{"id":53,"date":"2015-09-16T15:48:37","date_gmt":"2015-09-16T15:48:37","guid":{"rendered":"http:\/\/casfaculty.case.edu\/weihong-guo\/?page_id=53"},"modified":"2025-05-16T11:08:23","modified_gmt":"2025-05-16T15:08:23","slug":"publications","status":"publish","type":"page","link":"https:\/\/casfaculty.case.edu\/weihong-guo\/publications\/","title":{"rendered":"Publications"},"content":{"rendered":"<h2>Research Interests:<\/h2>\n<ul>\n<li>Mathematical Imaging Science and Computer Vision<\/li>\n<li>Deep Learning<\/li>\n<li>Inverse Problems<\/li>\n<li>Sparse Optimization<\/li>\n<li>Scientific Computing<\/li>\n<li>Deep Learning<\/li>\n<li>Applications: Biomedicine, Genetics and Others<\/li>\n<\/ul>\n<h2 style=\"text-align: left\"><span style=\"color: #0a304e\">Selected Publications (See <a href=\"https:\/\/artscimedia.case.edu\/wp-content\/uploads\/sites\/166\/2025\/05\/16110802\/WeihongGuoCVLatest.pdf\">CV<\/a> for the complete list)<\/span><\/h2>\n<ol>\n<li>Jiasen Zhang, Mingrui Zhang, <strong>Weihong Guo<\/strong>, Brian Xavier, Michael Bolen, Xiaojuan Li, \u201cDetection-guided deep learning-based model with spatial regularization for lung nodule segmentation\u201d, 15 (5), Quantitative Imaging in Medicine and Surgery, 2025, <a href=\"https:\/\/artscimedia.case.edu\/wp-content\/uploads\/sites\/166\/2025\/05\/16104716\/2025_qims-Lung-Nodule-Seg.pdf\">PDF<\/a><\/li>\n<li>Junying Meng, <strong>Weihong Guo<\/strong>, Jun Liu and Mingrui Yang, Assemble a Learnable MumfordShah Type Model with Multi-Grid Technique for Image Segmentation, accepted, to appear, SIAM Journal on Imaging Sciences, 2024, <a href=\"https:\/\/artscimedia.case.edu\/wp-content\/uploads\/sites\/166\/2024\/08\/26112240\/23m1577663.pdf\">PDF<\/a><\/li>\n<li>Paramjyoti Mohapatraa, Richard Lartey, <strong>Weihong Guo<\/strong>, Michael Judkovich, and Xiaojuan Li, &#8220;A Geometric Flow Approach for Segmentation of Images with Inhomongeneous Intensity and Missing Boundaries&#8221;, Journal of Image and Graphics, Vol. 12, No. 1, pp. 2331, 2024, <a href=\"https:\/\/artscimedia.case.edu\/wp-content\/uploads\/sites\/166\/2024\/08\/26112551\/2309.10935v1.pdf\">PDF<\/a><\/li>\n<li>Jiasen Zhang, <strong>Weihong Guo<\/strong>, A New Regularization for Deep Learning-Based Segmentation of Images with Fine Structures and Low Contrast, MDPI, Sensors, 2023, <a href=\"https:\/\/artscimedia.case.edu\/wp-content\/uploads\/sites\/166\/2024\/08\/26112700\/out.pdf\">PDF<\/a><\/li>\n<li>Haifeng Li ,<strong>Weihong Guo<\/strong>, Jun Liu , Li Cui and Dongxing Xie, Image Segmentation with Adaptive Spatial Priors from Joint Registration, SIAM Journal on Imaging Sciences, Vol.15,No.3, pp.1314-1344, 2022, <a href=\"https:\/\/artscimedia.case.edu\/wp-content\/uploads\/sites\/166\/2022\/09\/22124456\/2022SiamImaging_MuscleSegReg.pdf\">PDF<\/a>.<\/li>\n<li><strong>Weihong Guo, <\/strong>Yifei Lou, Jing Qin, Ming Yan, \u201cA Novel Regularization Based on the Error Function for Sparse Recovery\u201d, Journal of Scientific Computing, 87:31, 2021, <a href=\"https:\/\/artscimedia.case.edu\/wp-content\/uploads\/sites\/166\/2022\/09\/22124447\/2021March_JournalSciComp_ERF_SparseRec.pdf\">PDF<\/a>.