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Preprint Oct 2026

A4-MR: Abnormality-aware Anatomical Alignment for MR

Recent advances in large-scale foundation models have enabled strong generalization across a wide range of clinical and research tasks in magnetic resonance imaging (MRI). However, existing vision-language MRI models remain limited in anatomy-specific localization and pathology-aware representation, particularly in rea...

Noel DSouza, Zhi-Jian Yang, Nishank Singla et al. · 0 citations
Preprint Sep 2026

PCaPaint: Prostate Cancer Inpainting by Mitigating Shortcut Learning

The development of AI systems for tumor-specific applications is limited by the scarcity of labeled data. Synthetic tumor inpainting offers a promising approach but faces challenges for prostate cancer MRI which contains high-resolution multi-sequence data. Although methods leveraging latent diffusion models (LDMs) ena...

Levente Lippenszky, Hong-Xu Yang, M. Dömötör et al. · 0 citations

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