most citedIterative Learning for Joint Image Denoising and Motion Artifact Correction of 3D Brain MRI

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eess.IV2026

Delta-Diffusion: Modeling Longitudinal Brain Amyloid-PET Trajectories via Conditional Poisson Diffusion Bridge

Yongheng Sun, Minhui Yu, Mengqi Wu +2

While longitudinal brain PET imaging is the gold standard for quantifying the spatiotemporal accumulation of Beta-amyloid, its widespread clinical utility is constrained by high op…

eess.IV2024

Unpaired Volumetric Harmonization of Brain MRI with Conditional Latent Diffusion

Mengqi Wu, Minhui Yu, Shuaiming Jing +3

Multi-site structural MRI is increasingly used in neuroimaging studies to diversify subject cohorts. However, combining MR images acquired from various sites/centers may introduce…

eess.IV2024

Functional Imaging Constrained Diffusion for Brain PET Synthesis from Structural MRI

Minhui Yu, Mengqi Wu, Ling Yue +2

Magnetic resonance imaging (MRI) and positron emission tomography (PET) are increasingly used in multimodal analysis of neurodegenerative disorders. While MRI is broadly utilized i…

eess.IV20241 cited

Iterative Learning for Joint Image Denoising and Motion Artifact Correction of 3D Brain MRI

Lintao Zhang, Mengqi Wu, Lihong Wang +3

Image noise and motion artifacts greatly affect the quality of brain MRI and negatively influence downstream medical image analysis. Previous studies often focus on 2D methods that…

eess.IV2024

Disentangled Latent Energy-Based Style Translation: An Image-Level Structural MRI Harmonization Framework

Mengqi Wu, Lintao Zhang, Pew-Thian Yap +2

Brain magnetic resonance imaging (MRI) has been extensively employed across clinical and research fields, but often exhibits sensitivity to site effects arising from non-biological…