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Events:
PhD Thesis Defense Announcement: “Problem-Driven Design Strategies for Scientific Data Visualization”
UIC Computer Science/EVL Marai Developing Computer Programs to Aid Cancer Patients
EVL hosts CAVE2 demos as part of Computer Science’s activities for UIC Open House
UIC/EVL Receives Two Honorable Mentions in IEEE VIS 2017 VAST Challenge
“Contextual Similarity Abstraction Techniques for Spatial Data Analysis”
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Research:
SMART-ACT: Spatial Methodologic Approaches for Risk Assessment and Therapeutic Adaptation in Cancer Treatment
Interactive Exploration and Tracking of Viscous Fingers in Large-Scale Ensemble Simulations
FixingTIM: Interactive Exploration of Sequence and Structural Data to Identify Functional Mutations in Protein Families
Astroshelf: Panning and Zooming the Observable Universe
Visual Analysis for Tensors in Computational Turbulent Combustion
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Timothy Luciani
PhD, 2019
Computer Science
tluciani21@gmail.com
http://tlucia2.people.uic.edu
Bibliography
Canahuate, G., Elgohari, B., Fuller, C.D., Luciani, T., Marai, G.E., Mohamed, A.S.R., Taku, N., Vock, D., Wentzel, A., van Dijk, L., 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
Canahuate, G., Elgohari, B., Elhalawani, H., Fuller, C.D., Luciani, T., Marai, G.E., Mohamed, A.S., Vock, D.M., Wentzel,A., A Spatial Neighborhood Methodology for Computing and Analyzing Lymph Node Carcinoma Similarity in Precision Medicine,
Journal of Biomedical Informatics
, vol 5, March 1, 2020
Canahuate, G., Cardenas, C.E., Edwards, B., Elgohari, B., Elhalawani, H., Fuller, C.D., Hanula, P., Luciani, T., Marai, G.E., Mohamed, A.S., Vock, D., Wentzel, A., 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
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