Chintan Parmar

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Hugo AertsDirector AI in Medicine (AIM) @ Harvard-MGB | Professor @ MaastrichtUVerified email at dfci.harvard.edu
Emmanuel Rios VelazquezManaging Data Scientist Health and Life Sciences - AI & Analytics @ CognizantVerified email at cognizant.com
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 Physiology, H. Lee Moffitt Cancer CenterVerified email at moffitt.org
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
Andre DekkerProfessor of Clinical Data Science, MAASTRO Clinic, Maastricht University, GROW, Maastricht UMC+Verified email at maastro.nl
Raymond H. MakAssociate Professor of Radiation Oncology, Brigham and Women's Hospital/Dana-Farber Cancer InstituteVerified email at lroc.harvard.edu
Ahmed HosnyMachine Learning @ Dana Farber Cancer InstituteVerified email at dfci.harvard.edu
Frank HoebersDepartment of Radiation Oncology (MAASTRO), Research Institute GROW, Maastricht UniversityVerified email at maastro.nl
Thibaud CorollerResearcher @ NovartisVerified email at novartis.com
Andrey FedorovRadiology, Brigham and Women's Hospital, Harvard Medical SchoolVerified email at bwh.harvard.edu
Elizabeth HuynhLondon Regional Cancer ProgramVerified email at lhsc.on.ca
Stephen SF Yip, PhDJanssenVerified email at its.jnj.com
Wouter van ElmptMaastricht University Medical CentreVerified email at maastro.nl
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 Gajanan PadalkarPostdoc, PAVIS, Istituto Italiano di Tecnologia, Genova, ItalyVerified email at iit.it

Chintan Parmar

PathAI (Current) | [Novartis, Harvard-DFCI-BWH, ISI-Kolkata] (Previous)

Verified email at dfci.harvard.edu - Homepage

Artificial Intelligence Biomedical Informatics Oncology Data Science Medical Image Analysis


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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	3522	2014
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	2164	2017
Artificial intelligence in radiology A Hosny, C Parmar, J Quackenbush, LH Schwartz, HJWL Aerts Nature Reviews Cancer 18 (8), 500-510, 2018	1359	2018
Machine learning methods for quantitative radiomic biomarkers C Parmar, P Grossmann, J Bussink, P Lambin, HJWL Aerts Scientific reports 5 (1), 1-11, 2015	759	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	490	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), 1-10, 2015	398	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	390	2013
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	313	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	312	2015
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	298	2018
Somatic Mutations Drive Distinct Imaging Phenotypes in Lung CancerSomatic Mutations and Radiomic Phenotypes E Rios Velazquez, C Parmar, Y Liu, TP Coroller, G Cruz, O Stringfield, ... Cancer research 77 (14), 3922-3930, 2017	250	2017
Deep Learning Predicts Lung Cancer Treatment Response from Serial Medical ImagingLongitudinal Deep Learning to Track Treatment Response Y Xu, A Hosny, R Zeleznik, C Parmar, T Coroller, I Franco, RH Mak, ... Clinical Cancer Research 25 (11), 3266-3275, 2019	239	2019
Predicting response to cancer immunotherapy using noninvasive radiomic biomarkers S Trebeschi, SG Drago, NJ Birkbak, I Kurilova, AM Cǎlin, AD Pizzi, ... Annals of Oncology 30 (6), 998-1004, 2019	234	2019
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	226	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	185*	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	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	132	2017
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, ...	108	2021
Data Analysis Strategies in Medical ImagingData Science Designs in Medical Imaging C Parmar, JD Barry, A Hosny, J Quackenbush, HJWL Aerts Clinical cancer research 24 (15), 3492-3499, 2018	96	2018
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	88	2017

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