G. Elisabeta Marai

EVL Faculty
Associate Professor, Computer Science
gmarai@uic.edu

Bibliography

Trelles, J., Wentzel, A., Berrios, W., Shatkay, H., Marai, G.E., BI-LAVA: Biocuration with Hierarchical Image Labeling through Active Learning and Visual Analytics, Computer Graphics Forum 2024, pp. 1-15, September 22, 2024

Johnson, A.E., Renambot, L., Marai, G.E., Tsoupikova, D., Papka, M.E., Long, L., Plepys, D.M., Talandis, J., Brown, M.D., Leigh, J., Sandin, D.J., DeFanti, T.A., Electronic Visualization Laboratory’s 50th Anniversary Retrospective: Look to the Future, Build on the Past, Special Issue on Immersive Visualization Laboratories - Past, Present and Future, vol 33, PRESENCE: Virtual and Augmented Reality, pp. 77–127, August 1, 2024

Wentzel, A., Attia, S., Zhang, X., Canahuate, G., Fuller, C.D., Marai. G.E., DITTO: A Visual Digital Twin for Interventions and Temporal Treatment Outcomes in Head and Neck Cancer, IEEE Trans. Vis. Comp. Graphics, pp. 1-11, July 18, 2024

Wentzel, A., Levine, L., Dhariwal, V., Fatemi, Z., Bhattacharya, A., Di Eugenio, B., Rojecki, A., Zheleva, E., Marai,G.E., MOTIV: Visual Exploration of Moral Framing in Social Media, Computer Graphics Forum 2024, pp. 1-14, March 15, 2024

Mantovani, M., Wentzel, A., Trelles Trabucco, J., Michaelis, J., Marai, G.E., Kiviat Defense: An Empirical Evaluation of Visual Encoding Effectiveness in Multivariate Data Similarity Detection, Journal of Imaging Science and Technology, Society for Imaging Science and Technology, no 6040, Electronic Imaging 2024, Burlingame, CA, pp. 1-13, January 22, 2024

Trelles Trabucco, J., Floricel, C., Arighi, C., Shatkay, H., Raciti, D., Ringwald, M., Marai, G.E., MouseScholar: Evaluating an Image+Text Search System for Biocuration, 2023 IEEE International Conference on Bioinformatics and Biomedicine (IEEE BIBM 2023), Istanbul, Turkey, December 5, 2023

Floricel, C., Wentzel, A., Mohamed, A., Fuller, C.D., Canahuate, G., Marai, G.E., Roses Have Thorns: Understanding the Downside of Oncological Care Delivery Through Visual Analytics and Sequential Rule Mining, IEEE Trans. Vis. Comp. Graphics, VIS 2023, pp. 1-11, October 22, 2023

Wentzel, A., Mohamed, A.S.R., Naser, M.A., Van Dijk, L.V., Hutcheson, K., Moreno, A.M., Fuller, C.D., Canahuate, G., Marai, G.E., Multi-Organ Spatial Stratification of 3-D Dose Distributions Improves Risk Prediction of Long-Term Self-Reported Severe Symptoms in Oropharyngeal Cancer Patients Receiving Radiotherapy: Development of a Pre-Treatment Decision Support Tool., Frontiers in Oncology, July 17, 2023

Trelles Trabucco, J., Arighi, C., Shatkay, H., Marai, G. E., Enhancing biomedical search interfaces with images, Bioinformatics Advances, vol 3, no 1, pp. vbad095, July 17, 2023

Canahuate, G., Wentzel, A, Mohamed, A.S.R., van Dijk, L.V., Vock, D.M., Elgohari, B., Elhalawani, H., Fuller, C.D, Marai, G.E., Spatially-aware clustering improves AJCC-8 risk stratification performance in oropharyngeal carcinomas, Oral Oncology, vol 144, www.elsevier.com/locate/oraloncology, Elsevier Ltd., June 28, 2023

Wentzel, A., Floricel, C., Canahuate, G., Naser, M., Mohamed, A., Fuller, C.D., Van Dijk, L., Marai, G.E., DASS Good: Explainable Data Mining of Oncology Imaging and Toxicity Data, Computer Graphics Forum 2023 / EuroVis 2023, vol 42, no 3, pp. 1-13, June 1, 2023

