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20232025
most citedCT Reconstruction using Diffusion Posterior Sampling conditioned on a Nonlinear Measurement Model

13 citations · 19 across the 8 of their papers we have counts for

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6 papers · 1 filter

physics.med-ph2025★ 2 cited

Differentiable Forward and Back-Projector for Rigid Motion Estimation in X-ray Imaging

Xiao Jiang, Xin Wang, Ali Uneri +2

Objective: In this work, we propose a framework for differentiable forward and back-projector that enables scalable, accurate, and memory-efficient gradient computation for rigid m…

physics.med-ph2025

Volumetric Material Decomposition Using Spectral Diffusion Posterior Sampling with a Compressed Polychromatic Forward Model

Xiao Jiang, Grace J. Gang, J. Webster Stayman

We have previously introduced Spectral Diffusion Posterior Sampling (Spectral DPS) as a framework for accurate one-step material decomposition by integrating analytic spectral syst…

physics.med-ph2025

CTorch: PyTorch-Compatible GPU-Accelerated Auto-Differentiable Projector Toolbox for Computed Tomography

Xiao Jiang, Grace J. Gang, J. Webster Stayman

This work introduces CTorch, a PyTorch-compatible, GPU-accelerated, and auto-differentiable projector toolbox designed to handle various CT geometries with configurable projector a…

physics.med-ph2024

Multi-Material Decomposition Using Spectral Diffusion Posterior Sampling

Xiao Jiang, Grace J. Gang, J. Webster Stayman

Many spectral CT applications require accurate material decomposition. Existing material decomposition algorithms are often susceptible to significant noise magnification or, in th…

physics.med-ph2023★ 13 cited

CT Reconstruction using Diffusion Posterior Sampling conditioned on a Nonlinear Measurement Model

Shudong Li, Xiao Jiang, Matthew Tivnan +3

Diffusion models have been demonstrated as powerful deep learning tools for image generation in CT reconstruction and restoration. Recently, diffusion posterior sampling, where a s…

physics.med-ph2023★ 1 cited

A Joint Processing Strategy for Image Quality Improvement in 3D Digital Subtraction Angiography

Xiaoxuan Zhang, Xiao Jiang, Matthew Tivnan +2

Three-dimensional digital subtraction angiography (3D-DSA) is a widely adopted technique for clinical evaluation of contrast-enhanced vasculatures. The distribution of a contrast a…