Publication

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2022
Mao AW, Barck H, Young J, Paley A, Mao J-H, Chang H.  2022.  Identification of a novel cancer microbiome signature for predicting prognosis of human breast cancer patients.. Clin Transl Oncol. 24(3):597-604.
2021
Yang H, Zhang M, Mao X-Y, Chang H, Perez-Losada J, Mao J-H.  2021.  Distinct Clinical Impact and Biological Function of Angiopoietin and Angiopoietin-like Proteins in Human Breast Cancer.. Cells. 10(10)
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.
2020
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.
2018
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.
2017
Zhong C, Han J, Borowsky A, Parvin B, Wang Y, Chang H.  2017.  When machine vision meets histology: A comparative evaluation of model architecture for classification of histology sections.. Med Image Anal. 35:530-543.
2016
Bilgin CCagatay, Fontenay G, Cheng Q, Chang H, Han J, Parvin B.  2016.  BioSig3D: High Content Screening of Three-Dimensional Cell Culture Models. PLoS One. 11:e0148379.
Han J, Wang Y, Cai W, Borowsky A, Parvin B, Chang H.  2016.  Integrative Analysis of Cellular Morphometric Context Reveals Clinically Relevant Signatures in Lower Grade Glioma. Medical Image Computing and Computer-Assisted Intervention - {MICCAI} 2016 - 19th International Conference, Athens, Greece, October 17-21, 2016, Proceedings, Part {I}.
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.
Zhong C, Han J, Borowsky A, Parvin B, Wang Y, Chang H.  2016.  When machine vision meets histology: A comparative evaluation of model architecture for classification of histology sections.. Med Image Anal. 35:530-543.
2015
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.
Parvin B, Chang H, Han J, Fontenay G.  2015.  Diagnostic and prognostic histopathology system using morphometric indices.
Parvin B., Chang H, Zhou Y..  2015.  Methods for delineating cellular regions and classifying regions of histopathology and microanatomy.
Zhou Y, Chang H, Barner KE, Parvin B.  2015.  Nuclei segmentation via sparsity constrained convolutional regression. 12th {IEEE} International Symposium on Biomedical Imaging, {ISBI} 2015, Brooklyn, NY, USA, April 16-19, 2015.
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.
Groesser T, Fontenay GV, Han J, Chang H, Pluth J, Parvin B.  2015.  Quantification of the Dynamics of DNA Repair to Ionizing Radiation via Colocalization of 53BP1 and γH2AX. Video Bioinformatics: From Live Imaging to Knowledge.
Groesser T, Fontenay GV, Han J, Chang H, Pluth J, Parvin B.  2015.  Quantification of the Dynamics of DNA Repair to Ionizing Radiation via Colocalization of 53BP1 and γH2AX. Video Bioinformatics: From Live Imaging to Knowledge.
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.
2014
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.
DeFilippis RAnna, Fordyce C, Patten K, Chang H, Zhao J, Fontenay GV, Kerlikowske K, Parvin B, Tlsty TD.  2014.  Stress signaling from human mammary epithelial cells contributes to phenotypes of mammographic density. Cancer Res. 74:5032-44.
DeFilippis RAnna, Fordyce C, Patten K, Chang H, Zhao J, Fontenay GV, Kerlikowske K, Parvin B, Tlsty TD.  2014.  Stress signaling from human mammary epithelial cells contributes to phenotypes of mammographic density. Cancer Res. 74:5032-44.
2013
Dumont N, Liu B, DeFilippis RAnna, Chang H, Rabban JT, Karnezis AN, Tjoe JA, Marx J, Parvin B, Tlsty TD.  2013.  Breast fibroblasts modulate early dissemination, tumorigenesis, and metastasis through alteration of extracellular matrix characteristics. Neoplasia. 15:249-62.
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, 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}.

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