Tomaszewski J - Search Results

1

Quantitative nuclear histomorphometry predicts oncotype DX risk categories for early stage ER+ breast cancer.

Whitney J, Corredor G, Janowczyk A, Ganesan S, Doyle S, Tomaszewski J, Feldman M, Gilmore H, Madabhushi A. Whitney J, et al. Among authors: tomaszewski j. BMC Cancer. 2018 May 30;18(1):610. doi: 10.1186/s12885-018-4448-9. BMC Cancer. 2018. PMID: 29848291 Free PMC article.

2

An active learning based classification strategy for the minority class problem: application to histopathology annotation.

Doyle S, Monaco J, Feldman M, Tomaszewski J, Madabhushi A. Doyle S, et al. Among authors: tomaszewski j. BMC Bioinformatics. 2011 Oct 28;12:424. doi: 10.1186/1471-2105-12-424. BMC Bioinformatics. 2011. PMID: 22034914 Free PMC article.

3

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. Among authors: tomaszewski j. 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.

4

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: tomaszewski j. Sci Rep. 2017 Apr 18;7:46450. doi: 10.1038/srep46450. Sci Rep. 2017. PMID: 28418027 Free PMC article.

5

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: tomaszewski j. PLoS One. 2018 May 24;13(5):e0196828. doi: 10.1371/journal.pone.0196828. eCollection 2018. PLoS One. 2018. PMID: 29795581 Free PMC article.

6

Computerized image analysis for identifying triple-negative breast cancers and differentiating them from other molecular subtypes of breast cancer on dynamic contrast-enhanced MR images: a feasibility study.

Agner SC, Rosen MA, Englander S, Tomaszewski JE, Feldman MD, Zhang P, Mies C, Schnall MD, Madabhushi A. Agner SC, et al. Radiology. 2014 Jul;272(1):91-9. doi: 10.1148/radiol.14121031. Epub 2014 Mar 10. Radiology. 2014. PMID: 24620909 Free PMC article.

7

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

8

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: tomaszewski je. 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

9

Supervised regularized canonical correlation analysis: integrating histologic and proteomic measurements for predicting biochemical recurrence following prostate surgery.

Golugula A, Lee G, Master SR, Feldman MD, Tomaszewski JE, Speicher DW, Madabhushi A. Golugula A, et al. BMC Bioinformatics. 2011 Dec 19;12:483. doi: 10.1186/1471-2105-12-483. BMC Bioinformatics. 2011. PMID: 22182303 Free PMC article.

10

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: tomaszewski j. Clin Chem Lab Med. 2010 Jul;48(7):989-98. doi: 10.1515/CCLM.2010.193. Clin Chem Lab Med. 2010. PMID: 20491597 Review.

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