39 citations · 42 across the 12 of their papers we have counts for
12 papers
Dysphagia Risk Stratification in Head and Neck Cancer via Two-Stage PRO-Clinical Stacking
Siyuan Zhao, Eric Ababio Anyimadu, Zachary G. Brumm +5
Dysphagia is a debilitating late effect of head and neck cancer (HNC) treatment, yet timely identification of at-risk patients remains challenging in survivorship care. Definitive…
StreetWeave: A Declarative Grammar for Street-Overlaid Visualization of Multivariate Data
Sanjana Srabanti, G. Elisabeta Marai, Fabio Miranda
The visualization and analysis of street and pedestrian networks are important to various domain experts, including urban planners, climate researchers, and health experts. This ha…
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…
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…
Visual Analysis and Detection of Contrails in Aircraft Engine Simulations
Nafiul Nipu, Carla Floricel, Negar Naghashzadeh +2
Contrails are condensation trails generated from emitted particles by aircraft engines, which perturb Earth's radiation budget. Simulation modeling is used to interpret the formati…
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,…