Basavanhally A - Search Results

1

Towards improved cancer diagnosis and prognosis using analysis of gene expression data and computer aided imaging.

Lexe G, Monaco J, Doyle S, Basavanhally A, Reddy A, Seiler M, Ganesan S, Bhanot G, Madabhushi A. Lexe G, et al. Among authors: basavanhally a. Exp Biol Med (Maywood). 2009 Aug;234(8):860-79. doi: 10.3181/0902-MR-89. Epub 2009 Jun 2. Exp Biol Med (Maywood). 2009. PMID: 19491367 Review.

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

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

4

Expectation-maximization-driven geodesic active contour with overlap resolution (EMaGACOR): application to lymphocyte segmentation on breast cancer histopathology.

Fatakdawala H, Xu J, Basavanhally A, Bhanot G, Ganesan S, Feldman M, Tomaszewski JE, Madabhushi A. Fatakdawala H, et al. Among authors: basavanhally a. IEEE Trans Biomed Eng. 2010 Jul;57(7):1676-89. doi: 10.1109/TBME.2010.2041232. Epub 2010 Feb 17. IEEE Trans Biomed Eng. 2010. PMID: 20172780

5

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.

6

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.

7

Multi-field-of-view strategy for image-based outcome prediction of multi-parametric estrogen receptor-positive breast cancer histopathology: Comparison to Oncotype DX.

Basavanhally A, Feldman M, Shih N, Mies C, Tomaszewski J, Ganesan S, Madabhushi A. Basavanhally A, et al. J Pathol Inform. 2011;2:S1. doi: 10.4103/2153-3539.92027. Epub 2012 Jan 19. J Pathol Inform. 2011. PMID: 22811953 Free PMC article.

8

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.

9

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.

10

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.

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