Calamante, Fernando

Direct estimation of the fiber orientation density function from diffusion-weighted MRI data using spherical deconvolution

Tournier, J.-D., Calamante, F., Gadian, D. G., & Connelly, A. (2004) · NeuroImage

Advanced Neuroimaging Techniques and ApplicationsAdvanced MRI Techniques and Applications

Cited by 1,635

MRtrix: Diffusion tractography in crossing fiber regions

Tournier, J., Calamante, F., & Connelly, A. (2012) · International Journal of Imaging Systems and Technology

Advanced Neuroimaging Techniques and ApplicationsFunctional Brain Connectivity Studies

Cited by 1,370

Anatomically-constrained tractography: improved diffusion MRI streamlines tractography through effective use of anatomical information

Smith, R. E., Tournier, J.-D., Calamante, F., & Connelly, A. (2012) · NeuroImage

Advanced Neuroimaging Techniques and ApplicationsFunctional Brain Connectivity Studies

Cited by 1,216

SIFT: Spherical-deconvolution informed filtering of tractograms

Smith, R. E., Tournier, J.-D., Calamante, F., & Connelly, A. (2013) · NeuroImage

Advanced Neuroimaging Techniques and ApplicationsFunctional Brain Connectivity Studies

Cited by 752

Determination of the appropriate b value and number of gradient directions for high‐angular‐resolution diffusion‐weighted imaging

Tournier, J. ‐., Calamante, F., & Connelly, A. (2013) · NMR in Biomedicine

Advanced Neuroimaging Techniques and ApplicationsAdvanced MRI Techniques and Applications

Cited by 403

The effects of SIFT on the reproducibility and biological accuracy of the structural connectome

Smith, R. E., Tournier, J.-D., Calamante, F., & Connelly, A. (2015) · NeuroImage

Advanced Neuroimaging Techniques and ApplicationsFunctional Brain Connectivity Studies

Cited by 266

The contribution of geometry to the human connectome

Roberts, J. A., Perry, A., Lord, A. R., Roberts, G., Mitchell, P. B., Smith, R. E., Calamante, F., & Breakspear, M. (2016) · NeuroImage

Functional Brain Connectivity StudiesAdvanced Neuroimaging Techniques and Applications

Cited by 213

Tractography dissection variability: what happens when 42 groups dissect 14 white matter bundles on the same dataset?

Schilling, K. G., Rheault, F., Petit, L., Hansen, C. B., Nath, V., Yeh, F.-C., Girard, G., Barakovic, M., Rafael-Patino, J., Yu, T., et al. (2021) · NeuroImage

Advanced Neuroimaging Techniques and ApplicationsFunctional Brain Connectivity Studies

Cited by 182

Limitations and requirements of diffusion tensor fiber tracking: an assessment using simulations

Tournier, J. ‐., Calamante, F., King, M. D., Gadian, D. G., & Connelly, A. (2002) · Magnetic Resonance in Medicine

Advanced Neuroimaging Techniques and ApplicationsFunctional Brain Connectivity Studies

Cited by 114

Is removal of weak connections necessary for graph-theoretical analysis of dense weighted structural connectomes from diffusion MRI?

Civier, O., Smith, R. E., Yeh, C.-H., Connelly, A., & Calamante, F. (2019) · NeuroImage

Functional Brain Connectivity StudiesAdvanced Neuroimaging Techniques and Applications

Cited by 95

Diffusion MRI tractography for neurosurgery: The basics, current state, technical reliability and challenges

Yang, J. Y.-M., Yeh, C.-H., Poupon, C., & Calamante, F. (2021) · Physics in Medicine & Biology

Advanced Neuroimaging Techniques and ApplicationsFunctional Brain Connectivity Studies

Cited by 80

Graph analysis of resting-state ASL perfusion MRI data: Nonlinear correlations among CBF and network metrics

Liang, X., Connelly, A., & Calamante, F. (2014) · NeuroImage

Functional Brain Connectivity StudiesAdvanced Neuroimaging Techniques and Applications

Cited by 48