3 citations · 6 across the 4 of their papers we have counts for
4 papers
MGA-Net: A Novel Mask-Guided Attention Neural Network for Precision Neonatal Brain Imaging
Bahram Jafrasteh, Simon Pedro Lubian-Lopez, Emiliano Trimarco +4
In this study, we introduce MGA-Net, a novel mask-guided attention neural network, which extends the U-net model for precision neonatal brain imaging. MGA-Net is designed to extrac…
MELAGE: A purely python based Neuroimaging software (Neonatal)
Bahram Jafrasteh, Simón Pedro Lubián López, Isabel Benavente Fernández
MELAGE, a pioneering Python-based neuroimaging software, emerges as a versatile tool for the visualization, processing, and analysis of medical images. Initially conceived to addre…
Gaussian Processes for Missing Value Imputation
Bahram Jafrasteh, Daniel Hernández-Lobato, Simón Pedro Lubián-López +1
Missing values are common in many real-life datasets. However, most of the current machine learning methods can not handle missing values. This means that they should be imputed be…
Input Dependent Sparse Gaussian Processes
Bahram Jafrasteh, Carlos Villacampa-Calvo, Daniel Hernández-Lobato
Gaussian Processes (GPs) are Bayesian models that provide uncertainty estimates associated to the predictions made. They are also very flexible due to their non-parametric nature.…