Alard F. Roebroeck

The paper maps mesoscopic vascular networks in the human brain using the BigBrain dataset, revealing non-uniform vascular density related to cortical areas.

This paper introduces angioMASH, a method to visualize vascular and cytoarchitectonic features in human brain tissue, revealing layer-specific vascular density and orientation differences in visual areas V1 and V2.

The paper introduces an improved open-source light-sheet microscope, mesoSPIM, with enhanced resolution, throughput, and compatibility with cleared samples.

The paper introduces a novel Schmidt objective for high-resolution imaging in cleared tissues, achieving high NA, long WD, and large FOV with only two optical elements.

This paper demonstrates a light-sheet microscopy technique for 3D imaging of large human tissue samples with high resolution and speed, showing potential for clinical applications in prostate cancer.

The paper examines the relationship between digit-specific cortical representations and motor performance, finding associations between representational similarity scores and digit enslaving or interference.

The paper introduces MESMERISED, a sequence that accelerates T1 relaxometry and diffusion MRI at 7 T, enabling efficient multi-contrast and diffusion imaging with high resolution and speed.

The paper introduces MASH, a method for cytoarchitectonic labeling and optical clearing of human cortex samples, enabling scalable 3D characterization of neocortical cytoarchitecture.

This paper introduces a method to quantify uncertainty in diffusion MRI models, showing it improves artifact detection and statistical power in group studies.

The paper introduces mesoSPIM, an open-source light-sheet microscope initiative for imaging large cleared tissue samples with near-isotropic resolution.

The paper evaluates MCMC algorithms for diffusion MRI microstructure models, finding that Adaptive Metropolis-Within-Gibbs with MLE initialization provides fast and robust sampling.