Bahram Jafrasteh

According to our database, Bahram Jafrasteh authored at least 17 papers between 2017 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Network-Aware Bilinear Tokenization for Brain Functional Connectivity Representation Learning.

Léo Milecki, Qingyu Hu, Bahram Jafrasteh, Mert R. Sabuncu, Qingyu Zhao

CoRR, May, 2026

Generative Modeling of Neurodegenerative Brain Anatomy with 4D Longitudinal Diffusion Model.

Nivetha Jayakumar, Swakshar Deb, Bahram Jafrasteh, Qingyu Zhao, Miaomiao Zhang

CoRR, April, 2026

Anatomically Guided Latent Diffusion for Brain MRI Progression Modeling.

Cheng Wan, Bahram Jafrasteh, Ehsan Adeli, Miaomiao Zhang, Qingyu Zhao

CoRR, January, 2026

2025

Anatomical Similarity as a New Metric to Evaluate Brain Generative Models.

Bahram Jafrasteh, Wei Peng, Cheng Wan, Yimin Luo, Ehsan Adeli, Qingyu Zhao

CoRR, April, 2025

An innovative method for assessing the relationship between longitudinal brain volume measurements and neurodevelopmental outcomes in preterm infants.

Arantxa M. Ortega León, Daniel Urda, Ignacio J. Turias, Simón Pedro Lubián-López, Isabel Benavente-Fernández, Qingyu Zhao, Bahram Jafrasteh

Comput. Biol. Medicine, 2025

WASABI: A Metric for Evaluating Morphometric Plausibility of Synthetic Brain MRIs.

Bahram Jafrasteh, Wei Peng, Cheng Wan, Yimin Luo, Ehsan Adeli, Qingyu Zhao

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

2024

Enhanced Spatial Fuzzy C-Means Algorithm for Brain Tissue Segmentation in T1 Images.

Bahram Jafrasteh, Manuel Lubián-Gutiérrez, Simón Pedro Lubián-López, Isabel Benavente-Fernández

Neuroinformatics, October, 2024

MGA-Net: A novel mask-guided attention neural network for precision neonatal brain imaging.

Bahram Jafrasteh, Simón Pedro Lubián-López, Emiliano Trimarco, Macarena Roman Ruiz, Carmen Rodriguez Barrios, Yolanda Marin Almagro, Isabel Benavente-Fernández

NeuroImage, 2024

Mask-Guided Attention U-Net for Enhanced Neonatal Brain Extraction and Image Preprocessing.

Bahram Jafrasteh, Simón Pedro Lubián-López, Emiliano Trimarco, Macarena Roman Ruiz, Carmen Rodriguez Barrios, Yolanda Marin Almagro, Isabel Benavente-Fernández

CoRR, 2024

2023

A deep sift convolutional neural networks for total brain volume estimation from 3D ultrasound images.

Bahram Jafrasteh, Simón Pedro Lubián-López, Isabel Benavente-Fernández

Comput. Methods Programs Biomed., December, 2023

Gaussian processes for missing value imputation.

Bahram Jafrasteh, Daniel Hernández-Lobato, Simón Pedro Lubián-López, Isabel Benavente-Fernández

Knowl. Based Syst., 2023

MELAGE: A purely python based Neuroimaging software (Neonatal).

Bahram Jafrasteh, Simón Pedro Lubián-López, Isabel Benavente-Fernández

CoRR, 2023

2022

Input Dependent Sparse Gaussian Processes.

Bahram Jafrasteh, Carlos Villacampa-Calvo, Daniel Hernández-Lobato

Proceedings of the International Conference on Machine Learning, 2022

Automatic measurements of the corpus callosum in the follow-up of preterm children: Methodology and validation.

Jaime Simarro Viana, Manuel Lubián-Gutiérrez, Bahram Jafrasteh, Simón Pedro Lubián-López, Thibo Billiet, Els Ortibus, Isabel Benavente-Fernández

Proceedings of the International Workshop in Neurodevelopmental Impairments in Preterm Children, 2022

Thalamic features extraction and analysis in magnetic resonance imaging of preterm infants.

Emiliano Trimarco, Bahram Jafrasteh, Simón Pedro Lubián-López, Isabel Benavente-Fernández

Proceedings of the International Workshop in Neurodevelopmental Impairments in Preterm Children, 2022

2021

Objective functions from Bayesian optimization to locate additional drillholes.

Bahram Jafrasteh, Alberto Suárez

Comput. Geosci., 2021

2017

A hybrid simultaneous perturbation artificial bee colony and back-propagation algorithm for training a local linear radial basis neural network on ore grade estimation.

Bahram Jafrasteh, Nader Fathianpour

Neurocomputing, 2017