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20192022
most citedMachine-learning-based Classification of Lower-grade gliomas and High-grade gliomas using Radiomic Features in Multi-parametric MRI

6 citations · 20 across the 5 of their papers we have counts for

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physics.med-ph2019★ 4 cited

Radiomics in Cancer Radiotherapy: a Review

Jiwoong Jeong, Arif Ali, Tian Liu +3

Radiomics is a nascent field in quantitative imaging that uses advanced algorithms and considerable computing power to describe tumor phenotypes, monitor treatment response, and as…

physics.med-ph2019★ 6 cited

Machine-learning-based Classification of Lower-grade gliomas and High-grade gliomas using Radiomic Features in Multi-parametric MRI

Ge Cui, Jiwoong Jeong, Bob Press +6

Objectives: Glioblastomas are the most aggressive brain and central nervous system (CNS) tumors with poor prognosis in adults. The purpose of this study is to develop a machine-lea…