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Conference Paper
Han J, Chang H, Yang Q, Barcellos-Hoff MHelen, Parvin B.  2006.  3D Segmentation of Mammospheres for Localization Studies. Advances in Visual Computing, Second International Symposium, {ISVC} 2006, Lake Tahoe, NV, USA, November 6-8, 2006 Proceedings, Part {I}.
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, 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, 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}.
Wen Q, Chang H, Parvin B.  2009.  A Delaunay Triangulation Approach for Segmenting Clumps of Nuclei. Proceedings of the 2009 {IEEE} International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28 - July 1, 2009.
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.
Han J, Chang H, Andarawewa KL, Yaswen P, Barcellos-Hoff MHelen, Parvin B.  2008.  Integrated profiling of cell surface protein and nuclear marker for discriminant analysis. Proceedings of the 2008 {IEEE} International Symposium on Biomedical Imaging: From Nano to Macro, Paris, France, May 14-17, 2008.
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}.
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.
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.
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}.
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.
Han J, Chang H, Fontenay G, Wang NJ, Gray JW, Parvin B.  2009.  Morphometric Subtyping for a Panel of Breast Cancer Cell Lines. Proceedings of the 2009 {IEEE} International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28 - July 1, 2009.
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.
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, 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, 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, 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.

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