Hugo Aerts

Cited by

	All	Since 2015
Citations	19018	17872
h-index	57	54
i10-index	124	122

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Co-authors

Emmanuel Rios VelazquezResearcher @ imec The NetherlandsVerified email at imec-nl.nl
Chintan ParmarNovartis Institutes for Biomedical Research (Current) | Harvard-DFCI-BWH (Previous)Verified email at dfci.harvard.edu
Andre DekkerProfessor of Clinical Data Science, MAASTRO Clinic, Maastricht University, GROW, Maastricht UMC+Verified email at maastro.nl
Raymond H. MakAssociate Professor of Radiation Oncology, Brigham and Women's Hospital/Dana-Farber Cancer InstituteVerified email at lroc.harvard.edu
Patrick GrossmannPh.D. Candidate conducting research at Harvard Medical School, Dana-Farber Cancer Institute, BWHVerified email at jimmy.harvard.edu
Benjamin Haibe-KainsScientist (Principal Investigator), Princess Margaret Cancer Centre, University Health NetworkVerified email at uhnresearch.ca
Robert GilliesChair of Cancer Imaging and Metabolism, H. Lee Moffitt Cancer CenterVerified email at moffitt.org
John QuackenbushHarvard T.H. Chan School of Public Health, Channing Division of Network Medicine, and Dana-FarberVerified email at hsph.harvard.edu
Thibaud CorollerResearcher @ NovartisVerified email at novartis.com
Nicolai Juul BirkbakAssociate professor, Department of Molecular Medicine (MOMA), Aarhus UniversityVerified email at clin.au.dk
Andrew H. BeckCo-Founder and CEO at PathAIVerified email at PathAI.com
Elizabeth HuynhHarvard Medical SchoolVerified email at bwh.harvard.edu
Udo HoffmannProfessor of Radiology, Harvard University, Massachusetts General HospitalVerified email at mgh.harvard.edu
Bradly WoutersPrincess Margaret Cancer CentreVerified email at uhnresearch.ca
Ronald BoellaardProfessor Clinical Physics of Positron Emission Tomography, VUmc, AmsterdamVerified email at vumc.nl
Dmitry GoldgofProfessor of Computer Science and Engineering, University of South Florida, Moffitt Cancer CenterVerified email at mail.usf.edu
Anna GoldenbergScientist, SickKids Research Institute; Assistant Professor Department of Computer Science, University of TorontoVerified email at utoronto.ca
Matthew B. Schabath, Ph.D.H. Lee Moffitt Cancer Center & Research InstituteVerified email at moffitt.org
Ron KikinisProfessor of Radiology, Harvard Medical School, Professor of MIC, University of BremenVerified email at kikinis.org
David GutmanAssistant Professor of Neurology, Psychiatry, Biomedical Informatics, Emory UniversityVerified email at emory.edu

Hugo Aerts

Director AIM @ Harvard-BWH; DFCI; MGH

Verified email at dfci.harvard.edu - Homepage

Deep Learning Artificial Intelligence Bioinformatics Radiomics Radiogenomics


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Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach HJWL Aerts, ER Velazquez, RTH Leijenaar, C Parmar, P Grossmann, ... Nature communications 5 (1), 1-9, 2014	2304	2014
Radiomics: extracting more information from medical images using advanced feature analysis P Lambin, E Rios-Velazquez, R Leijenaar, S Carvalho, ... European journal of cancer 48 (4), 441-446, 2012	1821	2012
Radiomics: the process and the challenges V Kumar, Y Gu, S Basu, A Berglund, SA Eschrich, MB Schabath, K Forster, ... Magnetic resonance imaging 30 (9), 1234-1248, 2012	1039	2012
Tracking the evolution of non–small-cell lung cancer M Jamal-Hanjani, GA Wilson, N McGranahan, NJ Birkbak, TBK Watkins, ... New England Journal of Medicine 376 (22), 2109-2121, 2017	984	2017
Computational radiomics system to decode the radiographic phenotype JJM Van Griethuysen, A Fedorov, C Parmar, A Hosny, N Aucoin, ... Cancer research 77 (21), e104-e107, 2017	742	2017
Phylogenetic ctDNA analysis depicts early-stage lung cancer evolution C Abbosh, NJ Birkbak, GA Wilson, M Jamal-Hanjani, T Constantin, ... Nature 545 (7655), 446-451, 2017	661	2017
Machine learning methods for quantitative radiomic biomarkers C Parmar, P Grossmann, J Bussink, P Lambin, HJWL Aerts Scientific reports 5, 13087, 2015	471	2015
Artificial intelligence in radiology A Hosny, C Parmar, J Quackenbush, LH Schwartz, HJWL Aerts Nature Reviews Cancer 18 (8), 500-510, 2018	456	2018
Imaging biomarker roadmap for cancer studies JPB O'Connor, EO Aboagye, JE Adams, HJWL Aerts, SF Barrington, ... Nature reviews Clinical oncology 14 (3), 169-186, 2017	447	2017
CT-based radiomic signature predicts distant metastasis in lung adenocarcinoma TP Coroller, P Grossmann, Y Hou, ER Velazquez, RTH Leijenaar, ... Radiotherapy and Oncology 114 (3), 345-350, 2015	426	2015
Applications and limitations of radiomics SSF Yip, HJWL Aerts Physics in Medicine & Biology 61 (13), R150, 2016	403	2016
Inconsistency in large pharmacogenomic studies B Haibe-Kains, N El-Hachem, NJ Birkbak, AC Jin, AH Beck, HJWL Aerts, ... Nature 504 (7480), 389-393, 2013	394	2013
Allele-specific HLA loss and immune escape in lung cancer evolution N McGranahan, R Rosenthal, CT Hiley, AJ Rowan, TBK Watkins, ... Cell 171 (6), 1259-1271. e11, 2017	350	2017
Robust radiomics feature quantification using semiautomatic volumetric segmentation C Parmar, ER Velazquez, R Leijenaar, M Jermoumi, S Carvalho, RH Mak, ... PloS one 9 (7), e102107, 2014	327	2014
Predicting outcomes in radiation oncology—multifactorial decision support systems P Lambin, RGPM Van Stiphout, MHW Starmans, E Rios-Velazquez, ... Nature reviews Clinical oncology 10 (1), 27-40, 2013	318	2013
The image biomarker standardization initiative: standardized quantitative radiomics for high-throughput image-based phenotyping A Zwanenburg, M Vallières, MA Abdalah, HJWL Aerts, V Andrearczyk, ... Radiology 295 (2), 328-338, 2020	313	2020
Radiomic feature clusters and prognostic signatures specific for lung and head & neck cancer C Parmar, RTH Leijenaar, P Grossmann, ER Velazquez, J Bussink, ... Scientific reports 5, 11044, 2015	295	2015
Stability of FDG-PET Radiomics features: an integrated analysis of test-retest and inter-observer variability RTH Leijenaar, S Carvalho, ER Velazquez, WJC Van Elmpt, C Parmar, ... Acta oncologica 52 (7), 1391-1397, 2013	287	2013
The effect of SUV discretization in quantitative FDG-PET Radiomics: the need for standardized methodology in tumor texture analysis RTH Leijenaar, G Nalbantov, S Carvalho, WJ Van Elmpt, EGC Troost, ... Scientific reports 5, 11075, 2015	242	2015
The potential of radiomic-based phenotyping in precision medicine: a review HJWL Aerts JAMA oncology 2 (12), 1636-1642, 2016	211	2016

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