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Distinguishing True Progression From Radionecrosis After Stereotactic Radiation Therapy for Brain Metastases With Machine Learning and Radiomics

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Year: 2018
Type: article
Study design: Observational Study
Source: International Journal of Radiation Oncology*Biology*Physics
DOI: 10.1016/j.ijrobp.2018.05.041
Authors: Luke Peng, Vishwa Parekh, Peng Huang, Doris D. Lin, Khadija Sheikh, Brock Baker, Talia Kirschbaum, Francesca Silvestri, Jessica Son, Adam Robinson, Ellen Huang, Heather Ames, Jimm Grimm, Linda Chen, Colette Shen, Michael Soike, Emory McTyre, Kristin Redmond, Michael Lim, Junghoon Lee, Michael A. Jacobs, Lawrence Kleinberg
Institutions: Johns Hopkins University, Johns Hopkins Medicine, Atrium Health Wake Forest Baptist
Language: English

Topic: Radiomics and Machine Learning in Medical Imaging
Subfield: Radiology, Nuclear Medicine and Imaging
Field: Medicine
Domain: Health Sciences
SDG: Good health and well-being

Open Access status: green

Funder: National Cancer Institute
Awards: G1165598027, G3811352929, Correction of Diffusion Gradient Bias in Quantitative Diffusivity Metrics for MultiPlatform Clinical Oncology Trials
OpenAlex ID: W2804897211
FWCI: 10.08
Cites: 32
Cited by: 154
Related to: 10
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