Andrew Wentzel
Title
PhD Graduate, 2024Department
Computer ScienceInformation
Email: awentze2@uic.edu
Bibliography
pubs (20)
- mEnergy: Development of a Novel mHealth Multi-device Platform for Near Real-time Remote Assessment of Energy Disorders
- Externally validated digital decision support tool for time-to-osteoradionecrosis risk-stratification using right-censored multi-institutional observational cohorts
- Visual Computing Design for Explainable, Spatially-aware Machine Learning
- BI-LAVA: Biocuration with Hierarchical Image Labeling through Active Learning and Visual Analytics
- DITTO: A Visual Digital Twin for Interventions and Temporal Treatment Outcomes in Head and Neck Cancer
Related Topics
events (9)
- 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
research (4)
- 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