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Congratulations to EVL PhD Andrew Wentzel & Co-authors for a Nature Scientific Data Publication
PhD Dissertation Announcement: “Human-Centered Design For Explainable, Spatial Machine Learning”
EVL PhD Candidate Andrew Wentzel Presents his Research at IEEE VIS2024
IEEE VIS 2024: Visualization & Virtual Analytics Virtual Conference
EVL Team Gets 2nd Place in EPIC Hackathon at UIC
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Research:
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
DASS
SMART-ACT: Spatial Methodologic Approaches for Risk Assessment and Therapeutic Adaptation in Cancer Treatment
Andrew Wentzel
PhD Graduate, 2024
Computer Science
awentze2@uic.edu
Bibliography
et al, Abdelaal, M., Brock, K.K., Canahuate, G., Chambers, M., Chen, M.M., Kaffey, Z., Kamel, S., Marai, G.E., Otun, A.O., Rigert, J., Wahid, K.A., Wentzel, A., West, N.A., Zhang, X., Clinical and dosimetric dataset of time-to-event normal tissue complication probability for osteoradionecrosis,
Nature Scientific Data
, November 1, 2025
Canahuate, G., Fuller, C. D., Marai, G. E., Molaei, N. H., Nipu, N., Sangi, N., Wentzel, A., Zhang, X., mEnergy: Development of a Novel mHealth Multi-device Platform for Near Real-time Remote Assessment of Energy Disorders,
The 47th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) 2025
, Copenhagen, Denmark, pp. 1 - 7, July 14, 2025
, April 11, 2025
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