Here is a list of tools.
Brain age identification from diffusion MRI
Probabilistic tractography and graph measures (connectome) from dMRI
Convolutional-recurrent neural network tractography on T1-weighted MRI
Deep learning identification of crossing fiber bundle elements
Learning multi-shell MT-CSD FODs from single-shell DW-MRI
Diffusion-informed spatial smoothing (DSS) atlas for fMRI
Fusion of four tractography/connectome pipelines (TractoFlow, RBx-Flow, Tractometry-Flow, Connectoflow)
High angular resolution functional imaging for fMRI
Consistent cortical reconstruction and multi-atlas brain segmentation
Maximum a posteriori quantitative T1 mapping with uncertainty estimation
Cross-site harmonization of diffusion MRI via rotationally invariant harmonics
Integrated preprocessing and quality assurance of diffusion weighted MRI
The original BrainCOLOR segmentation from T1-weighted MRI
Surfaces at various white matter depths (Laplace-field based)
Transformer-based whole brain, renal, and multi-organ segmentation
Vasculature-informed spatial smoothing (VSS) for fMRI
White matter bundle segmentation from T1-weighted MRI
