Stacked Predictive Sparse Decomposition for Classification of Histology Sections
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Bahram Parvin | Kenneth E. Barner | Hang Chang | Alexander Borowsky | Paul T. Spellman | Yin Zhou | B. Parvin | Hang Chang | Paul R. Spellman | Yin Zhou | Alex G. Borowsky | Kenneth Barner
[1] Eli Shechtman,et al. In defense of Nearest-Neighbor based image classification , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[2] Andrew Zisserman,et al. Scene Classification Using a Hybrid Generative/Discriminative Approach , 2008, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[3] Yihong Gong,et al. Nonlinear Learning using Local Coordinate Coding , 2009, NIPS.
[4] Dirk R. Padfield,et al. Color and texture based segmentation of molecular pathology images usING HSOMS , 2008, 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.
[5] May D. Wang,et al. Biological interpretation of morphological patterns in histopathological whole-slide images , 2012, BCB.
[6] Bahram Parvin,et al. Invariant Delineation of Nuclear Architecture in Glioblastoma Multiforme for Clinical and Molecular Association , 2013, IEEE Transactions on Medical Imaging.
[7] Bahram Parvin,et al. Classification of Histology Sections via Multispectral Convolutional Sparse Coding , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[8] Bahram Parvin,et al. Characterization of Tissue Histopathology via Predictive Sparse Decomposition and Spatial Pyramid Matching , 2013, MICCAI.
[9] Bahram Parvin,et al. Comparison of sparse coding and kernel methods for histopathological classification of gliobastoma multiforme , 2011, 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.
[10] Bülent Yener,et al. Coupled Analysis of In Vitro and Histology Tissue Samples to Quantify Structure-Function Relationship , 2012, PloS one.
[11] Jelena Kovacevic,et al. Automatic identification and delineation of germ layer components in H&E stained images of teratomas derived from human and nonhuman primate embryonic stem cells , 2010, 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.
[12] Frédéric Jurie,et al. Randomized Clustering Forests for Image Classification , 2008, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[13] Andrew Zisserman,et al. Efficient Additive Kernels via Explicit Feature Maps , 2012, IEEE Trans. Pattern Anal. Mach. Intell..
[14] Nicolas Loménie,et al. Time-efficient sparse analysis of histopathological whole slide images , 2011, Comput. Medical Imaging Graph..
[15] Marc'Aurelio Ranzato,et al. Efficient Learning of Sparse Representations with an Energy-Based Model , 2006, NIPS.
[16] Anant Madabhushi,et al. Computer-aided prognosis of ER+ breast cancer histopathology and correlating survival outcome with Oncotype DX assay , 2009, 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.
[17] Yoshua Bengio,et al. Gradient-based learning applied to document recognition , 1998, Proc. IEEE.
[18] Honglak Lee,et al. Sparse deep belief net model for visual area V2 , 2007, NIPS.
[19] Michael Elad,et al. Image Denoising Via Sparse and Redundant Representations Over Learned Dictionaries , 2006, IEEE Transactions on Image Processing.
[20] B. Yener,et al. Automated cancer diagnosis based on histopathological images : a systematic survey , 2005 .
[21] Fabio A. González,et al. A Deep Learning Architecture for Image Representation, Visual Interpretability and Automated Basal-Cell Carcinoma Cancer Detection , 2013, MICCAI.
[22] Jun Kong,et al. Texture based image recognition in microscopy images of diffuse gliomas with multi-class gentle boosting mechanism , 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.
[23] Yann LeCun,et al. Large-scale Learning with SVM and Convolutional for Generic Object Categorization , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).
[24] Bahram Parvin,et al. Classification of tumor histopathology via sparse feature learning , 2013, 2013 IEEE 10th International Symposium on Biomedical Imaging.
[25] Luc Van Gool,et al. The 2005 PASCAL Visual Object Classes Challenge , 2005, MLCW.
[26] Marc'Aurelio Ranzato,et al. Fast Inference in Sparse Coding Algorithms with Applications to Object Recognition , 2010, ArXiv.
[27] Cordelia Schmid,et al. Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).
[28] Yizhou Yu,et al. SCaLE: Supervised and Cascaded Laplacian Eigenmaps for Visual Object Recognition Based on Nearest Neighbors , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[29] Ronald M. Lesperance,et al. The Gaussian derivative model for spatial-temporal vision: I. Cortical model. , 2001, Spatial vision.
[30] Yann LeCun,et al. What is the best multi-stage architecture for object recognition? , 2009, 2009 IEEE 12th International Conference on Computer Vision.
[31] Luca Maria Gambardella,et al. Mitosis Detection in Breast Cancer Histology Images with Deep Neural Networks , 2013, MICCAI.
[32] Jianguo Zhang,et al. The PASCAL Visual Object Classes Challenge , 2006 .
[33] Guillermo Sapiro,et al. Online Learning for Matrix Factorization and Sparse Coding , 2009, J. Mach. Learn. Res..
[34] Anant Madabhushi,et al. Cascaded multi-class pairwise classifier (CascaMPa) for normal, cancerous, and cancer confounder classes in prostate histology , 2011, 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.
[35] Ronald M. Lesperance,et al. The Gaussian derivative model for spatial-temporal vision: II. Cortical data. , 2001, Spatial vision.
[36] Rajat Raina,et al. Efficient sparse coding algorithms , 2006, NIPS.
[37] Gyan Bhanot,et al. Expectation Maximization driven Geodesic Active Contour with Overlap Resolution (EMaGACOR): Application to Lymphocyte Segmentation on Breast Cancer Histopathology , 2009, BIBE.
[38] B. Yener,et al. Multiscale Feature Analysis of Salivary Gland Branching Morphogenesis , 2012, PLoS ONE.
[39] Yuejiao Fu,et al. Effect of Quantitative Nuclear Image Features on Recurrence of Ductal Carcinoma In Situ (DCIS) of the Breast , 2008, Cancer informatics.
[40] Marc'Aurelio Ranzato,et al. Sparse Feature Learning for Deep Belief Networks , 2007, NIPS.
[41] A. Madabhushi,et al. Histopathological Image Analysis: A Review , 2009, IEEE Reviews in Biomedical Engineering.
[42] Quoc V. Le,et al. Learning invariant features of tumor signatures , 2012, 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI).
[43] Yihong Gong,et al. Linear spatial pyramid matching using sparse coding for image classification , 2009, CVPR.
[44] Bahram Parvin,et al. Classification of Tumor Histology via Morphometric Context , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[45] Joel A. Tropp,et al. Signal Recovery From Random Measurements Via Orthogonal Matching Pursuit , 2007, IEEE Transactions on Information Theory.