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20242026
most citedHallucination Index: An Image Quality Metric for Generative Reconstruction Models

2 citations · 3 across the 16 of their papers we have counts for

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eess.IV2024

Volumetric Conditional Score-based Residual Diffusion Model for PET/MR Denoising

Siyeop Yoon, Rui Hu, Yuang Wang +6

PET imaging is a powerful modality offering quantitative assessments of molecular and physiological processes. The necessity for PET denoising arises from the intrinsic high noise…

cs.CV2024

High-Fidelity 3D Lung CT Synthesis in ARDS Swine Models Using Score-Based 3D Residual Diffusion Models

Siyeop Yoon, Yujin Oh, Xiang Li +3

Acute respiratory distress syndrome (ARDS) is a severe condition characterized by lung inflammation and respiratory failure, with a high mortality rate of approximately 40%. Tradit…

physics.med-ph2024★ 2 cited

Hallucination Index: An Image Quality Metric for Generative Reconstruction Models

Matthew Tivnan, Siyeop Yoon, Zhennong Chen +3

Generative image reconstruction algorithms such as measurement conditioned diffusion models are increasingly popular in the field of medical imaging. These powerful models can tran…

eess.IV2024

Measurement Embedded Schrödinger Bridge for Inverse Problems

Yuang Wang, Pengfei Jin, Siyeop Yoon +4

Score-based diffusion models are frequently employed as structural priors in inverse problems. However, their iterative denoising process, initiated from Gaussian noise, often resu…

eess.IV2024

Conditional Score-Based Diffusion Model for Cortical Thickness Trajectory Prediction

Qing Xiao, Siyeop Yoon, Hui Ren +6

Alzheimer's Disease (AD) is a neurodegenerative condition characterized by diverse progression rates among individuals, with changes in cortical thickness (CTh) closely linked to i…

eess.IV2024★ 1 cited

Implicit Image-to-Image Schrodinger Bridge for Image Restoration

Yuang Wang, Siyeop Yoon, Pengfei Jin +8

Diffusion-based models have demonstrated remarkable effectiveness in image restoration tasks; however, their iterative denoising process, which starts from Gaussian noise, often le…