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Cheng Q, Bilgin CCagatay, Fonteney G, Chang H, Henderson M, Han J, Parvin B.  2016.  Stiffness of the microenvironment upregulates ERBB2 expression in 3D cultures of MCF10A within the range of mammographic density.. Sci Rep. 6:28987.
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 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, 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, 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, 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, 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, Yang Q, Parvin B.  2007.  Segmentation of heterogeneous blob objects through voting and level set formulation. Pattern Recognition Letters. 28:1781–1787.
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, 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, 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, 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, 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, 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, Auer M, Parvin B.  2009.  Structural Annotation of EM Images by Graph Cut. Proceedings of the 2009 {IEEE} International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28 - July 1, 2009.
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, 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, Nayak N, Spellman PT, Parvin B.  2013.  Characterization of Tissue Histopathology via Predictive Sparse Decomposition and Spatial Pyramid Matching. Medical Image Computing and Computer-Assisted Intervention - {MICCAI} 2013 - 16th International Conference, Nagoya, Japan, September 22-26, 2013, 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, 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, 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, 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}.
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.