AI RESEARCH
IntraStyler: Intra-Domain Style Synthesis for Cross-Modality MRI Domain Adaptation
arXiv CS.CV
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ArXi:2601.00212v2 Announce Type: replace Segmentation of vestibular schwannoma and cochlea from T2 MRI is clinically important yet annotation-intensive. Domain adaptation (DA) has been widely adopted to bridge the gap between labeled contrast-enhanced T1 and unlabeled T2 datasets. While existing methods focus on cross-domain alignment, intra-domain variability within the target domain remains largely overlooked. Images from the same domain may vary substantially due to different scanners, field strengths, and acquisition protocols.