Dimensional Neuroimaging Endophenotypes: Neurobiological Representations of Disease Heterogeneity Through Machine Learning
Abstract Machine learning has been increasingly used to obtain individualized
neuroimaging signatures for disease diagnosis, prognosis, and response to treatment in …
neuroimaging signatures for disease diagnosis, prognosis, and response to treatment in …
Analyzing Disease Heterogeneity via Weakly-Supervised Deep Learning
Z Yang - 2024 - search.proquest.com
Heterogeneity of brain diseases poses significant challenges for precision medicine. While a
plethora of machine learning methods have been applied to imaging data, enabling the …
plethora of machine learning methods have been applied to imaging data, enabling the …