暢航：男，電子科技大學教授。2012.08-至今研究科學家（Career Research Scientist） 美國勞倫斯伯克利國家實驗室;科研方向 計算機視覺，機器學習，及其在生物醫學領域的套用 研究項目 Molecular and Therapeutic Basis of Morphometric Aberrations in Brain Tumors 2015.05-2020.04 國家級 （美國）
- 學習經歷：
1999.09 -2003.07 學士 華中科技大學 控制科學與工程系（自動化）
2003.09- 2008.07 博士 中國科學院自動化研究所（模式識別與智慧型系統）
工作經歷：
2008.01 -2012.07 項目科學家（Project Scientist） 美國勞倫斯伯克利國家實驗室
2012.08-至今 研究科學家（Career Research Scientist） 美國勞倫斯伯克利國家實驗室 - 論文列表
1.C. Zhong, J. Han, A. Borowsky, B. Parvin, Y. Wang† and Hang Chang†, “When machine vision meets histology: A comparative evaluation of model architecture for classification of histology sections”, Medical Image Analysis, vol. 35, pp. 535-543, 2016.
2.J. Han, Y. Wang, W. Cai, A. Borowsky, B. Parvin and H. Chang†, “Integrative Analysis of Cellular Morphometric Context Reveals Clinically Relevant Signatures in Lower Grade Glioma”, Medical Image Computing and Computer-Assisted Intervention (MICCAI 2016), pp. 72-80, 2016.
3.J. Han, G. V. Fontenay, Y. Wang, J-H. Mao and H. Chang†, “Phenotypic Characterization of Breast Invasive Carcinoma via Transferable Tissue Morphometric Patterns Learned from Glioblastoma Multiforme”, IEEE International Symposium on Biomedical Imaging (ISBI 2016), pp. 1025-1028, 2016.
4.H. Chang†, Q. Wen, and B. Parvin†. “Coupled Segmentation of Nuclear and Membrane-bound Macromolecules through Voting and Multiphase Level Set”, Pattern Recognition, vol. 1, no. 48, pp. 882-893, 2015. († Co-Corresponding Author)
5.H. Chang† and B. Parvin†, "Classification of 3D Multicellular Organization in Phase Microscopy for High Throughput Screening of Therapeutic Targets." IEEE Winter Conference on Applications of Computer Vision (WACV 2015), pp. 436-441, Waikoloa Beach, HI, U.S., January 2015.
6.Y. Zhou, H. Chang†, K. E. Barner and B. Parvin†. "Nuclei Segmentation via Sparsity Constrained Convoluational Regression." IEEE International Symposium on Biomedical Imaging (ISBI 2015), pp. 1284-1287, Brooklyn, NY, U.S., April 2015.
7.H. Chang† and B. Parvin†. "Predictive Sparse Morphometric Context for Classification of Histology Sections." IEEE International Symposium on Biomedical Imaging (ISBI 2015), pp. 1004-1007, Brooklyn, NY, U.S., April 2015.
8.H. Chang*†, Y. Zhou*, A. Borowsky, K. E. Barner, P. T. Spellman and B. Parvin†, “Stacked Predictive Sparse Decomposition for Classification of Histology Sections”, International Journal of Computer Vision (IJCV), Special Issue on Deep Learning, pp. 1-16, 2014. (* Co-First Author, †Co-Corresponding Author).
9.Y. Zhou*, H. Chang*†, K. E. Barner, P. T. Spellman and B. Parvin†, “Classification of Histology Sections via Multispectral Convolutional Sparse Coding”, IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2014), pp. 3081-3088, 2014.
10.H. Chang, J. Han, A. Borowsky, L. A. Loss, J. W. Gray, P. T. Spellman and B. Parvin. "Invariant Delineation of Nuclear Architecture in Glioblastoma Multiforme for Clinical and Molecular Association", IEEE Transactions on Medical Imaging, vol. 32, no. 4, pp. 670-682, 2013.
