Hugo Aerts

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Raymond H. MakAssociate Professor of Radiation Oncology, Brigham and Women's Hospital/Dana-Farber Cancer InstituteEmail verificata su lroc.harvard.edu
Andre DekkerProfessor of Clinical Data Science, MAASTRO Clinic, Maastricht University, GROW, Maastricht UMC+Email verificata su maastro.nl
Chintan ParmarPathAI (Current) | [Novartis, Harvard-DFCI-BWH, ISI-Kolkata] (Previous)Email verificata su dfci.harvard.edu
Emmanuel Rios VelazquezManaging Data Scientist Health and Life Sciences - AI & Analytics @ CognizantEmail verificata su cognizant.com
Robert GilliesChair of Cancer Physiology, H. Lee Moffitt Cancer CenterEmail verificata su moffitt.org
Benjamin Haibe-KainsScientist (Principal Investigator), Princess Margaret Cancer Centre, University Health NetworkEmail verificata su uhnresearch.ca
Patrick GrossmannPh.D. Candidate conducting research at Harvard Medical School, Dana-Farber Cancer Institute, BWHEmail verificata su jimmy.harvard.edu
John QuackenbushHarvard T.H. Chan School of Public Health, Channing Division of Network Medicine, and Dana-FarberEmail verificata su hsph.harvard.edu
Thibaud CorollerResearcher @ NovartisEmail verificata su novartis.com
Ahmed HosnyMachine Learning @ Dana Farber Cancer InstituteEmail verificata su dfci.harvard.edu
Udo HoffmannProfessor of Radiology, Harvard University, Massachusetts General HospitalEmail verificata su mgh.harvard.edu
Regina Beets-TanProfessor of Radiology, Chairwoman of the Department of Radiology, The Netherlands Cancer Institute, Amsterdam, The Netherlands. GROW School for Oncology and Developmental Biology, Maastricht University, Maastricht, The Netherlands.Email verificata su nki.nl
Nicolai Juul BirkbakAssociate professor, Department of Molecular Medicine (MOMA), Aarhus UniversityEmail verificata su clin.au.dk
Stephen SF Yip, PhDJanssenEmail verificata su its.jnj.com
Elizabeth HuynhLondon Regional Cancer ProgramEmail verificata su lhsc.on.ca
Andrey FedorovRadiology, Brigham and Women's Hospital, Harvard Medical SchoolEmail verificata su bwh.harvard.edu
Michael T. Lu, MD, MPHCo-Director, MGH Cardiovascular Imaging Research Center; Asst Prof, Harvard Med SchoolEmail verificata su partners.org
Andrew H. BeckCo-Founder and CEO at PathAIEmail verificata su PathAI.com
Matthew B. Schabath, Ph.D.H. Lee Moffitt Cancer Center & Research InstituteEmail verificata su moffitt.org
Raymond HuangBrigham and Women's HospitalEmail verificata su bwh.harvard.edu

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Hugo Aerts

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

Email verificata su dfci.harvard.edu - Home page

Deep Learning Artificial Intelligence Bioinformatics Radiomics Radiogenomics


Titolo Ordina per citazioni Ordina per anno Ordina per titolo	Citata da Citata da	Anno
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	3433	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	3075	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	2037	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	1571	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	1569	2017
Artificial intelligence in radiology A Hosny, C Parmar, J Quackenbush, LH Schwartz, HJWL Aerts Nature Reviews Cancer 18 (8), 500-510, 2018	1301	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	1173	2017
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	867	2020
Machine learning methods for quantitative radiomic biomarkers C Parmar, P Grossmann, J Bussink, P Lambin, HJWL Aerts Scientific reports 5 (1), 1-11, 2015	749	2015
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	717	2017
Applications and limitations of radiomics SSF Yip, HJWL Aerts Physics in Medicine & Biology 61 (13), R150, 2016	711	2016
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	708	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	608	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	580	2019
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	481	2014
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	477	2013
Neoantigen-directed immune escape in lung cancer evolution R Rosenthal, EL Cadieux, R Salgado, MA Bakir, DA Moore, CT Hiley, ... Nature 567 (7749), 479-485, 2019	442	2019
Image biomarker standardisation initiative A Zwanenburg, S Leger, M Vallières, S Löck, contributors IBSI arXiv preprint arXiv:1612.07003, 2016	411	2016
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	393	2013
Radiomic feature clusters and prognostic signatures specific for lung and head & neck cancer C Parmar, RTH Leijenaar, P Grossmann, E Rios Velazquez, J Bussink, ... Scientific reports 5 (1), 1-10, 2015	392	2015

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