Laura Antonelli

24 papers C 1Misc 1Journal 16Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A three-step framework for noisy image segmentation in brain MRI. Appl. Math. Comput. Laura Antonelli, Valentina De Simone, Marco Viola
2024	J	`jnl`	KneeBones3Dify: Open-source software for segmentation and 3D reconstruction of knee bones from MRI data. SoftwareX Lucia Maddalena, Diego Romano, Francesco Gregoretti, Gianluca De Lucia, Laura Antonelli, Ernesto Soscia, Gabriele Pontillo, Carla Langella, Flavio Fazioli, Carla Giusti, Rosario Varriale
2023	J	`jnl`	Cartoon-texture evolution for two-region image segmentation. Comput. Optim. Appl. Laura Antonelli, Valentina De Simone, Marco Viola
2023	—	`conf`	Segmenting MR Images Through Texture Extraction and Multiplicative Components Optimization. SSVM Laura Antonelli, Valentina De Simone, Marco Viola
2023	J	`jnl`	Special Issue on "Algorithms for Biomedical Image Analysis and Processing". Algorithms Laura Antonelli, Lucia Maddalena
2023	J	`jnl`	Special Issue on Supervised and Unsupervised Classification Algorithms - Foreword from Guest Editors. Algorithms Laura Antonelli, Mario Rosario Guarracino
2022	J	`jnl`	Artificial Intelligence for Cell Segmentation, Event Detection, and Tracking for Label-free Microscopy Imaging. Algorithms Lucia Maddalena, Laura Antonelli, Alexandra Albu, Aroj Hada, Mario Rosario Guarracino
2022	J	`jnl`	Cartoon-texture evolution for two-region image segmentation. CoRR Laura Antonelli, Valentina De Simone, Marco Viola
2021	J	`jnl`	A CUDA-based implementation of an improved SPH method on GPU. Appl. Math. Comput. Laura Antonelli, Elisa Francomano, Francesco Gregoretti
2021	J	`jnl`	A View of Regularized Approaches for Image Segmentation. CoRR Laura Antonelli, Valentina De Simone, Daniela di Serafino
2021	—	`ed.`	Euro-Par 2020: Parallel Processing Workshops - Euro-Par 2020 International Workshops, Warsaw, Poland, August 24-25, 2020, Revised Selected Papers Euro-Par Workshops Bartosz Balis, Dora B. Heras, Laura Antonelli, Andrea Bracciali, Thomas Gruber, Jin Hyun-Wook, Michael Kuhn, Stephen L. Scott, Didem Unat, Roman Wyrzykowski
2020	—	`ed.`	Euro-Par 2019: Parallel Processing Workshops - Euro-Par 2019 International Workshops, Göttingen, Germany, August 26-30, 2019, Revised Selected Papers Euro-Par Workshops Ulrich Schwardmann, Christian Boehme, Dora B. Heras, Valeria Cardellini, Emmanuel Jeannot, Antonio Salis, Claudio Schifanella, Ravi Reddy Manumachu, Dieter Schwamborn, Laura Ricci, Oh Sangyoon, Thomas Gruber, Laura Antonelli, Stephen L. Scott
2020	J	`jnl`	Spatially Adaptive Regularization in Image Segmentation. Algorithms Laura Antonelli, Valentina De Simone, Daniela di Serafino
2020	J	`jnl`	Spatially Adaptive Regularization in Image Segmentation. CoRR Laura Antonelli, Valentina De Simone, Daniela di Serafino
2019	—	`ed.`	Euro-Par 2018: Parallel Processing Workshops - Euro-Par 2018 International Workshops, Turin, Italy, August 27-28, 2018, Revised Selected Papers Euro-Par Workshops Gabriele Mencagli, Dora B. Heras, Valeria Cardellini, Emiliano Casalicchio, Emmanuel Jeannot, Felix Wolf, Antonio Salis, Claudio Schifanella, Ravi Reddy Manumachu, Laura Ricci, Marco Beccuti, Laura Antonelli, José Daniel García Sánchez, Stephen L. Scott
2019	J	`jnl`	Integrating imaging and omics data: A review. Biomed. Signal Process. Control. Laura Antonelli, Mario Rosario Guarracino, Lucia Maddalena, Mara Sangiovanni
2019	—	`conf`	Towards an Efficient Implementation of an Accurate SPH Method. NUMTA(1) Laura Antonelli, Daniela di Serafino, Elisa Francomano, Francesco Gregoretti, Marta Paliaga
2016	J	`jnl`	On the Application of the Spectral Projected Gradient Method in Image Segmentation. J. Math. Imaging Vis. Laura Antonelli, Valentina De Simone, Daniela di Serafino
2014	J	`jnl`	Algorithm 944: Talbot Suite: Parallel Implementations of Talbot's Method for the Numerical Inversion of Laplace Transforms. ACM Trans. Math. Softw. Laura Antonelli, Stefania Corsaro, Zelda Marino, Mariarosaria Rizzardi
2011	C	`conf`	Dynamic Load Balancing for High-Performance Simulations of Combustion in Engine Applications. PDP Laura Antonelli, Pasqua D'Ambra
2009	J	`jnl`	MEDITOMO: a high performance software package for 3D SPECT imaging. Int. J. Comput. Math. Almerico Murli, Luisa Carracciuolo, Luisa D'Amore, Laura Antonelli
2008	J	`jnl`	High performance edge-preserving regularization in 3D SPECT imaging. Parallel Comput. Almerico Murli, Luisa D'Amore, Luisa Carracciuolo, Marco Ceccarelli, Laura Antonelli
2007	—	`conf`	A Parallel Combustion Solver within an Operator Splitting Context for Engine Simulations on Grids. LSSC Laura Antonelli, Pasqua D'Ambra, Francesco Gregoretti, Gennaro Oliva, Paola Belardini
2002	Misc	`conf`	Total Variation Regularization for Edge Preserving 3D SPECT Imaging in High Performance Computing Environments. International Conference on Computational Science (2) Laura Antonelli, Luisa Carracciuolo, Marco Ceccarelli, Luisa D'Amore, Almerico Murli

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.