chang, W Huang, C Wu, S Huang, C Guan, S Sekar, KK Bhakoo, ... IEEE Transactions on Medical Imaging 36 (3), 721 - 733, 2017 | 35 | 2017 |
| Advanced Denoising for X-ray Ptychography H Chang, P Enfedaque, S Marchesini, J Reinhardt, B Enders, YS Yu, ... Optics Express 27 (6), 2019 | 29 | 2019 |
| Domain decomposition methods for nonlocal total variation image restoration H Chang, X Zhang, XC Tai, D Yang Journal of scientific computing 60, 79-100, 2014 | 29 | 2014 |
| Variational Phase Retrieval with Globally Convergent Preconditioned Proximal Algorithm H CHANG, S MARCHESINI, Y LOU, T ZENG SIAM Journal on Imaging Sciences 11 (1), 56–93, 2018 | 28 | 2018 |
| Deep prior-based sparse representation model for diffraction imaging: A plug-and-play method B Shi, Q Lian, H Chang Signal Processing 168, 107350, 2020 | 25 | 2020 |
| Partially Coherent Ptychography by Gradient Decomposition of the Probe H Chang, P Enfedaque, Y Lou, S Marchesini Acta Crystallographica Section A: Foundations and Advances 74 (3), 157-169, 2018 | 23 | 2018 |
| Domain decomposition method for image deblurring J Xu, HB Chang, J Qin Journal of Computational and Applied Mathematics 271, 401-414, 2014 | 17 | 2014 |
| A two-stage image segmentation method using Euler's elastica regularized Mumford-Shah model Y Duan, W Huang, J Zhou, H Chang, T Zeng 2014 22nd International Conference on Pattern Recognition, 118-123, 2014 | 16 | 2014 |
| Simultaneous Bias Correction and Image Segmentation via Regularized Mumford-shah Model Y Duan, H Chang, W Huang, J Zhou IEEE International Conference on Image Processing (ICIP, oral), 2014 | 16 | 2014 |
| Denoising Poisson phaseless measurements via orthogonal dictionary learning H Chang, S Marchesini Optics Express 26 (16), 19773-19796, 2018 | 14 | 2018 |
| Proximal ADMM for Euler’s Elastica Based Image Decomposition Model Z Liu, S Wali, Y Duan, H Chang, C Wu, XC Tai Numer. Math. Theor. Meth. Appl., 2018 | 13 | 2018 |
Stefano MarchesiniSLAC National Accelerator LaboratoryVerified email at stanford.edu
