Emmanuel Rios Velazquez

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Hugo AertsDirector AI in Medicine (AIM) @ Harvard-MGB | Professor @ MaastrichtUDirección de correo verificada de dfci.harvard.edu
Philippe LambinProfessor of Precision Medicine, Maastricht University & Scientist ULBDirección de correo verificada de maastrichtuniversity.nl
Ralph T.H. LeijenaarPhDDirección de correo verificada de maastrichtuniversity.nl
Andre DekkerProfessor of Clinical Data Science, MAASTRO Clinic, Maastricht University, GROW, Maastricht UMC+Dirección de correo verificada de maastro.nl
Robert GilliesChair of Cancer Physiology, H. Lee Moffitt Cancer CenterDirección de correo verificada de moffitt.org
Chintan ParmarAstraZeneca (past: PathAI, Novartis, Harvard-DFCI-BWH, ISI-Kolkata, DAIICT)Dirección de correo verificada de astrazeneca.com
Frank HoebersRadiation Oncology (MAASTRO); Maastricht University; Brigham and Women's Hospital, Harvard MedicalDirección de correo verificada de maastro.nl
Patrick GrossmannPh.D. Candidate conducting research at Harvard Medical School, Dana-Farber Cancer Institute, BWHDirección de correo verificada de jimmy.harvard.edu
Benjamin Haibe-KainsScientist (Principal Investigator), Princess Margaret Cancer Centre, University Health NetworkDirección de correo verificada de uhnresearch.ca
John QuackenbushHarvard T.H. Chan School of Public Health, Channing Division of Network Medicine, and Dana-FarberDirección de correo verificada de hsph.harvard.edu
Ruud G.P.M. van StiphoutPrincipal Data Scientist at imec within OnePlanet Research CenterDirección de correo verificada de imec.nl
Raymond H. MakAssociate Professor of Radiation Oncology, Brigham and Women's Hospital/Dana-Farber Cancer InstituteDirección de correo verificada de lroc.harvard.edu
Thibaud CorollerResearcher @ NovartisDirección de correo verificada de novartis.com
Wouter van ElmptMaastricht University Medical CentreDirección de correo verificada de maastro.nl
Patrick V GrantonErasmusMC Cancer InstituteDirección de correo verificada de erasmusmc.nl
Giuseppina SchiavoneSAACDirección de correo verificada de negrello.org
Ron KikinisB. Leonard Holman Professor of Radiology, Harvard Medical SchoolDirección de correo verificada de bwh.harvard.edu
fiona fennessyBrigham and Women's Hospital. Dana-Farber Cancer InstituteDirección de correo verificada de bwh.harvard.edu
Chris Van HoofimecDirección de correo verificada de imec.be
Stephen SF Yip, PhDJohnson and JohnsonDirección de correo verificada de its.jnj.com

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Emmanuel Rios Velazquez

Business Development Manager - Precision Health & Nutrition @imec - OnePlanet Research Center

Dirección de correo verificada de imec.nl - Página principal

Data Science Machine Learning Wearables Digital Health Sensing technologies


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
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	5526	2012
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	5101	2014
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	788	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	660	2014
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), 11044, 2015	499	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	478	2013
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	459	2013
Somatic mutations drive distinct imaging phenotypes in lung cancer E Rios Velazquez, C Parmar, Y Liu, TP Coroller, G Cruz, O Stringfield, ... Cancer research 77 (14), 3922-3930, 2017	376	2017
Defining the biological basis of radiomic phenotypes in lung cancer P Grossmann, O Stringfield, N El-Hachem, MM Bui, E Rios Velazquez, ... elife 6, e23421, 2017	350	2017
Quantitative computed tomographic descriptors associate tumor shape complexity and intratumor heterogeneity with prognosis in lung adenocarcinoma O Grove, AE Berglund, MB Schabath, HJWL Aerts, A Dekker, H Wang, ... PloS one 10 (3), e0118261, 2015	297	2015
Volumetric CT-based segmentation of NSCLC using 3D-Slicer ER Velazquez, C Parmar, M Jermoumi, RH Mak, A Van Baardwijk, ... Scientific reports 3 (1), 3529, 2013	248	2013
Rapid Learning health care in oncology’–an approach towards decision support systems enabling customised radiotherapy P Lambin, E Roelofs, B Reymen, ER Velazquez, J Buijsen, CML Zegers, ... Radiotherapy and Oncology 109 (1), 159-164, 2013	222	2013
Data from NSCLC-radiomics HJWL Aerts, L Wee, E Rios Velazquez, RTH Leijenaar, C Parmar, ... (No Title), 2019	195	2019
Automated delineation of lung tumors from CT images using a single click ensemble segmentation approach Y Gu, V Kumar, LO Hall, DB Goldgof, CY Li, R Korn, C Bendtsen, ... Pattern recognition 46 (3), 692-702, 2013	178	2013
Associations between somatic mutations and metabolic imaging phenotypes in non–small cell lung cancer SSF Yip, J Kim, TP Coroller, C Parmar, ER Velazquez, E Huynh, RH Mak, ... Journal of Nuclear Medicine 58 (4), 569-576, 2017	171	2017
Large-scale wearable data reveal digital phenotypes for daily-life stress detection E Smets, E Rios Velazquez, G Schiavone, I Chakroun, E D’Hondt, ... NPJ digital medicine 1 (1), 67, 2018	157	2018
A semiautomatic CT-based ensemble segmentation of lung tumors: comparison with oncologists’ delineations and with the surgical specimen ER Velazquez, HJWL Aerts, Y Gu, DB Goldgof, D De Ruysscher, ... Radiotherapy and Oncology 105 (2), 167-173, 2012	130	2012
Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach. Nat Commun. 2014; 5: 4006 HJ Aerts, ER Velazquez, RT Leijenaar, C Parmar, P Grossmann, ...	127	2014
Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach. Nat Commun 5: 4006 HJ Aerts, ER Velazquez, RT Leijenaar, C Parmar, P Grossmann, ...	113	2014
Fully automatic GBM segmentation in the TCGA-GBM dataset: Prognosis and correlation with VASARI features E Rios Velazquez, R Meier, WD Dunn Jr, B Alexander, R Wiest, S Bauer, ... Scientific reports 5 (1), 16822, 2015	103	2015

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