Dosimetric Awareness of Radiation Oncology Professionals#

3: Predicting the Impact of Target Volume Contouring Variations on the Organ at Risk Dose: Results of a Qualitative Survey#

This work was published in Radiotherapy and Oncology (the “Green Journal”). More details about this work is included in Chapter 3.

4: Comparing the Performance of Radiation Oncologists versus a Deep Learning Dose Predictor to Estimate Dosimetric Impact of Segmentation Variations for Radiotherapy#

This work was presented as an oral talk at MIDL 2024. More details about this work is included in Chapter 4.

5: AutoDoseRank: Automated Dosimetry-Informed Segmentation Ranking for Radiotherapy#

This work was presented as an oral talk at the CaPTion Workshop at MICCAI 2024. More details about this work is included in Chapter 5.

Ongoing connection: These studies motivate personalized contour review and correction, combining models that represent observer variability with workflows that help clinicians resolve consequential differences.

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