Radiotherapy

Radiotherapy treatment planning

Automating the design and validation of radiotherapy treatment plans to better treat cancer

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 …

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 …

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 …

Simultaneous optimization of isocenter locations and sector duration in radiosurgery

Stereotactic radiosurgery is an effective technique to treat brain tumors for which several inverse planning methods may be …

Fluence map optimization in intensity-modulated radiation therapy treatment planning

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 …

Modeling and comparison of alternative approaches for sector duration optimization in a dedicated radiosurgery system

Stereotactic radiosurgery (SRS) is an effective technique to treat brain metastasis for which several inverse planning methods may be …

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 …

Spatio-temporal and class-imbalanced data analytics in healthcare

Data analytics promise to deliver value to industries by providing historical insights that can drive the future decisions. However, …