Bahram Jafrasteh
Bahram Jafrasteh
Postdoctoral Associate at Weill Cornell Medicine
Verified email at
Cited by
Cited by
A hybrid simultaneous perturbation artificial bee colony and back-propagation algorithm for training a local linear radial basis neural network on ore grade estimation
B Jafrasteh, N Fathianpour
Neurocomputing 235, 217-227, 2017
Comparison of machine learning methods for copper ore grade estimation
B Jafrasteh, N Fathianpour, A Suárez
Computational Geosciences 22, 1371-1388, 2018
Optimal fuzzy load frequency controller with simultaneous auto-tuned membership functions and fuzzy control rules
AA Zamani, E Bijami, F Sheikholeslam, B Jafrasteh
Turkish Journal of Electrical Engineering and Computer Sciences 22 (1), 66-86, 2014
Gaussian processes for missing value imputation
B Jafrasteh, D Hernández-Lobato, SP Lubián-López, ...
Knowledge-Based Systems 273, 110603, 2023
Optimal location of additional exploratory drillholes using a fuzzy-artificial bee colony algorithm
B Jafrasteh, N Fathianpour
Arabian Journal of Geosciences 10 (9), 1-16, 2017
Advanced machine learning methods for copper ore grade estimation
B Jafrasteh, N Fathianpour, A Suárez
Near Surface Geoscience 2016-22nd European Meeting of Environmental and …, 2016
Automatic extraction of geometrical characteristics hidden in ground‐penetrating radar sectional images using simultaneous perturbation artificial bee colony algorithm
B Jafrasteh, N Fathianpour
Geophysical Prospecting 65 (1), 324-336, 2017
Generative adversarial networks as a novel approach for tectonic fault and fracture extraction in high resolution satellite and airborne optical images
B Jafrasteh, I Manighetti, J Zerubia
ISPRS International Archives of the Photogrammetry, Remote Sensing and …, 2020
Objective functions from Bayesian optimization to locate additional drillholes
B Jafrasteh, A Suárez
Computers & Geosciences 147, 104674, 2021
Input Dependent Sparse Gaussian Processes
B Jafrasteh, C Villacampa-Calvo, D Hernandez-Lobato
Proceedings of the 39th International Conference on Machine Learning 162 …, 2022
A deep sift convolutional neural networks for total brain volume estimation from 3D ultrasound images
B Jafrasteh, SP Lubián-López, I Benavente-Fernández
Computer Methods and Programs in Biomedicine 242, 107805, 2023
Melage: A purely python based neuroimaging software (neonatal)
B Jafrasteh, SPL López, IB Fernández
arXiv preprint arXiv:2309.07175, 2023
Enhanced Spatial Fuzzy C-Means Algorithm for Brain Tissue Segmentation in T1 Images
B Jafrasteh, M Lubián-Gutiérrez, SP Lubián-López, ...
Neuroinformatics, 1-14, 2024
GAN and U-net abilities to automate tectonic fault mapping in remote sensing optical images
I Manighetti, B Jafrasteh, J Zerubia
AGU Fall Meeting Abstracts 2020, S056-08, 2020
Geometrical parameter extraction of cylindrical buried objects in GPR sectional images using a modified genetic algorithm
B Jafrasteh, N Fathianpour, SH Tabatabaei
Journal of the Earth and Space Physics 41 (1), 63-73, 2015
Mask-Guided Attention U-Net for Enhanced Neonatal Brain Extraction and Image Preprocessing
B Jafrasteh, SP Lubian-Lopez, E Trimarco, MR Ruiz, CR Barrios, ...
arXiv preprint arXiv:2406.17709, 2024
Is motor outcome related to thalamic and brain volume at school age in children born preterm
M Crotti, M Lubián-Gutiérrez, B Jafrasteh, E Trimarco, SP Lubiań-Lopez, ...
Organization for Human Brain Mapping, Date: 2023/07/22-2023/07/26, Location …, 2023
Automatic measurements of the corpus callosum in the follow-up of preterm children: Methodology and validation.
JS Viana, M Lubián, B Jafrasteh, SP Lubián-López, T Billiet, E Ortibus, ...
DETERMINED, 18-27, 2022
Thalamic features extraction and analysis in magnetic resonance imaging of preterm infants.
E Trimarco, B Jafrasteh, SP Lubián-López, I Benavente-Fernández
DETERMINED, 167-178, 2022
استخراج پارامترهای هندسی اشیاء مدفون استوانهای در تصاویر GPR با استفاده از الگوریتم ژنتیک بهینه شده
جفرسته, فتحیانپور, طباطبایی
فیزیک زمین و فضا 41 (1), 63-73, 2015
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