11.C. C. Bilgin, S. Kim, E. Leung, H. Chang†, and B. Parvin†. "Integrated profiling of three dimensional cell culture models and 3D microscopy", Bioinformatics, vol. 29, no. 23, pp. 3087-3093, 2013. († Co-Corresponding Author)
12.H. Chang†, A. Borowsky, P. T. Spellman and B. Parvin† “Classification of Tumor Histology via Morphometric Context”, IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2013), pp. 2203-2210, 2013.
13.H. Chang†, N. Nayak, P. T. Spellman and B. Parvin†, “Characterization of Tissue histopathology via Predictive Sparse Decomposition and Spatial Pyramid Matching”, Medical Image Computing and Computer-Assisted Intervention (MICCAI 2013), pp. 91-98, 2013.
14.H. Chang*†, Y. Zhou*, P. T. Spellman and B. Parvin†, “Stacked Predictive Sparse Coding for Classification of Distinct Regions in Tumor Histopathology”, International Conference on Computer Vision (ICCV 2013), pp. 169-176, 2013.
15.H. Chang, J. Han, P. T. Spellman and B. Parvin. "Multi-Reference Level Set for Characterization of Nuclear Morphology in Glioblastoma Multiforme." IEEE Trans. on Biomedical Engineering, vol. 59, no. 12, pp. 3460-3467, 2012.
16.H. Chang, L. A. Loss, P. T. Spellman, A. Borowsky and B. Parvin, “Batch-Invariant Nuclear Segmentation in Whole Mount Histology Sections”, IEEE International Symposium on Biomedical Imaging (ISBI 2012), pp. 856-859, 2012.
17.H. Chang, G. V. Fontenay, J. Han, G. Cong, F. L. Baehner, J. W. Gray, P. T. Spellman and B. Parvin, “Morphometic Analysis of TCGA Glioblastoma Multiforme”, BMC Bioinformatics, vol. 12, no. 484, 2011.
18.H. Chang and B. Parvin, “Multiphase Level Set for Automated Delineation of Membrane-bound Proteins”, IEEE International Symposium on Biomedical Imaging (ISBI 2010), pp. 165-168, 2010.
19.H. Chang, R. A. DeFilippis, T. D. Tlsty and B. Parvin, “Graphical methods for quantifying macromolecules through bright field imaging”, Bioinformatics, vol. 25, no. 8, pp. 1070-1075, 2009.
20.H. Chang, M. Auer and B. Parvin, “Structural Annotation of EM Images by Graph Cut”, IEEE International Symposium on Biomedical Imaging (ISBI 2009), pp. 1103-1106, 2009.
21.H. Chang, R. A. DeFilippis, T. D. Tlsty and B. Parvin, “Scoring Histological Sections through Immunohistochemistry”, IEEE International Symposium on Biomedical Imaging (ISBI 2008), pp. 344-347, 2008.
22.H. Chang, Q. Yang and B. Parvin, “A Bayesian Approach for Image Segmentation with Shape Priors”, IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2008), pp. 1-8, 2008.
23.H. Chang, Q. Yang, M. Auer and B. Parvin, “Modeling of Front Evolution with Graph Cut Optimization”, International Conference on Image Processing (ICIP 2007), vol. 1, pp. 241-244, 2007.
24.H. Chang, K. L. Andarawewa, J. Han, M. H. Barcellos-Hoff and B. Parvin, “Perceptual Grouping of Membrane Signals in Cell-based Assays”, Proc. IEEE International Symposium on Biomedical Imaging (ISBI 2007), pp. 532-535, April 2007.
25.H. Chang, C. Park and B. Parvin, “Quantitative Representation of Three-dimensional Cell Culture Models”, IEEE International Symposium on Biomedical Imaging (ISBI 2007), pp. 89-92, April 2007.
26.H. Chang, Q. Yang and B. Parvin, “Segmentation of heterogeneous blob objects through voting and level set formulation”, Pattern Recognition Letters, vol. 28, no. 13, pp. 1781-1787, October 2007.
27.H. Chang, Q. Yang, C. Pan, “An Iterative Bayesian Approach for Digital Matting”, International Conference on Pattern Recognition (ICPR 2006), vol. 2, pp.122-125, 2006.
