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06/15/2021
Site-Agnostic 3D Dose Distribution Prediction with Deep Learning Neural Networks
Typically, the current dose prediction models are limited to small amoun...
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11/01/2020
Using Monte Carlo dropout and bootstrap aggregation for uncertainty estimation in radiation therapy dose prediction with deep learning neural networks
Recently, artificial intelligence technologies and algorithms have becom...
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06/19/2020
Using Deep Learning to Predict Beam-Tunable Pareto Optimal Dose Distribution for Intensity Modulated Radiation Therapy
We propose to develop deep learning models that can predict Pareto optim...
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04/28/2020
A deep learning-based framework for segmenting invisible clinical target volumes with estimated uncertainties for post-operative prostate cancer radiotherapy
In post-operative radiotherapy for prostate cancer, the cancerous prosta...
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04/14/2020
A reinforcement learning application of guided Monte Carlo Tree Search algorithm for beam orientation selection in radiation therapy
Due to the large combinatorial problem, current beam orientation optimiz...
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08/16/2019
