Bibliography
Wentzel, A., Luciani, T., van Dijk, L., Taku, N., Elgohari, B., Mohamed, A.S.R., Canahuate, G., Fuller, C.D., Vock, D., Marai, G.E., Precision association of lymphatic disease spread with radiation-associated toxicity in oropharyngeal squamous carcinomas, Radiotherapy and Oncology, vol 161, Elsevier, pp. 152–158, June 11, 2021
Luciani, T., Wentzel,A., Elgohari, B., Elhalawani, H., Mohamed, A.S., Canahuate, G., Vock, D.M., Fuller, C.D., Marai, G.E., A Spatial Neighborhood Methodology for Computing and Analyzing Lymph Node Carcinoma Similarity in Precision Medicine, Journal of Biomedical Informatics, vol 5, March 1, 2020
Wentzel, A., Elgohari, B., Hanula, P., Luciani, T., Elhalawani, H., Cardenas, C.E., Edwards, B., Mohamed, A.S., Canahuate, G., Vock, D., Fuller, C.D., Marai, G.E., Cohort-Based Spatial Similarity Can Predict Radiotherapy Dose Distribution, ASTRO Annual Meeting of the American Society for Radiation Oncology, Chicago, IL, pp. 1-2, September 15, 2019
Luciani,T., Elgohari, B., Elhalawani, H., Mohamed, A.S., Canahuate, G., Vock, D., Fuller, C.D., Marai, G.E., Correlating Toxicity Outcomes with Spatial Patterns of Lymph Node Metastasis for Oropharyngeal Cancer Patients, ASTRO Annual Meeting of the American Society for Radiation Oncology, Chicago, IL, September 15, 2019
Wentzel, A., Hanula, P., Luciani, T,, Elgohary, B., Canahuate. G., Vock, D., Fuller, C.D., Marai, G.E., Cohort-based T-SSIM Visual Computing for Radiation Therapy Prediction and Exploration, IEEE Transactions on Visualization and Computer Graphics, IEEE Vis 2019, pp. 1-11, August 22, 2019
Luciani, T., Burks, A., Sugiyama, C., Komperda, J., Marai, G.E., Details-First, Show Context, Overview Last: Supporting Exploration of Viscous Fingers in Large-Scale Ensemble Simulations, IEEE Transactions on Visualization and Computer Graphics (Proceedings of the Visual Analytics Science and Technology / Information Visualization / Scientific Visualization 2018), vol 25, no 1, pp. 1-11, January 1, 2019
Ma, C., Luciani, T., Terebus, A., Liang, J., Marai, G.E., PRODIGEN: visualizing the probability landscape of stochastic gene regulatory networks in state and time space, 6th Symposium on Biological Data Visualization, Baltimore, MD, BMC Bioinformatics 18(2):24, 2017, pp. 1-13, October 24, 2017
Castor, J., Borowicz, J., Burks, A., Thomas, M., Luciani, T., Marai, G.E., MC2 - Mining Factory Pollution Data through a Spatial-Nonspatial Flow Approach, IEEE Visual Analytics Science and Technology (VAST) Challenge 2017 Proceedings, Phoenix, AZ, pp. 1-2, October 1, 2017
Mahida, V., Kupiec, B., Burks, A., Luciani, T., Marai, G.E., MC3 - A Web-Based Interactive Image Explorer for Temporal Analysis of Satellite Images, IEEE Visual Analytics Science and Technology (VAST) Challenge 2017 Proceedings, Phoenix, AZ, pp. 1-2, October 1, 2017
Ma, C., Burks, A., Luciani, T.Terebus, A., Liang, J., Marai, G.E., Visualizing ensemble time-evolving probability landscapes of stochastic networks, ISMB/ECCB 2017, BioVis'17, Phoenix, AZ, pp. 1-2, September 29, 2017
Monfort, M., Luciani, T., Komperda, J., Ziebart, B., Mashayek, F., Marai, G.E., A Deep Learning Approach to Identifying Shock Locations in Turbulent Combustion Tensor Fields, Modelling, Processing and Visualization of Anisotropy, Mathematics and Visualization Series, Springer, Cham, pp. pp 375-392, I. Hotz, T. Schultz, E. Ozarslan (eds), July 8, 2017
Marai, G. E., Luciani, T., Maries, A., Yilmaz, S. L., Nik, M. B., Visual Descriptors for Dense Tensor Fields in Computational Turbulent Combustion: A Case Study, Journal of Imaging Science and Technology, vol 60, no 1, January 1, 2016
Maries, A., Luciani, T., Pisciuneri, P.H., Nik, M.B., Yilmaz, S.L., Givi, P,, Marai, G.E., Clustering Method for Identifying Regions of Interest in Turbulent Combustion Tensor Fields, Visualization and Processing of Higher Order Descriptors for Multi-Valued Data, Springer, pp. 1-18, Ingrid Hotz, Thomas Schultz, February 1, 2015
Luciani, T., Wenskovitch, J., Chen, K., Koes, D., Travers, T., Marai, G.E., FixingTIM: Interactive Exploration of Sequence and Structural Data to Identify Functional Mutations in Protein Families, BMC Proceedings 2014, vol 8, 8(Suppl 2):S3, pp. 1-0, August 1, 2014
Luciani, T., Cherinka, B., Oliphant, D., Myers, S., Wood-Vasey, W. M., Labrinidis, A., Marai, G. E., Large-Scale Overlays and Trends: Visually Mining, Panning and Zooming the Observable Universe, IEEE Transactions on Visualization and Computer Graphics, no 7, pp. 1-14, July 1, 2014
Luciani, T., Maries, A., Nik, M., Yilmaz,S. L., Marai, G. E., Visualization of Tensor Quantities Used in Computational Turbulent Combustion, 66th Annual Meeting of the APS Division of Fluid Dynamics, pp. 1-1, November 24, 2013
Wenskovitch, J., Luciani, T., Chen, K., Marai. G. E., Fixing TIM: Identifying Functional Mutations in Protein Families through the Interactive Exploration of Sequence and Structural Data, IEEE BioVis 2013 Data Competition, pp. 1-4, October 13, 2013
Luciani, T., Maries, A., Tran, H., Nik, M., Yilmaz, S. L., Marai, G. E., A Novel Method for Tracking Tensor-based Regions of Interest in Large-Scale, Spatially-Dense Turbulent Combustion Data, IEEE Visualization 2012 Poster Abstracts with System Demonstration, pp. 1-2, October 1, 2012
Neophytou, P., Gheorghiu, R., Hachey, R., Luciani, T., Sun, B., Labrinidis, A., Marai, G. E., Chrysanthis, P. K., AstroShelf: Understanding the Universe Through Scalable Navigation of a Galaxy of Annotations, SIGMOD 2012 System Demonstrations Compendium, Scottsdale, AZ, pp. 1-4, May 20, 2012
Luciani, T., Cherinka, B., Myers, S., Sun, B., Wood-Vassey, W. M., Labrinidis, A., Marai, G. E., Panning and Zooming the Observable Universe with Prefix-Matching Indices and Pixel-Based Overlays, IEEE Visualization 2012, Large-Scale Data Analysis and Visualization Symposium, Seattle, WA, pp. 1-8, April 14, 2012
Luciani, T., Hachey, R., Oliphant, D. Q., Cherinka, B. A., Marai, G. E., Pixel-based Overlays for Navigating a Galaxy of Observations, IEEE Visualization 2011, Large-Scale Data Analysis and Visualization Symposium, Poster Abstracts with System Demonstration, Providence, RI, pp. 1-2, October 23, 2011
