Ralph T. H. Leijenaar

Author

Also Known As

Findyartini, Leijenaar, Leijenaar, Ralph T. H., Leijenaar, Ralph T.H., Leijenaar, Remco F., R Leijenaar, R T H Leijenaar, R. Leijenaar, R. T. H. Leijenaar, R.T.H Leijenaar

143

Publications

27.2K

Citations

H-Index

Concepts

All Affiliations

Maastro Clinic Maastricht University Medical Centre Maastricht University Dana-Farber Cancer Institute Radboud University Nijmegen

About

Ralph T. H. Leijenaar is an author at Maastro Clinic specializing in radiology, medicine, and medical imaging.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Medicine	8	8	1.8K
2	Health Sciences	6	6	564
3	Engineering	4	4	798
4	Public Health	3	3	295
5	Biostatistics	2	2	667

Ralph T. H. Leijenaar

Publications

15K

Citations

H-Index

Page 1

	Year	Citations
Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach Hugo J.W.L. Aerts, Emmanuel Rios Velazquez, Ralph T. H. Leijenaar, Nature Communications	2014	5K
The Image Biomarker Standardization Initiative: Standardized Quantitative Radiomics for High-Throughput Image-based Phenotyping Alex Zwanenburg, Martin Vallières, Mahmoud A. Abdalah, Radiology	2020	3.6K
CT-based radiomic signature predicts distant metastasis in lung adenocarcinoma Thibaud Coroller, Ying Hou, Emmanuel Rios Velazquez, Radiotherapy and Oncology Distant MetastasisMedicineRadiomicsOncologyLung Cancer	2015	698
Robust Radiomics Feature Quantification Using Semiautomatic Volumetric Segmentation Chintan Parmar, Emmanuel Rios Velazquez, Ralph T. H. Leijenaar, PLoS ONE Computed TomographyEngineeringTumor SegmentationRadiomic FeaturesDiagnostic Imaging	2014	587
Radiomic feature clusters and Prognostic Signatures specific for Lung and Head & Neck cancer Chintan Parmar, Ralph T. H. Leijenaar, Emmanuel Rios Velazquez, Scientific Reports	2015	430
Stability of FDG-PET Radiomics features: An integrated analysis of test-retest and inter-observer variability Ralph T. H. Leijenaar, Sara Carvalho, Emmanuel Rios Velazquez, Acta Oncologica	2013	413
The effect of SUV discretization in quantitative FDG-PET Radiomics: the need for standardized methodology in tumor texture analysis Ralph T. H. Leijenaar, Georgi Nalbantov, Sara Carvalho, Scientific Reports	2015	407
Defining the biological basis of radiomic phenotypes in lung cancer Olya Stringfield, Nehmé El-Hachem, Marilyn M. Bui, eLife	2017	355
Correction: Corrigendum: Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach Hugo J.W.L. Aerts, Emmanuel Rios Velazquez, Ralph T. H. Leijenaar, Nature Communications Oncologic ImagingMedical ImagingBiomedical ImagingDiagnostic NeuroradiologyRadiomics	2014	300
Influence of gray level discretization on radiomic feature stability for different CT scanners, tube currents and slice thicknesses: a comprehensive phantom study Ruben T. H. M. Larue, Janita E. van Timmeren, Evelyn E.C. de Jong, Acta Oncologica	2017	279

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