Publications in cv.bib [rss]
[116] 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]
[115] 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]
[114] 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]
[113] 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]
[112] 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]
[111] 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]
[110] Supplement 173: Wide Field Ophthalmic Photography Image Storage SOP Classes (DICOM Standards Committee), DICOM Work Item 2013-12-A undertaken by WG 9 (Ophthalmology)., 2015. (DICOM Work Item 2013-12-A undertaken by WG 9 (Ophthalmology).) [bib] [pdf]
[109] 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]
[108] Evolutionary Computation and Constraint Satisfaction (J. van Hemert), Chapter in Handbook of Computational Intelligence (J. Kacpryk, W. Pedrycz, eds.), Springer, 2015. [bib] [doi]
[107] IMAGING OF THE EYE (J. van Hemert, M. Verhoek), US20140327877-A1, Patent Pending, 2014. (US20140327877-A1) [bib]
[106] 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]
[105] Superpixel Based Retinal Area Detection in SLO Images (M.S. Haleem, L. Han, J.I. van Hemert, B. Li, A. Fleming), In Computer Vision and Graphics---International Conference, ICCVG 2014 (L.J. Chmielewski, R. Kozera, B.-S. Shin, K.W. Wojciechowski, eds.), Springer, volume 8671, 2014. [bib] [pdf] [doi]
[104] 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]
[103] 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]
[102] Towards automatic detection of abnormal retinal capillaries in ultra-widefield-of-view retinal angiographic exams (K. Zutis, E. Trucco, J.P. Hubschman, D. Reed, S. Shah, J. van Hemert), In Conf Proc IEEE Eng Med Biol Soc, 2013. [bib] [doi]
[101] IMPROVEMENTS IN AND RELATING TO OPHTHALMOSCOPES (D. Swan, J. van Hemert, M. Verhoek, Muyo G.),, Patent Pending, 2013. ( [bib]
[100] 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]
[99] Automatic Extraction of the Optic Disc Boundary for Detecting Retinal Diseases (M.S. Haleem, L. Han, B. Li, A. Nisbet, J. van Hemert, M. Verhoek), In 14th IASTED International Conference on Computer Graphics and Imaging (CGIM) (L. Linsen, M. Kampel, eds.), ACTA Press, volume 798, 2013. [bib] [doi]
[98] The DATA Bonanza: Improving Knowledge Discovery for Science, Engineering and Business (M.P. Atkinson, R. Baxter, P. Brezany, O. Corcho, M. Galea, J. van Hemert, M. Parsons, D. Snelling), (Albert Y. Zamaya (series), ed.), John Wiley & Sons Ltd., 2013. [bib]
[97] 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]
[96] 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]
[95] 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]
[94] 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]
[93] 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]
[92] 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]
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