Ralph T.H. Leijenaar

Dikutip oleh

	Semua	Sejak 2020
Kutipan	27577	21166
indeks-h	47	46
indeks-i10	76	71

4500

2250

1125

3375

20142015201620172018201920202021202220232024202579 251 634 1010 1736 2442 3092 4126 4452 4281 4306 884

Akses publik

Lihat semua

58 artikel

3 artikel

tersedia

tidak tersedia

Berdasarkan pada mandat pendanaan

Pengarang bersama

Philippe LambinProfessor of Precision Medicine, Maastricht University & Scientist ULBEmail yang diverifikasi di maastrichtuniversity.nl
Hugo AertsDirector AI in Medicine (AIM) @ Harvard-MGB | Professor @ MaastrichtUEmail yang diverifikasi di dfci.harvard.edu
Wouter van ElmptMaastricht University Medical CentreEmail yang diverifikasi di maastro.nl
Emmanuel Rios VelazquezBusiness Development Manager | AI-Powered Lung Medical Image Analysis @ThironaEmail yang diverifikasi di thirona.eu
Andre DekkerProfessor of Clinical Data Science, MAASTRO Clinic, Maastricht University, GROW, Maastricht UMC+Email yang diverifikasi di maastro.nl
Sean WalshRadiomics - Insight-based decision makingEmail yang diverifikasi di radiomics.bio
Frank HoebersRadiation Oncology (MAASTRO); Maastricht University; Brigham and Women's Hospital, Harvard MedicalEmail yang diverifikasi di maastro.nl
Henry C WoodruffThe D-Lab, Department of Precision Medicine, Maastricht UniversityEmail yang diverifikasi di maastrichtuniversity.nl
Janita van TimmerenRadboudumcEmail yang diverifikasi di radboudumc.nl
Sara João CarvalhoBiostatistician @ Health iQEmail yang diverifikasi di medschl.cam.ac.uk
Robert GilliesChair of Cancer Physiology, H. Lee Moffitt Cancer CenterEmail yang diverifikasi di moffitt.org
Chintan ParmarAstraZeneca (past: PathAI, Novartis, Harvard-DFCI-BWH, ISI-Kolkata, DAIICT)Email yang diverifikasi di astrazeneca.com
Benjamin Haibe-KainsScientist (Principal Investigator), Princess Margaret Cancer Centre, University Health NetworkEmail yang diverifikasi di uhnresearch.ca
Patrick GrossmannPh.D. Candidate conducting research at Harvard Medical School, Dana-Farber Cancer Institute, BWHEmail yang diverifikasi di jimmy.harvard.edu
Esther TroostResident in Radiation OncologyEmail yang diverifikasi di uniklinikum-dresden.de
Evelyn De JongPhD studentEmail yang diverifikasi di maastrichtuniversity.nl
Ruud G.P.M. van StiphoutPrincipal Data Scientist at imec within OnePlanet Research CenterEmail yang diverifikasi di imec.nl
Ronald BoellaardProfessor Clinical Physics of Positron Emission Tomography, VUmc, AmsterdamEmail yang diverifikasi di vumc.nl
Catharina M.L. ZegersDepartment of Radiation Oncology (MAASTRO), GROW – Research Institute for Oncology and ReproductionEmail yang diverifikasi di maastro.nl
John QuackenbushHarvard T.H. Chan School of Public Health, Channing Division of Network Medicine, and Dana-FarberEmail yang diverifikasi di hsph.harvard.edu

Ikuti

Ralph T.H. Leijenaar

PhD

Email yang diverifikasi di maastrichtuniversity.nl

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


Judul Urutkan menurut kutipan Urutkan menurut tahun Urutkan menurut judul	Dikutip oleh Dikutip oleh	Tahun
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	5722	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	5234	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	4759	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	3049	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	800	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	661	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	506	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	484	2015
Image biomarker standardisation initiative A Zwanenburg, S Leger, M Vallières, S Löck arXiv preprint arXiv:1612.07003, 2016	478	2016
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	475	2013
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	358	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	241	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	227	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	225	2022
Data from NSCLC-radiomics HJWL Aerts, L Wee, E Rios Velazquez, RTH Leijenaar, C Parmar, ... (No Title), 2019	208	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	194	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	187	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	165	2017
Decision support systems in oncology S Walsh, EEC de Jong, JE van Timmeren, A Ibrahim, I Compter, ... JCO clinical cancer informatics 3, 1-9, 2019	146	2019

Sistem tidak dapat melakukan operasi ini. Coba lagi nanti.

Artikel 1–20

Kutipan per tahun

Kutipan duplikat

Kutipan yang digabung

Tambahkan pengarang bersamaPengarang bersama

Ikuti

Dikutip oleh

Pengarang bersama