Search Results for author:
Found 7 papers, 2 papers with code
Multipath cycleGAN for harmonization of paired and unpaired low-dose lung computed tomography reconstruction kernels
We propose a multipath cycleGAN model for CT kernel harmonization, trained on a mixture of paired and unpaired data from a low-dose lung cancer screening cohort.
Investigating the impact of kernel harmonization and deformable registration on inspiratory and expiratory chest CT images for people with COPD
Results show harmonization significantly reduces emphysema measurement inconsistencies, decreasing median emphysema scores from 10. 479% to 3. 039%, with a reference median score of 1. 305% from the STANDARD kernel as the target.
Brain age identification from diffusion MRI synergistically predicts neurodegenerative disease
We observe difference between our dMRI-based brain age and T1w MRI-based brain age across stages of neurodegeneration, with dMRI-based brain age being older than T1w MRI-based brain age in participants transitioning from cognitively normal (CN) to mild cognitive impairment (MCI), but younger in participants already diagnosed with Alzheimer's disease (AD).
Sensitivity of quantitative diffusion MRI tractography and microstructure to anisotropic spatial sampling
This study uses microstructural measures (fractional anisotropy and mean diffusivity) and white matter bundle properties (bundle volume, length, and surface area) to further understand the effect of anisotropic voxels on microstructure and tractography.
Comparison and calibration of MP2RAGE quantitative T1 values to multi-TI inversion recovery T1 values
We demonstrate a tissue-dependent bias between MAP MP2RAGE T1 estimates and the multi-TI inversion recovery T1 values.
Influence of Early through Late Fusion on Pancreas Segmentation from Imperfectly Registered Multimodal MRI
We trained a collection of basic UNets with different fusion points, spanning from early to late, to assess how early through late fusion influenced segmentation performance on imperfectly aligned images.
Super-resolution multi-contrast unbiased eye atlases with deep probabilistic refinement
These variations limit the feasibility and robustness of generalizing population-wise features of eye organs to an unbiased spatial reference.
