Advances in CT Dosimetry and Machine Learning:
Optimizing Patient Radiation Safety
Workshop Program
| 1 | February 7 | Morning (2h) | Theory | From CT dose metrics to personalized dosimetry Dosimetry of CBCT and CT as related to radiotherapy |
| February 7 | Afternoon (2h) | Theory | ML workflow AI Biases and Other Challenges |
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| 2 | February 8 | Morning (2h) | Theory | How to Develop Your First Radiomics Signature on CT Images Building Your Interactive DRL Dashboard: Transitioning from Excel Analysis to Big Data |
| February 8 | Afternoon (2h) | Practical | Open-source libraries and other resources and tools Hands-on Machine Learning: Regression/Classification ML models |
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| 3 | February 9 | Morning (2h) | Practical | How to Develop Your First Radiomics Signature on CT Images (Practical Application) Building Your Interactive DRL Dashboard: Transitioning from Excel Analysis to Big Data (Practical Application) |
| February 9 | Afternoon (2h) | Practical | Hands-on Workshop on a new AI-powered CT Dosimetry Tool QC of AI tools: How to do it in practice |
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| 4 | February 10 | Morning (2h) | Practical | How to Develop Your First Radiomics Signature on CT Images (Practical Application, Part II) Building Your Interactive DRL Dashboard: Transitioning from Excel Analysis to Big Data (Practical Application, Part II) |
| February 10 | Afternoon (2h) | Theory | Ethical, Regulatory and Legal Aspects of Machine Learning Q&A |