Publications of Dr Jano van Hemert

2023
[147]	Baseline retinal vascular bed area on ultra-wide field fluorescein angiography correlates with the anatomical outcome of diabetic macular oedema to ranibizumab therapy: two-year analysis of the DAVE Study (Fan, W, Uji, A, Wykoff, CC, Brown, DM, van Hemert, J, Falavarjani, KG, Wang, K, Sadda, SR and Ip, M), In Eye, volume 37, 2023. [bibtex]
2022
[146]	Choroidal vascular alterations evaluated by ultra-widefield indocyanine green angiography in central serous chorioretinopathy (S Jeong, W Kang, D Noh van Hemert, J and M Sagong), In Graefes Arch Clin Exp Ophthalmol, volume 260, 2022. [bibtex] [url]
[145]	Clinical significance of metabolic quantification for retinal nonperfusion in diabetic retinopathy (Jeong, A, Yao, X, van Hemert, J and Sagong, M), In Scientific Reports, volume 12, 2022. [bibtex] [url] [doi]
[144]	Multi-modal retinal scanning to measure retinal thickness and peripheral blood vessels in multiple sclerosis (Pearson, T, Chen, Y, Dhillon, B, Chandran, S, van Hemert, J and MacGillivray, T), In Sci. Rep., Springer Science and Business Media LLC, volume 12, 2022. [bibtex]
2021
[143]	Effects of refractive power on quantification using ultra-widefield retinal imaging (Lim, S-H, Jeong, S, Ahn, JH, van Hemert, J and Sagong, M), In BMC Ophthalmology, volume 21, 2021. [bibtex] [url] [doi]
[142]	Retinal vascular bed area on ultra-wide field fluorescein angiography indicates the severity of diabetic retinopathy (Fan, W, Uji, A, Nittala, M, Wykoff, CC, Brown, D, Fleming, A, Robertson, G, van Hemert, J, Sadda, S and Ip, M S), In Br J Ophthalmol, 2021. [bibtex] [doi]
[141]	A New Biomarker Quantifying The Effect Of Anti-VEGF Therapy In Eyes With Proliferative Diabetic Retinopathy On Ultra-wide Field Fluorescein Angiography: Recovery Study (Fan, W, Nittala, M G, Wykoff, CC, Brown, DM, Uji, A, van Hemert, J, Fleming, A, Robertson, G, Sadda, SR and Ip, M), In Retina, 2021. [bibtex]
[140]	Macular Microvascular Changes and Their Correlation With Peripheral Nonperfusion in Branch Retinal Vein Occlusion (Ryu, G, Park, D, Lim, J, van Hemert, J and Sagong, M), In Am J Ophthalmol, volume 225, 2021. [bibtex] [url] [doi]
[139]	Relationship between distribution and severity of non-perfusion and cytokine levels and macular thickness in branch retinal vein occlusion (Ryu, G, Noh, D, van Hemert, J, Sadda, SR and Sagong, M), In Scient Rep, volume 11, 2021. [bibtex] [url] [doi]
2020
[138]	Fractal analysis of retinal vasculature in normal subjects on ultra-wide field fluorescein angiography (Fan, W-Y, Fleming, A, Robertson, G, Uji, A, van Hemert, J, Singer, M, Sagong, M, Ip, M and Sadda, SR), In Int. J. Ophthalmol., volume 13, 2020. [bibtex]
[137]	Quantitative analysis of choroidal vasculature in polypoidal choroidal vasculopathy using ultra-widefield indocyanine green angiography (Ryu, G, Moon, C, van Hemert, J and Sagong, M), In Nature Scient Rep, volume 10, 2020. [bibtex] [url] [doi]
[136]	Retinal vascular caliber association with nonperfusion and diabetic retinopathy severity depends on vascular caliber measurement location (Ashraf, M, Shokrollahi, S, Pisig, AU, Sampani, K, Abdelal, O, Cavallerano, JD, Robertson, G, Fleming, A, van Hemert, J, Pitoc, CM, Sun, JK, Aiello, LP and Silva, PS), In Ophthalmol Retina, 2020. [bibtex] [url] [doi]
[135]	Distribution of peripheral lesions identified by mydriatic ultra-wide field fundus imaging in diabetic retinopathy (Verma, A, Alagorie, AR, Ramasamy, K, van Hemert, J, Yadav, H, Pappuru, RR, Tufail, A, Nittala, MG, Sadda, SR and Raman, R), In Graefe's Archive for Clinical and Experimental Ophthalmology, volume 258, 2020. [bibtex] [url] [doi]
[134]	Association between hypertension and retinal vascular features in ultra-widefield fundus imaging (Robertson, G, Fleming, A, Williams, MC, Trucco, E, Quinn, N, Hogg, R, McKay, GJ, Kee, F, Young, I, Pellegrini, E, Newby, DE, van Beek, EJR, Peto, T, Dhillon, B, van Hemert, J and MacGillivray, TJ), In Open Heart, volume 7, 2020. [bibtex] [url] [doi]