Nipu,N., Floricel, C., Naghashzadeh, N., Paoli, R., Marai, G.E., Visual Analysis and Detection of Contrails in Aircraft Engine Simulations, IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS, vol 29, no 1, pp. 798-808, January 1, 2023

Politowicz, A. L., Burks, A. T., Dong, Y., Htwe, Y. M., Dudek, S. M., Marai, G. E., Belvitch, P., Alveolus Analysis: A Web Browser-based Tool to Analyze Lung Intravital Microscopy, BMC Pulmonary Medicine, November 30, 2022

van Dijk, LV, Mohamed, ASR, Ahmed, S, Nipu, N, Marai, GE, Wahid, K, Sijtsema, NM, Gunn, B, Garden, AS, Moreno, A, Hope, AJ, Langendijk, JA, Fuller, CD, Head and Neck Cancer Predictive Risk Estimator to Determine Control and Therapeutic Outcomes of Radiotherapy (HNCPREDICTOR), European Journal of Cancer, Elsevier, Science Direct, October 21, 2022

Nipu, M.N., Floricel, C., Naghashzadeh, N., Paoli, R., Marai, G.E., Visual Analysis and Detection of Contrails in Aircraft Engine Simulations, IEEE VIS 2022, Oklahoma City, OK, October 16, 2022

Srabanti, S., Tran,M., Achim, V., Fuller, D., Canahuate, G., Miranda, F., Marai, G.E., A Tale of Two Centers: Visual Exploration of Health Disparities in Cancer Care, 2022 IEEE 15th Pacific Visualization Symposium (PacificVis), IEEE Xplore, April 11, 2022

Floricel, C., Nipu, N., Wentzel, A., Biggs, M., Canahuate, G., Mohamed, A.S.R., van Dijk, L., Fuller, C.D., Marai, G.E., THALIS: Human-Machine Analysis of Longitudinal Symptoms in Cancer Therapy, January 1, 2022

Trelles Trabucco, J., Li, P., Arighi, C., Raciti, D., Shatkay, H., Marai, G.E., ANIMO: Annotation of Biomed Image Modalities, 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), pp. 1069-1076, December 9, 2021

Srabanti, S., Marai, G.E., Miranda, F., COVID-19 EnsembleVis: Visual Analysis of County-level Ensemble Forecast Models, Visual Analytics in Health Care 2021, December 1, 2021

Nipu, N., Floricel, C., Naghashzadeh, N., Paoli, R., Marai, G.E., Parameter Analysis and Contrail Detection of Aircraft Engine Simulations, Poster Program IEEE 11th Symposium on Large Data Analysis and Visualization (LDAV), 2021, New Orleans, Louisiana, October 25, 2021

McKearnan, S., Vock, D., Marai, G.E., Canahuate, G., Fuller, C.D., Wolfson, J., Feature Selection for Support Vector Regression Using a Genetic Algorithm, Biostatistics 2021, pp. 1–14, September 8, 2021

Li, P., Zhang, G., Jiang, X., Trelles Trabucco, J., Raciti, D., Smith, C., Ringwald, M., Marai, G.E., Arighi, C., Shatkay, H., Utilizing Image and Caption Information for Biomedical Document Classification, Bioinformatics, ISMB/ECCB 2021, vol 37, Oxford University Press, pp. i468–i476, July 25, 2021

Wang, Y., Canahuate, G., Van Dijk, L., Mohamed, A.S.R., Fuller, C.D., Zhang, X., Marai, G.E., Predicting late symptoms of head and neck cancer treatment using LSTM and patient reported outcomes, 25th International Database Engineering & Applications Symposium (IDEAS 2021), Montreal, QC, Canada, pp. 273–279, July 14, 2021

Patel, H., Vock, D., Marai, G.E., Fuller, C.D., Mohamed, A.S.R., Canahuate, G., Oropharyngeal cancer patient stratification using random forest based‑learning over high‑dimensional radiomic features, Scientific Reports 2021, vol 11, July 7, 2021

