Type: Article [rss]
[35] Measuring the precise area of peripheral retinal non-perfusion using ultra-widefield imaging and its correlation with the ischaemic index (C.S. Tan, M.C. Chew, J. van Hemert, M.A. Singer, D. Bell, S.R. Sadda), In Br J Ophthalmol, volume 100, 2016. [bib] [pdf] [doi]
[34] Ultra-widefield Imaging of the Peripheral Retinal Vasculature in Normal Subjects (M. Singer, M. Sagong, Jano van Hemert, L. Kuehlewein, D. Bell, S.R. Sadda), In Ophthalmology, volume 123, 2016. [bib] [pdf] [doi]
[33] Diabetic Retinopathy Severity and Peripheral Lesions Are Associated with Nonperfusion on Ultrawide Field Angiography (P.S. Silva, A.J. Dela Cruz, M.G. Ledesma, J. van Hemert, A. Radwan, J.D. Cavallerano, L.M. Aiello, J.K. Sun, L.P. Aiello), In Ophthalmology, volume 122, 2015. [bib] [pdf] [doi]
[32] Not All Retina Is Created Equal: Metabolic Quantification of Ultra-Widefield Images (D.E. Croft, C.C. Wykoff, J. van Hemert, M. Verhoek, D.M. Brown), In Ophthalmology, volume 122, 2015. [bib] [pdf] [doi]
[31] Assessment of Accuracy and Precision of Quantification of Ultra-Widefield Images (M. Sagong, J. van Hemert, L.C. Olmos de Koo, C. Barnett, S.R. Sadda), In Ophthalmology, volume 122, 2015. [bib] [pdf] [doi]
[30] Retinal Area Detector From Scanning Laser Ophthalmoscope (SLO) Images for Diagnosing Retinal Diseases (M.S. Haleem, Liangxiu Han, J. van Hemert, Baihua Li, A. Fleming), In Biomedical and Health Informatics, IEEE Journal of, volume 19, 2015. [bib] [pdf] [doi]
[29] Application of a wide-field phantom eye for optical coherence tomography and reflectance imaging (A. Corcoran, G. Muyo, J. van Hemert, A. Gorman, A.R. Harvey), In Journal of Modern Optics, volume 62, 2015. [bib] [pdf] [doi]
[28] Blood vessel segmentation and width estimation in ultra-wide field scanning laser ophthalmoscopy (E. Pellegrini, G. Robertson, E. Trucco, T.J. MacGillivray, C. Lupascu, J. van Hemert, M.C. Williams, D.E. Newby, E.J.R. van Beek, G. Houston), In Biomed. Opt. Express, OSA, volume 5, 2014. [bib] [pdf] [doi]
[27] Quantification of Ultra-Widefield Retinal Images (D.E. Croft, C.C. Wykoff, D.M. Brown, J. van Hemert, M. Verhoek), In Retina Today, 2014. [bib] [pdf]
[26] Precise montaging and metric quantification of retinal surface area from ultra-widefield fundus photography and fluorescein angiography. (D.E. Croft, J. van Hemert, C.C. Wykoff, D. Clifton, M. Verhoek, A. Fleming, D.M. Brown), In Ophthalmic Surg Lasers Imaging Retina, volume 45, 2014. [bib] [doi]
[25] Automatic extraction of retinal features from colour retinal images for glaucoma diagnosis: A review (M.S. Haleem, L. Han, J. van Hemert, B. Li), In Computerized Medical Imaging and Graphics, Elsevier Science, volume 37, 2013. [bib] [pdf]
[24] EnzML: multi-label prediction of enzyme classes using InterPro signatures (L. De Ferrari, S. Aitken, J. van Hemert, I. Goryanin), In BMC Bioinformatics, volume 13, 2012. [bib]
[23] Reducing Data Transfer in Service-Oriented Architectures: The Circulate Approach (A. Barker, J. Weissman, J. van Hemert), In IEEE T. Services Computing, volume 5, 2012. [bib]
[22] Validation and mismatch repair of workflows through typed data streams (G. Yaikhom, M.P. Atkinson, J.I. van Hemert, O. Corcho, A. Krause), In Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, volume 369, 2011. [bib] [pdf] [doi]
[21] Discovering the suitability of optimisation algorithms by learning from evolved instances (K. Smith-Miles, J.I. van Hemert), In Annals of Mathematics and Artificial Intelligence, volume 61, 2011. [bib] [pdf] [doi]
[20] Performance database: capturing data for optimizing distributed streaming workflows (C.S. Liew, M.P. Atkinson, R. Ostrowski, M. Cole, J.I. van Hemert, L. Han), In Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, volume 369, 2011. [bib] [pdf] [doi]
[19] A Generic Parallel Processing Model for Facilitating Data Mining and Integration (L. Han, C.S. Liew, Malcolm P.A., J.I. van Hemert), In Parallel Computing, Elsevier, volume 37, 2011. [bib] [pdf]
[18] Generating web-based user interfaces for computational science (J.I. van Hemert, J. Koetsier, L. Torterolo, I. Porro, M. Melato, R. Barbera), In Concurrency and Computation: Practice and Experience, Wiley, volume 23, 2011. [bib]
[17] Automatically Identifying and Annotating Mouse Embryo Gene Expression Patterns (L. Han, J.I. van Hemert, R.A. Baldock), In Bioinformatics, volume 27, 2011. [bib] [pdf] [doi]
[16] Special Issue: Portals for life sciences---Providing intuitive access to bioinformatic tools (S. Gesing, J.I. van Hemert, P. Kacsuk, O. Kohlbacher), In Concurrency and Computation: Practice and Experience, Wiley, volume 23, 2011. [bib]
[15] Managing dynamic enterprise and urgent workloads on clouds using layered queuing and historical performance models (D.A. Bacigalupo, J.I. van Hemert, X. Chen, A. Usmani, A.P. Chester, L. He, D.N. Dillenberger, G.B. Wills, L. Gilbert, S.A. Jarvis), In Simulation Modelling Practice and Theory, volume 19, 2011. [bib]
[14] A user-friendly web portal for T-Coffee on supercomputers (J. Rius, F. Cores, F. Solsona, J.I. van Hemert, J. Koetsier, C. Notredame), In BMC Bioinformatics, volume 12, 2011. [bib] [pdf] [doi]
[13] An Open Source Toolkit for Medical Imaging De-Identification (D. Rodr\'\iguez González, T. Carpenter, J.I. van Hemert, J. Wardlaw), In European Radiology, volume 20, 2010. [bib] [pdf]
[12] Correcting for intra-experiment variation in Illumina BeadChip data is necessary to generate robust gene-expression profiles (R. Kitchen, V. Sabine, A. Sims, E.J. Macaskill, L. Renshaw, Jeremy Thomas, J.I. van Hemert, J.M. Dixon, J. Bartlett), In BMC Genomics, volume 11, 2010. [bib] [pdf] [doi]
[11] Using the DCC Lifecycle Model to Curate a Gene Expression Database: A Case Study (J. O'Donoghue, J.I. van Hemert), In International Journal of Digital Curation, volume 4, 2009. [bib]
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