[133]	Distribution and Location of Vortex Vein Ampullae in Healthy Human Eyes as Assessed by Ultra-Widefield Indocyanine Green Angiography (Verma, A, Maram, J, Alagorie, AR, Gupta Nittala, M, van Hemert, J, Keane, D, Carnevale, J, Bell, D, Singer, M and Sadda, SR), In Ophthalmol Retina, volume 4, 2020. [bibtex] [url] [doi]
[132]	Peripheral extent of the choroidal circulation by ultra-widefield indocyanine green angiography in healthy eyes (Verma, A, Maram, J, Alagorie, AR, van Hemert, J, Bell, DJ, Singer, M, Keane, D, Carnevale, J, Nittala, M and Sadda, SR), In Br J Ophthalmol, 2020. [bibtex] [url] [doi]
[131]	Optic Disc and Fovea Localisation in Ultra-widefield Scanning Laser Ophthalmoscope Images Captured in Multiple Modalities (Wakeford, PR, Pellegrini, E, Robertson, G, Verhoek, M, Fleming, AD, van Hemert, J and Heng, IS), In Communications in Computer and Information Science (Zheng, Yalin, Williams, Bryan M., Chen, Ke, eds.), Springer International Publishing, 2020. [bibtex] [doi]
2019
[130]	Effect of phase-plate adjustment on retinal image sharpness and visible retinal area on ultrawide-field imaging (A Gupta, H El-Rami, R Barham, A Fleming, van Hemert, J, JK Sun, PS Silva and LP Aiello), In Eye, Springer Nature America, 2019. [bibtex] [url] [doi]
[129]	Classification of Regions of Nonperfusion on Ultra-widefield Fluorescein Angiography in patients with Diabetic Macular Edema (Fang, M, Fan, W, Shi, Y, Ip, MS, Wykoff, CC, Wang, K, Falavarjani, KG, Brown, DM, van Hemert, J and Sadda, SR), In Am J Ophthalmol, Elsevier, 2019. [bibtex] [url] [doi]
[128]	Distribution of Non-perfusion and Neovascularization on Ultra-Wide Field Fluorescein Angiography in Proliferative Diabetic Retinopathy (RECOVERY Study): Report 1 (Fan, W, Nittala, MG, Velaga, SB, Hirano, T, Wykoff, CC, Ip, M, Lampen, SIR, van Hemert, J, Fleming, A, Verhoek, M and Sadda, SR), In Am J Ophthalmol, 2019. [bibtex]
[127]	Severity of diabetic macular edema correlates with retinal vascular bed area on ultra-wide field fluorescein angiography. DAVE Study. (Fan, W, Uji, A, Wang, K, Falavarjani, KG, Wykoff, CC, Brown, DM, van Hemert, J, Sagong, M, Sadda, SR and Ip, M), In Retina, 2019. [bibtex]
[126]	Relationship Between Retinal Fractal Dimension and Non-perfusion in Diabetic Retinopathy on Ultra-Wide Field Fluorescein Angiography (Fan, W, Nittala, MG, Fleming, A, Robertson, G, Uji, A, Wykoff, CC, Brown, DM, van Hemert, J, Ip, M, Wang, K, Falavarjani, KG, Singer, M, Sagong, M and Sadda, SR), In Am J Ophthalmol, 2019. [bibtex]
[125]	Imaging of the eye (van Hemert, J and Verhoek, M), USPTO, 2019, US10357150B2 with priority to GB201307990D0. [bibtex] [pdf]
[124]	Imaging of the eye (van Hemert, J., Verhoek, M., Brown, D., Wykoff, C. and Croft, D.), USPTO, 2019, US10349825B2 with priority to GB201307990D0. [bibtex] [pdf]
[123]	Improvements in and Relating to Imaging of the Eye (van Hemert, J. and Verhoek, M.), EPO, 2019, EP2800058B2 with priority to GB201307990D0. [bibtex] [pdf]
2018
[122]	A Novel Adaptive Deformable Model for Automated Optic Disc and Cup Segmentation to Aid Glaucoma Diagnosis (Haleem, MS, Han, L, van Hemert, J, Li, B, Fleming, A, Pasquale, LR and Song, BJ), In J Med Syst, volume 42, 2018. [bibtex] [url] [doi]
[121]	Changes in retinal ischaemic index correlate with recalcitrant macular oedema in retinal vein occlusion: WAVE study (Kwon, S, Wykoff, CC, Brown, DM, van Hemert, J, Fan, W and Sadda, SR), In Br J Ophthalmol, BMJ Publishing Group Ltd, 2018. [bibtex] [url] [doi]
[120]	A Graph Cut Approach to Artery/Vein Classification in Ultra-Widefield Scanning Laser Ophthalmoscopy (E Pellegrini, G Robertson, T MacGillivray, van Hemert, J, G Houston and E Trucco), In IEEE Trans Med Imag, volume 37, 2018. [bibtex] [doi]
[119]	Precise Measurement of Retinal Vascular Bed Area and Density on Ultra-wide Fluorescein Angiography in Normal Subjects (Fan, W, Uji, A, Borrelli, E, Singer, M, Sagong, M, van Hemert, J and Sadda, SR), In Am J Ophthalmol, Elsevier, volume 188, 2018. [bibtex] [url] [doi]
[118]	Comparison of subjective assessment and precise quantitative assessment of lesion distribution in diabetic retinopathy (Sears, C, Nittala, MG, Jayadev, C, M Verhoek, A Fleming, van Hemert, J, Tsui, I and SriniVas RS), In JAMA Ophthalmology, volume 136, 2018. [bibtex] [url] [doi]
