Peter Hanula
MS Graduate, 2018
Computer Science
peterhanulajr@gmail.com
Bibliography
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
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
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
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
P. Hanula, CAMP - RT: A Patient Similarity-Based Method for Predicting Radiation Dosage in Head and Neck Radiation Oncology, Submitted in partial fulfillment of the requirements for the degree of Master of Science in Computer Science, Graduate College of the University of Illinois at Chicago, December 31, 2018
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
