wwwppp121's repositories
open-kbp-opt
Develop plan optimization models for knowledge-based planning in radiotherapy
biscuit
Bayesian Inference of Slide-level Confidence via Uncertainty Index Thresholding
EGSnrc
Toolkit for Monte Carlo simulation of ionizing radiation — Trousse d'outils logiciels pour la simulation Monte Carlo du rayonnement ionisant
DeepLearning-500-questions
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
open-kbp
Develop dose prediction models for knowledge-based planning in radiotherapy
DoseRTX
Domain knowledge driven 3D radiation dose prediction [PMB'22]
UNetPlusPlus
[IEEE TMI] Official Implementation for UNet++
MetaPlanner
MetaPlanner is an open source automated treatment planning method that performs meta-optimization of treatment planning hyperparameters. It is meant for educational/research purposes and supports planning in MatRad using one of their experimental branches.
awesome-medphys
A list of open-source software tailored for the Medical Physics domain
reliability-challenges-uncertainty
Assessing Reliability and Challenges of Uncertainty Estimations for Medical Image Segmentation
CycleGAN
Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.
cs231n.github.io
Public facing notes page
Varian-Code-Samples
Code samples for ESAPI and other Varian APIs and web services.
rt-dtools
Radiotherapy Dose Tools
Dose_Prediction
A Cascade Transformer-based Model for 3D Dose Distribution Prediction in Head and Neck Cancer Radiotherapy
dlwpt-code
Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.
Reinforcement-learning-with-tensorflow
Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学
rtdsm
A python package to calculate radiation dose-surface maps from radiotherapy treatment plans.
PyTorch-GAN
PyTorch implementations of Generative Adversarial Networks.
NLP-Tutorials
Simple implementations of NLP models. Tutorials are written in Chinese on my website https://mofanpy.com
precision-medicine-toolbox
Precision medicine toolbox
Physics-ArX
Physics-based data augmentation library for quantifying CT and CBCT images in radiotherapy [PMB'23, PMB'21, Medical Physics'21, AAPM'21]
deep-learning-KBP-methods-for-rt-dose-prediction
Compare various deep learning-based knowledge-based planning methods for 3D dose distribution prediction of the head and neck plans.
attention-aware-3D-UNet-for-RT-dose-prediction
Evaluate the feasibility of attention-gated 3D U-Net for knowledge-based planning dose prediction of head-and-neck radiotherapy.
deepdosesens
How Sensitive Are Deep Learning Based Radiotherapy Dose Prediction Models To Variability In Organs At Risk Segmentation?
probabilistic_unet
A U-Net combined with a variational auto-encoder that is able to learn conditional distributions over semantic segmentations.
PyTorch-Tutorial
Build your neural network easy and fast, 莫烦Python中文教学