Publication

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Book Chapter
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.
Conference Paper
Loss LA, Bebis G, Chang H, Auer M, Sarkar P, Parvin B.  2012.  Automatic segmentation and quantification of filamentous structures in electron tomography. {ACM} International Conference on Bioinformatics, Computational Biology and Biomedicine, BCB’ 12, Orlando, FL, {USA} - October 08 - 10, 2012.
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, 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}.
Zhou Y, Chang H, Barner KE, Spellman PT, Parvin B.  2014.  Classification of Histology Sections via Multispectral Convolutional Sparse Coding. 2014 {IEEE} Conference on Computer Vision and Pattern Recognition, {CVPR} 2014, Columbus, OH, USA, June 23-28, 2014.
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.
Nayak N, Chang H, Borowsky A, Spellman PT, Parvin B.  2013.  Classification of tumor histopathology via sparse feature learning. {ISBI}.
Han J, Chang H, Loss LA, Zhang K, Baehner FL, Gray JW, Spellman PT, Parvin B.  2011.  Comparison of sparse coding and kernel methods for histopathological classification of gliobastoma multiforme. Proceedings of the 8th {IEEE} International Symposium on Biomedical Imaging: From Nano to Macro, {ISBI} 2011, March 30 - April 2, 2011, Chicago, Illinois, {USA}.
Loss LA, Chang H, Sarkar P, Auer M, Parvin B.  2012.  Detection of 3D filamentous networks from tomographic electron microscopy. 9th {IEEE} International Symposium on Biomedical Imaging: From Nano to Macro, {ISBI} 2012, May 2-5, 2012, Barcelona, Spain, Proceedings.
Le QV, Han J, Gray JW, Spellman PT, Borowsky A, Parvin B.  2012.  Learning invariant features of tumor signature with independent subspace analysis. 9th {IEEE} International Symposium on Biomedical Imaging: From Nano to Macro, {ISBI} 2012, May 2-5, 2012, Barcelona, Spain, Proceedings.
Han J, Chang H, Fontenay G, Spellman PT, Borowsky A, Parvin B.  2012.  Molecular bases of morphometric composition in Glioblastoma multiforme. 9th {IEEE} International Symposium on Biomedical Imaging: From Nano to Macro, {ISBI} 2012, May 2-5, 2012, Barcelona, Spain, Proceedings.
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, 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.
Journal Article
Srinivasa G, Fickus MC, Guo Y, Linstedt AD, Kovacević J.  2009.  Active mask segmentation of fluorescence microscope images.. IEEE Trans Image Process. 18:1817-29.
Liu X-P, Jin X, Ahmadian SSeyed, Yang X, Tian S-F, Cai Y-X, Chawla K, Snijders AM, Xia Y, van Diest PJ et al..  2022.  Clinical Significance and Molecular Annotation of Cellular Morphometric Subtypes in Lower Grade Gliomas discovered by Machine Learning.. Neuro Oncol.
Zhang Y, Chen T, Zhang Y, Hu Q, Wang X, Chang H, Mao J-H, Snijders AM, Xia Y.  2021.  Contribution of trace element exposure to gestational diabetes mellitus through disturbing the gut microbiome.. Environ Int. 153:106520.
Yan H, Mao X, Yang X, Xia Y, Wang C, Wang J, Xia R, Xu X, Wang Z, Li Z et al..  2021.  Development and Validation of an Unsupervised Feature Learning System for Leukocyte Characterization and Classification: A Multi-Hospital Study. 129(6):1837-1856.
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.
Mao J-H, Kim Y-M, Zhou Y-X, Hu D, Zhong C, Chang H, Brislawn CJ, Fansler S, Langley S, Wang Y et al..  2020.  Genetic and metabolic links between the murine microbiome and memory.. Microbiome. 8(1):53.
He L, Wang P, Schick SF, Huang A, Jacob P, Yang X, Xia Y, Snijders AM, Mao J-H, Chang H et al..  2021.  Genetic background influences the effect of thirdhand smoke exposure on anxiety and memory in Collaborative Cross mice.. Sci Rep. 11(1):13285.
He L, Wang P, Schick SF, Huang A, Jacob P, Yang X, Xia Y, Snijders AM, Mao J-H, Chang H et al..  2021.  Genetic background influences the effect of thirdhand smoke exposure on anxiety and memory in Collaborative Cross mice.. Sci Rep. 11(1):13285.
Jin X, Zhang Y, Celniker SE, Xia Y, Mao J-H, Snijders AM, Chang H.  2021.  Gut microbiome partially mediates and coordinates the effects of genetics on anxiety-like behavior in Collaborative Cross mice.. Sci Rep. 11(1):270.
Hung M-S, Xu Z, Chen Y, Smith E, Mao J-H, Hsieh D, Lin Y-C, Yang C-T, Jablons DM, You L.  2013.  Hematein, a casein kinase II inhibitor, inhibits lung cancer tumor growth in a murine xenograft model.. Int J Oncol. 43:1517-22.
Vatter FAPelissie, Schapiro D, Chang H, Borowsky AD, Lee JK, Parvin B, Stampfer MR, LaBarge MA, Bodenmiller B, Lorens JB.  2018.  High-Dimensional Phenotyping Identifies Age-Emergent Cells in Human Mammary Epithelia.. Cell Rep. 23(4):1205-1219.
Vatter FAPelissie, Schapiro D, Chang H, Borowsky AD, Lee JK, Parvin B, Stampfer MR, LaBarge MA, Bodenmiller B, Lorens JB.  2018.  High-Dimensional Phenotyping Identifies Age-Emergent Cells in Human Mammary Epithelia.. Cell Rep. 23(4):1205-1219.

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