Emmanuel Rios Velazquez

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Hugo AertsProfessor @ Harvard | Director, AI in Medicine (AIM) @ 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
Ruud G.P.M. van StiphoutPrincipal Data Scientist at imec within OnePlanet Research CenterVerified email at imec.nl
John QuackenbushHarvard T.H. Chan School of Public Health, Channing Division of Network Medicine, and Dana-FarberVerified email at hsph.harvard.edu
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 | AI-Powered Lung Medical Image Analysis @Thirona

Verified email at thirona.eu - Homepage

Health AI Quantitative Medical Imaging Digital Health MedTech


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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	5734	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	5237	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	801	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	663	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	506	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	475	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	457	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	384	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	358	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	318	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	249	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	227	2013
Data from NSCLC-radiomics HJWL Aerts, L Wee, E Rios Velazquez, RTH Leijenaar, C Parmar, ... (No Title), 2019	208	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	183	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	175	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	169	2018
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, ...	133	2014
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	133	2012
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, ...	123	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	106	2015

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