H
Hugo J.W.L. Aerts
Researcher at Brigham and Women's Hospital
Publications - 239
Citations - 34558
Hugo J.W.L. Aerts is an academic researcher from Brigham and Women's Hospital. The author has contributed to research in topics: Lung cancer & Medicine. The author has an hindex of 62, co-authored 204 publications receiving 23205 citations. Previous affiliations of Hugo J.W.L. Aerts include Harvard University & Stanford University.
Papers
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Journal ArticleDOI
Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach
Hugo J.W.L. Aerts,Emmanuel Rios Velazquez,Ralph T.H. Leijenaar,Chintan Parmar,Patrick Grossmann,Sara Carvalho,Sara Cavalho,Johan Bussink,René Monshouwer,Benjamin Haibe-Kains,Derek H. F. Rietveld,Frank J. P. Hoebers,Michelle M. Rietbergen,C. René Leemans,Andre Dekker,John Quackenbush,Robert J. Gillies,Philippe Lambin +17 more
TL;DR: The data suggest that radiomics identifies a general prognostic phenotype existing in both lung and head-and-neck cancer, which may have a clinical impact as imaging is routinely used in clinical practice, providing an unprecedented opportunity to improve decision-support in cancer treatment at low cost.
Journal ArticleDOI
Radiomics: extracting more information from medical images using advanced feature analysis.
Philippe Lambin,Emmanuel Rios-Velazquez,Ralph T.H. Leijenaar,Sara Carvalho,Ruud G.P.M. van Stiphout,Patrick V. Granton,Catharina M.L. Zegers,Robert J. Gillies,Ronald Boellard,Andre Dekker,Hugo J.W.L. Aerts,Hugo J.W.L. Aerts +11 more
TL;DR: Radiomics--the high-throughput extraction of large amounts of image features from radiographic images--addresses this problem and is one of the approaches that hold great promises but need further validation in multi-centric settings and in the laboratory.
Journal ArticleDOI
Computational Radiomics System to Decode the Radiographic Phenotype
Joost J. M. van Griethuysen,Joost J. M. van Griethuysen,Joost J. M. van Griethuysen,Andriy Fedorov,Chintan Parmar,Ahmed Hosny,Nicole Aucoin,Vivek Narayan,Regina G. H. Beets-Tan,Regina G. H. Beets-Tan,Jean-Christophe Fillion-Robin,Steve Pieper,Hugo J.W.L. Aerts +12 more
TL;DR: PyRadiomics, a flexible open-source platform capable of extracting a large panel of engineered features from medical images, is developed and its application in characterizing lung lesions is demonstrated.
Journal ArticleDOI
Radiomics: the process and the challenges
Virendra Kumar,Yuhua Gu,Satrajit Basu,Anders Berglund,Steven A. Eschrich,Matthew B. Schabath,Kenneth M. Forster,Hugo J.W.L. Aerts,Hugo J.W.L. Aerts,Andre Dekker,David Fenstermacher,Dmitry B. Goldgof,Lawrence O. Hall,Philippe Lambin,Yoganand Balagurunathan,Robert A. Gatenby,Robert J. Gillies +16 more
TL;DR: "Radiomics" refers to the extraction and analysis of large amounts of advanced quantitative imaging features with high throughput from medical images obtained with computed tomography, positron emission tomography or magnetic resonance imaging, leading to a very large potential subject pool.
Journal ArticleDOI
Artificial intelligence in radiology
Ahmed Hosny,Chintan Parmar,John Quackenbush,Lawrence H. Schwartz,Lawrence H. Schwartz,Hugo J.W.L. Aerts,Hugo J.W.L. Aerts +6 more
TL;DR: A general understanding of AI methods, particularly those pertaining to image-based tasks, is established and how these methods could impact multiple facets of radiology is explored, with a general focus on applications in oncology.