Janowczyk A - Search Results

1

High-throughput biomarker segmentation on ovarian cancer tissue microarrays via hierarchical normalized cuts.

Janowczyk A, Chandran S, Singh R, Sasaroli D, Coukos G, Feldman MD, Madabhushi A. Janowczyk A, et al. IEEE Trans Biomed Eng. 2012 May;59(5):1240-52. doi: 10.1109/TBME.2011.2179546. Epub 2011 Dec 13. IEEE Trans Biomed Eng. 2012. PMID: 22180503

2

Hierarchical normalized cuts: unsupervised segmentation of vascular biomarkers from ovarian cancer tissue microarrays.

Janowczyk A, Chandran S, Singh R, Sasaroli D, Coukos G, Feldman MD, Madabhushi A. Janowczyk A, et al. Med Image Comput Comput Assist Interv. 2009;12(Pt 1):230-8. doi: 10.1007/978-3-642-04268-3_29. Med Image Comput Comput Assist Interv. 2009. PMID: 20425992

3

A high-throughput active contour scheme for segmentation of histopathological imagery.

Xu J, Janowczyk A, Chandran S, Madabhushi A. Xu J, et al. Among authors: janowczyk a. Med Image Anal. 2011 Dec;15(6):851-62. doi: 10.1016/j.media.2011.04.002. Epub 2011 Apr 28. Med Image Anal. 2011. PMID: 21570336 Free PMC article.

4

Quantifying local heterogeneity via morphologic scale: Distinguishing tumoral from stromal regions.

Janowczyk A, Chandran S, Madabhushi A. Janowczyk A, et al. J Pathol Inform. 2013 Mar 30;4(Suppl):S8. doi: 10.4103/2153-3539.109865. Print 2013. J Pathol Inform. 2013. PMID: 23766944 Free PMC article.

5

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

Janowczyk A, Basavanhally A, Madabhushi A. Janowczyk A, et al. 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.

6

AutoStitcher: An Automated Program for Efficient and Robust Reconstruction of Digitized Whole Histological Sections from Tissue Fragments.

Penzias G, Janowczyk A, Singanamalli A, Rusu M, Shih N, Feldman M, Stricker PD, Delprado W, Tiwari S, Böhm M, Haynes AM, Ponsky L, Viswanath S, Madabhushi A. Penzias G, et al. Among authors: janowczyk a. Sci Rep. 2016 Jul 26;6:29906. doi: 10.1038/srep29906. Sci Rep. 2016. PMID: 27457670 Free PMC article.

7

Deep learning for digital pathology image analysis: A comprehensive tutorial with selected use cases.

Janowczyk A, Madabhushi A. Janowczyk A, et al. J Pathol Inform. 2016 Jul 26;7:29. doi: 10.4103/2153-3539.186902. eCollection 2016. J Pathol Inform. 2016. PMID: 27563488 Free PMC article.

8

A deep learning based strategy for identifying and associating mitotic activity with gene expression derived risk categories in estrogen receptor positive breast cancers.

Romo-Bucheli D, Janowczyk A, Gilmore H, Romero E, Madabhushi A. Romo-Bucheli D, et al. Among authors: janowczyk a. Cytometry A. 2017 Jun;91(6):566-573. doi: 10.1002/cyto.a.23065. Epub 2017 Feb 13. Cytometry A. 2017. PMID: 28192639 Free PMC article.

9

An oral cavity squamous cell carcinoma quantitative histomorphometric-based image classifier of nuclear morphology can risk stratify patients for disease-specific survival.

Lu C, Lewis JS Jr, Dupont WD, Plummer WD Jr, Janowczyk A, Madabhushi A. Lu C, et al. Among authors: janowczyk a. Mod Pathol. 2017 Dec;30(12):1655-1665. doi: 10.1038/modpathol.2017.98. Epub 2017 Aug 4. Mod Pathol. 2017. PMID: 28776575 Free PMC article.

10

Prediction of recurrence in early stage non-small cell lung cancer using computer extracted nuclear features from digital H&E images.

Wang X, Janowczyk A, Zhou Y, Thawani R, Fu P, Schalper K, Velcheti V, Madabhushi A. Wang X, et al. Among authors: janowczyk a. Sci Rep. 2017 Oct 19;7(1):13543. doi: 10.1038/s41598-017-13773-7. Sci Rep. 2017. PMID: 29051570 Free PMC article.

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