Tardini, E., Zhang, X., Canahuate, G., Wentzel, A., Mohamed, A.S.R., Van Dijk, L., Fuller, C.D., Marai, G.E., A digital twin dyad with deep Q-learning in head and neck cancer treatment, Fourth ISC Workshop on HPC Applications in Precision Medicine, June 18, 2021

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

Biggs,M., Floricel, C., Van Dijk, L., Mohamed, A.S.R., Fuller, D., Marai G.E., Zhang, X., Canahuate, G., Identifying Symptom Clusters Through Association Rule Mining, International Conference on Artificial Intelligence in Medicine (AIME 2021), vol 12721, Springer, Cham, pp. 491-496, June 8, 2021

Trelles Trabucco, J, Li, P,, Arighi, C., Shatkay, H., Marai, G.E., Modality-Classification of Microscopy Images Using Shallow Variants of Deep Networks, 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), December 16, 2020

Marai, G.E., Moller, T., The Fabric of Visualization, Foundations of Data Visualization, Mathematics and Visualization Series, Springer 2020, Chen, M.|Hauser, H.|Rheingans, P.|Scheuermann, G. (Eds.), December 1, 2020

Floricel, C., Wentzel, A., Kumar, N., Nipu, N., Canahuate, G., Dijk, L.V., Marai, G.E., Visualizing Symptom Development During Head and Neck Cancer Treatment, IEEE VIS 2020 Poster, October 25, 2020

Wentzel, A., Canahuate, G., van Dijk, L., Mohamed, A., Fuller, C.D., Marai, G.E., Explainable Spatial Clustering: Leveraging Spatial Data in Radiation Oncology, IEEE VIS 2020 Short Papers, Visualizing Machine Learning, October 25, 2020

Wentzel,A., Hanula, P., Van Dijk, L.V., Mohamed, A.S., Elgohari, B., Cardenas, C., Fuller, C.D., Vock, D., Canahuate, G., Marai, G.E., Precision toxicity correlates of tumor spatial proximity to organs at risk in cancer patients receiving intensity-modulated radiotherapy, Radiotherapy and Oncology, vol 148, Elsevier, pp. 245-251, July 1, 2020

Liqid, Case Study: UIC Utilizes Liqid Composable Infrastructure for Uneven Applications in Scientific Research, Liqid Case Study, Chicago, IL, April 23, 2020

Tosado, J., Zdilar, L., Elhalawani, H., Elgohari, B., Vock, D., Marai, G.E., Fuller, C.DMohamed, A.S., Canahuate, G., Clustering of Largely Right-Censored Oropharyngeal Head and Neck Cancer Patients for Discriminative Groupings to Improve Outcome Prediction, Scientific Reports, March 2, 2020

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

Christopherson, Ghosh, Mohamed, Kamal Jomaa, Gunn, Marai, Canahuate, El Halawani, Vock, Kalpathy-Cramer,, Dale, Messer, Garden, Frank, Lewin, Lai, Morrison, Phan, Gross, Ferrarotto, Weber, Rosenthal, Hutcheson, Fuller, Chronic Radiation-Associated Dysphagia in Oropharyngeal Cancer Survivors: Towards Age-Adjusted Dose Constraints for Deglutitive Muscles, Clinical and Translational Radiation Oncology, vol 18, pp. 16-22, September 1, 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

Trabucco, J., Rottigni, A., Cavallo, M., Bailey, D., Patton, J., Marai, G.E., User perspective and higher cognitive task-loads influence movement and performance in immersive training environments, BMC Biomedical Engineering, pp. 1-14, August 1, 2019

Lee, B., Isaacs, K., Albers Szafir, D., Marai, G.E., Turkay, C., Tory, M., Carpendale, S., Endert, A., Broadening Intellectual Diversity in Visualization Research Papers, IEEE Computer Graphics & Applications Magazine, pp. 1-9, July 1, 2019

Marai, G.E., Pinaud, B., Buehler, K., Lex, A., Morris, J.H., 10 simple rules to create biological network figures for communication, PLOS Computational Biology, pp. 1-17, June 28, 2019

