Publications by authors named "Hazem A A Nomer"
Radiother Oncol
December 2024
Article Synopsis
- The study focuses on using deep learning to improve the speed and quality of radiation treatment planning by predicting patient-specific 3D dose distributions in real time.
- It analyzed the impact of training dataset size and model complexity on the accuracy of dose predictions for 1250 prostate patients, using various sizes of neural network models.
- Results showed that more training data increases prediction accuracy, with the most effective model achieving low prediction errors in dose distribution despite not reaching a plateau in accuracy at 1000 training patients, indicating potential for further optimization.
Phys Med Biol
November 2024
Article Synopsis
- Intensity modulated proton therapy (IMPT) faces challenges from patient setup and proton range uncertainties, leading to longer planning times with robust optimization methods.
- A deep learning (DL) model was developed to predict dose distributions in various error scenarios for head and neck cancer patients, effectively evaluating plan robustness.
- The model demonstrated impressive accuracy, aligning closely with ground truth plans for most patients, and was able to predict full 3D dose distributions quickly, making it a viable option for enhancing IMPT treatment planning.
