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Author Details

Emmanuel Rios Velazquez
Research Institute GROW, Maastricht University
2010
24
19
PMIDPaper TitleJournal TitlePublished Year
33684181Correction: Quantitative Computed Tomographic Descriptors Associate Tumor Shape Complexity and Intratumor Heterogeneity with Prognosis in Lung Adenocarcinoma.PLoS One2021
27688480Associations Between Somatic Mutations and Metabolic Imaging Phenotypes in Non-Small Cell Lung Cancer.J Nucl Med2017
28731408Defining the biological basis of radiomic phenotypes in lung cancer.Elife2017
28566328Somatic Mutations Drive Distinct Imaging Phenotypes in Lung Cancer.Cancer Res2017
28709696Corrigendum to "Externally validated HPV-based prognostic nomogram for oropharyngeal carcinoma patients yields more accurate predictions than TNM staging" [Radiother Oncol 113 (2014) 324-30].Radiother Oncol2017
27095578Implementation of a rapid learning platform: Predicting 2-year survival in laryngeal carcinoma patients in a clinical setting.Oncotarget2016
25746350CT-based radiomic signature predicts distant metastasis in lung adenocarcinoma.Radiother Oncol2015
26251068Radiomic feature clusters and prognostic signatures specific for Lung and Head & Neck cancer.Sci Rep2015
26576732Fully automatic GBM segmentation in the TCGA-GBM dataset: Prognosis and correlation with VASARI features.Sci Rep2015
25950384Different prognostic models for different patient populations: validation of a new prognostic model for patients with oropharyngeal cancer in Western Europe.Br J Cancer2015
25739030Quantitative computed tomographic descriptors associate tumor shape complexity and intratumor heterogeneity with prognosis in lung adenocarcinoma.PLoS One2015
25127693A let-7 microRNA polymorphism in the KRAS 3'-UTR is prognostic in oropharyngeal cancer.Cancer Epidemiol2014
25443497Externally validated HPV-based prognostic nomogram for oropharyngeal carcinoma patients yields more accurate predictions than TNM staging.Radiother Oncol2014
25025374Robust Radiomics feature quantification using semiautomatic volumetric segmentation.PLoS One2014
23165123Predicting outcomes in radiation oncology--multifactorial decision support systems.Nat Rev Clin Oncol2013
24346241Volumetric CT-based segmentation of NSCLC using 3D-Slicer.Sci Rep2013
24047338Prognostic value of metabolic metrics extracted from baseline positron emission tomography images in non-small cell lung cancer.Acta Oncol2013
24047337Stability of FDG-PET Radiomics features: an integrated analysis of test-retest and inter-observer variability.Acta Oncol2013
23993399'Rapid Learning health care in oncology' - an approach towards decision support systems enabling customised radiotherapy'.Radiother Oncol2013
23459617Automated Delineation of Lung Tumors from CT Images Using a Single Click Ensemble Segmentation Approach.Pattern Recognit2013
22257792Radiomics: extracting more information from medical images using advanced feature analysis.Eur J Cancer2012
23157978A semiautomatic CT-based ensemble segmentation of lung tumors: comparison with oncologists' delineations and with the surgical specimen.Radiother Oncol2012
21784544Development 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 994 patients.Radiother Oncol2011
20831492Prediction of residual metabolic activity after treatment in NSCLC patients.Acta Oncol2010
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Collaborators

Philippe Lambin
Maastricht University
Co-authored papers 20
Hugo J W L Aerts
Harvard Medical School
Co-authored papers 19
Andre Dekker
Maastricht University Medical Centre
Co-authored papers 10
Ralph T H Leijenaar
Maastricht University Medical Center (MUMC+)
Co-authored papers 8
Frank J P Hoebers
Maastricht University Medical Centre
Co-authored papers 6
Cary Oberije
Maastricht University Medical Centre
Co-authored papers 4
Wouter van Elmpt
Maastricht University Medical Center+
Co-authored papers 4
Benjamin Haibe-Kains
Princess Margaret Cancer Centre, University Health Network
Co-authored papers 4
Dirk De Ruysscher
Maastro Clinic
Co-authored papers 4
Charles R Leemans
Location Vrije Universiteit Amsterdam
Co-authored papers 4
Ruud H Brakenhoff
Vrije Universiteit Amsterdam
Co-authored papers 3
Ruud G P M van Stiphout
University of Oxford
Co-authored papers 3
Georgi Nalbantov
Department of Radiation Oncology (MAASTRO Clinic)
Co-authored papers 2
Ron Kikinis
Brigham and Women's Hospital, Harvard Medical School
Co-authored papers 2
Erik Roelofs
Maastricht University Medical Centre+
Co-authored papers 2
Esther G C Troost
German Cancer Research Center (DKFZ)
Co-authored papers 2
Vincenzo Valentini
Universita Cattolica del Sacro Cuore
Co-authored papers 2
Ronald Boellaard
Cancer Center Amsterdam, Vrije Universiteit Amsterdam
Co-authored papers 2
Maud H W Starmans
Ontario Institute for Cancer Research
Co-authored papers 1
Catharine M L West
University of Manchester
Co-authored papers 1
Johan Bussink
Radboud University, Nijmegen Medical Centre
Co-authored papers 1
John Quackenbush
Harvard T. H. Chan School of Public Health
Co-authored papers 1
Pierluigi Granone
Catholic University
Co-authored papers 1
Paul C Boutros
University of California los angeles
Co-authored papers 1
Nehme El-Hachem
Centre Hospitalier Universitaire Sainte-Justine Research Centre
Co-authored papers 1
Coen R N Rasch
Leiden University Medical Center
Co-authored papers 1
Adrian C Begg
The Netherlands Cancer Institute
Co-authored papers 1
John H Lewis
Cedars-Sinai Medical Center
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Release 1.2