Platform for collision detection during treatment planning in radiotherapy
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Updated
Feb 28, 2025 - Python
Platform for collision detection during treatment planning in radiotherapy
Evaluate the feasibility of attention-gated 3D U-Net for knowledge-based planning dose prediction of head-and-neck radiotherapy.
Compare various deep learning-based knowledge-based planning methods for 3D dose distribution prediction of the head and neck plans.
LUND-PROBE – LUND Prostate Radiotherapy Open Benchmarking and Evaluation dataset
Code from my work as Radiation Physicist Assistant at Cookeville Regional Medical Center
Keras/Tensorflow implementation of 3D pix2pix for automating seed planning for prostate brachytherapy
Keras/Tensorflow implementation of TP-GAN (end-to-end automatic approach for treatment planning in low-dose-rate prostate brachytherapy)
implements OptimaQ, an AI-powered addiction prediction system using Q-learning (reinforcement learning)
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