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Items: 14

1.

Deep learning enables automated scoring of liver fibrosis stages.

Yu Y, Wang J, Ng CW, Ma Y, Mo S, Fong ELS, Xing J, Song Z, Xie Y, Si K, Wee A, Welsch RE, So PTC, Yu H.

Sci Rep. 2018 Oct 30;8(1):16016. doi: 10.1038/s41598-018-34300-2.

2.

Heterogeneous characters modeling of instant message services users' online behavior.

Cui H, Li R, Fang Y, Horn B, Welsch RE.

PLoS One. 2018 May 7;13(5):e0195518. doi: 10.1371/journal.pone.0195518. eCollection 2018.

3.

A method to quantify co-localization in biological images.

Shiwen Zhu, Welsch RE, Matsudaira PT.

Conf Proc IEEE Eng Med Biol Soc. 2016 Aug;2016:3887-3890. doi: 10.1109/EMBC.2016.7591577.

PMID:
28269135
4.

Statistical Evaluation of Causal Factors Associated with Astronaut Shoulder Injury in Space Suits.

Anderson AP, Newman DJ, Welsch RE.

Aerosp Med Hum Perform. 2015 Jul;86(7):606-13. doi: 10.3357/AMHP.4220.2015.

PMID:
26102140
5.

Differential remodeling of extracellular matrices by breast cancer initiating cells.

Raja AM, Xu S, Zhuo S, Tai DC, Sun W, So PT, Welsch RE, Chen CS, Yu H.

J Biophotonics. 2015 Oct;8(10):804-15. doi: 10.1002/jbio.201400079. Epub 2015 Jan 19.

6.

Experimenting liver fibrosis diagnostic by two photon excitation microscopy and Bag-of-Features image classification.

Stanciu SG, Xu S, Peng Q, Yan J, Stanciu GA, Welsch RE, So PT, Csucs G, Yu H.

Sci Rep. 2014 Apr 10;4:4636. doi: 10.1038/srep04636.

7.

qFibrosis: a fully-quantitative innovative method incorporating histological features to facilitate accurate fibrosis scoring in animal model and chronic hepatitis B patients.

Xu S, Wang Y, Tai DCS, Wang S, Cheng CL, Peng Q, Yan J, Chen Y, Sun J, Liang X, Zhu Y, Rajapakse JC, Welsch RE, So PTC, Wee A, Hou J, Yu H.

J Hepatol. 2014 Aug;61(2):260-269. doi: 10.1016/j.jhep.2014.02.015. Epub 2014 Feb 26.

8.

Neutrophils infected with highly virulent influenza H3N2 virus exhibit augmented early cell death and rapid induction of type I interferon signaling pathways.

Ivan FX, Tan KS, Phoon MC, Engelward BP, Welsch RE, Rajapakse JC, Chow VT.

Genomics. 2013 Feb;101(2):101-12. doi: 10.1016/j.ygeno.2012.11.008. Epub 2012 Nov 27.

9.

Estimation of the population of neutrophils induced to differentiate from the MPRO mouse promyelocytic cell line.

Ivan FX, Welsch RE, Chow VT, Rajapakse JC.

Conf Proc IEEE Eng Med Biol Soc. 2011;2011:6001-4. doi: 10.1109/IEMBS.2011.6091483.

PMID:
22255707
10.

Predicting in vivo anti-hepatofibrotic drug efficacy based on in vitro high-content analysis.

Zheng B, Tan L, Mo X, Yu W, Wang Y, Tucker-Kellogg L, Welsch RE, So PT, Yu H.

PLoS One. 2011;6(11):e26230. doi: 10.1371/journal.pone.0026230. Epub 2011 Nov 2.

11.

Differential pulmonary transcriptomic profiles in murine lungs infected with low and highly virulent influenza H3N2 viruses reveal dysregulation of TREM1 signaling, cytokines, and chemokines.

Ivan FX, Rajapakse JC, Welsch RE, Rozen SG, Narasaraju T, Xiong GM, Engelward BP, Chow VT.

Funct Integr Genomics. 2012 Mar;12(1):105-17. doi: 10.1007/s10142-011-0247-y. Epub 2011 Aug 28.

PMID:
21874528
12.

MCAM: multiple clustering analysis methodology for deriving hypotheses and insights from high-throughput proteomic datasets.

Naegle KM, Welsch RE, Yaffe MB, White FM, Lauffenburger DA.

PLoS Comput Biol. 2011 Jul;7(7):e1002119. doi: 10.1371/journal.pcbi.1002119. Epub 2011 Jul 21.

13.

PTMScout, a Web resource for analysis of high throughput post-translational proteomics studies.

Naegle KM, Gymrek M, Joughin BA, Wagner JP, Welsch RE, Yaffe MB, Lauffenburger DA, White FM.

Mol Cell Proteomics. 2010 Nov;9(11):2558-70. doi: 10.1074/mcp.M110.001206. Epub 2010 Jul 14.

14.

A cell profiling framework for modeling drug responses from HCS imaging.

Ng AY, Rajapakse JC, Welsch RE, Matsudaira PT, Horodincu V, Evans JG.

J Biomol Screen. 2010 Aug;15(7):858-68. doi: 10.1177/1087057110372256. Epub 2010 Jun 4.

PMID:
20525958

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