George A. Kastis

14 papers C 1Journal 10Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Brain-Inspired Learning and the Dynamic Interplay Between Neuroscience and Computer Science. IT Prof. Nikolaos Dikaios, George A. Kastis, Nicholas E. Protonotarios
2025	J	`jnl`	Advancing breast, lung and prostate cancer research with federated learning. A systematic review. npj Digit. Medicine Anshu Ankolekar, Sebastian Boie, Maryam Abdollahyan, Emanuela Gadaleta, Seyed Alireza Hasheminasab, Guang Yang, Charles Beauville, Nikolaos Dikaios, George A. Kastis, Michael Bussmann, Claude Chelala, Sara Khalid, Hagen Kruger, Philippe Lambin, Giorgos Papanastasiou
2025	J	`jnl`	Intra-clustering analysis reveals tissue-specific mutational patterns. Comput. Methods Programs Biomed. Stamatis Choudalakis, George A. Kastis, Nikolaos Dikaios
2024	J	`jnl`	Advancing oncology with federated learning: transcending boundaries in breast, lung, and prostate cancer. A systematic review. CoRR Anshu Ankolekar, Sebastian Boie, Maryam Abdollahyan, Emanuela Gadaleta, Seyed Alireza Hasheminasab, Guang Yang, Charles Beauville, Nikolaos Dikaios, George A. Kastis, Michael Bussmann, Sara Khalid, Hagen Kruger, Philippe Lambin, Giorgos Papanastasiou
2024	J	`jnl`	Noninvasive Quantification of Glucose Metabolism in Mice Myocardium Using the Spline Reconstruction Technique. J. Imaging Alexandros Vrachliotis, Anastasios Gaitanis, Nicholas E. Protonotarios, George A. Kastis, Lena Costaridou
2022	J	`jnl`	Discrete Shearlets as a Sparsifying Transform in Low-Rank Plus Sparse Decomposition for Undersampled (k, t)-Space MR Data. J. Imaging Nicholas E. Protonotarios, Evangelia Tzampazidou, George A. Kastis, Nikolaos Dikaios
2022	J	`jnl`	Evaluation of the spline reconstruction technique for preclinical PET imaging. Comput. Methods Programs Biomed. Alexandros Vrachliotis, George A. Kastis, Nicholas E. Protonotarios, Athanasios S. Fokas, Stephan G. Nekolla, Constantinos D. Anagnostopoulos, Lena Costaridou, Anastasios Gaitanis
2022	J	`jnl`	Sigmoid and Beyond: Algebraic Activation Functions for Artificial Neural Networks Based on Solutions of a Riccati Equation. IT Prof. Nicholas E. Protonotarios, Athanassios S. Fokas, George A. Kastis, Nikolaos Dikaios
2019	C	`conf`	A Spline Approach to Parallel-Hole Collimator Deblurring for aSRT-Reconstructed SPECT Images. BIBE Nicholas E. Protonotarios, Antonios Charalambopoulos, George A. Kastis, Krzysztof Kacperski, Athanassios S. Fokas
2017	J	`jnl`	Automatic cumulative sums contour detection of FBP-reconstructed multi-object nuclear medicine images. Comput. Biol. Medicine Nicholas E. Protonotarios, George M. Spyrou, George A. Kastis
2015	—	`ch.`	Mathematical Methods in PET and SPECT Imaging. Handbook of Mathematical Methods in Imaging Athanassios S. Fokas, George A. Kastis
2009	—	`conf`	Analytical reconstructions for PET and spect employing L1-denoising. DPS Paolo Emilio Barbano, Athanassios S. Fokas, George A. Kastis
2002	J	`jnl`	Objective Comparison of Quantitative Imaging Modalities Without the Use of a Gold Standard. IEEE Trans. Medical Imaging John W. Hoppin, Matthew A. Kupinski, George A. Kastis, Eric Clarkson, Harrison H. Barrett
2001	—	`conf`	Objective Comparison of Quantitative Imaging Modalities Without the Use of a Gold Standard. IPMI John W. Hoppin, Matthew A. Kupinski, George A. Kastis, Eric Clarkson, Harrison H. Barrett

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.