4 papers
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…