Emmanuel Rios Velazquez

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Hugo AertsDirector AI in Medicine (AIM) @ Harvard-MGB | Professor @ MaastrichtUVerified email at dfci.harvard.edu
Philippe LambinProfessor of Precision Medicine, Maastricht University & Scientist ULBVerified email at maastrichtuniversity.nl
Ralph T.H. LeijenaarPhDVerified email at maastrichtuniversity.nl
Andre DekkerProfessor of Clinical Data Science, MAASTRO Clinic, Maastricht University, GROW, Maastricht UMC+Verified email at maastro.nl
Robert GilliesChair of Cancer Physiology, H. Lee Moffitt Cancer CenterVerified email at moffitt.org
Chintan ParmarAstraZeneca (past: PathAI, Novartis, Harvard-DFCI-BWH, ISI-Kolkata, DAIICT)Verified email at astrazeneca.com
Frank HoebersRadiation Oncology (MAASTRO); Maastricht University; Brigham and Women's Hospital, Harvard MedicalVerified email at maastro.nl
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
John QuackenbushHarvard T.H. Chan School of Public Health, Channing Division of Network Medicine, and Dana-FarberVerified email at hsph.harvard.edu
Ruud G.P.M. van StiphoutPrincipal Data Scientist at imec within OnePlanet Research CenterVerified email at imec.nl
Raymond H. MakAssociate Professor of Radiation Oncology, Brigham and Women's Hospital/Dana-Farber Cancer InstituteVerified email at lroc.harvard.edu
Thibaud CorollerResearcher @ NovartisVerified email at novartis.com
Wouter van ElmptMaastricht University Medical CentreVerified email at maastro.nl
Patrick V GrantonErasmusMC Cancer InstituteVerified email at erasmusmc.nl
Giuseppina SchiavoneSAACVerified email at negrello.org
Ron KikinisB. Leonard Holman Professor of Radiology, Harvard Medical SchoolVerified email at bwh.harvard.edu
fiona fennessyBrigham and Women's Hospital. Dana-Farber Cancer InstituteVerified email at bwh.harvard.edu
Chris Van HoofimecVerified email at imec.be
Stephen SF Yip, PhDJohnson and JohnsonVerified email at its.jnj.com

Emmanuel Rios Velazquez

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

Verified email at imec.nl - Homepage

Data Science Machine Learning Wearables Digital Health Sensing technologies


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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	5345	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	4992	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	771	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	650	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	493	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	473	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	454	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	370	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	339	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	295	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	243	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 H Aerts, ER Velazquez, RT Leijenaar, C Parmar, P Grossmann, ... The cancer imaging archive, 2015	190	2015
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	177	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	169	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	152	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	129	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, ...	124	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, ...	109	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	102	2015

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