Hugo Aerts

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Andre DekkerProfessor of Clinical Data Science, MAASTRO Clinic, Maastricht University, GROW, Maastricht UMC+Verified email at maastro.nl
Emmanuel Rios VelazquezManaging Data Scientist Health and Life Sciences - AI & Analytics @ CognizantVerified email at cognizant.com
Chintan ParmarPathAI (Current) | [Novartis, Harvard-DFCI-BWH, ISI-Kolkata] (Previous)Verified email at dfci.harvard.edu
Raymond H. MakAssociate Professor of Radiation Oncology, Brigham and Women's Hospital/Dana-Farber Cancer InstituteVerified email at lroc.harvard.edu
Robert GilliesChair of Cancer Physiology, H. Lee Moffitt Cancer CenterVerified email at moffitt.org
Benjamin Haibe-KainsScientist (Principal Investigator), Princess Margaret Cancer Centre, University Health NetworkVerified email at uhnresearch.ca
Patrick GrossmannPh.D. Candidate conducting research at Harvard Medical School, Dana-Farber Cancer Institute, BWHVerified email at jimmy.harvard.edu
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
Udo HoffmannProfessor of Radiology, Harvard University, Massachusetts General HospitalVerified email at mgh.harvard.edu
Nicolai Juul BirkbakAssociate professor, Department of Molecular Medicine (MOMA), Aarhus UniversityVerified email at clin.au.dk
Stephen SF Yip, PhDJanssenVerified email at its.jnj.com
Elizabeth HuynhHarvard Medical SchoolVerified email at bwh.harvard.edu
Andrew H. BeckCo-Founder and CEO at PathAIVerified email at PathAI.com
Matthew B. Schabath, Ph.D.H. Lee Moffitt Cancer Center & Research InstituteVerified email at moffitt.org
Ronald BoellaardProfessor Clinical Physics of Positron Emission Tomography, VUmc, AmsterdamVerified email at vumc.nl
Anna GoldenbergScientist, SickKids Research Institute; Assistant Professor Department of Computer Science, University of TorontoVerified email at utoronto.ca
Bradly WoutersPrincess Margaret Cancer Centre, University Health Network, University of TorontoVerified email at uhnresearch.ca
Dmitry GoldgofProfessor of Computer Science and Engineering, University of South Florida, Moffitt Cancer CenterVerified email at mail.usf.edu
Ron KikinisB. Leonard Holman Professor of Radiology, Harvard Medical SchoolVerified email at bwh.harvard.edu

Hugo Aerts

Director AI in Medicine (AIM) @ Harvard-MGB | Professor @ MaastrichtU

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	3151	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	2758	2012
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	1676	2017
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	1460	2017
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	1442	2012
Artificial intelligence in radiology A Hosny, C Parmar, J Quackenbush, LH Schwartz, HJWL Aerts Nature Reviews Cancer 18 (8), 500-510, 2018	1091	2018
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	1046	2017
Machine learning methods for quantitative radiomic biomarkers C Parmar, P Grossmann, J Bussink, P Lambin, HJWL Aerts Scientific reports 5 (1), 1-11, 2015	691	2015
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	643	2020
Applications and limitations of radiomics SSF Yip, HJWL Aerts Physics in Medicine & Biology 61 (13), R150, 2016	634	2016
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	633	2017
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	629	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	578	2015
Artificial intelligence in cancer imaging: clinical challenges and applications WL Bi, A Hosny, MB Schabath, ML Giger, NJ Birkbak, A Mehrtash, ... CA: a cancer journal for clinicians 69 (2), 127-157, 2019	475	2019
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	459	2013
Robust radiomics feature quantification using semiautomatic volumetric segmentation C Parmar, E Rios Velazquez, R Leijenaar, M Jermoumi, S Carvalho, ... PloS one 9 (7), e102107, 2014	443	2014
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 (1), 1-10, 2015	368	2015
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	368	2013
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	362	2013
The potential of radiomic-based phenotyping in precision medicine: a review HJWL Aerts JAMA oncology 2 (12), 1636-1642, 2016	334	2016

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