Benjamin M. Smith

19 papers Journal 7Unranked 12

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	KindSleep: Knowledge-Informed Diagnosis of Obstructive Sleep Apnea from Oximetry. CoRR Micky C. Nnamdi, Wenqi Shi, Cheng Wan, J. Ben Tamo, Benjamin M. Smith, Chad Purnell, May D. Wang
2025	J	`jnl`	Advancing Sleep Disorder Diagnostics: A Transformer-Based EEG Model for Sleep Stage Classification and OSA Prediction. IEEE J. Biomed. Health Informatics Cheng Wan, Micky C. Nnamdi, Wenqi Shi, Benjamin M. Smith, Chad Purnell, May D. Wang
2025	—	`conf`	KindSleep: Knowledge-Informed Diagnosis of Obstructive Sleep Apnea from Oximetry. BCB Micky C. Nnamdi, Wenqi Shi, Cheng Wan, J. Ben Tamo, Benjamin M. Smith, Chad Purnell, May Dongmei Wang
2025	J	`jnl`	Multi-View Transformers for Airway-To-Lung Ratio Inference on Cardiac CT Scans: The C4R Study. CoRR Sneha N. Naik, Elsa D. Angelini, Eric A. Hoffman, Elizabeth C. Oelsner, R. Graham Barr, Benjamin M. Smith, Andrew F. Laine
2025	—	`conf`	Multi-View Transformers for Airway-to-Lung Ratio Inference on Cardiac CT Scans: The C4R Study. ISBI Sneha N. Naik, Elsa D. Angelini, Eric A. Hoffman, Elizabeth C. Oelsner, R. Graham Barr, Benjamin M. Smith, Andrew F. Laine
2024	—	`conf`	Improving A Large Healthcare System Research Data Warehouse Using OHDSI's Data Quality Dashboard. BHI Benoit Louis Marteau, Andrew Hornback, Yishan Zhong, Christian Lowson, Jason Woloff, Benjamin M. Smith, Coleman Hilton, May D. Wang
2024	—	`conf`	Robust Quantification of Percent Emphysema on CT Via Domain Attention: The Multi-Ethnic Study of Atherosclerosis (MESA) Lung Study. ISBI Xuzhe Zhang, Elsa D. Angelini, Eric A. Hoffman, Karol E. Watson, Benjamin M. Smith, R. Graham Barr, Andrew F. Laine
2024	J	`jnl`	Robust Quantification of Percent Emphysema on CT via Domain Attention: the Multi-Ethnic Study of Atherosclerosis (MESA) Lung Study. CoRR Xuzhe Zhang, Elsa D. Angelini, Eric A. Hoffman, Karol E. Watson, Benjamin M. Smith, R. Graham Barr, Andrew F. Laine
2024	—	`conf`	Unsupervised Airway Tree Clustering with Deep Learning: the Multi-Ethnic Study of Atherosclerosis (Mesa) Lung Study. ISBI Sneha N. Naik, Elsa D. Angelini, R. Graham Barr, Norrina Allen, Alain Bertoni, Eric A. Hoffman, Ani Manichaikul, Jim Pankow, Wendy Post, Yifei Sun, Karol E. Watson, Benjamin M. Smith, Andrew F. Laine
2023	—	`conf`	Multi-View Cnn For Total Lung Volume Inference On Cardiac Computed Tomography. ISBI Artur Wysoczanski, Elsa D. Angelini, Yifei Sun, Benjamin M. Smith, Eric A. Hoffman, Karen Stukovsky, Matthew J. Budoff, Karol E. Watson, John Jeffrey Carr, Elizabeth C. Oelsner, R. Graham Barr, Andrew F. Laine
2021	J	`jnl`	Novel Subtypes of Pulmonary Emphysema Based on Spatially-Informed Lung Texture Learning: The Multi-Ethnic Study of Atherosclerosis (MESA) COPD Study. IEEE Trans. Medical Imaging Jie Yang, Elsa D. Angelini, Pallavi P. Balte, Eric A. Hoffman, John H. M. Austin, Benjamin M. Smith, R. Graham Barr, Andrew F. Laine
2021	—	`conf`	Unsupervised Clustering Of Airway Tree Structures On High-Resolution CT: The Mesa Lung Study. ISBI Artur Wysoczanski, Elsa D. Angelini, Benjamin M. Smith, Eric A. Hoffman, Grant T. Hiura, Yifei Sun, R. Graham Barr, Andrew F. Laine
2020	J	`jnl`	Novel Subtypes of Pulmonary Emphysema Based on Spatially-Informed Lung Texture Learning. CoRR Jie Yang, Elsa D. Angelini, Pallavi P. Balte, Eric A. Hoffman, John H. M. Austin, Benjamin M. Smith, R. Graham Barr, Andrew F. Laine
2019	—	`conf`	Enhanced Generative Model for Unsupervised Discovery of Spatially-Informed Macroscopic Emphysema: The Mesa Copd Study. ISBI Yu Gan, Jie Yang, Benjamin M. Smith, Pallavi P. Balte, Eric A. Hoffman, Christine P. Hendon, R. Graham Barr, Andrew F. Laine, Elsa D. Angelini
2017	—	`conf`	Generative method to discover emphysema subtypes with unsupervised learning using lung macroscopic patterns (LMPS): The MESA COPD study. ISBI Jingkuan Song, Jie Yang, Benjamin M. Smith, Pallavi P. Balte, Eric A. Hoffman, R. Graham Barr, Andrew F. Laine, Elsa D. Angelini
2017	—	`conf`	Unsupervised Discovery of Spatially-Informed Lung Texture Patterns for Pulmonary Emphysema: The MESA COPD Study. MICCAI (1) Jie Yang, Elsa D. Angelini, Pallavi P. Balte, Eric A. Hoffman, John H. M. Austin, Benjamin M. Smith, Jingkuan Song, R. Graham Barr, Andrew F. Laine
2016	—	`conf`	Explaining Radiological Emphysema Subtypes with Unsupervised Texture Prototypes: MESA COPD Study. MCV/BAMBI@MICCAI Jie Yang, Elsa D. Angelini, Benjamin M. Smith, John H. M. Austin, Eric A. Hoffman, David A. Bluemke, R. Graham Barr, Andrew F. Laine
2016	J	`jnl`	Explaining Radiological Emphysema Subtypes with Unsupervised Texture Prototypes: MESA COPD Study. CoRR Jie Yang, Elsa D. Angelini, Benjamin M. Smith, John H. M. Austin, Eric A. Hoffman, David A. Bluemke, R. Graham Barr, Andrew F. Laine
2015	—	`conf`	Sparse sampling and unsupervised learning of lung texture patterns in pulmonary emphysema: MESA COPD study. ISBI Yrjö Tapio Hame, Elsa D. Angelini, Megha A. Parikh, Benjamin M. Smith, Eric A. Hoffman, R. Graham Barr, Andrew F. Laine

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.