Trabucco, J., Lee, D., Derrible, S., Marai, G.E., Visual Analysis of a Smart City’s Energy Consumption, Multimodal Technologies and Interaction Special Issue on Interactive Visualizations for Sustainability, pp. 1-13, May 2, 2019

Marai, G.E., Leigh, J. , Johnson, A.E., Immersive Analytics Lessons from the Electronic Visualization Laboratory: a 25 Year Perspective, IEEE Computer Graphics and Applications, vol 39, no 3, pp. 54-66, May 1, 2019

Hanula, P., Piekutowski, K., Aguilera, J., Marai, G.E., DarkSky Halos: Use-Based Exploration of Dark Matter Formation Data in a Hybrid Immersive Virtual Environment, Virtual Environments, Frontiers in Robotics and AI, vol 6, no 11, March 4, 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

Zdilar, L., Vock, D., Marai, G.E., Fuller, C.D., Mohamed, A.S.R., Elhalawani, H., Elgohari, B., Canahuate, G., Evaluating the Effect of Right-Censored End Point Transformation for Radiomic Feature Selection of Data From Patients With Oropharyngeal Cancer, JCO Clinical Cancer Informatics, no 2, pp. 1-19, November 28, 2018

Ng,S., Dyer,B., Kalpathy-Cramer,J., Mohamed,A., Awan,M., Gunn,G., Phan,J., Zafereo,M., Debnam,J., Lewis,C., Colen,R., Kupferman,M., Guha-Thakurta,N., Canahuate,G., Marai,G., Vock,D., Hamilton,B., Holland, J., Cardenas,C., Lai,S., Rosenthal,D., Fuller,C., A Prospective In Silico Analysis of Interdisciplinary and Interobserver Spatial Variability in Post-Operative Target Delineation of High-Risk Oral Cavity Cancers: Does Physician Specialty Matter?, Clinical and Translational Radiation Oncology, no 12, Elsevier, pp. 40-46, August 2, 2018

Marai, G.E., Ma, C., Burks, A., Pellolio, F., Canahuate, G., Vock, D., Mohamed, A.S.R., Fuller, C.D., Precision Risk Analysis of Cancer Therapy with Interactive Nomograms and Survival Plots, IEEE Transactions on Visualization and Computer Graphics, vol 14, pp. 1-13, August 1, 2018

, Frontiers in Oncology 2018, vol 8, pp. 1-14, July 1, 2018

Elhalawani, H., Mohamed, A., Volpe, V., Yang, P., Campbell, S., Granberry, R., Ger, R., Fave, X., Zhang, L., Marai, GE, Vock, DM, Canahuate, GM, Macking, D., Court, L., Gunn, GB, Rao, A., Fuller, CD, A Composite Clinical/Serially-derived Parotid Gland Radiomics-based Model can be Correlated with Post-RT Xerostomia at 6 months in Oropharyngeal Cancer Patients Treated with Image-Guided Radiation Therapy, ESTRO 2018, pp. 1-3, April 20, 2018

Elhalawani, H., Mohamed, A., Volpe, V., Yang, P., Campbell, S., Granberry, R., Ger, R., Fave, X., Zhang, L., Marai, GE, Vock, DM, Canahuate, GM, Macking, D., Court, L., Gunn, GB, Rao, A., Fuller, CD, A Combination of Serial Tumor Radiomics Features and key clinical attributes can predict the response of Head & Neck Cancers Treated with Image-Guided Radiation Therapy, ESTRO 2018, pp. 1-3, April 20, 2018

AboHashem, S., Aymard, J., Berends, J., Campbell, S., Canahuate, G., Cooksey, L., Ding, Y., Elhalawani, H., Freymann, JFarahani, K., Fuller, C.D, Kanwar, A., Kalpathy-Cramer, J., Lai, S., Marai, G.E., Mohamed, A.S.R., Ng, S.P., Perni, S., Rock, C., Vock , D., White, A., Investigation of radiomics-based signature for local recurrence using primary tumor texture analysis in oropharyngeal head and neck cancer patients, Nature Scientific Reports 8: 1524, January 24, 2018

