activity
20142024
most citedSpherical deconvolution of multichannel diffusion MRI data with non-Gaussian noise models and spatial regularization

77 citations · 88 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CV2024★ 2 cited

BioFace3D: A fully automatic pipeline for facial biomarkers extraction of 3D face reconstructions segmented from MRI

Álvaro Heredia-Lidón, Luis M. Echeverry-Quiceno, Alejandro González +6

Facial dysmorphologies have emerged as potential critical indicators in the diagnosis and prognosis of genetic, psychotic and rare disorders. While in certain conditions these dysm…

q-bio.QM2023★ 2 cited

Classification of Major Depressive Disorder Using Vertex-Wise Brain Sulcal Depth, Curvature, and Thickness with a Deep and a Shallow Learning Model

Roberto Goya-Maldonado, Tracy Erwin-Grabner, Ling-Li Zeng +84

Major depressive disorder (MDD) is a complex psychiatric disorder that affects the lives of hundreds of millions of individuals around the globe. Even today, researchers debate if…

q-bio.QM2022★ 7 cited

Multi-site benchmark classification of major depressive disorder using machine learning on cortical and subcortical measures

Vladimir Belov, Tracy Erwin-Grabner, Ali Saffet Gonul +63

Machine learning (ML) techniques have gained popularity in the neuroimaging field due to their potential for classifying neuropsychiatric disorders. However, the diagnostic predict…

physics.med-ph2014★ 77 cited

Spherical deconvolution of multichannel diffusion MRI data with non-Gaussian noise models and spatial regularization

Erick J. Canales-Rodríguez, Alessandro Daducci, Stamatios N. Sotiropoulos +11

Spherical deconvolution (SD) methods are widely used to estimate the intra-voxel white-matter fiber orientations from diffusion MRI data. However, while some of these methods assum…