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Lectures

1
ESOR AI 4 - AI in Cancer Research and Central Repositories as Imaging Biobanks

ESOR AI 4 - AI in Cancer Research and Central Repositories as Imaging Biobanks

20:51M. Dewey.mp4

Learning Objectives
1. to learn about the general relevance of data sharing
2. to understand the issues of the replication crisis
3. to appreciate the potential of imaging biobanks of randomised trials

2
ESOR AI 4 - AI in multimodality cancer imaging

ESOR AI 4 - AI in multimodality cancer imaging

28:26C. Cyran.mp4

Learning Objectives
1. to learn about the different imaging modalities available for multiparametric cancer imaging
2. to understand the concept and utility of qualified imaging biomarkers for guiding cancer therapy
3. to get acquainted with the most relevant concepts in AI-based analysis of multimodality imaging data
4. to be aware of the basic concepts in integrated diagnostics and its relevance for cancer care

3
ESOR AI 4 - AI in oncologic imaging training

ESOR AI 4 - AI in oncologic imaging training

23:42C. Catalano.mp4

ESR/ESOR AI - 4-1
Introduction
ESR/ESOR AI - 4-2
AI in multimodality cancer imaging
Learning Objectives
• to learn about the different imaging modalities available for multiparametric cancer imaging

• to understand the concept and utility of qualified imaging biomarkers for guiding cancer therapy

• to get acquainted with the most relevant concepts in AI-based analysis of multimodality imaging data
• to be aware of the basic concepts in integrated diagnostics and its relevance for cancer care

ESR/ESOR AI - 4-3
AI in cancer research and central repositories as imaging biobanks: directions
Learning Objectives
• to learn about the general relevance of data sharing

• to understand the issues of the replication crisis

• to appreciate the potential of imaging biobanks of randomised trials
ESR/ESOR AI - 4-4
AI in oncologic imaging training
ESR/ESOR AI - 4-5
Q&A

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