Marai, G.E., Activity-Centered Domain Characterization for Problem-Driven Scientific Visualization, IEEE Transactions on Visualization and Computer Graphics, vol 24, January 1, 2018

Elhalawani, H., Mohamed, A., Volpe, V., Yang, P., Campbell, S., Granberry, R., Ger, R., Fave, X., Zhang, L., Marai, GE, Vock, DM, Canahuate, GM, Macking, D., Court, L., Gunn, GB, Rao, A., Fuller, CD, Normal Tissue Radiomic Feature Kinetics in Oropharygeal Cancers Treated with Image-Guided Radiation Therapy: Assessment of Parotid Glands Textural Changes on Daily Non-contrast CT, RSNA 2017, Scientific Reports, November 26, 2017

Elhalawani, H., Mohamed, A., Volpe, V., Yang, P., Campbell, S., Granberry, R., Ger, R., Fave, X., Zhang, L., Marai, GE, Vock, DM, Canahuate, GM, Macking, D., Court, L., Gunn, GB, Rao, A., Fuller, CD, Predicting the HPV P16 Status of Oropharyngeal Cancer Patients Using Radiomics and an Ensemble of Random Forests, Radiology Society of North America meeting RSNA 2017, November 26, 2017

Ma, C., Pellolio, F., Llano, D., Stebbings, K.A., Kenyon, R.V., Marai, G.E., RemBrain: Exploring Dynamic Biospatial Networks with MosaicMatrices and Mirror Glyphs, Journal of Imaging Science and Technology, November 1, 2017

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

Thomas, M., Kanampallil, T., Abraham, J., Marai, G.E., Echo: A Large Display Interactive Visualization of ICU Data for Effective Care Handoffs, IEEE 8th Workshop on Visual Analytics in Health Care VAHC’17, Phoenix, AZ, pp. 1-8, October 2, 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

Kirilov, D., Lindmae, I., Burks, A., Ma, C., Marai, G.E., MC1: A Bespoke Analysis Tool for Spatio-temporal Park Traffic Data, 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

Elhalawani,H., Mohamed,A., White,A., Zafereo,J., Wong, A., Berends,J., AboHashem,S., Williams,B., Aymard, J., Kanwar,A., Perni,S., Rock,C., Cooksey,L., Campbell,S., Ding, Y., Lai,S., Marai,L., Vock,D., Canahuate,G., Freymann,J., Farahani,K., Kalpathy-Cramer,J., Fuller, D., Matched computed tomography segmentation and demographic data for oropharyngeal cancer radiomics challenges, Nature Scientific Data 4 : 170077 | DOI: 10 . 1038 /sdata. 2017 . 77, July 4, 2017

Doshi, V., Tuteja, S., Bharadwaj, K., Tantillo, D., Marrinan, T., Patton, J., Marai, G.E., StickySchedule: An Interactive Multi-user Application for Conference Scheduling on Large-scale Shared Displays, Proceedings of the 6th ACM International Symposium on Pervasive Displays (PerDis ’17), Lugano, Switzerland, June 7, 2017

Beadle, B., Canahuate, G., El-Naggar, A., Frank, S., Fuller, D., Garden, A., Gross, N., Gunn, G.B., Hutcheson, K., Lai, S., Lewin, J., Kies, M., Marai, G.E., Mohamed, A., Morrison, W., Mulcahy, C., Phan, J., Rosenthal, D., Sevak, P,, Sheu, T., Vock, D., Weber, R., Zafereo, M., Conditional Survival Analysis of Patients With Locally Advanced Laryngeal Cancer: Construction of a Dynamic Risk Model and Clinical Nomogram, Nature Scientific Reports 7, Article 43928, March 9, 2017

Kitsiou, S., Thomas, M., Marai, G.E., Maglaveras, N., Kondos, G., Arena, R., Gerber, B., Development of an innovative mHealth platform for remote physical activity monitoring and health coaching of cardiac rehabilitation patients, IEEE International Conference on Biomedical and Health Informatics, Orlando, FL, February 16, 2017

