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Items: 5

1.

Interactive phenotyping of large-scale histology imaging data with HistomicsML.

Nalisnik M, Amgad M, Lee S, Halani SH, Velazquez Vega JE, Brat DJ, Gutman DA, Cooper LAD.

Sci Rep. 2017 Nov 6;7(1):14588. doi: 10.1038/s41598-017-15092-3.

2.

The Digital Slide Archive: A Software Platform for Management, Integration, and Analysis of Histology for Cancer Research.

Gutman DA, Khalilia M, Lee S, Nalisnik M, Mullen Z, Beezley J, Chittajallu DR, Manthey D, Cooper LAD.

Cancer Res. 2017 Nov 1;77(21):e75-e78. doi: 10.1158/0008-5472.CAN-17-0629.

3.

Scalable analysis of Big pathology image data cohorts using efficient methods and high-performance computing strategies.

Kurc T, Qi X, Wang D, Wang F, Teodoro G, Cooper L, Nalisnik M, Yang L, Saltz J, Foran DJ.

BMC Bioinformatics. 2015 Dec 1;16:399. doi: 10.1186/s12859-015-0831-6.

4.

Novel genotype-phenotype associations in human cancers enabled by advanced molecular platforms and computational analysis of whole slide images.

Cooper LA, Kong J, Gutman DA, Dunn WD, Nalisnik M, Brat DJ.

Lab Invest. 2015 Apr;95(4):366-76. doi: 10.1038/labinvest.2014.153. Epub 2015 Jan 19. Review.

5.

An Interactive Learning Framework for Scalable Classification of Pathology Images.

Nalisnik M, Gutman DA, Kong J, Cooper LA.

Proc IEEE Int Conf Big Data. 2015 Oct-Nov;2015:928-935. Epub 2015 Dec 28.

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