activity
20162026
most citedRotationally-invariant mapping of scalar and orientational metrics of neuronal microstructure with diffusion MRI

265 citations · 433 across the 13 of their papers we have counts for

collaborators

13 papers

cs.LG2026

Realistic noise synthesis reduces bias and improves tissue microstructure estimation with supervised machine learning

Bradley G. Karat, Maëliss Jallais, Ali R. Khan +3

Diffusion MRI enables non-invasive probing of tissue microstructure, but accurate parameter estimation is challenged by noise-related effects. In supervised machine learning framew…

cs.CV2026

DMD-augmented Unpaired Neural Schrödinger Bridge for Ultra-Low Field MRI Enhancement

Youngmin Kim, Jaeyun Shin, Jeongchan Kim +5

Ultra Low Field (64 mT) brain MRI improves accessibility but suffers from reduced image quality compared to 3 T. As paired 64 mT - 3 T scans are scarce, we propose an unpaired 64 m…

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…

physics.med-ph2024★ 12 cited

Denoising Improves Cross-Scanner and Cross-Protocol Test-Retest Reproducibility of Higher-Order Diffusion Metrics

Benjamin Ades-Aron, Santiago Coelho, Gregory Lemberskiy +5

The clinical translation of diffusion MRI (dMRI)-derived quantitative contrasts hinges on robust reproducibility, minimizing both same-scanner and cross-scanner variability. This s…

physics.med-ph2024★ 3 cited

Assessment of Precision and Accuracy of Brain White Matter Microstructure using Combined Diffusion MRI and Relaxometry

Santiago Coelho, Ying Liao, Filip Szczepankiewicz +5

Joint modeling of diffusion and relaxation has seen growing interest due to its potential to provide complementary information about tissue microstructure. For brain white matter,…

cs.DC2023★ 75 cited

brainlife.io: A decentralized and open source cloud platform to support neuroscience research

Soichi Hayashi, Bradley A. Caron, Anibal Sólon Heinsfeld +61

Neuroscience research has expanded dramatically over the past 30 years by advancing standardization and tool development to support rigor and transparency. Consequently, the comple…

physics.med-ph2023★ 23 cited

Optimization and Validation of the DESIGNER dMRI preprocessing pipeline in white matter aging

Jenny Chen, Benjamin Ades-Aron, Hong-Hsi Lee +5

Various diffusion MRI (dMRI) preprocessing pipelines are currently available to yield more accurate diffusion parameters. Here, we evaluated accuracy and robustness of the optimize…

physics.med-ph2022★ 10 cited

Considerations and recommendations from the ISMRM Diffusion Study Group for preclinical diffusion MRI: Part 2 -- Ex vivo imaging: added value and acquisition

Kurt G Schilling, Francesco Grussu, Andrada Ianus +54

The value of preclinical diffusion MRI (dMRI) is substantial. While dMRI enables in vivo non-invasive characterization of tissue, ex vivo dMRI is increasingly used to probe tissue…

physics.med-ph2022★ 10 cited

Considerations and Recommendations from the ISMRM Diffusion Study Group for preclinical diffusion MRI: Part 1 -- In vivo small-animal imaging

Ileana O Jelescu, Francesco Grussu, Andrada Ianus +54

Small-animal diffusion MRI (dMRI) has been used for methodological development and validation, characterizing the biological basis of diffusion phenomena, and comparative anatomy.…

physics.bio-ph2022★ 2 cited

Reproducibility of the Standard Model of diffusion in white matter on clinical MRI systems

Santiago Coelho, Steven H. Baete, Gregory Lemberskiy +5

Estimating intra- and extra-axonal microstructure parameters, such as volume fractions and diffusivities, has been one of the major efforts in brain microstructure imaging with MRI…

q-bio.NC2017★ 5 cited

Heritability estimates on resting state fMRI data using the ENIGMA analysis pipeline

Bhim M. Adhikari, Neda Jahanshad, Dinesh Shukla +8

Big data initiatives such as the Enhancing NeuroImaging Genetics through Meta-Analysis consortium (ENIGMA), combine data collected by independent studies worldwide to achieve more…

physics.bio-ph2016★ 28 cited

Universal power-law scaling of water diffusion in human brain defines what we see with MRI

Jelle Veraart, Els Fieremans, Dmitry S. Novikov

Development of successful therapies for neurological disorders depends on our ability to diagnose and monitor the progression of underlying pathologies at the cellular level. Physi…

physics.bio-ph2016★ 265 cited

Rotationally-invariant mapping of scalar and orientational metrics of neuronal microstructure with diffusion MRI

Dmitry S. Novikov, Jelle Veraart, Ileana O. Jelescu +1

We develop a general analytical and numerical framework for estimating intra- and extra-neurite water fractions and diffusion coefficients, as well as neurite orientational dispers…