Patrick Grossmann

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Hugo AertsDirector AI in Medicine (AIM) @ Harvard-MGB | Professor @ MaastrichtUVerified email at dfci.harvard.edu
Chintan ParmarAstraZeneca (past: PathAI, Novartis, Harvard-DFCI-BWH, ISI-Kolkata, DAIICT)Verified email at astrazeneca.com
Philippe LambinProfessor of Precision Medicine, Maastricht University & Scientist ULBVerified email at maastrichtuniversity.nl
Benjamin Haibe-KainsScientist (Principal Investigator), Princess Margaret Cancer Centre, University Health NetworkVerified email at uhnresearch.ca
Emmanuel Rios VelazquezBusiness Development Manager - Precision Health & Nutrition @imec - OnePlanet Research CenterVerified email at imec.nl
Ralph T.H. LeijenaarPhDVerified email at maastrichtuniversity.nl
Robert GilliesChair of Cancer Physiology, H. Lee Moffitt Cancer CenterVerified email at moffitt.org
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
Thibaud CorollerResearcher @ NovartisVerified email at novartis.com
David GutmanAssistant Professor of Neurology, Psychiatry, Biomedical Informatics, Emory UniversityVerified email at emory.edu
Martin FischerLeibniz Institute on Aging - FLI /previous: Harvard-DFCI; Leipzig UniversityVerified email at leibniz-fli.de
Petr SmirnovPostdoctoral Fellow, EMBLVerified email at embl.de
Anna GoldenbergScientist, SickKids Research Institute; Assistant Professor Department of Computer Science, University of TorontoVerified email at utoronto.ca
Andrew H. BeckCo-Founder and CEO at PathAIVerified email at PathAI.com
Deena M.A. GendooAssociate Professor in Computational Biology, University of BirminghamVerified email at bham.ac.uk
Hyunsuk ShimRadiation Oncology, Emory UniversityVerified email at emory.edu

Patrick Grossmann

Ph.D. Candidate conducting research at Harvard Medical School, Dana-Farber Cancer Institute, BWH

Verified email at jimmy.harvard.edu - Homepage

Radiomics Bioinformatics Data Analysis Machine Learning Biomedicine


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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), 4006, 2014	5003	2014
Machine learning methods for quantitative radiomic biomarkers C Parmar, P Grossmann, J Bussink, P Lambin, HJWL Aerts Scientific reports 5 (1), 1-11, 2015	1031	2015
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	773	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	523	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	494	2015
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	403	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	399	2015
Radiomic phenotype features predict pathological response in non-small cell lung cancer TP Coroller, V Agrawal, V Narayan, Y Hou, P Grossmann, SW Lee, ... Radiotherapy and oncology 119 (3), 480-486, 2016	342	2016
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	339	2017
Integration of TP53, DREAM, MMB-FOXM1 and RB-E2F target gene analyses identifies cell cycle gene regulatory networks M Fischer, P Grossmann, M Padi, JA DeCaprio Nucleic Acids Research, gkw523, 2016	330	2016
PharmacoGx: an R package for analysis of large pharmacogenomic datasets BHK Petr Smirnov, Zhaleh Safikhani, Nehme El-Hachem, Dong Wang, Adrian She ... Bioinformatics 32 (8), 1244-1246, 2015	273*	2015
Defining a radiomic response phenotype: a pilot study using targeted therapy in NSCLC HJWL Aerts, P Grossmann, Y Tan, GR Oxnard, N Rizvi, LH Schwartz, ... Scientific reports 6 (1), 33860, 2016	230	2016
Data from NSCLC-radiomics H Aerts, ER Velazquez, RT Leijenaar, C Parmar, P Grossmann, ... The cancer imaging archive, 2015	190	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, ...	124	2014
Somatic mutations associated with MRI-derived volumetric features in glioblastoma DA Gutman, WD Dunn, P Grossmann, LAD Cooper, CA Holder, KL Ligon, ... Neuroradiology 57, 1227-1237, 2015	117	2015
Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach. Nat Commun 5: 4006 HJ Aerts, ER Velazquez, RT Leijenaar, C Parmar, P Grossmann, ...	109	2014
Quantitative imaging biomarkers for risk stratification of patients with recurrent glioblastoma treated with bevacizumab P Grossmann, V Narayan, K Chang, R Rahman, L Abrey, DA Reardon, ... Neuro-oncology 19 (12), 1688-1697, 2017	104	2017
Imaging-genomics reveals driving pathways of MRI derived volumetric tumor phenotype features in Glioblastoma P Grossmann, DA Gutman, WD Dunn, CA Holder, HJWL Aerts BMC cancer 16, 1-10, 2016	85	2016
Characterization of Conserved Toxicogenomic Responses in Chemically Exposed Hepatocytes across Species and Platforms N El-Hachem, P Grossmann, A Blanchet-Cohen, AR Bateman, ... Environmental Health Perspectives 124 (3), 2016	18	2016
Recurrent hormone-binding domain truncated ESR1 amplifications in primary endometrial cancers suggest their implication in hormone independent growth F Holst, EA Hoivik, WJ Gibson, A Taylor-Weiner, SE Schumacher, ... Scientific reports 6 (1), 25521, 2016	17	2016

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