hujinyan's repositories
radiotherapy-dose-prediction
TMI dose prediction
6-DoF-Robotic-Motion-Phantom
The Robotic Motion Phantom application provides methods to accurately reproduce the full range and rate of patient-measured tumour motion using a robotically controlled phantom to provide precise 6 DoF geometric quality assurance for advanced radiotherapy approaches.
dicompyler-core
A library of core radiation therapy modules for DICOM RT used by dicompyler
DoseDiff
DoseDiff: Distance-aware Diffusion Model for Dose Prediction in Radiotherapy
doselo
DOSELO (Dose Segmentation Loss Function): Dose Guidance for Radiotherapy-oriented Deep Learning Segmentation
DoseRTX
Domain knowledge driven 3D radiation dose prediction [PMB'22]
DVH-Analytics
A DICOM Database Application for Radiation Oncology
fluence_maps
Deep learning models to predict the gamma index of treatment plans based on calculated fluence maps for intensity modulated radiation therapy (IMRT).
GliomaSolver
Solver for simulating tumor growth and mass effect in patient brain anatomy
MAAS-PlanScoreCard
Medical Affairs Applied Solutions ESAPI tool to create ScoreCards and score plans; in-metric Boolean/expansion; normalize dose to max score
med-imagetools
Transparent and reproducible medical image processing pipelines in Python.
MONAI
AI Toolkit for Healthcare Imaging
open-kbp-opt
Develop plan optimization models for knowledge-based planning in radiotherapy
Physics-ArX
Physics-based data augmentation library for quantifying CT and CBCT images in radiotherapy [PMB'21, Medical Physics'21, AAPM'21]
pylinac
A TG-142 toolkit for doing routine linear accelerator quality assurance
pymedphys
A community effort to develop an open standard library for Medical Physics in Python. Building quality transparent software together via peer review and open source distribution. Open code is better science.
pyod
A Python Toolbox for Scalable Outlier Detection (Anomaly Detection)
RTDosePrediction
Automatic Radiotherapy Treatment Planning ， Knowledge-Based Planning ， Dose Prediction ， Cascade 3D Network (C3D) ，DCNN, Head and Neck , 1st Place Solution to the AAPM OpenKBP challenge
rtdsm
A python package to calculate radiation dose-surface maps from radiotherapy treatment plans.
time-series-forecasting-with-UORO-RTRL-LMS-and-linear-regression
Prediction of multidimensional time-series data using a recurrent neural network (RNN) trained by real-time recurrent learning (RTRL), unbiased online recurrent optimization (UORO), least mean squares (LMS), or multivariate linear regression. The optimal hyper-parameters are selected using grid search with parallel processing.
Varian-Code-Samples
Code samples for ESAPI and other Varian APIs and web services.