2 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.LG2024
Dimensional Neuroimaging Endophenotypes: Neurobiological Representations of Disease Heterogeneity Through Machine Learning
Junhao Wen, Mathilde Antoniades, Zhijian Yang +4
Machine learning has been increasingly used to obtain individualized neuroimaging signatures for disease diagnosis, prognosis, and response to treatment in neuropsychiatric and neu…
q-bio.QM2022★ 2 cited
Robust Hierarchical Patterns for identifying MDD patients: A Multisite Study
Dushyant Sahoo, Mathilde Antoniades, Cynthia H. Y. Fu +1
Many supervised machine learning frameworks have been proposed for disease classification using functional magnetic resonance imaging (fMRI) data, producing important biomarkers. M…