most citediCBIR-Sli: Interpretable Content-Based Image Retrieval with 2D Slice Embeddings

6 citations · 8 across the 3 of their papers we have counts for

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cs.CV2025

Acquisition of interpretable domain information during brain MR image harmonization for content-based image retrieval

Keima Abe, Hayato Muraki, Shuhei Tomoshige +2

Medical images like MR scans often show domain shifts across imaging sites due to scanner and protocol differences, which degrade machine learning performance in tasks such as dise…

cs.CV2025★ 6 cited

iCBIR-Sli: Interpretable Content-Based Image Retrieval with 2D Slice Embeddings

Shuhei Tomoshige, Hayato Muraki, Kenichi Oishi +1

Current methods for searching brain MR images rely on text-based approaches, highlighting a significant need for content-based image retrieval (CBIR) systems. Directly applying 3D…