Ecosse Lamoureux

11 papers Misc 1Journal 6Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	An integrated language-vision foundation model for conversational diagnostics and triaging in primary eye care. CoRR Zhi Da Soh, Yang Bai, Kai Yu, Yang Zhou, Xiaofeng Lei, Sahil Thakur, Zann Lee, Lee Ching Linette Phang, Qingsheng Peng, Cancan Xue, Rachel Chong, Quan V. Hoang, Lavanya Raghavan, Yih Chung Tham, Charumathi Sabanayagam, Wei-Chi Wu, Ming-Chih Ho, Jiangnan He, Preeti Gupta, Ecosse Lamoureux, Seang Mei Saw, Vinay Nangia, Songhomitra Panda-Jonas, Jie Xu, Ya Xing Wang, Xinxing Xu, Jost B. Jonas, Tien Yin Wong, Rick Siow Mong Goh, Yong Liu, Ching-Yu Cheng
2019	J	`jnl`	Deep learning in estimating prevalence and systemic risk factors for diabetic retinopathy: a multi-ethnic study. npj Digit. Medicine Daniel S. W. Ting, Carol Yim-lui Cheung, Quang Duc Nguyen, Charumathi Sabanayagam, Gilbert Lim, Zhan Wei Lim, Gavin Siew Wei Tan, Yu Qiang Soh, Leopold Schmetterer, Ya Xing Wang, Jost B. Jonas, Rohit Varma, Mong-Li Lee, Wynne Hsu, Ecosse Lamoureux, Ching-Yu Cheng, Tien Yin Wong
2018	—	`conf`	Artificial Intelligence Using Deep Learning in Classifying Side of the Eyes and Width of Field for Retinal Fundus Photographs. ACCV Workshops Valentina Bellemo, Michelle Yuen Ting Yip, Yuchen Xie, Xin Qi Lee, Quang Duc Nguyen, Haslina Hamzah, Jinyi Ho, Gilbert Lim, Dejiang Xu, Mong-Li Lee, Wynne Hsu, Renata Garcia-Franco, Geeta Menon, Ecosse Lamoureux, Ching Yu Cheng, Tien Yin Wong, Daniel Shu Wei Ting
2017	J	`jnl`	An anomaly detection approach for the identification of DME patients using spectral domain optical coherence tomography images. Comput. Methods Programs Biomed. Désiré Sidibé, Shrinivasan Sankar, Guillaume Lemaitre, Mojdeh Rastgoo, Joan Massich, Carol Yim-lui Cheung, Gavin Siew Wei Tan, Dan Milea, Ecosse Lamoureux, Tien Yin Wong, Fabrice Mériaudeau
2016	—	`conf`	Classification of SD-OCT volumes for DME detection: an anomaly detection approach. Computer-Aided Diagnosis S. Sankar, Désiré Sidibé, Y. Cheung, Tien Yin Wong, Ecosse Lamoureux, Dan Milea, Fabrice Mériaudeau
2016	—	`conf`	Classification of SD-OCT volumes with multi pyramids, LBP and HOG descriptors: Application to DME detections. EMBC Khaled Alsaih, Guillaume Lemaitre, Joan Massich Vall, Mojdeh Rastgoo, Désiré Sidibé, Tien Yin Wong, Ecosse Lamoureux, Dan Milea, Carol Yim-lui Cheung, Fabrice Mériaudeau
2014	J	`jnl`	Retinal artery and venular caliber grading: A semi-automated evaluation tool. Comput. Biol. Medicine Alauddin Bhuiyan, Chandan K. Karmakar, Ryo Kawasaki, Ecosse Lamoureux, Kotagiri Ramamohanarao, Yogesan Kanagasingam, Tien Yin Wong
2013	J	`jnl`	Retinal artery-vein caliber grading using color fundus imaging. Comput. Methods Programs Biomed. Alauddin Bhuiyan, Ryo Kawasaki, Ecosse Lamoureux, Kotagiri Ramamohanarao, Tien Yin Wong
2011	—	`conf`	A New and Efficient Vessel Segmentation Method from Color Retinal Images. BIOSIGNALS Alauddin Bhuiyan, Ryo Kawasaki, Ecosse Lamoureux, Kotagiri Ramamohanarao, Tien Yin Wong
2011	J	`jnl`	Retinal Image Matching Using Hierarchical Vascular Features. Comput. Intell. Neurosci. Alauddin Bhuiyan, Ecosse Lamoureux, Baikunth Nath, Kotagiri Ramamohanarao, Tien Yin Wong
2010	Misc	`conf`	Vessel Segmentation from Color Retinal Images with Varying Contrast and Central Reflex Properties. DICTA Alauddin Bhuiyan, Ryo Kawasaki, Ecosse Lamoureux, Tien Yin Wong, Kotagiri Ramamohanarao

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.