3 papers
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
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…
cs.LG2025
Domain-invariant feature learning in brain MR imaging for content-based image retrieval
Shuya Tobari, Shuhei Tomoshige, Hayato Muraki +2
When conducting large-scale studies that collect brain MR images from multiple facilities, the impact of differences in imaging equipment and protocols at each site cannot be ignor…