39 citations · 43 across the 8 of their papers we have counts for
8 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…
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…
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…
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…
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,…
Robust Oil-spill Forensics and Petroleum Source Differentiation using Quantized Peak Topography Maps
Hamidreza Ghasemi Damavandi, Ananya Sen Gupta, Guadalupe Canahuate +2
Identification and classification of environmental forensics, with the petroleum forensics as the main application, requires an effective technology or method to distinguish betwee…