most citedCMViM: Contrastive Masked Vim Autoencoder for 3D Multi-modal Representation Learning for AD classification

3 citations · 3 across the 2 of their papers we have counts for

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cs.CV2026

Improving PET/CT-Based Whole-Body Lesion Segmentation Using Prediction Uncertainty-Augmented Models

Bashirul Azam Biswas, Biratal Raj Wagle, Zhihan Yang +4

Accurate lesion segmentation from whole-body Positron Emission Tomography (PET)/Computed Tomography (CT) scans is essential for cancer staging and treatment planning. PET provides…

cs.CV2024★ 3 cited

CMViM: Contrastive Masked Vim Autoencoder for 3D Multi-modal Representation Learning for AD classification

Guangqian Yang, Kangrui Du, Zhihan Yang +3

Alzheimer's disease (AD) is an incurable neurodegenerative condition leading to cognitive and functional deterioration. Given the lack of a cure, prompt and precise AD diagnosis is…