Suivre
Ralph T.H. Leijenaar
Ralph T.H. Leijenaar
PhD
Adresse e-mail validée de maastrichtuniversity.nl
Titre
Citée par
Citée par
Année
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
50222012
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
47942014
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
39812017
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
24532020
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
7652015
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
6392014
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
4882015
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
4662013
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
4542015
Image biomarker standardisation initiative
A Zwanenburg, S Leger, M Vallières, S Löck
arXiv preprint arXiv:1612.07003, 2016
4452016
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
3252017
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
2342017
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
2322015
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
2182013
Data from NSCLC-radiomics
H Aerts, ER Velazquez, RT Leijenaar, C Parmar, P Grossmann, ...
The cancer imaging archive, 2015
1822015
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
1792017
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), 361-365, 2016
1722016
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
1522017
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
1492022
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
1422018
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