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Items: 1 to 20 of 38

1.

Ultra-widefield Imaging of the Peripheral Retinal Vasculature in Normal Subjects.

Singer M, Sagong M, van Hemert J, Kuehlewein L, Bell D, Sadda SR.

Ophthalmology. 2016 May;123(5):1053-9. doi: 10.1016/j.ophtha.2016.01.022.

PMID:
26896126
2.

Application of a wide-field phantom eye for optical coherence tomography and reflectance imaging.

Corcoran A, Muyo G, van Hemert J, Gorman A, Harvey AR.

J Mod Opt. 2015 Dec 15;62(21):1828-1838.

3.

Glaucoma classification using Regional Wavelet Features of the ONH and its surroundings.

Haleem MS, Han L, van Hemert J, Fleming A.

Conf Proc IEEE Eng Med Biol Soc. 2015 Aug;2015:4318-21. doi: 10.1109/EMBC.2015.7319350.

PMID:
26737250
4.

Diabetic Retinopathy Severity and Peripheral Lesions Are Associated with Nonperfusion on Ultrawide Field Angiography.

Silva PS, Dela Cruz AJ, Ledesma MG, van Hemert J, Radwan A, Cavallerano JD, Aiello LM, Sun JK, Aiello LP.

Ophthalmology. 2015 Dec;122(12):2465-72. doi: 10.1016/j.ophtha.2015.07.034.

PMID:
26350546
5.

Measuring the precise area of peripheral retinal non-perfusion using ultra-widefield imaging and its correlation with the ischaemic index.

Tan CS, Chew MC, van Hemert J, Singer MA, Bell D, Sadda SR.

Br J Ophthalmol. 2016 Feb;100(2):235-9. doi: 10.1136/bjophthalmol-2015-306652.

PMID:
26135013
6.

Not All Retina Is Created Equal: Metabolic Quantification of Ultra-Widefield Images.

Croft DE, Wykoff CC, van Hemert J, Verhoek M, Brown DM.

Ophthalmology. 2015 Dec;122(12):2580-2. doi: 10.1016/j.ophtha.2015.05.043. No abstract available.

PMID:
26123089
7.

Assessment of accuracy and precision of quantification of ultra-widefield images.

Sagong M, van Hemert J, Olmos de Koo LC, Barnett C, Sadda SR.

Ophthalmology. 2015 Apr;122(4):864-6. doi: 10.1016/j.ophtha.2014.11.016. No abstract available.

PMID:
25576995
8.

Blood vessel segmentation and width estimation in ultra-wide field scanning laser ophthalmoscopy.

Pellegrini E, Robertson G, Trucco E, MacGillivray TJ, Lupascu C, van Hemert J, Williams MC, Newby DE, van Beek E Jr, Houston G.

Biomed Opt Express. 2014 Nov 17;5(12):4329-37. doi: 10.1364/BOE.5.004329.

9.

Retinal area detector from scanning laser ophthalmoscope (SLO) images for diagnosing retinal diseases.

Haleem MS, Han L, van Hemert J, Li B, Fleming A.

IEEE J Biomed Health Inform. 2015 Jul;19(4):1472-82. doi: 10.1109/JBHI.2014.2352271.

PMID:
25167560
10.

Precise montaging and metric quantification of retinal surface area from ultra-widefield fundus photography and fluorescein angiography.

Croft DE, van Hemert J, Wykoff CC, Clifton D, Verhoek M, Fleming A, Brown DM.

Ophthalmic Surg Lasers Imaging Retina. 2014 Jul-Aug;45(4):312-7. doi: 10.3928/23258160-20140709-07.

PMID:
25037013
11.

Histatin 5 binds to Porphyromonas gingivalis hemagglutinin B (HagB) and alters HagB-induced chemokine responses.

Borgwardt DS, Martin AD, Van Hemert JR, Yang J, Fischer CL, Recker EN, Nair PR, Vidva R, Chandrashekaraiah S, Progulske-Fox A, Drake D, Cavanaugh JE, Vali S, Zhang Y, Brogden KA.

Sci Rep. 2014 Jan 29;4:3904. doi: 10.1038/srep03904.

12.

Automatic extraction of retinal features from colour retinal images for glaucoma diagnosis: a review.

Haleem MS, Han L, van Hemert J, Li B.

Comput Med Imaging Graph. 2013 Oct-Dec;37(7-8):581-96. doi: 10.1016/j.compmedimag.2013.09.005. Review.

PMID:
24139134
13.

Towards automatic detection of abnormal retinal capillaries in ultra-widefield-of-view retinal angiographic exams.

Zutis K, Trucco E, Hubschman JP, Reed D, Shah S, van Hemert J.

Conf Proc IEEE Eng Med Biol Soc. 2013;2013:7372-5. doi: 10.1109/EMBC.2013.6611261.

PMID:
24111448
14.

Human β-defensin-3 alters, but does not inhibit, the binding of Porphyromonas gingivalis haemagglutinin B to the surface of human dendritic cells.

Van Hemert JR, Recker EN, Dietrich D, Progulske-Fox A, Kurago ZB, Walters KS, Cavanaugh JE, Brogden KA.

Int J Antimicrob Agents. 2012 Jul;40(1):75-9. doi: 10.1016/j.ijantimicag.2012.03.007.

15.

Comparative analysis of grapevine whole-genome gene predictions, functional annotation, categorization and integration of the predicted gene sequences.

Grimplet J, Van Hemert J, Carbonell-Bejerano P, Díaz-Riquelme J, Dickerson J, Fennell A, Pezzotti M, Martínez-Zapater JM.

BMC Res Notes. 2012 May 3;5:213. doi: 10.1186/1756-0500-5-213.

16.

EnzML: multi-label prediction of enzyme classes using InterPro signatures.

De Ferrari L, Aitken S, van Hemert J, Goryanin I.

BMC Bioinformatics. 2012 Apr 25;13:61. doi: 10.1186/1471-2105-13-61.

17.

Discriminating response groups in metabolic and regulatory pathway networks.

Van Hemert JL, Dickerson JA.

Bioinformatics. 2012 Apr 1;28(7):947-54. doi: 10.1093/bioinformatics/bts039.

18.

PLEXdb: gene expression resources for plants and plant pathogens.

Dash S, Van Hemert J, Hong L, Wise RP, Dickerson JA.

Nucleic Acids Res. 2012 Jan;40(Database issue):D1194-201. doi: 10.1093/nar/gkr938.

19.

Validation and mismatch repair of workflows through typed data streams.

Yaikhom G, Atkinson MP, van Hemert JI, Corcho O, Krause A.

Philos Trans A Math Phys Eng Sci. 2011 Aug 28;369(1949):3285-99. doi: 10.1098/rsta.2011.0135.

20.

Performance database: capturing data for optimizing distributed streaming workflows.

Liew CS, Atkinson MP, Ostrowski R, Cole M, van Hemert JI, Han L.

Philos Trans A Math Phys Eng Sci. 2011 Aug 28;369(1949):3268-84. doi: 10.1098/rsta.2011.0134.

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