Chintan Parmar - Google Scholar Citations

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	All	Since 2014
Citations	3951	3939
h-index	20	20
i10-index	27	26

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20142015201620172018201919 146 354 654 1137 1587

Co-authors

Hugo AertsDirector / Associate Professor at Harvard-DFCIVerified email at dfci.harvard.edu
Emmanuel Rios VelazquezResearcher @ imec The NetherlandsVerified email at imec-nl.nl
Philippe LambinProfessor of Precision Medicine, Maastricht UniversityVerified email at maastrichtuniversity.nl
Patrick GrossmannPh.D. Candidate conducting research at Harvard Medical School, Dana-Farber Cancer Institute, BWHVerified email at jimmy.harvard.edu
Robert GilliesChair of Cancer Imaging and Metabolism, H. Lee Moffitt Cancer CenterVerified email at moffitt.org
Ralph T.H. LeijenaarPostdoc at Maastricht University, Maastricht, the NetherlandsVerified email at maastrichtuniversity.nl
John QuackenbushHarvard T.H. Chan School of Public Health, Channing Division of Network Medicine, and Dana-FarberVerified email at hsph.harvard.edu
Benjamin Haibe-KainsScientist (Principal Investigator), Princess Margaret Cancer Centre, University Health NetworkVerified email at uhnresearch.ca
Raymond H. MakAssociate Professor of Radiation Oncology, Brigham and Women's Hospital/Dana-Farber Cancer InstituteVerified email at lroc.harvard.edu
Andre DekkerProfessor of Clinical Data Science, MAASTRO Clinic, Maastricht University, GROW, Maastricht UMC+Verified email at maastro.nl
Thibaud CorollerResearcher @ NovartisVerified email at novartis.com
Frank HoebersDepartment of Radiation Oncology (MAASTRO), Research Institute GROW, Maastricht UniversityVerified email at maastro.nl
Ahmed HosnyMachine Learning @ Dana Farber Cancer InstituteVerified email at dfci.harvard.edu
Elizabeth HuynhHarvard Medical SchoolVerified email at lroc.harvard.edu
Wouter van ElmptMaastricht University Medical CentreVerified email at maastro.nl
Andrey FedorovRadiology, Brigham and Women's Hospital, Harvard Medical SchoolVerified email at bwh.harvard.edu
Sushmita MitraProfessor, Machine Intelligence Unit, Indian Statistical Institute, KolkataVerified email at isical.ac.in
G. Mike MakrigiorgosProfessor of Radiation Oncology, Dana Farber Cancer Institute, Harvard Medical SchoolVerified email at dfci.harvard.edu
Manjunath V. JoshiProfessor, Dhirubhai Ambani Institute of Information and Communication TechnologyVerified email at daiict.ac.in
Milind G. PadalkarPostdoc, PAVIS, Istituto Italiano di Tecnologia, Genova, ItalyVerified email at iit.it

Chintan Parmar

Novartis Institutes for Biomedical Research (Current) | Harvard-DFCI-BWH (Previous)

Verified email at dfci.harvard.edu

Artificial Intelligence Biomedical Informatics Data Science Medical Image Analysis


Title	Cited by	Year
Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach HJWL Aerts, ER Velazquez, RTH Leijenaar, C Parmar, P Grossmann, ... Nature communications 5, 4006, 2014	1590	2014
Machine learning methods for quantitative radiomic biomarkers C Parmar, P Grossmann, J Bussink, P Lambin, HJWL Aerts Scientific reports 5, 13087, 2015	304	2015
Computational radiomics system to decode the radiographic phenotype JJM Van Griethuysen, A Fedorov, C Parmar, A Hosny, N Aucoin, ... Cancer research 77 (21), e104-e107, 2017	295	2017
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	227	2014
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	222	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, 11044, 2015	220	2015
Artificial intelligence in radiology A Hosny, C Parmar, J Quackenbush, LH Schwartz, HJWL Aerts Nature Reviews Cancer 18 (8), 500-510, 2018	127	2018
Exploratory study to identify radiomics classifiers for lung cancer histology W Wu, C Parmar, P Grossmann, J Quackenbush, P Lambin, J Bussink, ... Frontiers in oncology 6, 71, 2016	124	2016
Radiomic machine-learning classifiers for prognostic biomarkers of head and neck cancer C Parmar, P Grossmann, D Rietveld, MM Rietbergen, P Lambin, ... Frontiers in oncology 5, 272, 2015	123	2015
Volumetric CT-based segmentation of NSCLC using 3D-Slicer ER Velazquez, C Parmar, M Jermoumi, RH Mak, A Van Baardwijk, ... Scientific reports 3, 3529, 2013	107	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	87	2017
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	71	2017
Deep Learning for Fully-Automated Localization and Segmentation of Rectal Cancer on Multiparametric MR HJWLA Stefano Trebeschi, Joost JM van Griethuysen, Doenja MJ Lambregts, Max ... Scientific Reports 7 (1), 5301, 2017	69	2017
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	55	2017
Associations of radiomic data extracted from static and respiratory-gated CT scans with disease recurrence in lung cancer patients treated with SBRT E Huynh, TP Coroller, V Narayan, V Agrawal, J Romano, I Franco, ... PLoS One 12 (1), e0169172, 2017	36	2017
Prognostic value of metabolic metrics extracted from baseline positron emission tomography images in non-small cell lung cancer S Carvalho, RTH Leijenaar, ER Velazquez, C Oberije, C Parmar, ... Acta Oncologica 52 (7), 1398-1404, 2013	35	2013
Data from NSCLC-radiomics H Aerts, E Rios Velazquez, RTH Leijenaar, C Parmar, P Grossmann, ... The cancer imaging archive, 2015	33	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, ... Epub 2014/06/04. PubMed PubMedCentral, 2014	33	2014
Deep learning for lung cancer prognostication: A retrospective multi-cohort radiomics study A Hosny, C Parmar, TP Coroller, P Grossmann, R Zeleznik, A Kumar, ... PLoS medicine 15 (11), e1002711, 2018	30	2018
Radiographic prediction of meningioma grade by semantic and radiomic features TP Coroller, WL Bi, E Huynh, M Abedalthagafi, AA Aizer, NF Greenwald, ... PloS one 12 (11), e0187908, 2017	25	2017

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