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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)

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Alexander Verl

On the Dynamics and Emergency Stop Behavior of Cable-Driven Parallel Robots, , and . ROMANSY 21 - Robot Design, Dynamics and Control, volume 569 of CISM International Centre for Mechanical Sciences, page 431--438. Switzerland, Springer Verlag and Springer International Publishing, (2016)
 

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Deep Learning Models Differentiate Tumor Grades from H&E Stained Histology Sections., , and . EMBC, page 620-623. IEEE, (2018)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 . International Journal of Computer Vision, 113 (1): 3-18 (2015)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 Analysis, (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 histopathology via sparse feature learning., , , , and . ISBI, page 410-413. IEEE, (2013)Classification of Tumor Histology via Morphometric Context., , , and . CVPR, page 2203-2210. IEEE Computer Society, (2013)