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Predicting, Analyzing and Communicating Outcomes of COVID-19 Hospitalizations with Medical Images and Clinical Data
(The Eurographics Association, 2022)
We propose PACO, a visual analytics framework to support the prediction, analysis, and communication of COVID-19 hospitalization outcomes. Although several real-world data sets about COVID-19 are openly available, most of ...
Visual Analytics to Assess Deep Learning Models for Cross-Modal Brain Tumor Segmentation
(The Eurographics Association, 2022)
Accurate delineations of anatomically relevant structures are required for cancer treatment planning. Despite its accuracy, manual labeling is time-consuming and tedious-hence, the potential of automatic approaches, such ...
Understanding the Impact of Statistical and Machine Learning Choices on Predictive Models for Radiotherapy
(The Eurographics Association, 2022)
During radiotherapy (RT) planning, an accurate description of the location and shape of the pelvic organs is a critical factor for the successful treatment of the patient. Yet, during treatment, the pelvis anatomy may ...