<\/li>\n<li>Wei Wan, <strong>Weihong Guo, <\/strong>Haiyang Huang, and Jun Liu, \u201cNon-negative and Non-local Sparse Tensor Factorization Based on Hyperspectral Image Super-resolution\u201d, IEEE transaction on geoscience and remote sensing, to appear, 2020, <a href=\"https:\/\/artscimedia.case.edu\/wp-content\/uploads\/sites\/166\/2020\/05\/14163144\/2020IPI_4DTensorHyperspectralImaging.pdf\">PDF<\/a>.<\/li>\n<li>*Wei Wan, <strong>Weihong Guo<\/strong>, Jun Liu, Haiyang Huang, \u201cNon-local Blind Hyperspectral Image Super Resolution via 4D Sparse Tensor Factorization and Low Rank\u201d, Inverse Problems and Imaging, 2020, 14 (2): 339&#8211;361.<\/li>\n<li>Liang-Jian Deng, Gemine Vivone,<strong>Weihong Guo<\/strong>, Mauro Dalla Mura, Jocelyn Chanussot, \u201cA Variational Pansharpening Approach Based on Reproducible Kernel Hilbert Space and Heaviside Function\u201d, IEEE transaction on image processing, 28 (9), p4330-4344, 2018. <a href=\"https:\/\/artscimedia.case.edu\/wp-content\/uploads\/sites\/166\/2020\/05\/14170352\/2018_TIP_RKHS_Pansharpening.pdf\">PDF.<\/a><\/li>\n<li><strong>*Weihong Guo, <\/strong>Guohui Song and Yue Zhang, \u201cPCM-TV-TFV: A Novel Two-Stage Framework for Image Reconstruction from Fourier Data\u201d, SIAM Journal on Imaging Sciences, 10(4): pp2250-2274, 2017. <a href=\"https:\/\/artscimedia.case.edu\/wp-content\/uploads\/sites\/166\/2020\/05\/14170419\/SIAM2017_PCM-TV-TFV.pdf\">PDF.\u00a0<\/a><\/li>\n<li>Julia Dobrosotskaya<strong>, Weihong Guo, \u201c<\/strong>A PDE-Free Variational Method for Multi-Phase Image Segmentation Based on Multiscale Sparse Representations\u201d, Journal of Imaging, MDPI, 2017. <a href=\"https:\/\/artscimedia.case.edu\/wp-content\/uploads\/sites\/166\/2020\/05\/14170345\/2017_JournalImage_MultiPhaseSeg_JuliaGuo.pdf\">PDF.\u00a0<\/a><\/li>\n<li>*Si Wang, <strong>Weihong Guo<\/strong>, Ting-Zhu Huang, Garvesh Raskutti, \u201cImage inpainting using reproducing kernel Hilbert space and Heaviside functions\u201d, Journal of Computational and Applied Mathematics, volume 311, issue C, p551-564, 2017. <a href=\"https:\/\/artscimedia.case.edu\/wp-content\/uploads\/sites\/166\/2020\/05\/14170341\/2017_JourCompAppMath_Si_RKHS_Inpainting.pdf\">PDF.<\/a><\/li>\n<li>Yue Zhang, Soumya Ray, <strong>Weihong Guo<\/strong>, \u201cOn the Consistency for Feature Selection with LASSO for Nonlinear Targets\u201d, Int. Conf. Machine Learning, 2016. <a href=\"https:\/\/artscimedia.case.edu\/wp-content\/uploads\/sites\/166\/2020\/05\/14170324\/2016_ICML_FeatureSelection_Lasso_NonlinearMeas.pdf\">PDF.<\/a><\/li>\n<li>Thomas Atta-Fosu, <strong>Weihong Guo<\/strong>, Dana Jeter, Claudia Mizutani, Nathan Stopczynski, Rui Sousa-Neves, \u201c3D Clumped Cell Segmentation Using Curvature Based Seeded Watershed\u201d, Journal of Imaging, MDPI, 2016. <a href=\"https:\/\/artscimedia.case.edu\/wp-content\/uploads\/sites\/166\/2020\/05\/14170335\/2016_MDPI_JImaging_WatershedSeg.pdf\">PDF.<\/a><\/li>\n<li>Liangjian Deng,<strong>Weihong Guo<\/strong>, Ting-Zhu Huang,\u201cWeighted Single Image Super-Resolution by Approximated Heaviside Functions\u201d, Information Sciences, volume 348 Issue C, p107-123, 2016. <a href=\"https:\/\/artscimedia.case.edu\/wp-content\/uploads\/sites\/166\/2020\/05\/14170331\/2016_information-science_SingleImage_SR_Heaviside.pdf\">PDF.