Hugo Aerts

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173 件の論文

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Raymond H. MakAssociate Professor of Radiation Oncology, Brigham and Women's Hospital/Dana-Farber Cancer Institute確認したメールアドレス: lroc.harvard.edu
Andre DekkerProfessor of Clinical Data Science, MAASTRO Clinic, Maastricht University, GROW, Maastricht UMC+確認したメールアドレス: maastro.nl
Chintan ParmarAstraZeneca (past: PathAI, Novartis, Harvard-DFCI-BWH, ISI-Kolkata, DAIICT)確認したメールアドレス: astrazeneca.com
Emmanuel Rios VelazquezBusiness Development Manager | AI-Powered Lung Medical Image Analysis @Thirona確認したメールアドレス: thirona.eu
Benjamin Haibe-KainsScientist (Principal Investigator), Princess Margaret Cancer Centre, University Health Network確認したメールアドレス: uhnresearch.ca
Robert GilliesChair of Cancer Physiology, H. Lee Moffitt Cancer Center確認したメールアドレス: moffitt.org
Ahmed HosnyMachine Learning @ Dana Farber Cancer Institute確認したメールアドレス: dfci.harvard.edu
Patrick GrossmannPh.D. Candidate conducting research at Harvard Medical School, Dana-Farber Cancer Institute, BWH確認したメールアドレス: jimmy.harvard.edu
John QuackenbushHarvard T.H. Chan School of Public Health, Channing Division of Network Medicine, and Dana-Farber確認したメールアドレス: hsph.harvard.edu
Thibaud CorollerResearcher @ Novartis確認したメールアドレス: novartis.com
Udo HoffmannProfessor of Radiology, Harvard University, Massachusetts General Hospital確認したメールアドレス: mgh.harvard.edu
Nicolai Juul BirkbakProfessor, Department of Molecular Medicine (MOMA), Aarhus University確認したメールアドレス: clin.au.dk
Andrey FedorovRadiology, Brigham and Women's Hospital, Harvard Medical School確認したメールアドレス: bwh.harvard.edu
Michael T. Lu, MD, MPHAssociate Chair Imaging Science, MGH Radiology; Associate Professor, Harvard Medical School確認したメールアドレス: mgh.harvard.edu
Charles SwantonFrancis Crick Institute確認したメールアドレス: crick.ac.uk
Elizabeth HuynhLondon Regional Cancer Program確認したメールアドレス: lhsc.on.ca
Raymond HuangBrigham and Women's Hospital確認したメールアドレス: bwh.harvard.edu
Matthew B. Schabath, Ph.D.H. Lee Moffitt Cancer Center & Research Institute確認したメールアドレス: moffitt.org
Ron KikinisB. Leonard Holman Professor of Radiology, Harvard Medical School確認したメールアドレス: bwh.harvard.edu
Andrew H. BeckCo-Founder and CEO at PathAI確認したメールアドレス: PathAI.com

フォロー

Hugo Aerts

その他の名前Hugo JWL Aerts, HJWL Aerts, HJ Aerts

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

確認したメールアドレス: dfci.harvard.edu - ホームページ

Deep Learning Artificial Intelligence Bioinformatics Radiomics Radiogenomics


タイトル引用回数順公開年順タイトル順	引用先引用先	年
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	5679	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	5408	2017
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), 4006, 2014	5203	2014
Artificial intelligence in radiology A Hosny, C Parmar, J Quackenbush, LH Schwartz, HJWL Aerts Nature Reviews Cancer 18 (8), 500-510, 2018	3467	2018
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	2982	2020
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	2379	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	2371	2012
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	1850	2017
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	1638	2019
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	1296	2017
Applications and limitations of radiomics SSF Yip, HJWL Aerts Physics in Medicine & Biology 61 (13), R150, 2016	1240	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	1131	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	1066	2015
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	825	2019
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	797	2015
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	666	2014
The potential of radiomic-based phenotyping in precision medicine: a review HJWL Aerts JAMA oncology 2 (12), 1636-1642, 2016	642	2016
Radiomics strategies for risk assessment of tumour failure in head-and-neck cancer M Vallieres, E Kay-Rivest, LJ Perrin, X Liem, C Furstoss, HJWL Aerts, ... Scientific reports 7 (1), 10117, 2017	580	2017
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	580	2013
Deep learning predicts lung cancer treatment response from serial medical imaging Y Xu, A Hosny, R Zeleznik, C Parmar, T Coroller, I Franco, RH Mak, ... Clinical Cancer Research 25 (11), 3266-3275, 2019	578	2019

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