activity
20172022
most citedSustainable computational science: the ReScience initiative

128 citations · 407 across the 9 of their papers we have counts for

collaborators

9 papers

physics.med-ph2022★ 1 cited

Incorporating the effect of white matter microstructure in the estimation of magnetic susceptibility in ex-vivo mouse brain

Anders Dyhr Sandgaard, Valerij G. Kiselev, Rafael Neto Henriques +2

Accurate estimation of microscopic magnetic field variations induced in biological tissue can be valuable for mapping tissue composition in health and disease. Here, we present an…

physics.med-ph2022★ 4 cited

Improved reproducibility of diffusion kurtosis imaging using regularized non-linear optimization informed by artificial neural networks

Leevi Kerkelä, Kiran Seunarine, Rafael Neto Henriques +2

Diffusion kurtosis imaging is an extension of diffusion tensor imaging that provides scientifically and clinically valuable information about brain tissue microstructure but suffer…

physics.bio-ph2021★ 26 cited

Evidence for microscopic kurtosis in neural tissue revealed by Correlation Tensor MRI

Rafael Neto Henriques, Sune Nørhøj Jespersen, Noam Shemesh

Purpose: The impact of microscopic diffusional kurtosis () - arising from restricted diffusion and/or structural disorder - remains a controversial issue in contemporary diffus…

physics.med-ph2020★ 49 cited

Double diffusion encoding and applications for biomedical imaging

Rafael N. Henriques, Marco Palombo, Sune N. Jespersen +3

Diffusion Magnetic Resonance Imaging (dMRI) is one of the most important contemporary non-invasive modalities for probing tissue structure at the microscopic scale. The majority of…

physics.med-ph2019★ 19 cited

Validation and noise robustness assessment of microscopic anisotropy estimation with clinically feasible double diffusion encoding MRI

Leevi Kerkelä, Rafael Neto Henriques, Matt G. Hall +2

Purpose: Double diffusion encoding (DDE) MRI enables the estimation of microscopic diffusion anisotropy, yielding valuable information on tissue microstructure. A recent study prop…

eess.IV2019★ 5 cited

Fitting IVIM with Variable Projection and Simplicial Optimization

Shreyas Fadnavis, Hamza Farooq, Maryam Afzali +10

Fitting multi-exponential models to Diffusion MRI (dMRI) data has always been challenging due to various underlying complexities. In this work, we introduce a novel and robust fitt…

physics.med-ph2019★ 87 cited

Correlation Tensor Magnetic Resonance Imaging

Rafael Neto Henriques, Sune Nørhøj Jespersen, Noam Shemesh

Diffusional Kurtosis Imaging (DKI) is a sensitive biomarker for microstructure in health and disease. However, DKI is not specific to any microstructural property since it may emer…

physics.med-ph2019★ 88 cited

Microscopic anisotropy misestimation in spherical-mean single diffusion encoding MRI

Rafael Neto Henriques, Sune N Jespersen, Noam Shemesh

Purpose: Microscopic fractional anisotropy (μFA) can disentangle microstructural information from orientation dispersion. While double diffusion encoding (DDE) MRI methods are wide…

cs.DL2017★ 128 cited

Sustainable computational science: the ReScience initiative

Nicolas P. Rougier, Konrad Hinsen, Frédéric Alexandre +42

Computer science offers a large set of tools for prototyping, writing, running, testing, validating, sharing and reproducing results, however computational science lags behind. In…