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20182026
most citedAn Inductive Transfer Learning Approach using Cycle-consistent Adversarial Domain Adaptation with Application to Brain Tumor Segmentation

19 citations · 25 across the 7 of their papers we have counts for

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eess.IV2026

VesselBridge3D: A Foundation Model Adaptation Framework for Label-Efficient 3D Vessel Segmentation

Kirato Yoshihara, Yohei Sugawara, Yuta Tokuoka +1

State-of-the-art vessel segmentation methods typically require large-scale annotated datasets and suffer from severe performance degradation under domain shifts. In clinical practi…

eess.IV2019★ 3 cited

GA-GAN: CT reconstruction from Biplanar DRRs using GAN with Guided Attention

Ashish Sinha, Yohei Sugawara, Yuichiro Hirano

This work investigates the use of guided attention in the reconstruction of CTvolumes from biplanar DRRs. We try to improve the visual image quality of the CT reconstruction using…