[117]	Ultra-Wide-Field Fluorescein Angiography-Guided Normalization of Ischemic Index Calculation in Eyes With Retinal Vein Occlusion (Wang, K, Ghasemi Falavarjani, K, Nittala, MG, Sagong, M, Wykoff, CC, van Hemert, J, Ip, M and Sadda, SR), In Invest. Ophthalmol. Vis. Sci., volume 59, 2018. [bibtex] [url]
2017
[116]	Distribution of Nonperfusion Area on Ultra-widefield Fluorescein Angiography in Eyes With Diabetic Macular Edema: DAVE Study (Fan, W, Wang, K, Ghasemi Falavarjani, K, Sagong, M, Uji, A, Ip, M, Wykoff, CC, Brown, DM, van Hemert, J and Sadda, SR), In Am J Ophthalmol, volume 180, 2017. [bibtex] [url] [doi]
[115]	Combined high contrast and wide field of view in the scanning laser ophthalmoscope through dual detection of light paths (G Carles, G Muyo, van Hemert, J and Harvey, AR), In Journal of Biomedical Optics, volume 22, 2017. [bibtex] [url] [doi]
[114]	Choroidal vascular abnormalities by UWF ICGA in central serous chorioretinopathy (M Sagong, D Noh, van Hemert, J and J Lee), In Acta Ophthalmologica, Wiley, volume 95, 2017. [bibtex] [url] [doi]
[113]	Hemorrhage and/or Microaneurysm Severity and Count in Ultrawide Field Images and Early Treatment Diabetic Retinopathy Study Photography (Silva, PS, El-Rami, H, Barham, R, Gupta, A, Fleming, A, van Hemert, J, Cavallerano, JD, Sun, JK and Aiello, LP), In Ophthalmology, volume 124, 2017. [bibtex] [url] [doi]
2016
[112]	Regional Image Features Model for Automatic Classification between Normal and Glaucoma in Fundus and Scanning Laser Ophthalmoscopy Images (Haleem, MS, Han, L, van Hemert, J, Fleming, A, Pasquale, LR, Silva, PS, Song, BJ and Aiello, LP), In J Med Syst, volume 40, 2016. [bibtex] [url] [doi]
[111]	Scientific Workflows: Moving Across Paradigms (Liew, CS, Atkinson, MP, Galea, M, Ang, TF, Martin, P and van Hemert, JI), In ACM Comput. Surv., ACM, volume 49, 2016. [bibtex] [url] [doi]
[110]	Ultra-widefield Imaging of the Peripheral Retinal Vasculature in Normal Subjects (M Singer, M Sagong, van Hemert, J, L Kuehlewein, D Bell and SR Sadda), In Ophthalmology, volume 123, 2016. [bibtex] [url] [doi]
[109]	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 and Sadda, SR), In Br J Ophthalmol, volume 100, 2016. [bibtex] [doi]
[108]	Image processing (Clifton, D and Fleming, A), Patent Pending, 2016, 20170032502. [bibtex]
2015
[107]	Evolutionary Computation and Constraint Satisfaction (van Hemert, J), Chapter in Handbook of Computational Intelligence (Kacpryk, J, Pedrycz, W, eds.), Springer, 2015. [bibtex] [doi]
[106]	Application of a wide-field phantom eye for optical coherence tomography and reflectance imaging (Corcoran, A, Muyo, G, van Hemert, J, Gorman, A and Harvey, A), In J Mod Optics, volume 62, 2015. [bibtex] [url] [doi]
[105]	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. [bibtex] [pdf]
[104]	Retinal Area Detector From Scanning Laser Ophthalmoscope Images for Diagnosing Retinal Diseases (Haleem, MS, Liangxiu Han, van Hemert, J, Baihua Li and Fleming, A), In IEEE J Biomed Health Inform, volume 19, 2015. [bibtex] [doi]
[103]	Assessment of Accuracy and Precision of Quantification of Ultra-Widefield Images (Sagong, M, van Hemert, J, Olmos de Koo, LC, Barnett, C and Sadda, SR), In Ophthalmology, volume 122, 2015. [bibtex] [url] [doi]
[102]	Not All Retina Is Created Equal: Metabolic Quantification of Ultra-Widefield Images (Croft, DE, Wykoff, CC, van Hemert, J, Verhoek, M and Brown, DM), In Ophthalmology, volume 122, 2015. [bibtex]
[101]	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 and Aiello, LP), In Ophthalmology, volume 122, 2015. [bibtex]
[100]	Improvements in and relating to imaging of the eye (van Hemert, J, Wykoff, C, Verhoek, M, Brown, D and Daniel, C), Patent Pending, 2015, WO2015GB51301. [bibtex]
2014
[99]	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 and Brown, DM), In Ophthalmic Surg Lasers Imaging Retina, volume 45, 2014. [bibtex] [doi]
[98]	Quantification of Ultra-Widefield Retinal Images (DE Croft, CC Wykoff, DM Brown, van Hemert, J and M Verhoek), In Retina Today, 2014. [bibtex]
[97]	Superpixel Based Retinal Area Detection in SLO Images (MS Haleem, L Han, van Hemert, J, B Li and A Fleming), In Computer Vision and Graphics (LJ Chmielewski, R Kozera, B-S Shin, KW Wojciechowski, eds.), Springer, volume 8671, 2014. [bibtex] [url] [doi]
