Hugo J.W.L. Aerts
Harvard University(US)Maastricht University(NL)Massachusetts General Hospital(US)Dana-Farber Brigham Cancer Center(US)Artificial Intelligence in Medicine (Canada)(CA)Mass General Brigham(US)
Publications by Year
Research Areas
Radiomics and Machine Learning in Medical Imaging, Lung Cancer Diagnosis and Treatment, Medical Imaging Techniques and Applications, AI in cancer detection, Artificial Intelligence in Healthcare and Education
Most-Cited Works
- → Computational Radiomics System to Decode the Radiographic Phenotype(2017)6,264 cited
- → Radiomics: Extracting more information from medical images using advanced feature analysis(2012)5,763 cited
- → Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach(2014)5,019 cited
- → The Image Biomarker Standardization Initiative: Standardized Quantitative Radiomics for High-Throughput Image-based Phenotyping(2020)3,653 cited
- → Artificial intelligence in radiology(2018)3,503 cited
- → Radiomics: the process and the challenges(2012)2,228 cited