activity
20182026
most citedBiomedical image analysis competitions: The state of current participation practice

17 citations · 63 across the 24 of their papers we have counts for

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Showing 2024Show all

8 papers · 1 filter

physics.med-ph2024

Considerations and recommendations from the ISMRM Diffusion Study Group for preclinical diffusion MRI: Part 3 -- Ex vivo imaging: data processing, comparisons with microscopy, and tractography

Kurt G Schilling, Amy FD Howard, Francesco Grussu +55

Preclinical diffusion MRI (dMRI) has proven value in methods development and validation, characterizing the biological basis of diffusion phenomena, and comparative anatomy. While…

eess.SP2024★ 1 cited

Sensitivity of quantitative diffusion MRI tractography and microstructure to anisotropic spatial sampling

Elyssa M. McMaster, Nancy R. Newlin, Chloe Cho +10

Purpose: Diffusion weighted MRI (dMRI) and its models of neural structure provide insight into human brain organization and variations in white matter. A recent study by McMaster,…

cs.CV2024★ 1 cited

Multi-Modality Conditioned Variational U-Net for Field-of-View Extension in Brain Diffusion MRI

Zhiyuan Li, Chenyu Gao, Praitayini Kanakaraj +13

An incomplete field-of-view (FOV) in diffusion magnetic resonance imaging (dMRI) can severely hinder the volumetric and bundle analyses of whole-brain white matter connectivity. Al…

eess.IV2024★ 3 cited

Comparison and calibration of MP2RAGE quantitative T1 values to multi-TI inversion recovery T1 values

Adam M. Saunders, Michael E. Kim, Chenyu Gao +6

While typical qualitative T1-weighted magnetic resonance images reflect scanner and protocol differences, quantitative T1 mapping aims to measure T1 independent of these effects. C…

cs.DC2024★ 1 cited

Scalable, reproducible, and cost-effective processing of large-scale medical imaging datasets

Michael E. Kim, Karthik Ramadass, Chenyu Gao +11

Curating, processing, and combining large-scale medical imaging datasets from national studies is a non-trivial task due to the intense computation and data throughput required, va…

physics.med-ph2024

Harmonized connectome resampling for variance in voxel sizes

Elyssa M. McMaster, Nancy R. Newlin, Gaurav Rudravaram +10

To date, there has been no comprehensive study characterizing the effect of diffusion-weighted magnetic resonance imaging voxel resolution on the resulting connectome for high reso…

cs.CV2024★ 4 cited

Field-of-View Extension for Brain Diffusion MRI via Deep Generative Models

Chenyu Gao, Shunxing Bao, Michael Kim +13

Purpose: In diffusion MRI (dMRI), the volumetric and bundle analyses of whole-brain tissue microstructure and connectivity can be severely impeded by an incomplete field-of-view (F…

eess.IV2024★ 1 cited

Tractography with T1-weighted MRI and associated anatomical constraints on clinical quality diffusion MRI

Tian Yu, Yunhe Li, Michael E. Kim +8

Diffusion MRI (dMRI) streamline tractography, the gold standard for in vivo estimation of brain white matter (WM) pathways, has long been considered indicative of macroscopic relat…