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20192022
most citedDisease-oriented image embedding with pseudo-scanner standardization for content-based image retrieval on 3D brain MRI

9 citations · 11 across the 3 of their papers we have counts for

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eess.IV2022

Loc-VAE: Learning Structurally Localized Representation from 3D Brain MR Images for Content-Based Image Retrieval

Kei Nishimaki, Kumpei Ikuta, Yuto Onga +2

Content-based image retrieval (CBIR) systems are an emerging technology that supports reading and interpreting medical images. Since 3D brain MR images are high dimensional, dimens…

eess.IV2019★ 2 cited

Efficient feature embedding of 3D brain MRI images for content-based image retrieval with deep metric learning

Yuto Onga, Shingo Fujiyama, Hayato Arai +3

Increasing numbers of MRI brain scans, improvements in image resolution, and advancements in MRI acquisition technology are causing significant increases in the demand for and burd…