Andrew Wentzel
Title
PhD CandidateDepartment
Computer ScienceInformation
Email: awentze2@uic.edu
Bibliography
pubs (17)
- 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
- MOTIV: Visual Exploration of Moral Framing in Social Media
- Kiviat Defense: An Empirical Evaluation of Visual Encoding Effectiveness in Multivariate Data Similarity Detection
- Roses Have Thorns: Understanding the Downside of Oncological Care Delivery Through Visual Analytics and Sequential Rule Mining
Related Topics
events (6)
- EVL PhD Candidate Andrew Wentzel Presents his Research at IEEE VIS2024
- EVL PhD Candidate Andrew Wentzel Wins CoE Exceptional Research Promise Award
- PhD Prelim Announcement: Visual Computing Design for Explainable, Spatially-aware Machine Learning
- EVL Research Team’s Visualization Featured on the Journal of Imaging Science and Technology
- EVL Research Team Publishes Their Visual Analytics Research for Oncological Care
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