Education
IAEA, Resources and Learning for Health Professionals
MIT Introduction to Deep Learning
Primer on Radiation Oncology Physics
Deep Learning in Radiotherapy, March 22, University Medical Center Utrecht
Monte Carlo
Imaging Archives
Open-Access Medical Image Repositories
Radiation Dosimetry Tools: NCIDose
RadImageNet: An Open Radiologic Deep Learning Research Dataset for Effective Transfer Learning
Visualization
3D slicer image computing platform
Nvidia AI-assisted annotation (AIAA) for 3D Slicer
Slicer CAT: Creating custom applications based on 3D Slicer
NVIDIA Clara Imaging (using GPU)
Medical Segmentation Decathlon
ITK-SNAP - a software application used to segment structures in 3D medical images.
The Medical Imaging Interaction Toolkit (MITK)
Advanced Normalization Tools (ANTs)
Fiji (ImageJ + many useful plugins)
XNAT – a DICOM database system with many image handling tools
Project InnerEye – Democratizing Medical Imaging AI
CERR – a viewer and radiotherapy data manipulation system in Matlab
and the associated open-source tools
Image Viewing and Processing (FREE MEDICAL IMAGING SOFTWARE)
Python Imaging Library (Pillow) (Link)
PlatiPy documentation (Processing Library and Analysis Toolkit for Medical Imaging in Python)
Treatment Planning
Machine Learning
A platform for end-to-end development of machine learning solutions in biomedical imaging.
AI in Medical Physics: Guidelines for publication (Link)
AI tools for analysis of PET/CT and CT studies (Link)
Medical Open Network for Artificial Intelligence (MONAI) (Link)
MONAI – An Open Source Framework for AI Development in Medical Imaging (YoUTube Link)
NiftyNet (Link)