About
Location
People
Join Us
Events
Papers
Research
Art
Related Entries
Events:
Best Paper Award @ ACM SAC'26
Congrats to Francesco Botto for a CoGamy Workshop Paper at ICDM 2025!
Professor Liz Marai Delivers Keynote at the Visual Analytics in Healthcare
EVL PhD Students Sanjana Srabanti, Leonardo Ferreira, and Gustavo Moreira Publish to VIS 2025
“Lessons from the Development and Deployment of an Interactive Oncological Risk Estimator” to be Presented at VAHC 2025
View more…
Research:
Research Infrastructure: MRI: Track 2 Acquisition of Data Observation and Computation Collaboratory (DOCC)
Enhancing biomedical search interfaces with images
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
Roses Have Thorns: Understanding the Downside of Oncological Care Delivery Through Visual Analytics and Sequential Rule Mining
COVID-19 EnsembleVis: Visual Analysis of County-level Ensemble Forecast Models
View more…
G. Elisabeta Marai
EVL Faculty
Professor, Computer Science
CS Director of Graduate Admissions
Director, UIC Institute for Health Data Science Research
gmarai@uic.edu
http://www.evl.uic.edu/marai/
Bibliography
Loeb, J.A., Maharathi, B., Marai, G.E., Nipu, N,, Zhao, S., Neurosurgery Network Pattern Analysis with 2nd Generation Ensembles,
Computer Graphics Forum, 2026
, April 1, 2026
Canahuate, G., Fuller, C., Marai, G. E., Anyimadu, E. A., Zhang, X., Advancing Normal Tissue Complication Probability Modeling with Supervised Contrastive Learning for Predicting Osteoradionecrosis,
The 41st ACM/SIGAPP Symposium on Applied Computing (SAC ’26)
, Thessaloniki, Greece, ACM, New York, NY, USA, pp. 8, March 23, 2026
Botto, F., Canhuate, G., Fuller, C.D., Marai, G.E., Zhang, X., FlavorCharter: Development of a Smartphone App for Quantifying Food Flavor,
Workshop on Computational Gastronomy: Data Science for Food and Cooking (CoGamy) at the International Conference on Data Mining (ICDM) 2025
, Washington, DC, pp. 1-7, November 12, 2025
View more…