[96]	Blood vessel segmentation and width estimation in ultra-wide field scanning laser ophthalmoscopy (E Pellegrini, G Robertson, E Trucco, TJ MacGillivray, C Lupascu, van Hemert, J, MC Williams, DE Newby, van Beek, EJR and G Houston), In Biomed. Opt. Express, OSA, volume 5, 2014. [bibtex] [url] [doi]
[95]	IMAGING OF THE EYE (van Hemert, J and Verhoek, M), Patent Pending, 2014, US 20140327877. [bibtex]
2013
[94]	The DATA Bonanza: Improving Knowledge Discovery for Science, Engineering and Business (MP Atkinson, R Baxter, P Brezany, O Corcho, M Galea, J van Hemert, M Parsons and D Snelling), John Wiley & Sons, 2013, 576 pages. [bibtex]
[93]	Automatic Extraction of the Optic Disc Boundary for Detecting Retinal Diseases (MS Haleem, L Han, B Li, A Nisbet, J van Hemert and M Verhoek), In Comp Graphics Imag (L Linsen, M Kampel, eds.), ACTA Press, volume 798, 2013. [bibtex] [doi]
[92]	Automatic extraction of retinal features from colour retinal images for glaucoma diagnosis: A review (Haleem, MS, Han, L, van Hemert, J and Li, B), In Comput Med Imaging Graph, Elsevier Science, volume 37, 2013. [bibtex] [url]
[91]	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 and van Hemert, J), In Conf Proc IEEE Eng Med Biol Soc, 2013. [bibtex] [doi]
2012
[90]	Reducing Data Transfer in Service-Oriented Architectures: The Circulate Approach (A Barker and JB Weissman), In IEEE T Services Computing, volume 5, 2012. [bibtex]
[89]	EnzML: multi-label prediction of enzyme classes using InterPro signatures (L De Ferrari, S Aitken, J van Hemert and I Goryanin), In BMC Bioinformatics, volume 13, 2012. [bibtex]
2011
[88]	Service Infrastructure for Cross-Matching Distributed Datasets Using OGSA-DAI and TAP (Holliman, M, Alemu, T, Hume, A, van Hemert, J, Mann, RG, Noddle, K and Valkonen, L), In Astronomical Data Analysis Software and Systems XX (IN Evans, A Accomazzi, DJ Mink, AH Rots, eds.), Astronomical Society of the Pacific, volume 442, 2011. [bibtex] [pdf]
[87]	A user-friendly web portal for T-Coffee on supercomputers (J Rius, F Cores, F Solsona, van Hemert, J, J Koetsier and C Notredame), In BMC Bioinformatics, volume 12, 2011. [bibtex] [url] [doi]
[86]	Managing dynamic enterprise and urgent workloads on clouds using layered queuing and historical performance models (DA Bacigalupo, van Hemert, J, ..., GB Wills, L Gilbert and SA Jarvis), In Simulation Modelling Practice and Theory, volume 19, 2011. [bibtex]
[85]	Special Issue: Portals for life sciences—Providing intuitive access to bioinformatic tools (Gesing, S, van Hemert, J, Kacsuk, P and Kohlbacher, O), In Concurrency and Computation: Practice and Experience, Wiley, volume 23, 2011. [bibtex]
[84]	Automatically Identifying and Annotating Mouse Embryo Gene Expression Patterns (Han, L, van Hemert, JI and Baldock, RA), In Bioinformatics, volume 27, 2011. [bibtex] [url] [doi]
[83]	Generating web-based user interfaces for computational science (van Hemert, J, Koetsier, J, ..., Melato, M and Barbera, R), In Concurrency and Computation: Practice and Experience, Wiley, volume 23, 2011. [bibtex]
[82]	A Generic Parallel Processing Model for Facilitating Data Mining and Integration (L Han, CS Liew, Malcolm PA and van Hemert, JI), In Parallel Computing, Elsevier, volume 37, 2011. [bibtex] [url]
[81]	Performance database: capturing data for optimizing distributed streaming workflows (Liew, C, Atkinson, M, ..., van Hemert, J and Han, L), In Philos T R Soc A, volume 369, 2011. [bibtex] [url] [doi]
[80]	Discovering the suitability of optimisation algorithms by learning from evolved instances (K Smith-Miles and van Hemert, J), In Annals of Mathematics and Artificial Intelligence, volume 61, 2011. [bibtex] [url] [doi]
[79]	Validation and mismatch repair of workflows through typed data streams (Yaikhom, G, Atkinson, MP, van Hemert, J, Corcho, O and Krause, A), In Philos T R Soc A, volume 369, 2011. [bibtex] [url] [doi]
2010
[78]	Correcting for intra-experiment variation in Illumina BeadChip data is necessary to generate robust gene-expression profiles (Kitchen, R, Sabine, V, Sims, A, Macaskill, EJ, Renshaw, L, Thomas, J, van Hemert, J, Dixon, JM and Bartlett, J), In BMC Genomics, volume 11, 2010. [bibtex] [url] [doi]
