Chintan Parmar

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Hugo AertsDirector AI in Medicine (AIM) @ Harvard-MGB | Professor @ MaastrichtUAdresse e-mail validée de dfci.harvard.edu
Emmanuel Rios VelazquezBusiness Development Manager - Precision Health & Nutrition @imec - OnePlanet Research CenterAdresse e-mail validée de imec.nl
Philippe LambinProfessor of Precision Medicine, Maastricht University & Scientist ULBAdresse e-mail validée de maastrichtuniversity.nl
Patrick GrossmannPh.D. Candidate conducting research at Harvard Medical School, Dana-Farber Cancer Institute, BWHAdresse e-mail validée de jimmy.harvard.edu
Robert GilliesChair of Cancer Physiology, H. Lee Moffitt Cancer CenterAdresse e-mail validée de moffitt.org
Ralph T.H. LeijenaarPhDAdresse e-mail validée de maastrichtuniversity.nl
John QuackenbushHarvard T.H. Chan School of Public Health, Channing Division of Network Medicine, and Dana-FarberAdresse e-mail validée de hsph.harvard.edu
Benjamin Haibe-KainsScientist (Principal Investigator), Princess Margaret Cancer Centre, University Health NetworkAdresse e-mail validée de uhnresearch.ca
Ahmed HosnyMachine Learning @ Dana Farber Cancer InstituteAdresse e-mail validée de dfci.harvard.edu
Raymond H. MakAssociate Professor of Radiation Oncology, Brigham and Women's Hospital/Dana-Farber Cancer InstituteAdresse e-mail validée de lroc.harvard.edu
Andre DekkerProfessor of Clinical Data Science, MAASTRO Clinic, Maastricht University, GROW, Maastricht UMC+Adresse e-mail validée de maastro.nl
Thibaud CorollerResearcher @ NovartisAdresse e-mail validée de novartis.com
Frank HoebersRadiation Oncology (MAASTRO); Maastricht University; Brigham and Women's Hospital, Harvard MedicalAdresse e-mail validée de maastro.nl
Andrey FedorovRadiology, Brigham and Women's Hospital, Harvard Medical SchoolAdresse e-mail validée de bwh.harvard.edu
Elizabeth HuynhLondon Regional Cancer ProgramAdresse e-mail validée de lhsc.on.ca
Stephen SF Yip, PhDJohnson and JohnsonAdresse e-mail validée de its.jnj.com
Wouter van ElmptMaastricht University Medical CentreAdresse e-mail validée de maastro.nl
Sushmita MitraProfessor, Machine Intelligence Unit, Indian Statistical Institute, KolkataAdresse e-mail validée de isical.ac.in
G. Mike MakrigiorgosProfessor of Radiation Oncology, Dana Farber Cancer Institute, Harvard Medical SchoolAdresse e-mail validée de dfci.harvard.edu
Manjunath V. JoshiProfessor, Dhirubhai Ambani Institute of Information and Communication TechnologyAdresse e-mail validée de daiict.ac.in

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Chintan Parmar

AstraZeneca (past: PathAI, Novartis, Harvard-DFCI-BWH, ISI-Kolkata, DAIICT)

Adresse e-mail validée de astrazeneca.com - Page d'accueil

Artificial Intelligence Biomedical Informatics Oncology Data Science Computational Imaging


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
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	5162	2017
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	5090	2014
Artificial intelligence in radiology A Hosny, C Parmar, J Quackenbush, LH Schwartz, HJWL Aerts Nature Reviews Cancer 18 (8), 500-510, 2018	3288	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	1047	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	658	2014
Deep learning predicts lung cancer treatment response from serial medical imaging Y Xu, A Hosny, R Zeleznik, C Parmar, T Coroller, I Franco, RH Mak, ... Clinical Cancer Research 25 (11), 3266-3275, 2019	550	2019
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	532	2018
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	498	2015
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	481	2019
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	476	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	407	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	401	2015
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	376	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	345	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	286	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), 3529, 2013	247	2013
Data from NSCLC-radiomics H Aerts, ER Velazquez, RT Leijenaar, C Parmar, P Grossmann, ... The cancer imaging archive, 2015	195	2015
Deep convolutional neural networks to predict cardiovascular risk from computed tomography R Zeleznik, B Foldyna, P Eslami, J Weiss, I Alexander, J Taron, C Parmar, ... Nature communications 12 (1), 715, 2021	182	2021
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	170	2017
Data analysis strategies in medical imaging C Parmar, JD Barry, A Hosny, J Quackenbush, HJWL Aerts Clinical cancer research 24 (15), 3492-3499, 2018	166	2018

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