John Tomaszewski
Overview
Explore the profile of John Tomaszewski including associated specialties, affiliations and a list of published articles.
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54
Citations
959
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Recent Articles
1.
Levites Strekalova Y, Liu-Galvin R, Border S, Midence S, Khan M, VanZanten M, et al.
JMIR Form Res
. 2025 Feb;
9:e54167.
PMID: 39899006
Background: Common barriers to students' persistence in research include experiencing feelings of exclusion and a lack of belonging, difficulties developing a robust researcher identity, perceptions of racial and social stigma...
2.
Lucarelli N, Yun D, Han D, Ginley B, Moon K, Rosenberg A, et al.
Proc SPIE Int Soc Opt Eng
. 2023 Oct;
12039.
PMID: 37817878
Histological image data and molecular profiles provide context into renal condition. Often, a biopsy is drawn to diagnose or monitor a suspected kidney problem. However, molecular profiles can go beyond...
3.
Border S, Jen K, Dos-Santos W, Tomaszewski J, Sarder P
Proc SPIE Int Soc Opt Eng
. 2020 May;
11320.
PMID: 32382209
Diabetic Nephropathy (DN) progression is stratified into several stages with different levels of proteinuria, albuminuria, and physical characteristics as observed by pathologists. These physical changes are primarily visible within a...
4.
Farris A, Moghe I, Wu S, Hogan J, Cornell L, Alexander M, et al.
Am J Transplant
. 2020 Mar;
20(9):2392-2399.
PMID: 32185875
The Banff Digital Pathology Working Group (DPWG) was formed in the time leading up to and during the joint American Society for Histocompatibility and Immunogenetics/Banff Meeting, September 23-27, 2019, held...
5.
Whitney J, Corredor G, Janowczyk A, Ganesan S, Doyle S, Tomaszewski J, et al.
BMC Cancer
. 2018 Jun;
18(1):610.
PMID: 29848291
Background: Gene-expression companion diagnostic tests, such as the Oncotype DX test, assess the risk of early stage Estrogen receptor (ER) positive (+) breast cancers, and guide clinicians in the decision...
6.
Cruz-Roa A, Gilmore H, Basavanhally A, Feldman M, Ganesan S, Shih N, et al.
PLoS One
. 2018 May;
13(5):e0196828.
PMID: 29795581
Precise detection of invasive cancer on whole-slide images (WSI) is a critical first step in digital pathology tasks of diagnosis and grading. Convolutional neural network (CNN) is the most popular...
7.
Zachariah M, Dwivedi A, Yip C, Chang S, Gundroo A, Venuto R, et al.
Exp Clin Transplant
. 2017 Dec;
16(4):391-400.
PMID: 29206090
Objectives: Prognostic implications of early protocol biopsies have been studied; however, the value of late protocol biopsy in predicting graft outcome has not been well defined. Here, we compared the...
8.
Cruz-Roa A, Gilmore H, Basavanhally A, Feldman M, Ganesan S, Shih N, et al.
Sci Rep
. 2017 Apr;
7:46450.
PMID: 28418027
With the increasing ability to routinely and rapidly digitize whole slide images with slide scanners, there has been interest in developing computerized image analysis algorithms for automated detection of disease...
9.
Gurcan M, Tomaszewski J, Overton J, Doyle S, Ruttenberg A, Smith B
J Biomed Inform
. 2016 Dec;
66:129-135.
PMID: 28003147
Interoperability across data sets is a key challenge for quantitative histopathological imaging. There is a need for an ontology that can support effective merging of pathological image data with associated...
10.
Smith B, Arabandi S, Brochhausen M, Calhoun M, Ciccarese P, Doyle S, et al.
J Pathol Inform
. 2015 Jul;
6:37.
PMID: 26167381
Background: Ontology is one strategy for promoting interoperability of heterogeneous data through consistent tagging. An ontology is a controlled structured vocabulary consisting of general terms (such as "cell" or "image"...