Kanwar, A., Mohamed, A., Court, L., Zhang, L., Marai, G.E, Canahuate, G., Lee, J.Perni, A., Messer, J., Pham, B., Youssef, B., Vock, D., Rao, A., Kalpathy-Cramer, J., Gunn, G., Rosenthal, D., Fuller, D., Development of a Predictive Quantitative Contrast Computed Tomography-Based Feature (Radiomics) Profile for Local Recurrence in Oropharyngeal Cancers, International Journal of Radiation Oncology, Biology, Physics 96(2):S191, vol 96, no 2, pp. S191, October 1, 2016

Bharadwaj, K., Flores, S., Rodriguez, J., Long, L., Marai, G. E., Developing a Scalable SNMP Monitor, IEEE International Parallel and Distributed Processing Symposium, Chicago, IL, pp. 1043-1047, May 23, 2016

Marai, G.E., Forbes, A., Johnson, A., Interdisciplinary Immersive Analytics at the Electronic Visualization Laboratory: Lessons Learned and Upcoming Challenges, IEEE VR 2016 Immersive Analytics Workshop, Greenville, SC, March 19, 2016

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

Hanula, P., Piekutowski, K/, Uribe, C., Almryde, K., Nishimoto, A., Aguilera, J., Marai, G.E., Cavern Halos: Exploring Spatial and Nonspatial Cosmological Data in an Immersive Virtual Environment, 2015 IEEE Scientific Visualization Conference (SciVis), Chicago, IL, pp. 87-99, October 25, 2015

Aurisano, J., Reda, K., Johnson, A., Marai, G.E., Leigh, J., BactoGeNIE: A Large-Scale Comparative Genome Visualization for Big Displays, BioVis2015, BMC Bioinformatics Journal, Dublin, Ireland, August 1, 2015

Marai, G.E., Visual Scaffolding in Integrated Spatial and Nonspatial Analysis, Proceedings of EuroVis Workshop on Visual Analytics (2015), Cagliari, Italy, E. Bertini, J. C. Roberts, May 25, 2015

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

Wenskovitch, J., Harris, L.A., Tapia, J.J, Faeder, J.R., Marai, G.E., MOSBIE: A Tool for Comparison and Analysis of Rule-Based Biochemical Models, January 1, 2014

Hlawitschka, M., Hotz, I., Kratz, A., Marai, G.E., Moreno, R., Scheuermann, G., Stommel, M., Wiebel, A., Zhang, E., Top Challenges in the Visualization of Engineering Tensor Fields, Visualization and Processing of Tensors and Higher-Order Descriptors for Multi-field Data, Springer, pp. 1-13, Westin, C.F.|Burgeth, B.|Vilanova, A. (editors), January 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

Maries, A., Mays, N., Olson Hunt, M., Wong, K., Layton, W., Rosano, C., Boudreau, R., Marai, G.E., GRACE: A Visual Comparison Framework for Integrated Spatial and Non-Spatial Geriatric Data, IEEE Transactions on Visualization and Computer Graphics, vol 19, no 12, pp. 2916-2925, October 1, 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

Maries, A., Haque, M. A., Yilmaz, S. L., Nik, M. B., Marai, G. E., Interactive Exploration of Stress Tensors Used in Computational Turbulent Combustion, New Developments in the Visualization and Processing of Tensor Fields, Springer, pp. 137-156, D. Laidlaw, A. Villanova (editors), January 1, 2012

Smith, A.M., Xu, W., Sun, Y., Faeder, J.R., Marai, G.E., RuleBender: integrated modeling, simulation and visualization for rule-based intracellular biochemistry, 1st IEEE Symposium on Biological Data Visualization (BioVis 2011), Providence, RI, October 23, 2011

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

Haque, M. A., Maries, A., Yilmaz, S. L., Nik, M. B., Marai, G. E., Tensor Visualization in Computational Turbulent Combustion: A Case Study, IEEE Visualization 2010, Poster Abstracts with System Demonstration, pp. 1-2, October 1, 2010