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M. Elshehaly, R. Jianu, A. Slingsby, G. Andrienko, and N. Andrienko.
Designing for Collaboration: Visualization to Enable Human-LLM Analytical Partnership.
(2025) IEEE Computer Graphics and Applications, doi: 10.1109/MCG.2025.3583451
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M. Elshehaly, M. Reljan-Delany, J. Dykes, A. Slingsby, J. Wood,
and S. Spiegel
Visualising Lived Experience: Learning from a Master Narrative Framing
BELIV 2024. Florida, USA.
[ PDF ] [ Presentation video TBC ].
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M. Elshehaly, L. Eddy, and M. Mon-William
CLEVER: A Framework for Connecting Lived Experiences with Visualisation of Electronic Records.
IEEE VIS 2023, Melbourne, Australia.
[ PDF ] [ Presentation video TBC ].
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M. Elshehaly, K. Sohal, T. Lawton, M. Bryant, and M. Mon-William
Creative Visualisation Opportunities Workshops: A Case Study in Population Health Management.
IEEE Evaluation and Beyond - Methodological Approaches for Visualization (BELIV), Oklahoma City, USA.
[ PDF ] [ Co-design Demo ] [ Presentation video ].
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K. Sohal, D. Mason, J. Birkinshaw, J. West, RRC McEachan, M Elshehaly M, D. Cooper, R. Shore, M. McCooe, T. Lawton, M. Mon-Williams, T. Sheldon, C. Bates, M. Wood, J. Wright.
Connected Bradford: a Whole System Data Linkage Accelerator
Wellcome Open Res. 2022 Nov 7;7:26. doi: 10.12688/wellcomeopenres.17526.2. PMID: 36466951; PMCID: PMC9682213.
[ FUll paper ].
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M. Elshehaly, R.Randell, M. Brehmer, L.McVey, N.Alvarado, C.P.Gale and R.A.Ruddle
QualDash:Adaptable Generation of Visualisation Dashboards for Healthcare Quality Improvement. 2020.
IEEE Transactions on Visualisation and Computer Graphics (TVCG).
[ PDF ] [ Demo ].
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M. Elshehaly, N.Alvarado, L. McVey, R. Randell, M. Mamas and R.A.Ruddle.
From Taxonomy to Requirements: A Task Space Partitioning Approach.
2018 IEEE Evaluation and Beyond - Methodological Approaches for Visualization (BELIV), Berlin, Germany, 2018, pp. 19-27, doi: 10.1109/BELIV.2018.8634027.
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R. Spletchna, A. Diehl, M. Elshehaly, C.Delrieux, D. Gracanin and Kresimir Matkovic
Bus Lines Explorer: Interactive Exploration of Public Transportation Data. 2016.
In Proceedings of the 9th International Symposium on Visual Information Communication and Interaction (VINCI '16). , ACM, New York, NY, USA, 30-34. DOI: http://dx.doi.org/10.1145/2968220.2968238
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M. Elshehaly, G. Szeto, Z. Pan, and J. Chen
ImmunoExplorer: A Web-based Multivariate Visualization Tool for Exploratory
Analysis of Immunotherapy.
Proceedings of the International Conference on Virtual Reality and Visualization, September 2016. HamgZhou, China.
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L. Cibulski, D. Gračanin, A. Diehl, R. Splechtna, M. Elshehaly, C. Delrieux, and K. Matkovic
ITEA—interactive trajectories and events analysis: exploring sequences of spatio-temporal events in movement data
The Visual Computer (2016) 32: 847. doi:10.1007/s00371-016-1255-7.
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J. Wang, M. Elshehaly, Y. Cao.
Cylindrical Acceleration Structures for Large Hexahedral Volume
Visualization.
Large Data Analysis and Visualization (LDAV), IEEE 5th Symposium on, pp 25-31, 2015.
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M. Elshehaly, D. Gračanin, M. Gad, H. Elmongui, and K. Matkovi´c.
Interactive Fusion and TrackingFor Multi-Modal Spatial Data Visualization.
Computer Graphics Forum (2015), http://dx.doi.org/10.1111/cgf.12637. – DOI 10.1111/cgf.12637 (Proc. EuroVis 2015).
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R. Splechtna, M. Elshehaly, D. Gračanin, M. Duras, K. B¨uhler, and K. Matkovi´c.
Interactive interaction plot, supporting parameter space exploration in a design phase.
The Visual Computer. , 2015.
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