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Chang H, Zhou Y, Spellman PT, Parvin B.  2013.  Stacked Predictive Sparse Coding for Classification of Distinct Regions in Tumor Histopathology. {IEEE} International Conference on Computer Vision, {ICCV} 2013, Sydney, Australia, December 1-8, 2013.
Chang H, Parvin B.  2010.  Multiphase level set for automated delineation of membrane-bound macromolecules. Proceedings of the 2010 {IEEE} International Symposium on Biomedical Imaging: From Nano to Macro, Rotterdam, The Netherlands, 14-17 April, 2010.
Chang H, Yang X, Moore J, Liu X-P, Jen K-Y, Snijders AM, Ma L, Chou W, Corchado-Cobos R, García-Sancha N et al..  2021.  From Mouse to Human: Cellular Morphometric Subtype Learned From Mouse Mammary Tumors Provides Prognostic Value in Human Breast Cancer.. Front Oncol. 11:819565.
Chang H, Wen Q, Parvin B.  2015.  Coupled segmentation of nuclear and membrane-bound macromolecules through voting and multiphase level set. Pattern Recognition. 48:882–893.
Chang H, Yang Q, Parvin B.  2007.  Segmentation of heterogeneous blob objects through voting and level set formulation. Pattern Recognition Letters. 28:1781–1787.
Chang H, Fontenay G, Bilgin CCagatay, Borowsky A, Spellman P, Parvin B.  2013.  Molecular Correlates of Morphometric Subtypes in Glioblastoma Multiforme. Computational Systems Biology: From Molecular Mechanisms to Disease: Second Edition. :423–454.
Chang H, Han J, Spellman PT, Parvin B.  2012.  Multireference Level Set for the Characterization of Nuclear Morphology in Glioblastoma Multiforme. {IEEE} Trans. Biomed. Engineering. 59:3460–3467.
Chang H, Spellman PT, Parvin B.  2015.  Predictive sparse morphometric context for classification of histology sections. 12th {IEEE} International Symposium on Biomedical Imaging, {ISBI} 2015, Brooklyn, NY, USA, April 16-19, 2015.
Chang H, DeFilippis RAnna, Tlsty TD, Parvin B.  2008.  Scoring histological sections through immunohistochemistry. Proceedings of the 2008 {IEEE} International Symposium on Biomedical Imaging: From Nano to Macro, Paris, France, May 14-17, 2008.
Chang H, Parvin B.  2006.  Segmentation of Three Dimensional Cell Culture Models from a Single Focal Plane. Advances in Visual Computing, Second International Symposium, {ISVC} 2006 Lake Tahoe, NV, USA, November 6-8, 2006. Proceedings, Part {II}.
Chang H, DeFilippis RAnna, Tlsty TD, Parvin B.  2009.  Graphical methods for quantifying macromolecules through bright field imaging. Bioinformatics. 25:1070–1075.
Chang H, Park C, Parvin B.  2007.  Quantitative Representation of Three-dimensional Cell Culture Models. Proceedings of the 2007 {IEEE} International Symposium on Biomedical Imaging: From Nano to Macro, Washington, DC, USA, April 12-16, 2007.
Chang H, Yang Q, Pan C.  2006.  An Iterative Bayesian Approach for Digital Matting. 18th International Conference on Pattern Recognition {(ICPR} 2006), 20-24 August 2006, Hong Kong, China.
Chang H, Loss LA, Spellman PT, Borowsky A, Parvin B.  2012.  Batch-invariant nuclear segmentation in whole mount histology sections. 9th {IEEE} International Symposium on Biomedical Imaging: From Nano to Macro, {ISBI} 2012, May 2-5, 2012, Barcelona, Spain, Proceedings.
Chang H, Andarawewa KL, Han J, Barcellos-Hoff MHelen, Parvin B.  2007.  Perceptual Grouping of Membrane Signals in Cell-Based Assays. Proceedings of the 2007 {IEEE} International Symposium on Biomedical Imaging: From Nano to Macro, Washington, DC, USA, April 12-16, 2007.
Chang H, Han J, Borowsky A, Loss LA, Gray JW, Spellman PT, Parvin B.  2013.  Invariant Delineation of Nuclear Architecture in Glioblastoma Multiforme for Clinical and Molecular Association. {IEEE} Trans. Med. Imaging. 32:670–682.
Chang H, Han J, Zhong C, Snijders AM, Mao J-H.  2018.  Unsupervised Transfer Learning via Multi-Scale Convolutional Sparse Coding for Biomedical Applications.. IEEE Trans Pattern Anal Mach Intell. 40(5):1182-1194.
Chang H, Yang Q, Parvin B.  2008.  A Bayesian approach for image segmentation with shape priors. 2008 {IEEE} Computer Society Conference on Computer Vision and Pattern Recognition {(CVPR} 2008), 24-26 June 2008, Anchorage, Alaska, {USA}.
Chang H, Borowsky A, Spellman PT, Parvin B.  2013.  Classification of Tumor Histology via Morphometric Context. 2013 {IEEE} Conference on Computer Vision and Pattern Recognition, Portland, OR, USA, June 23-28, 2013.
Chang H, Fontenay G, Han J, Cong G, Baehner FL, Gray JW, Spellman PT, Parvin B.  2011.  Morphometic analysis of TCGA glioblastoma multiforme. {BMC} Bioinformatics. 12:484.
Chang H, Zhou Y, Borowsky A, Barner KE, Spellman PT, Parvin B.  2015.  Stacked Predictive Sparse Decomposition for Classification of Histology Sections. International Journal of Computer Vision. 113:3–18.
Chang H, Yang Q, Auer M, Parvin B.  2007.  Modeling of Front Evolution with Graph Cut Optimization. Proceedings of the International Conference on Image Processing, {ICIP} 2007, September 16-19, 2007, San Antonio, Texas, {USA}.

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