R
Ralph T.H. Leijenaar
Researcher at Maastricht University Medical Centre
Publications - 86
Citations - 16927
Ralph T.H. Leijenaar is an academic researcher from Maastricht University Medical Centre. The author has contributed to research in topics: Medicine & Internal medicine. The author has an hindex of 30, co-authored 81 publications receiving 11304 citations. Previous affiliations of Ralph T.H. Leijenaar include Maastricht University.
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Journal ArticleDOI
Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach
Hugo J.W.L. Aerts,Emmanuel Rios Velazquez,Ralph T.H. Leijenaar,Chintan Parmar,Patrick Grossmann,Sara Carvalho,Sara Cavalho,Johan Bussink,René Monshouwer,Benjamin Haibe-Kains,Derek H. F. Rietveld,Frank J. P. Hoebers,Michelle M. Rietbergen,C. René Leemans,Andre Dekker,John Quackenbush,Robert J. Gillies,Philippe Lambin +17 more
TL;DR: The data suggest that radiomics identifies a general prognostic phenotype existing in both lung and head-and-neck cancer, which may have a clinical impact as imaging is routinely used in clinical practice, providing an unprecedented opportunity to improve decision-support in cancer treatment at low cost.
Journal ArticleDOI
Radiomics: extracting more information from medical images using advanced feature analysis.
Philippe Lambin,Emmanuel Rios-Velazquez,Ralph T.H. Leijenaar,Sara Carvalho,Ruud G.P.M. van Stiphout,Patrick V. Granton,Catharina M.L. Zegers,Robert J. Gillies,Ronald Boellard,Andre Dekker,Hugo J.W.L. Aerts,Hugo J.W.L. Aerts +11 more
TL;DR: Radiomics--the high-throughput extraction of large amounts of image features from radiographic images--addresses this problem and is one of the approaches that hold great promises but need further validation in multi-centric settings and in the laboratory.
Journal ArticleDOI
Radiomics: the bridge between medical imaging and personalized medicine
Philippe Lambin,Ralph T.H. Leijenaar,Timo M. Deist,Jurgen Peerlings,Evelyn E.C. de Jong,Janita E. van Timmeren,Sebastian Sanduleanu,Ruben T. H. M. Larue,Aniek J.G. Even,Arthur Jochems,Yvonka van Wijk,Henry C. Woodruff,Johan van Soest,Tim Lustberg,Erik Roelofs,Wouter van Elmpt,Andre Dekker,Felix M. Mottaghy,Felix M. Mottaghy,Joachim E. Wildberger,Sean Walsh +20 more
TL;DR: Radiomics, the high-throughput mining of quantitative image features from standard-of-care medical imaging that enables data to be extracted and applied within clinical-decision support systems to improve diagnostic, prognostic, and predictive accuracy, is gaining importance in cancer research as mentioned in this paper.
Journal ArticleDOI
The Image Biomarker Standardization Initiative: Standardized Quantitative Radiomics for High-Throughput Image-based Phenotyping
Alex Zwanenburg,Alex Zwanenburg,Martin Vallières,Mahmoud A. Abdalah,Hugo J.W.L. Aerts,Hugo J.W.L. Aerts,Vincent Andrearczyk,Aditya Apte,Saeed Ashrafinia,Spyridon Bakas,Roelof J. Beukinga,Ronald Boellaard,Marta Bogowicz,Luca Boldrini,Irène Buvat,Gary Cook,Christos Davatzikos,Adrien Depeursinge,Marie-Charlotte Desseroit,Nicola Dinapoli,Cuong V. Dinh,Sebastian Echegaray,Issam El Naqa,Issam El Naqa,Andriy Fedorov,Roberto Gatta,Robert J. Gillies,Vicky Goh,Michael Götz,Matthias Guckenberger,Sung Min Ha,Mathieu Hatt,Fabian Isensee,Philippe Lambin,Stefan Leger,Stefan Leger,Ralph T.H. Leijenaar,Jacopo Lenkowicz,Fiona Lippert,Are Losnegård,Klaus H. Maier-Hein,Olivier Morin,Henning Müller,Sandy Napel,Christophe Nioche,Fanny Orlhac,Sarthak Pati,Elisabeth Pfaehler,Arman Rahmim,Arman Rahmim,Arvind Rao,Jonas Scherer,Muhammad Siddique,Nanna M. Sijtsema,Jairo Socarras Fernandez,Emiliano Spezi,Roel J H M Steenbakkers,Stephanie Tanadini-Lang,Daniela Thorwarth,Esther G.C. Troost,Esther G.C. Troost,Taman Upadhaya,Vincenzo Valentini,Lisanne V. van Dijk,Joost J. M. van Griethuysen,Floris H. P. van Velden,Philip Whybra,Christian Richter,Christian Richter,Steffen Löck,Steffen Löck +70 more
TL;DR: A set of 169 radiomics features was standardized, which enabled verification and calibration of different radiomics software and could be excellently reproduced.
Journal ArticleDOI
Corrigendum: Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach
Hugo J.W.L. Aerts,Emmanuel Rios Velazquez,Ralph T.H. Leijenaar,Chintan Parmar,Patrick Grossmann,Sara Carvalho,Johan Bussink,René Monshouwer,Benjamin Haibe-Kains,Derek H. F. Rietveld,Frank J. P. Hoebers,Michelle M. Rietbergen,C. René Leemans,Andre Dekker,John Quackenbush,Robert J. Gillies,Philippe Lambin +16 more
TL;DR: Corrigendum: Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach using a qualitative approach to solve the mystery of why tumourigenicity is associated with certain types of cancer.