The code base for Generalizable Dose Prediction for Heterogenous Multi-Cohort and Multi-Site Radiotherapy Planning (GDP-HMM) challenge at AAPM 2025
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Updated
Dec 5, 2025 - Python
The code base for Generalizable Dose Prediction for Heterogenous Multi-Cohort and Multi-Site Radiotherapy Planning (GDP-HMM) challenge at AAPM 2025
A Cascade Transformer-based Model for 3D Dose Distribution Prediction in Head and Neck Cancer Radiotherapy
Compare various deep learning-based knowledge-based planning methods for 3D dose distribution prediction of the head and neck plans.
ScanNetAI is an advanced self-supervised deep learning model tailored for CT image analysis. It excels in processing large-scale CT data, offering superior performance in tasks like image segmentation, medical image conversion, and dosage prediction.
Online Radiation Therapy BED EQD2 and Reirradiation comparision schemes based on Python and Streamlit
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