[77]	Towards Optimising Distributed Data Streaming Graphs using Parallel Streams (CS Liew Liew, Malcolm, PA, van Hemert, JI and Han, L), In Data Intensive Distributed Computing, ACM, 2010. [bibtex] [url]
[76]	Molecular Orbital Calculations of Inorganic Compounds (Morrison, CA, Robertson, N, Turner, A, van Hemert, J and Koetsier, J), Chapter in Inorganic Experiments, Wiley-VCH, 2010. [bibtex]
[75]	An Open Source Toolkit for Medical Imaging De-Identification (Rodríguez González, D, T Carpenter, van Hemert, J and J Wardlaw), In European Radiology, volume 20, 2010. [bibtex] [url]
[74]	Understanding TSP Difficulty by Learning from Evolved Instances (K Smith-Miles, van Hemert, J and Yu Lim, X), In Collective Optimization, 2010. [bibtex]
[73]	Understanding TSP Dfficulty by Learning from Evolved Instances (Smith-Miles, KA, van Hemert, J and Lim, Y), In Learning and Intelligent Optimization (Blum, C, ed.), 2010. [bibtex]
[72]	Federated Enactment of Workflow Patterns (G Yaikhom, Liew, CS, L Han, van Hemert, JI, Atkinson, MP and A Krause), In Euro-Par (D'Ambra, P, M Guarracina, D Talia., eds.), Springer, volume LNCS 6271, 2010. [bibtex]
2009
[71]	Letter to the Editor: Abolish Conference Proceedings (van Hemert, J), In Communications of the ACM, volume 52, 2009. [bibtex] [doi]
[70]	Towards a Virtual Fly Brain (Armstrong, JD), In Phil Trans R Soc A, volume 367, 2009. [bibtex] [pdf] [doi]
[69]	A distributed architecture for data mining and integration (Atkinson, MP, van Hemert, J, Han, L, Hume, A and Liew, CS), In Data-Aware Distributed Computing, ACM, volume 2, 2009. [bibtex] [doi]
[68]	An E-infrastructure to Support Collaborative Embryo Research (Barker, A, van Hemert, J, Baldock, RA and Atkinson, MP), In Cluster Computing and the Grid, IEEE Computer Society, volume 9, 2009. [bibtex] [doi]
[67]	The Circulate Architecture: Avoiding Workflow Bottlenecks Caused By Centralised Orchestration (Barker, A, Weissman, J and van Hemert, J), In Cluster Computing, volume 12, 2009. [bibtex] [url]
[66]	Portals for Life Sciences—a Brief Introduction (Gesing, S and Kohlbacher, O), In Portals for Life Sciences (Gesing, S, van Hemert, J, eds.), volume 1, 2009. [bibtex] [pdf]
[65]	Automating Gene Expression Annotation for Mouse Embryo (Han, L, Atkinson, MP, Baldock, RA and van Hemert, J), In Advanced Data Mining and Applications, volume 5, 2009. [bibtex]
[64]	Giving Computational Science a Friendly Face (van Hemert, J and Koetsier, J), In Zero-In, volume 1, 2009. [bibtex]
[63]	Exploiting Fruitful Regions in Dynamic Routing using Evolutionary Computation (van Hemert, J and la Poutré, JA), In Bio-inspired Approaches for Vehicle Routing (Pereira Babtista, F, Tavares, J, eds.), Springer, volume 161, 2009. [bibtex]
[62]	Rapid development of computational science portals (Koetsier, J), In Portals for Life Sciences (Gesing, S, van Hemert, J, eds.), volume 1, 2009. [bibtex]
[61]	Rapid chemistry portals through engaging researchers (Koetsier, J, Turner, A and Richardson, P), In IEEE e-Science, volume 5, 2009. [bibtex]
[60]	The Evolutionary Transition Algorithm: Evolving Complex Solutions out of Simpler Ones (T Lenaerts and A Defaweux), In Nature-Inspired Algorithms for Optimisation (Raymond Chiong, ed.), Springer, volume 193, 2009. [bibtex]
[59]	Using the DCC Lifecycle Model to Curate a Gene Expression Database: A Case Study (J O'Donoghue and van Hemert, J), In International Journal of Digital Curation, volume 4, 2009. [bibtex]
2008
[58]	Orchestrating Data-Centric Workflows (Barker, A, Weissman, JB and van Hemert, J), In Cluster Computing and the Grid, IEEE Computer Society, volume 8, 2008. [bibtex]
[57]	Eliminating the Middle Man: Peer-to-Peer Dataflow (Barker, A, Weissman, JB and van Hemert, J), In High Performance Distributed Computing, ACM, volume 17, 2008. [bibtex]
[56]	Scientific Workflow: A Survey and Research Directions (Barker, A and van Hemert, J), In Parallel Processing and Applied Mathematics, Springer, volume 4967, 2008. [bibtex] [url]
[55]	Recent Advances in Evolutionary Computation for Combinatorial Optimization (Cotta, C and van Hemert, J), Springer, volume 153, 2008, 333 pages. [bibtex]
