15 peer-reviewed publications (8 journal articles, 5 conference papers, 2 book chapters), 3 in IEEE TVCG. Listed below in the same order as on the CV. Posters, abstracts, and contest entries are not counted here.
J8. A. Wentzel, T. Luciani, L. van Dijk, N. Taku, B. Elgohari, A.S.R. Mohamed, G. Canahuate, C.D. Fuller, D. Vock, G.E. Marai. “Precision association of lymphatic disease spread with radiation-associated toxicity in oropharyngeal squamous carcinomas”, Radiotherapy and Oncology, vol. 161, pp. 152–158, Elsevier, June 2021. doi:10.1016/j.radonc.2021.06.016 (link)
J7. T. Luciani, A. Wentzel, B. Elgohari, H. Elhalawani, A.S. Mohamed, G. Canahuate, D.M. Vock, C.D. Fuller, G.E. Marai. “A Spatial Neighborhood Methodology for Computing and Analyzing Lymph Node Carcinoma Similarity in Precision Medicine”, Journal of Biomedical Informatics: X, vol. 5, art. 100067, Mar. 2020. doi:10.1016/j.yjbinx.2020.100067 (link)
J6. A. Wentzel, P. Hanula, T. Luciani, B. Elgohari, H. Elhalawani, G. Canahuate, D. Vock, C.D. Fuller, G.E. Marai. “Cohort-based T-SSIM Visual Computing for Radiation Therapy Prediction and Exploration”, IEEE Transactions on Visualization and Computer Graphics, vol. 26, no. 1, pp. 949–959, 2020. (link)
J5. T. Luciani, A. Burks, C. Sugiyama, J. Komperda, G.E. Marai. “Details-First, Show Context, Overview Last: Supporting Exploration of Viscous Fingers in Large-Scale Ensemble Simulations”, IEEE Transactions on Visualization and Computer Graphics, vol. 25, no. 01, pp. 1–11, Jan. 2019. (link)
B2. M. Monfort, T. Luciani, J. Komperda, B. Ziebart, F. Mashayek, G.E. Marai. “Deep learning features of interest from turbulent combustion tensor fields”, in Modeling, Analysis, and Visualization of Anisotropy, 2017. (PDF)
J3. G.E. Marai, T. Luciani, A. Maries, S.L. Yilmaz, M.B. Nik. “Visual Descriptors for Dense Tensor Fields in Computational Turbulent Combustion: A Case Study”, Journal of Imaging Science and Technology, vol. 60, no. 1, Jan. 1, 2016. (link)
B1. A. Maries, T. Luciani, P.H. Pisciuneri, M.B. Nik, S.L. Yilmaz, P. Givi, G.E. Marai. “A Clustering Method for Identifying Regions of Interest in Turbulent Combustion Tensor Fields”, in Visualization and Processing of Higher Order Descriptors for Multi-Valued Data, eds. Ingrid Hotz and Thomas Schultz, Springer, pp. 1–18, 2015. (link)
J4. C. Ma, T. Luciani, A. Terebus, J. Liang, G.E. Marai. “PRODIGEN: Visualizing the Probability Landscape of Stochastic Gene Regulatory Networks in State and Time Space.” BMC Bioinformatics, Feb. 2017. (also presented at IEEE BioVis 2016) (link)
C5. C. Ma, T. Luciani, A. Terebus, J. Liang, G.E. Marai. “PRODIGEN: Visualizing the Probability Landscape of Stochastic Gene Regulatory Networks in State and Time Space,” pp. 1–13, IEEE BioVis 2016. (link)
J2. T. Luciani, J. Wenskovitch, K. Chen, D. Koes, T. Travers, G.E. Marai. “FixingTIM: Interactive Exploration of Sequence and Structural Data to Identify Functional Mutations in Protein Families”, BMC Bioinformatics, Aug. 2014. (link)
C3. J. Wenskovitch, T. Luciani, K. Chen, G.E. Marai. “FixingTIM: Identifying Functional Mutations in Protein Families through the Interactive Exploration of Sequence and Structural Data,” IEEE BioVis 2013 Data Competition, pp. 1–4, Oct. 2013. Data Contest Visualization Award. (Invited to J2.) (PDF)
J1. T. Luciani, B. Cherinka, D. Oliphant, S. Myers, W.M. Wood-Vasey, A. Labrinidis, G.E. Marai. “Large-Scale Overlays and Trends: Visually Mining, Panning and Zooming the Observable Universe,” IEEE Transactions on Visualization and Computer Graphics, pp. 1–12, July 2014. (link)
C2. T. Luciani, S. Myers, B. Sun, B. Cherinka, W.M. Wood-Vasey, A. Labrinidis, G.E. Marai. “Panning and Zooming the Observable Universe with Prefix-Matching Indices and Pixel-Based Overlays,” IEEE Large-scale Data Analysis and Visualization Symposium, pp. 1–8, Oct. 2012. Best-Paper Runner-Up Award. (expanded into J1.) (link)
C1. P. Neophytou, R. Gheorghiu, R. Hachey, T. Luciani, B. Sun, A. Labrinidis, G.E. Marai, P.K. Chrysanthis. “AstroShelf: Understanding the Universe through Scalable Navigation of a Galaxy of Annotations,” SIGMOD 2012 Demonstrations Compendium. (link)
C4. D. McNamara, J. Tapia, C. Ma, T. Luciani, A. Burks, J. Trelles, G.E. Marai. “Spatial Analysis of Employee Safety Using Organizable Event Quiltmaps.” In Proceedings of the IEEE VIS 2016 Workshop on Temporal and Sequential Event Analysis, Baltimore, MD, Oct. 2016. (PDF)