39 citations · 43 across the 10 of their papers we have counts for
10 papers
DITTO: A Visual Digital Twin for Interventions and Temporal Treatment Outcomes in Head and Neck Cancer
Andrew Wentzel, Serageldin Attia, Xinhua Zhang +3
Digital twin models are of high interest to Head and Neck Cancer (HNC) oncologists, who have to navigate a series of complex treatment decisions that weigh the efficacy of tumor co…
MOTIV: Visual Exploration of Moral Framing in Social Media
Andrew Wentzel, Lauren Levine, Vipul Dhariwal +6
We present a visual computing framework for analyzing moral rhetoric on social media around controversial topics. Using Moral Foundation Theory, we propose a methodology for decons…
Roses Have Thorns: Understanding the Downside of Oncological Care Delivery Through Visual Analytics and Sequential Rule Mining
Carla Floricel, Andrew Wentzel, Abdallah Mohamed +3
Personalized head and neck cancer therapeutics have greatly improved survival rates for patients, but are often leading to understudied long-lasting symptoms which affect quality o…
A Lens to Pandemic Stay at Home Attitudes
Andrew Wentzel, Lauren Levine, Vipul Dhariwal +5
We describe the design process and the challenges we met during a rapid multi-disciplinary pandemic project related to stay-at-home orders and social media moral frames. Unlike our…
BI-LAVA: Biocuration with Hierarchical Image Labeling through Active Learning and Visual Analysis
Juan Trelles, Andrew Wentzel, William Berrios +1
In the biomedical domain, taxonomies organize the acquisition modalities of scientific images in hierarchical structures. Such taxonomies leverage large sets of correct image label…
DASS Good: Explainable Data Mining of Spatial Cohort Data
Andrew Wentzel, Carla Floricel, Guadalupe Canahuate +5
Developing applicable clinical machine learning models is a difficult task when the data includes spatial information, for example, radiation dose distributions across adjacent org…
Understanding Stay-at-home Attitudes through Framing Analysis of Tweets
Zahra Fatemi, Abari Bhattacharya, Andrew Wentzel +6
With the onset of the COVID-19 pandemic, a number of public policy measures have been developed to curb the spread of the virus. However, little is known about the attitudes toward…
THALIS: Human-Machine Analysis of Longitudinal Symptoms in Cancer Therapy
Carla Floricel, Nafiul Nipu, Mikayla Biggs +6
Although cancer patients survive years after oncologic therapy, they are plagued with long-lasting or permanent residual symptoms, whose severity, rate of development, and resoluti…
Explainable Spatial Clustering: Leveraging Spatial Data in Radiation Oncology
Andrew Wentzel, Guadalupe Canahuate, Lisanne van Dijk +3
Advances in data collection in radiation therapy have led to an abundance of opportunities for applying data mining and machine learning techniques to promote new data-driven insig…
Cohort-based T-SSIM Visual Computing for Radiation Therapy Prediction and Exploration
A. Wentzel, P. Hanula, T. Luciani +6
We describe a visual computing approach to radiation therapy (RT) planning, based on spatial similarity within a patient cohort. In radiotherapy for head and neck cancer treatment,…