[54]	Evol Comput in Comb Optim, 8th European Conference, (van Hemert, J, Cotta, C, eds.), Springer, volume 4972, 2008. [bibtex] [url]
[53]	European Graduate Student Workshop on Evolutionary Computation, (Di Chio, C, Giacobini, M, van Hemert, J, eds.), 2008. [bibtex] [pdf]
[52]	Matching Spatial Regions with Combinations of Interacting Gene Expression Patterns (van Hemert, J and RA Baldock), In BioInformatics Research and Development (M Elloumi, \emphet al., eds.), Springer, volume 2, 2008. [bibtex]
[51]	A Novel Visual Discriminator for Network Traffic Patterns (Han, L and van Hemert, J), In Advanced Engineering Computing and Applications in Sciences, volume 2, 2008. [bibtex] [doi]
[50]	Graph Colouring Heuristics Guided by Higher Order Graph Properties (Juhos, I and van Hemert, J), In Evol Comput in Comb Optim (van Hemert, J, Cotta, C, eds.), Springer, volume 4972, 2008. [bibtex]
[49]	Contraction-Based Heuristics to Improve the Efficiency of Algorithms Solving the Graph Colouring Problem (Juhos, I and van Hemert, J), Chapter in Recent Advances in Evolutionary Computation for Combinatorial Optimization (Cotta, C, van Hemert, J, eds.), Springer, 2008. [bibtex]
2007
[48]	Evol Comput in Comb Optim, 7th European Conference, (Cotta, C, van Hemert, J, eds.), Springer, volume 4446, 2007. [bibtex] [url]
[47]	European Graduate Student Workshop on Evolutionary Computation, (Giacobini, M, van Hemert, J, eds.), 2007. [bibtex] [pdf]
[46]	Mining spatial gene expression data for association rules (van Hemert, J and RA Baldock), In BioInformatics Research and Development (S Hochreiter, R Wagner, eds.), Springer, volume 4414, 2007. [bibtex] [pdf]
[45]	Data Integration in eHealth: A Domain/Disease Specific Roadmap (J Ure, R Proctor, M Martone, D Porteous, S Lloyd, S Lawrie, D Job, R Baldock, A Philp, D Liewald, F Rakebrand, A Blaikie, C McKay, S Anderson, J Ainsworth, van Hemert, J, I Blanquer, R Sinnott, C Barillot, F Bernard Gibaud, A Williams, M Hartswood, P Watson, L Smith, A Burger, J Kennedy, H Gonzalez-Velez, R Stevens, O Coecho, R Morton, P Linksted, M Deschenne, M McGilchrist, P Johnson, A Voss, R Gertz and J Wardlaw), In Studies in Health Technology and Informatics (N Jacq, Y Legré, H Muller, I Blanquer, V Breton, D Hausser, V Hernández, T Solomonides, M Hofman-Apitius, eds.), IOPress, volume 126, 2007. [bibtex] [pdf]
2006
[44]	European Graduate Student Workshop on Evolutionary Computation, (M Giacobini, van Hemert, J, eds.), 2006. [bibtex] [pdf]
[43]	Neighborhood Searches for the Bounded Diameter Minimum Spanning Tree Problem Embedded in a VNS, EA, and ACO (M Gruber, van Hemert, J and GR Raidl), In Genetic and Evolutionary Computation (Maarten Keijzer et al., ed.), ACM, volume 2, 2006. [bibtex] [pdf]
[42]	Evolving combinatorial problem instances that are difficult to solve (van Hemert, J), In Evolutionary Computation, volume 14, 2006. [bibtex] [url]
[41]	Improving Graph Colouring Algorithms and Heuristics Using a Novel Representation (I Juhos and van Hemert, J), In Evol Comput in Comb Optim (J Gottlieb, G Raidl, eds.), Springer, volume 3906, 2006. [bibtex] [pdf]
[40]	Increasing the efficiency of graph colouring algorithms with a representation based on vector operations (I Juhos and van Hemert, J), In Journal of Software, volume 1, 2006. [bibtex] [pdf]
2005
[39]	Evolutionary Transitions as a Metaphor for Evolutionary Optimization (A Defaweux, T Lenaerts and van Hemert, J), In Advances in Artificial Life (M Capcarrere, AA Freitas, PJ Bentley, CG Johnson, J Timmis, eds.), Springer, volume 3630, 2005. [bibtex] [pdf]
[38]	Transition Models as an incremental approach for problem solving in Evolutionary Algorithms (A Defaweux, T Lenaerts, van Hemert, J and J Parent), In Genetic and Evolutionary Computation (H-G Beyer et al., ed.), ACM Press, volume 7, 2005. [bibtex] [pdf]
[37]	Complexity Transitions in Evolutionary Algorithms: Evaluating the impact of the initial population (A Defaweux, T Lenaerts and van Hemert, J), In Congress on Evolutionary Computation, IEEE Press, volume 7, 2005. [bibtex] [pdf]
