Computer science applications on Radiotherapy and Radiobiology

Motivations

From the beginning of its history, radiotherapy has been a discipline closely integrated with computer science. Besides, Computer-based systems and Artificial intelligence (AI) promise to revolutionize radiotherapy in each part, like image processing, contouring, planning, quality assurance, motion management, and outcome prediction. In this sense, computer science has the potential to play a significant role in radiobiology research by enabling the analysis and interpretation of large amounts of data, making predictions, and identifying patterns that may not be apparent to humans. Some specific ways in which computer science and AI could be used in radiobiology research include Analyzing large datasets; Predictive modeling; Identifying patterns; Optimizing treatment plans.
This track will consider computer science contributions to the development of radiotherapy and radiobiology.

Topics

Papers are welcome in the following areas:

• Image processing
• Image Contouring
• Optimization of radiotherapy Planning
• Outcome Prediction
• Radiology Modelling
• Radiomics and identifying patterns
• New radiotherapy methods and systems
• GPU for Monte Carlo simulations for radiotherapy

Important Dates

The special track will take place in parallel with the general conference track. Submission deadlines are reported here.

Submission Guidelines

Please refer to this page.

Special Issue

Organizers

Program Committee