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Matthew Tivnan

18 papers hereh-index 6126 citations33 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author4
  • middle author13
  • last author1

Across the 18 of 18 papers where every author was matched, so the position is known.

fields
  • eess.IV7
  • cs.CV4
  • physics.med-ph4
  • cs.LG2
  • cs.NE1
same name
  • Matthew Tivnan — 12 papers, h 9

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

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

2 citations · 3 across the 18 of their papers we have counts for

collaborators
Showing 2024 · eess.IVShow all

4 papers · 2 filters

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…

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…

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