<\/a><\/li>\n<li>Liangjian Deng, <strong>Weihong Guo<\/strong>, Ting-Zhu Huang,Single image super-resolution via an iterative reproducing kernel Hilbert space method, IEEE Transactions on Circuits and Systems for Video Technology, 2015. <a href=\"https:\/\/artscimedia.case.edu\/wp-content\/uploads\/sites\/166\/2020\/05\/14170426\/TCSVT_SingleSR2016.pdf\">PDF<\/a>.<\/li>\n<li><strong>Weihong Guo<\/strong>, Jing Qin, Wotao Yin, \u201cA new detail-preserving regularization scheme\u201d, SIAM J. Imaging Science, 7(2), p1309-1334,2014. <a href=\"https:\/\/artscimedia.case.edu\/wp-content\/uploads\/sites\/166\/2020\/05\/14170323\/2014_SiamImaging_TGVShearletCS.pdf\">PDF.<\/a><\/li>\n<li><strong>Weihong Guo<\/strong>, Jing Qin, \u201cA geometry guided image denoising scheme\u201d, Inverse Problems and Imaging, 7(2): p499-521, 2013. <a href=\"https:\/\/artscimedia.case.edu\/wp-content\/uploads\/sites\/166\/2020\/05\/14170407\/IPI2013Final.pdf\">PDF.<\/a><\/li>\n<li><strong>Weihong Guo<\/strong>, Ming-Jun Lai, \u201cBox spline wavelet frames for image edge analysis, SIAM J. Imaging Science, 6(3), p1553-1578, 2013. <a href=\"https:\/\/artscimedia.case.edu\/wp-content\/uploads\/sites\/166\/2020\/05\/14170416\/SIAM13_BoxSpline.pdf\">PDF.<\/a><\/li>\n<li><strong>Weihong Guo<\/strong>, Wotao Yin, \u201cEdge guided reconstruction for Compressive Imaging\u201d, SIAM J. Imaging Science, 5(3), p809-834, 2012. <a href=\"https:\/\/artscimedia.case.edu\/wp-content\/uploads\/sites\/166\/2020\/05\/14170359\/EdgeCS_SIAM12.pdf\">PDF.<\/a><\/li>\n<li>Jun Miao, <strong>Weihong Guo<\/strong>, Sreenath Narayan, David L. Wilson, \u201cA simple application of compressed sensing to further accelerate partially parallel imaging\u201d, Magnetic Resonance Imaging, 31(1), p75-85, 2012. <a href=\"https:\/\/artscimedia.case.edu\/wp-content\/uploads\/sites\/166\/2020\/05\/14170409\/MRI2012_ParallelCS.pdf\">PDF.<\/a><\/li>\n<li>Feng Huang, Yunmei Chen, Wotao Yin, Wei Lin, Xiaojing Ye, <strong>Weihong Guo<\/strong>, Arne Reykowski, <em>\u201cA rapid and robust numerical algorithm for sensitivity encoding with sparsity constraints: Self-feeding sparse SENSE\u201d, <\/em>Magnetic Resonance in Medicine, Oct; 64(4): p1078-88, 2010. <a href=\"https:\/\/artscimedia.case.edu\/wp-content\/uploads\/sites\/166\/2020\/05\/14170412\/MRM_2010_SparseSENSE.pdf\">PDF.<\/a><\/li>\n<li>Chuan Li, Qi Hao, <strong>Weihong Guo,<\/strong> Fei Hu, \u201cA Hybrid Approach for Compressive Neural Activity Detection with Functional MR Images<em>\u201d<\/em>, Proceedings of IEEE Engineering in Medicine and Biology Society, p4787-4790, 2009. <a href=\"https:\/\/artscimedia.case.edu\/wp-content\/uploads\/sites\/166\/2020\/05\/14170353\/A-Hybrid-Approach-for-Compressive-Neural-Activity-Detection-with-Functional-MR-Images.pdf\">PDF.<\/a><\/li>\n<li><strong>Weihong Guo<\/strong>, Feng Huang, \u201c<em>A Local Mutual Information Guided Denoising Technique and Its Application to Self-calibrated Partially Parallel Imaging<\/em><em>\u201d,<\/em> Metaxas et al. (Eds): proceedings of Medical Image Computing and Computer Assisted Intervention, Part II, Lecture notes on Computer Science 5242, p937-947, 2008. <a href=\"https:\/\/artscimedia.case.edu\/wp-content\/uploads\/sites\/166\/2020\/05\/14191949\/2008_LMIDenoising_MICCAI.pdf\">PDF.