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H. Aerts

24

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35

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PL01.04 Artificial Intelligence, Big Data and Lung Cancer: Ready to Implement?

2019 Journal of Thoracic Oncology
- H. Aerts
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PO-0968: The effect of SUV discretization in PET Radiomics: the need for standardized methodology in tumor texture analysis

2015 Radiotherapy and Oncology
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OC-0373: An HPV-based predictive model for oropharynx cancer yields more accurate predictions than TNM staging system

2014 Radiotherapy and Oncology
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RADIOMICS ON LUNG CANCER

2014 Journal of Thoracic Oncology
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EP-1172: Metabolic metrics in repeated FDG-PET scans show early treatment response for NSCLC patients

2014 Radiotherapy and Oncology
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SP-0293: Radiomics: Advanced image analysis for the prediction of outcome. The example of lung cancer

2013 Radiotherapy and Oncology
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PD-0448: Are advanced quantitative CT imaging features associated with survival in HNSCC patients?

2013 Radiotherapy and Oncology
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PD-0453: Test-retest repeatability analysis of 18F-FDG PET Radiomics features in NSCLC

2013 Radiotherapy and Oncology
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SP-0183 RADIOMICS: EXTRACTING ADVANCED FEATURES FROM MEDICAL IMAGING

2012 Radiotherapy and Oncology
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PD-0082 TEST-RETEST REPRODUCIBILITY OF CT AND PET IMAGING FEATURES EXTRACTED FROM TUMOUR-BEARING RATS

2012 Radiotherapy and Oncology
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