[36]	Genetic Programming, Proceedings of the 8th European Conference, (M Keijzer, A Tettamanzi, P Collet, J van Hemert, eds.), Springer, volume 3447, 2005. [bibtex] [html]
[35]	Property analysis of symmetric travelling salesman problem instances acquired through evolution (van Hemert, J), In Evol Comput in Comb Optim (G Raidl, J Gottlieb, eds.), Springer, volume 5, 2005. [bibtex] [pdf]
[34]	Heuristic Colour Assignment Strategies for Merge Models in Graph Colouring (I Juhos, A Tóth and van Hemert, J), In Evol Comput in Comb Optim (G Raidl, J Gottlieb, eds.), Springer, volume 3448, 2005. [bibtex] [pdf]
2004
[33]	Robust parameter settings for variation operators by measuring the resampling ratio (van Hemert, J and T Bäck), In Journal of Heuristics, volume 10, 2004. [bibtex]
[32]	Dynamic Routing Problems with Fruitful Regions: Models and Evolutionary Computation (van Hemert, J and la Poutré, JA), In Parallel Problem Solving from Nature (Xin Yao, Edmund Burke, Jose A Lozano, Jim Smith, Juan J Merelo-Guervós, John A Bullinaria, Jonathan Rowe, Peter Ti\vno Ata Kabán, Hans-Paul Schwefel, eds.), Springer, volume 3242, 2004. [bibtex] [pdf]
[31]	A Study into Ant Colony Optimization, Evolutionary Computation and Constraint Programming on Binary Constraint Satisfaction Problems (van Hemert, J and C Solnon), In Evol Comput in Comb Optim (J Gottlieb, G Raidl, eds.), Springer, volume 3004, 2004. [bibtex] [pdf]
[30]	Phase transition properties of clustered travelling salesman problem instances generated with evolutionary computation (van Hemert, J and NB Urquhart), In Parallel Problem Solving from Nature (Xin Yao, Edmund Burke, Jose A Lozano, Jim Smith, Juan J Merelo-Guervós, John A Bullinaria, Jonathan Rowe, Peter Ti\vno Ata Kabán, Hans-Paul Schwefel, eds.), Springer, volume 3242, 2004. [bibtex] [pdf]
[29]	Binary Merge Model Representation of the Graph Colouring Problem (I Juhos, A Tóth and van Hemert, J), In Evol Comput in Comb Optim (J Gottlieb, G Raidl, eds.), Springer, 2004. [bibtex] [pdf]
2003
[28]	Comparing Evolutionary Algorithms on Binary Constraint Satisfaction Problems (BGW Craenen, AE Eiben and van Hemert, J), In IEEE Trans Evol Comput, volume 7, 2003. [bibtex] [pdf]
[27]	Evolving binary constraint satisfaction problem instances that are difficult to solve (van Hemert, J), In IEEE Trans Evol Comput, IEEE Press, volume 4, 2003. [bibtex] [pdf]
[26]	A new permutation model for solving the graph k-coloring problem (I Juhos, A Tóth, M Tezuka, P Tann and van Hemert, J), In Kalmàr Workshop on Logic and Computer Science, 2003. [bibtex] [pdf]
2002
[25]	Measuring the Searched Space to Guide Efficiency: The Principle and Evidence on Constraint Satisfaction (van Hemert, J and T Bäck), In Parallel Problem Solving from Nature (JJ Merelo, A Panagiotis, H-G Beyer, José-Luis Fernández-Villacañas, Hans-Paul Schwefel, eds.), Springer, volume 2439, 2002. [bibtex]
[24]	Comparing Classical Methods for Solving Binary Constraint Satisfaction Problems with State of the Art Evolutionary Computation (van Hemert, J), In Applications of Evolutionary Computing (S Cagnoni, J Gottlieb, E Hart, M Middendorf, G Raidl, eds.), Springer, volume 5, 2002. [bibtex] [pdf]
[23]	Application of Evolutionary Computation to Constraint Satisfaction and Data Mining (van Hemert, J), PhD thesis, Leiden University, 2002. [bibtex]
[22]	Use of Evolutionary Algorithms for Telescope Scheduling (R Grim, MLM Jansen, A Baan, van Hemert, J and H de Wolf), In Integrated Modeling of Telescopes (Torben Anderson, ed.), The International Society for Optical Engineering (SPIE), volume 4757, 2002. [bibtex] [pdf]
2001
[21]	Adaptive Genetic Programming Applied to New and Existing Simple Regression Problems (J Eggermont and van Hemert, J), In Genetic Programming (J Miller, M Tomassini, PL Lanzi, C Ryan, AGB Tettamanzi, WB Langdon, eds.), Springer, 2001. [bibtex] [pdf]
[20]	Evolutionary Computation in Constraint Satisfaction and Machine Learning — An abstract of my PhD. (van Hemert, J), In Proceedings of the Brussels Evolutionary Algorithms Day (BEAD-2001) (Anne Defaweux, Bernard Manderick, Tom Lenearts, Johan Parent, Piet van Remortel, eds.), Vrije Universiteit Brussel (VUB), 2001. [bibtex] [pdf]
