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Hugo J.W.L. Aerts

Brigham and Women's HospitalORCID https://orcid.org/0000-0002-2122-2003

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Top Publications

Computational Radiomics System to Decode the Radiographic Phenotype

Cancer Research20176,266 citationsCorresponding

Radiomics: Extracting more information from medical images using advanced feature analysis

European Journal of Cancer20125,765 citations

Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach

Nature Communications20145,021 citationsFirst authorCorresponding

The Image Biomarker Standardization Initiative: Standardized Quantitative Radiomics for High-Throughput Image-based Phenotyping

Radiology20203,655 citations

Artificial intelligence in radiology

Nature reviews. Cancer20183,504 citations

Artificial intelligence in cancer imaging: Clinical challenges and applications

CA A Cancer Journal for Clinicians20191,785 citationsCorresponding

Applications and limitations of radiomics

Physics in Medicine and Biology20161,204 citations

Machine Learning methods for Quantitative Radiomic Biomarkers

Scientific Reports2015996 citations

CT-based radiomic signature predicts distant metastasis in lung adenocarcinoma

Radiotherapy and Oncology2015701 citationsCorresponding

Radiomic Machine-Learning Classifiers for Prognostic Biomarkers of Head and Neck Cancer

Frontiers in Oncology2015400 citationsCorresponding

Exploratory Study to Identify Radiomics Classifiers for Lung Cancer Histology

Frontiers in Oncology2016369 citationsCorresponding

Hugo J.W.L. Aerts · Scinovex