Keyword

quantitative imaging features

Description: Numerical characteristics extracted from medical images for describing disease and supporting prediction or clinical assessment.

Primary topic: Radiomics and Machine Learning in Medical Imaging (69%)

OpenAlex ID: keywords/quantitative-imaging-features

Radiomics: Images Are More than Pictures, They Are Data

2015 · Robert J. Gillies, Paul E. Kinahan, et al. · Radiology · 8,390

Radiomics: the bridge between medical imaging and personalized medicine

2017 · Philippe Lambin, Ralph T.H. Leijenaar, et al. · Nature Reviews Clinical Oncology · 5,658

Radiomics: the process and the challenges

2012 · Virendra Kumar, Yuhua Gu, et al. · Magnetic Resonance Imaging · 2,252

Robust Radiomics Feature Quantification Using Semiautomatic Volumetric Segmentation

2014 · Chintan Parmar, Emmanuel Rios Velazquez, et al. · PLoS ONE · 611

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Reproducibility of radiomics for deciphering tumor phenotype with imaging

2016 · Binsheng Zhao, Yongqiang Tan, et al. · Scientific Reports · 508

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Stability of FDG-PET Radiomics features: An integrated analysis of test-retest and inter-observer variability

2013 · Ralph T. H. Leijenaar, Sara Carvalho, et al. · Acta Oncologica · 428

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Radiomics in Brain Tumor: Image Assessment, Quantitative Feature Descriptors, and Machine-Learning Approaches

2017 · M. Zhou, J. Scott, et al. · American Journal of Neuroradiology · 416

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Reproducibility and Generalizability in Radiomics Modeling: Possible Strategies in Radiologic and Statistical Perspectives

2019 · Ji Eun Park, Seo Young Park, et al. · Korean Journal of Radiology · 387

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Radiomics: a new application from established techniques

2016 · Vishwa Parekh, Michael A. Jacobs · Expert Review of Precision Medicine and Drug Development · 368

Radiomics with artificial intelligence: a practical guide for beginners

2019 · Burak Kocak, Emine Sebnem Durmaz, et al. · Diagnostic and Interventional Radiology · 366

Glioblastoma Multiforme: Exploratory Radiogenomic Analysis by Using Quantitative Image Features

2014 · Olivier Gevaert, Lex A. Mitchell, et al. · Radiology · 319

Radiomics and its emerging role in lung cancer research, imaging biomarkers and clinical management: State of the art

2016 · Geewon Lee, Ho Yun Lee, et al. · European Journal of Radiology · 282

Making Radiomics More Reproducible across Scanner and Imaging Protocol Variations: A Review of Harmonization Methods

2021 · Shruti Atul Mali, Abdalla Ibrahim, et al. · Journal of Personalized Medicine · 208

The University of Pennsylvania glioblastoma (UPenn-GBM) cohort: advanced MRI, clinical, genomics, & radiomics

2022 · Spyridon Bakas, Chiharu Sako, et al. · Scientific Data · 195

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Cardiac Computed Tomography Radiomics

2017 · Márton Kolossváry, Miklós Kellermayer, et al. · Journal of Thoracic Imaging · 192

PET/MRI Radiomics in Patients With Brain Metastases

2020 · Philipp Lohmann, Martin Kocher, et al. · Frontiers in Neurology · 184

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Radiomics in Glioblastoma: Current Status and Challenges Facing Clinical Implementation

2019 · Ahmad Chaddad, Michael Jonathan Kucharczyk, et al. · Frontiers in Oncology · 184

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Radiomics in breast cancer: Current advances and future directions

2024 · Ying-Jia Qi, Guan-Hua Su, et al. · Cell Reports Medicine · 182

Deep Learning With Radiomics for Disease Diagnosis and Treatment: Challenges and Potential

2022 · Xingping Zhang, Yanchun Zhang, et al. · Frontiers in Oncology · 182

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Quantitative CT texture and shape analysis: Can it differentiate benign and malignant mediastinal lymph nodes in patients with primary lung cancer?

2014 · Hamid Bayanati, Rebecca E. Thornhill, et al. · European Radiology · 161

Assessing Agreement between Radiomic Features Computed for Multiple CT Imaging Settings

2016 · Lin Lu, Ross C. Ehmke, et al. · PLoS ONE · 159

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Interpretation of radiomics features–A pictorial review

2021 · Ali Abbasian Ardakani, Nathalie J Bureau, et al. · Computer Methods and Programs in Biomedicine · 154

Artificial Intelligence System Approaching Neuroradiologist-level Differential Diagnosis Accuracy at Brain MRI

2020 · Andreas M. Rauschecker, Jeffrey D. Rudie, et al. · Radiology · 147

Computerized Image Analysis for Identifying Triple-Negative Breast Cancers and Differentiating Them from Other Molecular Subtypes of Breast Cancer on Dynamic Contrast-enhanced MR Images: A Feasibility Study

2014 · Shannon C. Agner, Mark A. Rosen, et al. · Radiology · 138

The Rise of Radiomics and Implications for Oncologic Management

2017 · Vivek Verma, Charles B. Simone, et al. · JNCI Journal of the National Cancer Institute · 135

Works count: 576

Citation count: 29,590