Basavanhally A - Search Results

1

Stain Normalization using Sparse AutoEncoders (StaNoSA): Application to digital pathology.

Janowczyk A, Basavanhally A, Madabhushi A. Janowczyk A, et al. Among authors: basavanhally a. Comput Med Imaging Graph. 2017 Apr;57:50-61. doi: 10.1016/j.compmedimag.2016.05.003. Epub 2016 May 16. Comput Med Imaging Graph. 2017. PMID: 27373749 Free PMC article.

2

Computer-aided prognosis: predicting patient and disease outcome via quantitative fusion of multi-scale, multi-modal data.

Madabhushi A, Agner S, Basavanhally A, Doyle S, Lee G. Madabhushi A, et al. Among authors: basavanhally a. Comput Med Imaging Graph. 2011 Oct-Dec;35(7-8):506-14. doi: 10.1016/j.compmedimag.2011.01.008. Epub 2011 Feb 17. Comput Med Imaging Graph. 2011. PMID: 21333490

3

Variable importance in nonlinear kernels (VINK): classification of digitized histopathology.

Ginsburg S, Ali S, Lee G, Basavanhally A, Madabhushi A. Ginsburg S, et al. Among authors: basavanhally a. Med Image Comput Comput Assist Interv. 2013;16(Pt 2):238-45. doi: 10.1007/978-3-642-40763-5_30. Med Image Comput Comput Assist Interv. 2013. PMID: 24579146

4

Predicting classifier performance with limited training data: applications to computer-aided diagnosis in breast and prostate cancer.

Basavanhally A, Viswanath S, Madabhushi A. Basavanhally A, et al. PLoS One. 2015 May 18;10(5):e0117900. doi: 10.1371/journal.pone.0117900. eCollection 2015. PLoS One. 2015. PMID: 25993029 Free PMC article.

5

Accurate and reproducible invasive breast cancer detection in whole-slide images: A Deep Learning approach for quantifying tumor extent.

Cruz-Roa A, Gilmore H, Basavanhally A, Feldman M, Ganesan S, Shih NNC, Tomaszewski J, González FA, Madabhushi A. Cruz-Roa A, et al. Among authors: basavanhally a. Sci Rep. 2017 Apr 18;7:46450. doi: 10.1038/srep46450. Sci Rep. 2017. PMID: 28418027 Free PMC article.

6

High-throughput adaptive sampling for whole-slide histopathology image analysis (HASHI) via convolutional neural networks: Application to invasive breast cancer detection.

Cruz-Roa A, Gilmore H, Basavanhally A, Feldman M, Ganesan S, Shih N, Tomaszewski J, Madabhushi A, González F. Cruz-Roa A, et al. Among authors: basavanhally a. PLoS One. 2018 May 24;13(5):e0196828. doi: 10.1371/journal.pone.0196828. eCollection 2018. PLoS One. 2018. PMID: 29795581 Free PMC article.

7

Mitosis detection in breast cancer pathology images by combining handcrafted and convolutional neural network features.

Wang H, Cruz-Roa A, Basavanhally A, Gilmore H, Shih N, Feldman M, Tomaszewski J, Gonzalez F, Madabhushi A. Wang H, et al. Among authors: basavanhally a. J Med Imaging (Bellingham). 2014 Oct;1(3):034003. doi: 10.1117/1.JMI.1.3.034003. Epub 2014 Oct 10. J Med Imaging (Bellingham). 2014. PMID: 26158062 Free PMC article.

8

Computerized image-based detection and grading of lymphocytic infiltration in HER2+ breast cancer histopathology.

Basavanhally AN, Ganesan S, Agner S, Monaco JP, Feldman MD, Tomaszewski JE, Bhanot G, Madabhushi A. Basavanhally AN, et al. IEEE Trans Biomed Eng. 2010 Mar;57(3):642-53. doi: 10.1109/TBME.2009.2035305. Epub 2009 Oct 30. IEEE Trans Biomed Eng. 2010. PMID: 19884074

9

Integrated diagnostics: a conceptual framework with examples.

Madabhushi A, Doyle S, Lee G, Basavanhally A, Monaco J, Masters S, Tomaszewski J, Feldman M. Madabhushi A, et al. Among authors: basavanhally a. Clin Chem Lab Med. 2010 Jul;48(7):989-98. doi: 10.1515/CCLM.2010.193. Clin Chem Lab Med. 2010. PMID: 20491597 Review.

10

Multi-field-of-view framework for distinguishing tumor grade in ER+ breast cancer from entire histopathology slides.

Basavanhally A, Ganesan S, Feldman M, Shih N, Mies C, Tomaszewski J, Madabhushi A. Basavanhally A, et al. IEEE Trans Biomed Eng. 2013 Aug;60(8):2089-99. doi: 10.1109/TBME.2013.2245129. Epub 2013 Feb 5. IEEE Trans Biomed Eng. 2013. PMID: 23392336 Free PMC article.

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