METhodological RadiomICs Score (METRICS): a quality scoring tool for radiomics research endorsed by EuSoMII

被引：0

作者：

Burak Kocak

Tugba Akinci D’Antonoli

Nathaniel Mercaldo

Angel Alberich-Bayarri

Bettina Baessler

Ilaria Ambrosini

Anna E. Andreychenko

Spyridon Bakas

Regina G. H. Beets-Tan

Keno Bressem

Irene Buvat

Roberto Cannella

Luca Alessandro Cappellini

Armando Ugo Cavallo

Leonid L. Chepelev

Linda Chi Hang Chu

Aydin Demircioglu

Nandita M. deSouza

Matthias Dietzel

Salvatore Claudio Fanni

Andrey Fedorov

Laure S. Fournier

Valentina Giannini

Rossano Girometti

Kevin B. W. Groot Lipman

Georgios Kalarakis

Brendan S. Kelly

Michail E. Klontzas

Dow-Mu Koh

Elmar Kotter

Ho Yun Lee

Mario Maas

Luis Marti-Bonmati

Henning Müller

Nancy Obuchowski

Fanny Orlhac

Nikolaos Papanikolaou

Ekaterina Petrash

Elisabeth Pfaehler

Daniel Pinto dos Santos

Andrea Ponsiglione

Sebastià Sabater

Francesco Sardanelli

Philipp Seeböck

Nanna M. Sijtsema

Arnaldo Stanzione

Alberto Traverso

Lorenzo Ugga

Martin Vallières

Lisanne V. van Dijk

机构：

[1] University of Health Sciences,Department of Radiology

[2] Basaksehir Cam and Sakura City Hospital,Institute of Radiology and Nuclear Medicine

[3] Cantonal Hospital Baselland,Department of Radiology

[4] Massachusetts General Hospital,Department of Diagnostic and Interventional Radiology

[5] Quantitative Imaging Biomarkers in Medicine (Quibim),Department of Translational Research, Academic Radiology

[6] University Hospital Würzburg,Laboratory for Digital Public Health Technologies

[7] University of Pisa,Division of Computational Pathology, Department of Pathology and Laboratory Medicine, School of Medicine

[8] ITMO University,Center for Federated Learning in Precision Medicine

[9] Indiana University,Department of Radiology

[10] Indiana University,GROW School for Oncology and Developmental Biology

[11] The Netherlands Cancer Institute, Institute of Regional Health Research

[12] Maastricht University Medical Center,Department of Radiology

[13] University of Southern Denmark,Section of Radiology

[14] Charité – Universitätsmedizin Berlin, Department of Biomedicine, Neuroscience and Advanced Diagnostics (BiND)

[15] Corporate Member of Freie Universität Berlin and Humboldt- Universität zu Berlin,Department of Biomedical Sciences

[16] Berlin Institute of Health at Charité - Universitätsmedizin Berlin,Division of Radiology

[17] Institut Curie,Joint Department of Medical Imaging

[18] Inserm,The Russell H. Morgan Department of Radiology and Radiological Science

[19] PSL University,Institute of Diagnostic and Interventional Radiology and Neuroradiology

[20] Laboratory of Translational Imaging in Oncology,Division of Radiotherapy and Imaging

[21] University of Palermo,Department of Imaging

[22] Humanitas University,Department of Radiology

[23] Istituto Dermopatico dell’Immacolata (IDI) IRCCS,Department of Radiology, Brigham and Women’s Hospital

[24] University Health Network,Department of Radiology

[25] University of Toronto,Department of Surgical Sciences

[26] Johns Hopkins University School of Medicine,Institute of Radiology, Department of Medicine

[27] University Hospital ,Department of Thoracic Oncology

[28] The Institute of Cancer Research,Department of Neuroradiology

[29] The Royal Marsden National Health Service (NHS) Foundation Trust,Department of Clinical Science, Division of Radiology, Intervention and Technology (CLINTEC)

[30] University Hospital Erlangen,Department of Radiology, Medical School

[31] Harvard Medical School,Department of Radiology

[32] Université Paris Cité,School of Medicine

[33] AP-HP,Department of Medical Imaging

[34] Hôpital Européen Georges Pompidou,Department of Radiology

[35] PARCC UMRS 970,Computational Biomedicine Laboratory

[36] INSERM,Department of Radiology

[37] University of Turin,Department of Diagnostic and Interventional Radiology

[38] University of Udine,Department of Radiology and Center for Imaging Science

[39] University Hospital S. Maria della Misericordia, Department of Health Sciences and Technology

[40] Netherlands Cancer Institute,Department of Radiology & Nuclear Medicine

[41] Karolinska University Hospital,Medical Imaging Department and Biomedical Imaging Research Group

[42] Karolinska Institutet,Department of Radiology and Medical Informatics

[43] University of Crete,Quantitative Health Sciences

[44] St Vincent’s University Hospital,Computational Clinical Imaging Group, Centre for the Unknown

[45] Insight Centre for Data Analytics,Department of Radiology

[46] UCD,Radiology department

[47] University College Dublin,Department of Radiology

[48] University Hospital of Heraklion,Institute for Diagnostic and Interventional Radiology

[49] School of Medicine,Department of Advanced Biomedical Sciences

[50] University of Crete,Department of Radiation Oncology

来源：

Insights into Imaging | / 15卷

关键词：

Radiomics; Deep learning; Artificial intelligence; Machine learning; Guideline;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

引用

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[1] METhodological RadiomICs Score (METRICS): a quality scoring tool for radiomics research endorsed by EuSoMII
Kocak, Burak
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