Ovidiu C. Andronesi

11 papers Journal 10Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Conditional Denoising Diffusion Model-Based Robust MR Image Reconstruction from Highly Undersampled Data. CoRR Mohammed Alsubaie, Wenxi Liu, Linxia Gu, Ovidiu C. Andronesi, Sirani M. Perera, Xianqi Li
2025	J	`jnl`	Deep learning water-unsuppressed MRSI at ultra-high field for simultaneous quantitative metabolic, susceptibility and myelin water imaging. CoRR Paul J. Weiser, Jiye Kim, Jongho Lee, Amirmohammad Shamaei, Gulnur Ungan, Malte Hoffmann, Antoine Klauser, Berkin Bilgic, Ovidiu C. Andronesi
2025	J	`jnl`	Deep-ER: Deep Learning ECCENTRIC Reconstruction for fast high-resolution neurometabolic imaging. NeuroImage Paul Weiser, Georg Langs, Wolfgang Bogner, Stanislav Motyka, Bernhard Strasser, Polina Golland, Nalini M. Singh, Jorg Dietrich, Erik Uhlmann, Tracy Batchelor, Daniel Cahill, Malte Hoffmann, Antoine Klauser, Ovidiu C. Andronesi
2025	J	`jnl`	Missing Data Estimation for MR Spectroscopic Imaging via Mask-Free Deep Learning Methods. CoRR Tan-Hanh Pham, Ovidiu C. Andronesi, Xianqi Li, Kim-Doang Nguyen
2024	—	`conf`	A Deep Learning Approach for Placing Magnetic Resonance Spectroscopy Voxels in Brain Tumors. MICCAI (3) Sangyoon Lee, Francesca Branzoli, Thanh Nguyen, Ovidiu C. Andronesi, Alexander Lin, Roberto Liserre, Gerd Melkus, Clark Chen, Malgorzata Marjanska, Patrick J. Bolan
2024	J	`jnl`	Deep-ER: Deep Learning ECCENTRIC Reconstruction for fast high-resolution neurometabolic imaging. CoRR Paul Weiser, Georg Langs, Wolfgang Bogner, Stanislav Motyka, Bernhard Strasser, Polina Golland, Nalini M. Singh, Jorg Dietrich, Erik Uhlmann, Tracy Batchelor, Daniel Cahill, Malte Hoffmann, Antoine Klauser, Ovidiu C. Andronesi
2024	J	`jnl`	WALINET: A water and lipid identification convolutional Neural Network for nuisance signal removal in 1H MR Spectroscopic Imaging. CoRR Paul Weiser, Georg Langs, Stanislav Motyka, Wolfgang Bogner, Sébastien Courvoisier, Malte Hoffmann, Antoine Klauser, Ovidiu C. Andronesi
2019	J	`jnl`	Whole-slice mapping of GABA and GABA NeuroImage Philipp Moser, Lukas Hingerl, Bernhard Strasser, Michal Povazan, Gilbert Hangel, Ovidiu C. Andronesi, André J. W. van der Kouwe, Stephan Gruber, Siegfried Trattnig, Wolfgang Bogner
2014	J	`jnl`	3D GABA imaging with real-time motion correction, shim update and reacquisition of adiabatic spiral MRSI. NeuroImage Wolfgang Bogner, Borjan A. Gagoski, Aaron T. Hess, Himanshu Bhat, M. Dylan Tisdall, André J. W. van der Kouwe, Bernhard Strasser, Malgorzata Marjanska, Siegfried Trattnig, Patricia Ellen Grant, Bruce Rosen, Ovidiu C. Andronesi
2014	J	`jnl`	Real-time motion- and B NeuroImage Wolfgang Bogner, Aaron T. Hess, Borjan A. Gagoski, M. Dylan Tisdall, André J. W. van der Kouwe, Siegfried Trattnig, Bruce R. Rosen, Ovidiu C. Andronesi
2014	J	`jnl`	Whole brain mapping of water pools and molecular dynamics with rotating frame MR relaxation using gradient modulated low-power adiabatic pulses. NeuroImage Ovidiu C. Andronesi, Himanshu Bhat, Martin Reuter, Shreya Mukherjee, Peter Caravan, Bruce R. Rosen

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.