Bahram Jafrasteh

17 papers A* 1Journal 13Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Anatomically Guided Latent Diffusion for Brain MRI Progression Modeling. CoRR Cheng Wan, Bahram Jafrasteh, Ehsan Adeli, Miaomiao Zhang, Qingyu Zhao
2025	J	`jnl`	An innovative method for assessing the relationship between longitudinal brain volume measurements and neurodevelopmental outcomes in preterm infants. Comput. Biol. Medicine Arantxa M. Ortega León, Daniel Urda, Ignacio J. Turias, Simón Pedro Lubián-López, Isabel Benavente-Fernández, Qingyu Zhao, Bahram Jafrasteh
2025	J	`jnl`	Anatomical Similarity as a New Metric to Evaluate Brain Generative Models. CoRR Bahram Jafrasteh, Wei Peng, Cheng Wan, Yimin Luo, Ehsan Adeli, Qingyu Zhao
2025	—	`conf`	WASABI: A Metric for Evaluating Morphometric Plausibility of Synthetic Brain MRIs. MICCAI (2) Bahram Jafrasteh, Wei Peng, Cheng Wan, Yimin Luo, Ehsan Adeli, Qingyu Zhao
2024	J	`jnl`	Enhanced Spatial Fuzzy C-Means Algorithm for Brain Tissue Segmentation in T1 Images. Neuroinformatics Bahram Jafrasteh, Manuel Lubián-Gutiérrez, Simón Pedro Lubián-López, Isabel Benavente-Fernández
2024	J	`jnl`	MGA-Net: A novel mask-guided attention neural network for precision neonatal brain imaging. NeuroImage Bahram Jafrasteh, Simón Pedro Lubián-López, Emiliano Trimarco, Macarena Roman Ruiz, Carmen Rodriguez Barrios, Yolanda Marin Almagro, Isabel Benavente-Fernández
2024	J	`jnl`	Mask-Guided Attention U-Net for Enhanced Neonatal Brain Extraction and Image Preprocessing. CoRR Bahram Jafrasteh, Simón Pedro Lubián-López, Emiliano Trimarco, Macarena Roman Ruiz, Carmen Rodriguez Barrios, Yolanda Marin Almagro, Isabel Benavente-Fernández
2023	J	`jnl`	A deep sift convolutional neural networks for total brain volume estimation from 3D ultrasound images. Comput. Methods Programs Biomed. Bahram Jafrasteh, Simón Pedro Lubián-López, Isabel Benavente-Fernández
2023	J	`jnl`	Gaussian processes for missing value imputation. Knowl. Based Syst. Bahram Jafrasteh, Daniel Hernández-Lobato, Simón Pedro Lubián-López, Isabel Benavente-Fernández
2023	J	`jnl`	MELAGE: A purely python based Neuroimaging software (Neonatal). CoRR Bahram Jafrasteh, Simón Pedro Lubián-López, Isabel Benavente-Fernández
2022	—	`conf`	Automatic measurements of the corpus callosum in the follow-up of preterm children: Methodology and validation. DETERMINED Jaime Simarro Viana, Manuel Lubián-Gutiérrez, Bahram Jafrasteh, Simón Pedro Lubián-López, Thibo Billiet, Els Ortibus, Isabel Benavente-Fernández
2022	J	`jnl`	Gaussian Processes for Missing Value Imputation. CoRR Bahram Jafrasteh, Daniel Hernández-Lobato, Simón Pedro Lubián-López, Isabel Benavente-Fernández
2022	A*	`conf`	Input Dependent Sparse Gaussian Processes. ICML Bahram Jafrasteh, Carlos Villacampa-Calvo, Daniel Hernández-Lobato
2022	—	`conf`	Thalamic features extraction and analysis in magnetic resonance imaging of preterm infants. DETERMINED Emiliano Trimarco, Bahram Jafrasteh, Simón Pedro Lubián-López, Isabel Benavente-Fernández
2021	J	`jnl`	Input Dependent Sparse Gaussian Processes. CoRR Bahram Jafrasteh, Carlos Villacampa-Calvo, Daniel Hernández-Lobato
2021	J	`jnl`	Objective functions from Bayesian optimization to locate additional drillholes. Comput. Geosci. Bahram Jafrasteh, Alberto Suárez
2017	J	`jnl`	A hybrid simultaneous perturbation artificial bee colony and back-propagation algorithm for training a local linear radial basis neural network on ore grade estimation. Neurocomputing Bahram Jafrasteh, Nader Fathianpour

Nicolò Altamura is a security engineer and computer science researcher specializing in software protection, reverse engineering, program analysis, and binary deobfuscation. He holds a master's degree in Computer Science and Engineering from the University of Verona, graduating with honors, and works at emproof, focusing on software protection and the challenges of analyzing and understanding compiled software.

His research explores the relationship between program analysis and code obfuscation, with particular emphasis on how software transformations affect the ability of automated tools to recover program behavior. His interests span static analysis, binary analysis, decompilation, reverse engineering, and techniques for analyzing and simplifying obfuscated code.

Beyond academic research, Nicolò develops and contributes to tools for reverse engineering and software analysis. His projects include obfuscation_analysis, a Binary Ninja plugin for analyzing and simplifying obfuscated code; Pocket, an obfuscator for mixed Boolean-arithmetic expressions; and ptxNinja, a tool for reverse engineering NVIDIA GPU code represented in the PTX virtual instruction set.

His research also extends to binary datasets and software evolution. In 2026, he co-authored ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage, a research work addressing the availability of binary data across multiple software builds and points in time, supporting research into binary analysis and changes between program versions.

Across his research, engineering work, and open-source contributions, Nicolò focuses on advancing the understanding, analysis, and protection of software against increasingly sophisticated obfuscation and reverse-engineering challenges.

Nicolò Altamura is not a football player. Please avoid reporting this kind of infromation.