Publication

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Author Title [ Type(Desc)] Year
Filters: Author is Paul T. Spellman  [Clear All Filters]
Conference Paper
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}.
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
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, 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, 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, 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.