Emmanuel Rios Velazquez

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Citations	7989	7383
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Hugo AertsDirector AIM @ Harvard-BWH; DFCI; MGHVerified email at dfci.harvard.edu
Philippe LambinProfessor of Precision Medicine, Maastricht UniversityVerified email at maastrichtuniversity.nl
Ralph T.H. LeijenaarPostdoc at Maastricht University, Maastricht, the NetherlandsVerified email at maastrichtuniversity.nl
Andre DekkerProfessor of Clinical Data Science, MAASTRO Clinic, Maastricht University, GROW, Maastricht UMC+Verified email at maastro.nl
Chintan ParmarNovartis Institutes for Biomedical Research (Current) | Harvard-DFCI-BWH (Previous)Verified email at dfci.harvard.edu
Robert GilliesChair of Cancer Imaging and Metabolism, H. Lee Moffitt Cancer CenterVerified email at moffitt.org
Frank HoebersDepartment of Radiation Oncology (MAASTRO), Research Institute GROW, Maastricht UniversityVerified email at maastro.nl
Benjamin Haibe-KainsScientist (Principal Investigator), Princess Margaret Cancer Centre, University Health NetworkVerified email at uhnresearch.ca
Patrick GrossmannPh.D. Candidate conducting research at Harvard Medical School, Dana-Farber Cancer Institute, BWHVerified email at jimmy.harvard.edu
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 StiphoutPost-doctoral researcher, University of OxfordVerified email at ludwig.ox.ac.uk
Raymond H. MakAssociate Professor of Radiation Oncology, Brigham and Women's Hospital/Dana-Farber Cancer InstituteVerified email at lroc.harvard.edu
Wouter van ElmptMaastricht University Medical CentreVerified email at maastro.nl
Thibaud CorollerResearcher @ NovartisVerified email at novartis.com
Patrick V GrantonErasmusMC Cancer InstituteVerified email at erasmusmc.nl
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
giuseppina schiavoneimec-nlVerified email at imec-nl.nl
Chris Van HoofimecVerified email at imec.be
Sofie Van HoeckeAssociate professor, Ghent UniversityVerified email at ugent.be

Emmanuel Rios Velazquez

Researcher @ imec The Netherlands

Verified email at imec-nl.nl - Homepage

Data Science Machine Learning Wearables User Profiling Brain-Computer Interfaces


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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	2509	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	2070	2012
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	476	2015
Robust radiomics feature quantification using semiautomatic volumetric segmentation C Parmar, ER Velazquez, R Leijenaar, M Jermoumi, S Carvalho, RH Mak, ... PloS one 9 (7), e102107, 2014	355	2014
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, 2013	326	2013
Radiomic feature clusters and prognostic signatures specific for lung and head & neck cancer C Parmar, RTH Leijenaar, P Grossmann, ER Velazquez, J Bussink, ... Scientific reports 5 (1), 1-10, 2015	310	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	297	2013
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	175	2015
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	171	2013
Somatic mutations drive distinct imaging phenotypes in lung cancer ER Velazquez, C Parmar, Y Liu, TP Coroller, G Cruz, O Stringfield, Z Ye, ... Cancer research 77 (14), 3922-3930, 2017	170	2017
Volumetric CT-based segmentation of NSCLC using 3D-Slicer ER Velazquez, C Parmar, M Jermoumi, RH Mak, A Van Baardwijk, ... Scientific reports 3 (1), 1-7, 2013	153	2013
Defining the biological basis of radiomic phenotypes in lung cancer P Grossmann, O Stringfield, N El-Hachem, MM Bui, ER Velazquez, ... Elife 6, e23421, 2017	150	2017
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	129	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	103	2017
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	74	2012
Fully automatic GBM segmentation in the TCGA-GBM dataset: Prognosis and correlation with VASARI features ER Velazquez, R Meier, WD Dunn Jr, B Alexander, R Wiest, S Bauer, ... Scientific reports 5 (1), 1-10, 2015	72	2015
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, ...	64	2014
Data from NSCLC-radiomics H Aerts, ER Velazquez, RTH Leijenaar, C Parmar, P Grossmann, ... The cancer imaging archive, 2015	57	2015
Externally validated HPV-based prognostic nomogram for oropharyngeal carcinoma patients yields more accurate predictions than TNM staging ER Velazquez, F Hoebers, HJWL Aerts, MM Rietbergen, RH Brakenhoff, ... Radiotherapy and Oncology 113 (3), 324-330, 2014	56	2014
Development and validation of a nomogram for prediction of survival and local control in laryngeal carcinoma patients treated with radiotherapy alone: a cohort study based on … AGTM Egelmeer, ER Velazquez, JMA de Jong, C Oberije, Y Geussens, ... Radiotherapy and Oncology 100 (1), 108-115, 2011	55	2011

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