Machine learning

Prediction of COVID-19 severity
Predicting of COVID-19 hospitalization, ICU, and death at the time of RT-PCR testing, days in advance of a patient seeking medical care, allowing for improved care and resource allocation
Radiotherapy treatment planning
Automating the design and validation of radiotherapy treatment plans to better treat cancer
Bone marrow transplants
Predicting survival of bone marrow transplants using machine learning
Pandemic modeling and planning
Predicting pandemic disease spread through very large agent-based simulations and optimizing mitigation strategies through graph theory and machine learning
Prediction of severe COVID-19 outcomes at the time testing: An anomaly detection approach
Early and effective detection of severe infection cases during a pandemic can significantly help patient prognosis and resource …
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Knowledge-based isocenter selection in radiosurgery planning
Purpose: We present a new method for knowledge-based isocenter selection for treatment planning in radiosurgery. Our objective is to …
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Understanding machine learning classifier decisions in automated radiotherapy quality assurance
The complexity of the radiotherapy planning demands a rigorous quality assurance (QA) process to ensure patient safety and to avoid …
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Knowledge-based isocenter selection in radiosurgery planning
We study knowledge-based isocenter selection approaches in radiosurgery planning. In particular, we want to leverage recent advances in …
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Guided undersampling classification for automated radiation therapy quality assurance of prostate cancer treatment
Purpose: To test the use of well-studied and widely used classification methods alongside newly developed data-filtering techniques …
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Predictive modeling of dosimetric quality assurance in radiation therapy
Volumetric arc therapy (VMAT) is a type of cancer treatment where radiation is delivered continuously from a moving beam source. Due to …
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