[19]	A "Futurist" approach to dynamic environments (van Hemert, J, Van Hoyweghen, C, E Lukschandl and K Verbeeck), In Genetic and Evolutionary Computation (J Branke, Th. Bäck, eds.), Morgan Kaufmann Publishers, volume 3, 2001. [bibtex] [pdf]
[18]	An Engineering Approach to Evolutionary Art (van Hemert, J and MLM Jansen), In Genetic and Evolutionary Computation (Lee Spector, Erik D Goodman, Annie Wu, WB Langdon, Hans-Michael Voigt, Mitsuo Gen, Sandip Sen, Marco Dorigo, Shahram Pezeshk, Max H Garzon, Edmund Burke, eds.), Morgan Kaufmann Publishers, volume 3, 2001. [bibtex] [pdf]
[17]	An Engineering Approach to Evolutionary Art (van Hemert, J and MLM Jansen), Technical report TR-01-01, Leiden University, 2001. [bibtex] [pdf]
[16]	A "Futurist" approach to dynamic environments (van Hemert, J, Van Hoyweghen, C, E Lukschandl and K Verbeeck), Technical report TR-01-02, Leiden University, 2001. [bibtex] [pdf]
2000
[15]	Stepwise Adaptation of Weights for Symbolic Regression with Genetic Programming (J Eggermont and van Hemert, J), In Proceedings of the Twelfth Belgium/Netherlands Conference on Artificial Intelligence (van den Bosch, A, H Weigand, eds.), 2000. [bibtex] [pdf]
[14]	Constraint Satisfaction Problems and Evolutionary Algorithms: A Reality Check (van Hemert, J), In Artificial Intelligence (van den Bosch, A, H Weigand, eds.), volume 12, 2000. [bibtex] [pdf]
[13]	De Creatieve Computer (The Creative Computer) (van Hemert, J), In AIgg Kennisgeving, Artificiële Intelligentie gebruikers groep, volume 13, 2000. [bibtex] [pdf]
1999
[12]	Population dynamics and emerging features in AEGIS (AE Eiben, D Elia and van Hemert, J), In Proceedings of the Genetic and Evolutionary Computation Conference (W Banzhaf, J Daida, AE Eiben, MH Garzon, V Honavar, M Jakiela, RE Smith, eds.), Morgan Kaufmann Publishers, 1999. [bibtex] [pdf]
[11]	Adapting the Fitness Function in GP for Data Mining (J Eggermont, AE Eiben and van Hemert, J), In Genetic Programming (R Poli, P Nordin, WB Langdon, TC Fogarty, eds.), Springer, 1999. [bibtex]
[10]	A comparison of genetic programming variants for data classification (J Eggermont, AE Eiben and van Hemert, J), In Advances in Intelligent Data Analysis (DJ Hand, JN Kok, MR Berthold, eds.), Springer, 1999. [bibtex]
[9]	Comparing genetic programming variants for data classification (J Eggermont, AE Eiben and van Hemert, J), In Proceedings of the Eleventh Belgium/Netherlands Conference on Artificial Intelligence (E Postma, M Gyssens, eds.), 1999. [bibtex]
[8]	SAW-ing EAs: adapting the fitness function for solving constrained problems (AE Eiben and van Hemert, J), Chapter in New ideas in optimization (D Corne, M Dorigo, F Glover, eds.), McGraw-Hill, London, 1999. [bibtex] [pdf]
[7]	Mondriaan Art by Evolution (van Hemert, J and AE Eiben), In Proceedings of the Eleventh Belgium/Netherlands Conference on Artificial Intelligence (E Postma, M Gyssens, eds.), 1999. [bibtex]
1998
[6]	The Effect of Communication in Artificial Life Systems (AE Eiben, D Elia and van Hemert, J), Technical report TR-98-12, Leiden University, 1998. [bibtex]
[5]	Graph Coloring with Adaptive Evolutionary Algorithms (AE Eiben, van der Hauw, JK and van Hemert, J), In Journal of Heuristics, Kluwer Academic Publishers, volume 4, 1998. [bibtex]
[4]	Solving Binary Constraint Satisfaction Problems using Evolutionary Algorithms with an Adaptive Fitness Function (AE Eiben, van Hemert, J, E Marchiori and AG Steenbeek), In Parallel Problem Solving from Nature (AE Eiben, Th. Bäck, M Schoenauer, H-P Schwefel, eds.), Springer, 1998. [bibtex]
[3]	Extended abstract: Solving Binary Constraint Satisfaction Problems using Evolutionary Algorithms with an Adaptive Fitness Function (AE Eiben, van Hemert, J, E Marchiori and AG Steenbeek), In Proceedings of the Xth Netherlands/Belgium Conference on Artificial Intelligence (NAIC'98) (la Poutré, JA, van den Herik, J, eds.), 1998. [bibtex]
[2]	Applying Adaptive Evolutionary Algorithms to Hard Problems (van Hemert, J), Master's thesis, Leiden University, 1998. [bibtex]
1997
[1]	Comparison of the SAW-ing Evolutionary Algorithm and the Grouping Genetic Algorithm for Graph Coloring (van Hemert, J and AE Eiben), Technical report TR-97-14, Leiden University, 1997. [bibtex]