9 citations · 11 across the 3 of their papers we have counts for
3 papers
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…
cs.CV2021★ 9 cited
Disease-oriented image embedding with pseudo-scanner standardization for content-based image retrieval on 3D brain MRI
Hayato Arai, Yuto Onga, Kumpei Ikuta +3
To build a robust and practical content-based image retrieval (CBIR) system that is applicable to a clinical brain MRI database, we propose a new framework -- Disease-oriented imag…
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…