Ralph T.H. Leijenaar

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	전체	2020년 이후
서지정보	27354	20963
h-index	47	45
i10-index	77	72

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Philippe LambinProfessor of Precision Medicine, Maastricht University & Scientist ULBmaastrichtuniversity.nl의 이메일 확인됨
Hugo AertsDirector AI in Medicine (AIM) @ Harvard-MGB | Professor @ MaastrichtUdfci.harvard.edu의 이메일 확인됨
Wouter van ElmptMaastricht University Medical Centremaastro.nl의 이메일 확인됨
Emmanuel Rios VelazquezBusiness Development Manager | AI-Powered Lung Medical Image Analysis @Thironathirona.eu의 이메일 확인됨
Andre DekkerProfessor of Clinical Data Science, MAASTRO Clinic, Maastricht University, GROW, Maastricht UMC+maastro.nl의 이메일 확인됨
Frank HoebersRadiation Oncology (MAASTRO); Maastricht University; Brigham and Women's Hospital, Harvard Medicalmaastro.nl의 이메일 확인됨
Sean WalshRadiomics - Insight-based decision makingradiomics.bio의 이메일 확인됨
Henry C WoodruffThe D-Lab, Department of Precision Medicine, Maastricht Universitymaastrichtuniversity.nl의 이메일 확인됨
Janita van TimmerenRadboudumcradboudumc.nl의 이메일 확인됨
Robert GilliesChair of Cancer Physiology, H. Lee Moffitt Cancer Centermoffitt.org의 이메일 확인됨
Sara João CarvalhoBiostatistician @ Health iQmedschl.cam.ac.uk의 이메일 확인됨
Chintan ParmarAstraZeneca (past: PathAI, Novartis, Harvard-DFCI-BWH, ISI-Kolkata, DAIICT)astrazeneca.com의 이메일 확인됨
Benjamin Haibe-KainsScientist (Principal Investigator), Princess Margaret Cancer Centre, University Health Networkuhnresearch.ca의 이메일 확인됨
Patrick GrossmannPh.D. Candidate conducting research at Harvard Medical School, Dana-Farber Cancer Institute, BWHjimmy.harvard.edu의 이메일 확인됨
Esther TroostResident in Radiation Oncologyuniklinikum-dresden.de의 이메일 확인됨
Evelyn De JongPhD studentmaastrichtuniversity.nl의 이메일 확인됨
Ruud G.P.M. van StiphoutPrincipal Data Scientist at imec within OnePlanet Research Centerimec.nl의 이메일 확인됨
John QuackenbushHarvard T.H. Chan School of Public Health, Channing Division of Network Medicine, and Dana-Farberhsph.harvard.edu의 이메일 확인됨
Catharina M.L. ZegersDepartment of Radiation Oncology (MAASTRO), GROW – Research Institute for Oncology and Reproductionmaastro.nl의 이메일 확인됨
Ronald BoellaardProfessor Clinical Physics of Positron Emission Tomography, VUmc, Amsterdamvumc.nl의 이메일 확인됨

팔로우

Ralph T.H. Leijenaar

PhD

maastrichtuniversity.nl의 이메일 확인됨

Radiomics advanced medical image analysis artificial intelligence / machine learning data science


제목 서지정보순 정렬 연도순 정렬 제목순 정렬	인용 인용	연도
Radiomics: extracting more information from medical images using advanced feature analysis P Lambin, E Rios-Velazquez, R Leijenaar, S Carvalho, ... European journal of cancer 48 (4), 441-446, 2012	5690	2012
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	5219	2014
Radiomics: the bridge between medical imaging and personalized medicine P Lambin, RTH Leijenaar, TM Deist, J Peerlings, EEC De Jong, ... Nature reviews Clinical oncology 14 (12), 749-762, 2017	4685	2017
The image biomarker standardization initiative: standardized quantitative radiomics for high-throughput image-based phenotyping A Zwanenburg, M Vallières, MA Abdalah, HJWL Aerts, V Andrearczyk, ... Radiology 295 (2), 328-338, 2020	3004	2020
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	796	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	666	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), 11044, 2015	504	2015
The effect of SUV discretization in quantitative FDG-PET Radiomics: the need for standardized methodology in tumor texture analysis RTH Leijenaar, G Nalbantov, S Carvalho, WJ Van Elmpt, EGC Troost, ... Scientific reports 5 (1), 11075, 2015	482	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	481	2013
Image biomarker standardisation initiative A Zwanenburg, S Leger, M Vallières, S Löck arXiv preprint arXiv:1612.07003, 2016	472	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	357	2017
Influence of gray level discretization on radiomic feature stability for different CT scanners, tube currents and slice thicknesses: a comprehensive phantom study RTHM Larue, JE van Timmeren, EEC de Jong, G Feliciani, RTH Leijenaar, ... Acta oncologica 56 (11), 1544-1553, 2017	262	2017
External validation of a prognostic CT-based radiomic signature in oropharyngeal squamous cell carcinoma RTH Leijenaar, S Carvalho, FJP Hoebers, HJWL Aerts, WJC Van Elmpt, ... Acta oncologica 54 (9), 1423-1429, 2015	239	2015
Rapid Learning health care in oncology’–an approach towards decision support systems enabling customised radiotherapy P Lambin, E Roelofs, B Reymen, ER Velazquez, J Buijsen, CML Zegers, ... Radiotherapy and Oncology 109 (1), 159-164, 2013	224	2013
A review in radiomics: making personalized medicine a reality via routine imaging J Guiot, A Vaidyanathan, L Deprez, F Zerka, D Danthine, AN Frix, ... Medicinal research reviews 42 (1), 426-440, 2022	217	2022
Data from NSCLC-radiomics HJWL Aerts, L Wee, E Rios Velazquez, RTH Leijenaar, C Parmar, ... (No Title), 2019	199	2019
Survival prediction of non-small cell lung cancer patients using radiomics analyses of cone-beam CT images JE van Timmeren, RTH Leijenaar, W van Elmpt, B Reymen, C Oberije, ... Radiotherapy and Oncology 123 (3), 363-369, 2017	190	2017
Test–retest data for radiomics feature stability analysis: generalizable or study-specific? JE van Timmeren, RTH Leijenaar, W van Elmpt, J Wang, Z Zhang, ... Tomography 2 (4), 361, 2016	186	2016
Decision support systems for personalized and participative radiation oncology P Lambin, J Zindler, BGL Vanneste, L Van De Voorde, D Eekers, ... Advanced drug delivery reviews 109, 131-153, 2017	163	2017
Development and validation of a radiomic signature to predict HPV (p16) status from standard CT imaging: a multicenter study RTH Leijenaar, M Bogowicz, A Jochems, FJP Hoebers, FWR Wesseling, ... The British journal of radiology 91 (1086), 20170498, 2018	148	2018

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