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Items: 1 to 20 of 113

1.

Image microarrays derived from tissue microarrays (IMA-TMA): New resource for computer-aided diagnostic algorithm development.

Hipp JA, Hipp JD, Lim M, Sharma G, Smith LB, Hewitt SM, Balis UG.

J Pathol Inform. 2012;3:24. doi: 10.4103/2153-3539.98168. Epub 2012 Jul 12.

2.

Image microarrays (IMA): Digital pathology's missing tool.

Hipp J, Cheng J, Pantanowitz L, Hewitt S, Yagi Y, Monaco J, Madabhushi A, Rodriguez-Canales J, Hanson J, Roy-Chowdhuri S, Filie AC, Feldman MD, Tomaszewski JE, Shih NN, Brodsky V, Giaccone G, Emmert-Buck MR, Balis UJ.

J Pathol Inform. 2011;2:47. doi: 10.4103/2153-3539.86829. Epub 2011 Oct 29.

3.

Robust gridding of TMAs after whole-slide imaging using template matching.

Lahrmann B, Halama N, Westphal K, Ernst C, Elsawaf Z, Sinn P, Bosch FX, Dickhaus H, Jäger D, Schirmacher P, Grabe N.

Cytometry A. 2010 Dec;77(12):1169-76. doi: 10.1002/cyto.a.20949.

4.

Spatially Invariant Vector Quantization: A pattern matching algorithm for multiple classes of image subject matter including pathology.

Hipp JD, Cheng JY, Toner M, Tompkins RG, Balis UJ.

J Pathol Inform. 2011 Feb 26;2:13. doi: 10.4103/2153-3539.77175.

5.

A TMA de-arraying method for high throughput biomarker discovery in tissue research.

Wang Y, Savage K, Grills C, McCavigan A, James JA, Fennell DA, Hamilton PW.

PLoS One. 2011;6(10):e26007. doi: 10.1371/journal.pone.0026007. Epub 2011 Oct 7.

6.

The development and validation of the Virtual Tissue Matrix, a software application that facilitates the review of tissue microarrays on line.

Conway CM, O'Shea D, O'Brien S, Lawler DK, Dodrill GD, O'Grady A, Barrett H, Gulmann C, O'Driscoll L, Gallagher WM, Kay EW, O'Shea DG.

BMC Bioinformatics. 2006 May 17;7:256.

7.

A data model and database for high-resolution pathology analytical image informatics.

Wang F, Kong J, Cooper L, Pan T, Kurc T, Chen W, Sharma A, Niedermayr C, Oh TW, Brat D, Farris AB, Foran DJ, Saltz J.

J Pathol Inform. 2011;2:32. doi: 10.4103/2153-3539.83192. Epub 2011 Jul 26.

8.

Use and validation of epithelial recognition and fields of view algorithms on virtual slides to guide TMA construction.

Barsky S, Gentchev L, Basu A, Jimenez R, Boussaid K, Gholap A.

Biotechniques. 2009 Nov;47(5):927-38. doi: 10.2144/000113207.

9.

The tissue micro-array data exchange specification: a web based experience browsing imported data.

Nohle DG, Hackman BA, Ayers LW.

BMC Med Inform Decis Mak. 2005 Aug 8;5:25.

10.

Creation of a digital slide and tissue microarray resource from a multi-institutional predictive toxicology study in the rat: an initial report from the PredTox group.

Mulrane L, Rexhepaj E, Smart V, Callanan JJ, Orhan D, Eldem T, Mally A, Schroeder S, Meyer K, Wendt M, O'Shea D, Gallagher WM.

Exp Toxicol Pathol. 2008 Aug;60(4-5):235-45. doi: 10.1016/j.etp.2007.12.004. Epub 2008 May 13.

PMID:
18479893
11.

The tissue microarray data exchange specification: Extending TMA DES to provide flexible scoring and incorporate virtual slides.

Wright A, Lyttleton O, Lewis P, Quirke P, Treanor D.

J Pathol Inform. 2011 Mar 15;2:15. doi: 10.4103/2153-3539.78038.

12.

Digital pathology for the validation of tissue microarrays in peripheral T-cell lymphomas.

Pedersen MB, Riber-Hansen R, Nielsen PS, Bendix K, Hamilton-Dutoit SJ, D'Amore F, Steiniche T.

Appl Immunohistochem Mol Morphol. 2014 Sep;22(8):577-84. doi: 10.1097/PAI.0b013e3182a7d16d.

PMID:
24897068
13.

Automated vector selection of SIVQ and parallel computing integration MATLAB™: Innovations supporting large-scale and high-throughput image analysis studies.

Cheng J, Hipp J, Monaco J, Lucas DR, Madabhushi A, Balis UJ.

J Pathol Inform. 2011;2:37. doi: 10.4103/2153-3539.83752. Epub 2011 Aug 13.

14.

Frequential versus spatial colour textons for breast TMA classification.

Fernández-Carrobles MM, Bueno G, Déniz O, Salido J, García-Rojo M, Gonzández-López L.

Comput Med Imaging Graph. 2015 Jun;42:25-37. doi: 10.1016/j.compmedimag.2014.11.009. Epub 2014 Nov 18.

PMID:
25499960
15.

New tissue microarray technology for analyses of gene expression in frozen pathological samples.

Zhou L, Hodeib M, Abad JD, Mendoza L, Kore AR, Hu Z.

Biotechniques. 2007 Jul;43(1):101-5.

PMID:
17695259
16.

Optimization of complex cancer morphology detection using the SIVQ pattern recognition algorithm.

Hipp J, Smith SC, Cheng J, Tomlins SA, Monaco J, Madabhushi A, Kunju LP, Balis UJ.

Anal Cell Pathol (Amst). 2012;35(1):41-50. doi: 10.3233/ACP-2011-0040.

17.

The tissue microarray data exchange specification: a community-based, open source tool for sharing tissue microarray data.

Berman JJ, Edgerton ME, Friedman BA.

BMC Med Inform Decis Mak. 2003 May 23;3:5. Epub 2003 May 23.

18.

Integration of architectural and cytologic driven image algorithms for prostate adenocarcinoma identification.

Hipp J, Monaco J, Kunju LP, Cheng J, Yagi Y, Rodriguez-Canales J, Emmert-Buck MR, Hewitt S, Feldman MD, Tomaszewski JE, Toner M, Tompkins RG, Flotte T, Lucas D, Gilbertson JR, Madabhushi A, Balis U.

Anal Cell Pathol (Amst). 2012;35(4):251-65. doi: 10.3233/ACP-2012-0054.

19.
20.

Ultra-fast processing of gigapixel Tissue MicroArray images using high performance computing.

Wang Y, McCleary D, Wang CW, Kelly P, James J, Fennell DA, Hamilton PW.

Cell Oncol (Dordr). 2011 Oct;34(5):495-507. doi: 10.1007/s13402-011-0046-4. Epub 2011 May 11. Erratum in: Cell Oncol (Dordr). 2011 Oct;34(5):509-10.

PMID:
21559926

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