activity
20202025
most citedA deep learning-based framework for segmenting invisible clinical target volumes with estimated uncertainties for post-operative prostate cancer radiotherapy

12 citations · 44 across the 11 of their papers we have counts for

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Showing 2024Show all

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physics.med-ph2024★ 9 cited

Multiomics-based Outcome Prediction for the Treatment of Brain Metastases with Personalized Ultra-fractionated Stereotactic Adaptive Radiotherapy (PULSAR)

Haozhao Zhang, Michael Dohopolski, Strahinja Stojadinovic +10

Purpose: We aimed to develop a data-driven multiomics approach integrating radiomics, dosiomics, and delta features to predict treatment response at an earlier stage (intra-treatme…