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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
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
Berrios, W., Marai, G.E., Shatkay, H., Trelles, J., Wentzel, A., BI-LAVA: Biocuration with Hierarchical Image Labeling through Active Learning and Visual Analytics,
Computer Graphics Forum 2024
, pp. 1-15, September 22, 2024
Attia, S., Canahuate, G., Fuller, C.D., Marai. G.E., Wentzel, A., Zhang, X., DITTO: A Visual Digital Twin for Interventions and Temporal Treatment Outcomes in Head and Neck Cancer,
IEEE Trans. Vis. Comp. Graphics
, pp. 1-11, July 18, 2024
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