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Stacked Predictive Sparse Decomposition for Classification of Histology Sections.

, , , , , and . Int. J. Comput. Vis., 113 (1): 3-18 (2015)

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Invariant Delineation of Nuclear Architecture in Glioblastoma Multiforme for Clinical and Molecular Association., , , , , , and . IEEE Trans. Med. Imaging, 32 (4): 670-682 (2013)Stacked Predictive Sparse Decomposition for Classification of Histology Sections., , , , , and . Int. J. Comput. Vis., 113 (1): 3-18 (2015)Deep Learning Models Differentiate Tumor Grades from H&E Stained Histology Sections., , and . EMBC, page 620-623. IEEE, (2018)Quantum cascade laser infrared microscopy differentiates malignant phenotypes in breast histology sections., , , , and . ISBI, page 831-834. IEEE, (2018)Learning invariant features of tumor signatures., , , , , and . ISBI, page 302-305. IEEE, (2012)When machine vision meets histology: A comparative evaluation of model architecture for classification of histology sections., , , , , and . Medical Image Anal., (2017)Integrative Analysis of Cellular Morphometric Context Reveals Clinically Relevant Signatures in Lower Grade Glioma., , , , , and . MICCAI (1), volume 9900 of Lecture Notes in Computer Science, page 72-80. (2016)Batch-invariant nuclear segmentation in whole mount histology sections., , , , and . ISBI, page 856-859. IEEE, (2012)Molecular bases of morphometric composition in Glioblastoma multiforme., , , , , and . ISBI, page 1631-1634. IEEE, (2012)Classification of Tumor Histology via Morphometric Context., , , and . CVPR, page 2203-2210. IEEE Computer Society, (2013)