<\/a><\/li>\n<li><strong>Weihong Guo<\/strong>, Yunmei Chen, Qingguo Zeng, \u201cA<em> Geometric Flow Based Approach for Diffusion Tensor Image Segmentation\u201d <\/em>Special issue on Mathematical and Statistical Methods for Diagnoses and Therapies, Journal of Philosophical Transaction A: Mathematical, Physical and Engineering Sciences, 366(1874): p2279-92, 2008. <strong>Invited cover paper.<\/strong><\/li>\n<li>Yunmei Chen, <strong>Weihong Guo<\/strong>, Qingguo Zeng, Yijun Liu, \u201cA<em> Nonstandard Smoothing in Reconstruction of Apparent Diffusion Coefficient Profiles from Diffusion Weighted Images<\/em><em>\u201d, <\/em>Journal of Inverse Problems and Imaging (IPI), Volume 2, Number 2, 205-224, 2008.<\/li>\n<li><strong>Weihong Guo<\/strong>, \u201cM<em>edical Image Segmentation and Diffusion Weighted Magnetic Resonance Image Analysis\u201d,<\/em> PhD Thesis, 2007. <a href=\"https:\/\/artscimedia.case.edu\/wp-content\/uploads\/sites\/166\/2020\/05\/14170429\/WeihongDissertation.pdf\">PDF<\/a>.<\/li>\n<\/ol>\n<p style=\"text-align: left\">\n","protected":false},"excerpt":{"rendered":"<p>Research Interests:<\/p>\n<p> \tMathematical Imaging Science and Computer Vision<br \/>\n \tDeep Learning<br \/>\n \tInverse Problems<br \/>\n \tSparse Optimization<br \/>\n \tScientific Computing<br \/>\n \tDeep Learning<br \/>\n \tApplications: Biomedicine, Genetics and Others<\/p>\n<p>Selected Publications (See <a href=\"https:\/\/artscimedia.case.edu\/wp-content\/uploads\/sites\/166\/2025\/05\/16110802\/WeihongGuoCVLatest.pdf\">CV<\/a> for the complete list)<\/p>\n<p> \tJiasen Zhang, Mingrui Zhang, <strong>Weihong Guo<\/strong>, Brian Xavier, Michael Bolen, Xiaojuan Li, \u201cDetection-guided deep learning-based model with spatial regularization for lung nodule segmentation\u201d, 15 (5), Quantitative Imaging in Medicine and Surgery, 2025, <a href=\"https:\/\/artscimedia.case.edu\/wp-content\/uploads\/sites\/166\/2025\/05\/16104716\/2025_qims-Lung-Nodule-Seg.pdf\">PDF<\/a><br \/>\n \tJunying Meng, <strong>Weihong Guo<\/strong>, Jun Liu and Mingrui Yang, Assemble a Learnable MumfordShah Type Model with Multi-Grid Technique for Image Segmentation,<\/p>\n<p><a href=\"https:\/\/casfaculty.case.edu\/weihong-guo\/publications\/\" class=\"more-link\">Continue reading&#8230; <span class=\"screen-reader-text\">Publications<\/span><\/a><\/p>\n","protected":false},"author":19,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"spay_email":""},"_links":{"self":[{"href":"https:\/\/casfaculty.case.edu\/weihong-guo\/wp-json\/wp\/v2\/pages\/53"}],"collection":[{"href":"https:\/\/casfaculty.case.edu\/weihong-guo\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/casfaculty.case.edu\/weihong-guo\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/casfaculty.case.edu\/weihong-guo\/wp-json\/wp\/v2\/users\/19"}],"replies":[{"embeddable":true,"href":"https:\/\/casfaculty.case.edu\/weihong-guo\/wp-json\/wp\/v2\/comments?post=53"}],"version-history":[{"count":11,"href":"https:\/\/casfaculty.case.edu\/weihong-guo\/wp-json\/wp\/v2\/pages\/53\/revisions"}],"predecessor-version":[{"id":243,"href":"https:\/\/casfaculty.case.edu\/weihong-guo\/wp-json\/wp\/v2\/pages\/53\/revisions\/243"}],"wp:attachment":[{"href":"https:\/\/casfaculty.case.edu\/weihong-guo\/wp-json\/wp\/v2\/media?parent=53"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}