Cycle Inverse-Consistent TransMorph: A Balanced Deep Learning Framework for Brain MRI Registration
Deformable image registration plays a fundamental role in medical image analysis by enabling spatial alignment of anatomical structures across subjects. While recent deep learning-based approaches have significantly improved computational efficiency, many existing methods remain limited in capturing long-range anatomical correspondence and maintaining deformation consistency. In this work, we present a cycle inverse-consistent transformer-based framework for deformable brain MRI registration. Th
Record details
Published: 23 March 2026
Source: arXiv
Category: Research
Topics: Safety & alignment · Healthcare
Retrieved: 14 July 2026
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ethics.ai (23 March 2026), “Cycle Inverse-Consistent TransMorph: A Balanced Deep Learning Framework for Brain MRI Registration,” evidence record 6859, https://ethics.ai/record/6859 (originally published by arXiv).
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