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Events:
EVL Professor G. Elisabeta Marai’s Research and Students’ Work Cited in “Visualization, Visual Analytics and Virtual Reality in Medicine”
UIC Computer Science/EVL Marai Developing Computer Programs to Aid Cancer Patients
UIC/EVL Receives Honorable Mention in IEEE VIS 2016’s VGTC VPG Data Visualization Contest
Research:
QuBBD: Precision E-Radiomics for Dynamic Big Head & Neck Cancer Data
Peter Hanula
MS Graduate, 2018
Computer Science
peterhanulajr@gmail.com
https://p10tr.gitlab.io/
Bibliography
Canahuate, G., Cardenas, C., Elgohari, B., Fuller, C.D., Hanula, P., Marai, G.E., Mohamed, A.S., Van Dijk, L.V., Vock, D., Wentzel,A., 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
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
Canahuate. G., Elgohary, B., Fuller, C.D., Hanula, P., Luciani, T,, Marai, G.E., Vock, D., Wentzel, A., 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
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