Zahra Keshavarz-Motamed

12 papers B 3Journal 6Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A doppler-exclusive computational diagnostic framework to enhance conventional 2-D clinical ultrasound with 3-D mitral valve dynamics and cardiac hemodynamics. Medical Image Anal. Nikrouz Bahadormanesh, Mohamed Abdelkhalek, Zahra Keshavarz-Motamed
2026	J	`jnl`	Precision CT-based Aortic Valve Reconstruction: Minimal Variation Geometry Invariant Parametric Reconstruction Approach for Aortic Stenosis and Bicuspid Valves. Comput. Methods Programs Biomed. Mohamed Abdelkhalek, Zahra Keshavarz-Motamed
2025	J	`jnl`	A multi-domain lattice Boltzmann method for mesh refinement with curved boundary interfaces. Comput. Phys. Commun. Mohammadali Daeian, Punya Cheema, W. Spencer Smith, Zahra Keshavarz-Motamed
2024	B	`conf`	Medical Knowledge-Guided Semi-Supervised Bi-Ventricular Segmentation. ICIP Behnam Rahmati, Shahram Shirani, Zahra Keshavarz-Motamed
2024	J	`jnl`	Redundant co-training: Semi-supervised segmentation of medical images using informative redundancy. Neurocomputing Behnam Rahmati, Shahram Shirani, Zahra Keshavarz-Motamed
2024	J	`jnl`	Semi-supervised segmentation of medical images focused on the pixels with unreliable predictions. Neurocomputing Behnam Rahmati, Shahram Shirani, Zahra Keshavarz-Motamed
2023	B	`conf`	A Novel Weakly Supervised Segmentation Approach for Rapid Left Ventricle Annotation. ICIP Behnam Rahmati, Shahram Shirani, Zahra Keshavarz-Motamed
2023	J	`jnl`	An ultrasound-exclusive non-invasive computational diagnostic framework for personalized cardiology of aortic valve stenosis. Medical Image Anal. Nikrouz Bahadormanesh, Benjamin Tomka, Mason Kadem, Seyedvahid Khodaei, Zahra Keshavarz-Motamed
2023	B	`conf`	Segmentation of the Left Ventricle for the Cardiac Phases between End-Diastole and End-Systole. ICIP Behnam Rahmati, Shahram Shirani, Zahra Keshavarz-Motamed
2015	—	`conf`	CFD analysis of unsteady flow through conjoining Aorta and aortic isthmus. EMBC Amy-Lee Gunter, Zahra Keshavarz-Motamed, Rocco Portaro, Lyes Kadem, Hoi Dick Ng
2014	—	`conf`	Normalized left ventricular workload using phase-contrast magnetic resonance imaging in patients with aortic stenosis. EMBC Julio Garcia, Zahra Keshavarz-Motamed, Romain Capoulade, Florent Le Ven, Lyes Kadem, Eric LaRose, Philippe Pibarot
2011	—	`conf`	Mathematical, numerical and experimental study in the human aorta with coexisting models of bicuspid aortic stenosis and coarctation of the aorta. EMBC Zahra Keshavarz-Motamed, Julio Garcia, Lyes Kadem

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.

In 2025, he co-authored Assessing the Effectiveness of the Tigress Obfuscator Against MOPSA and BinaryNinja, published at CheckMATE. The paper evaluates the effectiveness of obfuscation techniques and their impact on source-level static analysis and binary-level decompilation.

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.