Benjamin A. Orkild

11 papers Journal 3Unranked 8

Year	Rank	Type	Title / Venue / Authors
2024	—	`conf`	HAMIL-QA: Hierarchical Approach to Multiple Instance Learning for Atrial LGE MRI Quality Assessment. MICCAI (1) K. M. Arefeen Sultan, Md. Hasibul Husain Hisham, Benjamin A. Orkild, Alan Morris, Eugene G. Kholmovski, Erik Bieging, Eugene Kwan, Ravi Ranjan, Edward V. R. DiBella, Shireen Y. Elhabian
2024	J	`jnl`	HAMIL-QA: Hierarchical Approach to Multiple Instance Learning for Atrial LGE MRI Quality Assessment. CoRR K. M. Arefeen Sultan, Md. Hasibul Husain Hisham, Benjamin A. Orkild, Alan Morris, Eugene G. Kholmovski, Erik Bieging, Eugene Kwan, Ravi Ranjan, Edward V. R. DiBella, Shireen Y. Elhabian
2023	—	`conf`	A Grid Search of Fibrosis Thresholds for Uncertainty Quantification in Atrial Flutter Simulations. CinC Benjamin A. Orkild, Jake A. Bergquist, Eric Paccione, Matthias Lange, Eugene Kwan, Bram Hunt, Rob S. MacLeod, Akil Narayan, Ravi Ranjan
2023	—	`conf`	Effects of Biventricular Pacing Locations on Anti-Tachycardia Pacing Success in a Patient-Specific Model. CinC Eric Paccione, Matthias Lange, Benjamin A. Orkild, Jake A. Bergquist, Eugene Kwan, Bram Hunt, Derek J. Dosdall, Robert S. MacLeod, Ravi Ranjan
2023	—	`conf`	Transfer Learning for Improved Classification of Drivers in Atrial Fibrillation. CinC Bram Hunt, Eugene Kwan, Tolga Tasdizen, Jake Bergquist, Matthias Lange, Benjamin A. Orkild, Robert S. MacLeod, Derek J. Dosdall, Ravi Ranjan
2023	—	`conf`	Two-Stage Deep Learning Framework for Quality Assessment of Left Atrial Late Gadolinium Enhanced MRI Images. STACOM@MICCAI K. M. Arefeen Sultan, Benjamin A. Orkild, Alan Morris, Eugene G. Kholmovski, Erik Bieging, Eugene Kwan, Ravi Ranjan, Edward V. R. Di Bella, Shireen Y. Elhabian
2023	J	`jnl`	Two-Stage Deep Learning Framework for Quality Assessment of Left Atrial Late Gadolinium Enhanced MRI Images. CoRR K. M. Arefeen Sultan, Benjamin A. Orkild, Alan Morris, Eugene G. Kholmovski, Erik Bieging, Eugene Kwan, Ravi Ranjan, Edward DiBella, Shireen Y. Elhabian
2023	—	`conf`	Uncertainty Quantification of the Effect of Variable Conductivity in Ventricular Fibrotic Regions on Ventricular Tachycardia. CinC Jake A. Bergquist, Matthias Lange, Brian Zenger, Benjamin A. Orkild, Eric Paccione, Eugene Kwan, Bram Hunt, Jiawei Dong, Rob S. MacLeod, Akil Narayan, Ravi Ranjan
2022	—	`conf`	A Sliding Window Approach to Regularization in Electrocardiographic Imaging. CinC Benjamin A. Orkild, Jake A. Bergquist, Lindsay C. Rupp, Anna Busatto, Brian Zenger, Wilson W. Good, Jaume Coll-Font, Rob S. MacLeod
2022	—	`conf`	Statistical Shape Modeling of Biventricular Anatomy with Shared Boundaries. STACOM@MICCAI Krithika Iyer, Alan Morris, Brian Zenger, Karthik Karanth, Benjamin A. Orkild, Oleksandre Korshak, Shireen Y. Elhabian
2022	J	`jnl`	Statistical Shape Modeling of Biventricular Anatomy with Shared Boundaries. CoRR Krithika Iyer, Alan Morris, Brian Zenger, Karthik Karanth, Benjamin A. Orkild, Oleksandre Korshak, Shireen Y. Elhabian

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.