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Events:
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
EVL PhD Candidate Andrew Wentzel Wins CoE Exceptional Research Promise Award
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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
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
Wentzel, A., Visual Computing Design for Explainable, Spatially-aware Machine Learning,
Submitted as partial fulfillment of the requirements for the degree of Doctor of Philosophy in Computer Science
, Graduate College of the University of Illinois Chicago, December 2, 2024
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