3 citations · 3 across the 4 of their papers we have counts for
4 papers
Regularizing INR with diffusion prior self-supervised 3D reconstruction of neutron computed tomography data
Maliha Hossain, Haley Duba-Sullivan, Amirkoushyar Ziabari
Recently, generative diffusion priors have made huge strides as inverse problem solvers, including the ability to be adapted for inference on out-of-distribution data. Concurrently…
Cross-Modal Guidance for Fast Diffusion-Based Computed Tomography
Timofey Efimov, Singanallur Venkatakrishnan, Maliha Hossain +2
Diffusion models have emerged as powerful priors for solving inverse problems in computed tomography (CT). In certain applications, such as neutron CT, it can be expensive to colle…
ORBIT-2: Scaling Exascale Vision Foundation Models for Weather and Climate Downscaling
Xiao Wang, Jong-Youl Choi, Takuya Kurihaya +15
Sparse observations and coarse-resolution climate models limit effective regional decision-making, underscoring the need for robust downscaling. However, existing AI methods strugg…
Sparse Measurement Medical CT Reconstruction using Multi-Fused Block Matching Denoising Priors
Maliha Hossain, Yuankai Huo, Xinqiang Yan +1
A major challenge for medical X-ray CT imaging is reducing the number of X-ray projections to lower radiation dosage and reduce scan times without compromising image quality. Howev…