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J. Jeong

4 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • middle author2

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • eess.IV2
  • physics.med-ph2
same name
  • J. Jeong — 15 papers, h 0
  • J. Jeong — 13 papers
  • J. Jeong — 10 papers
  • J. Jeong — 5 papers, h 14
  • J. Jeong — 4 papers
  • J. Jeong — 3 papers

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
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 4 of their papers we have counts for

collaborators

3 papers

eess.IV2020★ 5 cited

Was there COVID-19 back in 2012? Challenge for AI in Diagnosis with Similar Indications

Imon Banerjee, Priyanshu Sinha, Saptarshi Purkayastha +5

Purpose: Since the recent COVID-19 outbreak, there has been an avalanche of research papers applying deep learning based image processing to chest radiographs for detection of the…

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…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.