Daniel Kvak

11 papers Misc 1Journal 6Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Multi-Centre Validation of a Deep Learning Model for Scoliosis Assessment. CoRR Simon Kubov, Simon Klícník, Jakub Dandár, Zdenek Straka, Karolína Kvaková, Daniel Kvak
2024	—	`conf`	Enhancing Diagnostic Accuracy in Fracture Identification on Musculoskeletal Radiographs Using Deep Learning: A Multi-Reader Retrospective Study. MICAD Jakub Dandár, Michaela Skodová, Zdenek Straka, Daniel Kvak, Marek Biros
2024	—	`conf`	Evaluating the Performance of Deep Learning Model and Junior Radiologists in Reading Major Pathologies on Chest X-Rays: A Population-Based, Multi-reader Study. MICAD Jakub Dandár, Jirí Gerold, Jan Krístek, Zdenek Straka, Daniel Kvak, Marek Biros, Robert Hrubý
2023	J	`jnl`	Can Deep Learning Reliably Recognize Abnormality Patterns on Chest X-rays? A Multi-Reader Study Examining One Month of AI Implementation in Everyday Radiology Clinical Practice. CoRR Daniel Kvak, Anna Chromcová, Petra Ovesná, Jakub Dandár, Marek Biros, Robert Hrubý, Daniel Dufek, Marija Pajdakovic
2023	—	`conf`	Detecting Pulmonary Lesions in Low-Prevalence Real-World Settings Using Deep Learning. MICAD Daniel Kvak, Anna Chromcová, Petra Ovesná, Jakub Dandár, Marek Biros, Robert Hrubý, Daniel Dufek, Marija Pajdakovic
2023	Misc	`conf`	FXAI: Fusing XAI for Predicting COVID-19 Using Diverse Chest X - Ray Images. ISKE Radhwan A. A. Saleh, Shawqi M. O. Farea, Zaid Al-Huda, H. Metin Ertunç, Daniel Kvak, Mugahed A. Al-antari
2022	J	`jnl`	Leveraging Computer Vision Application in Visual Arts: A Case Study on the Use of Residual Neural Network to Classify and Analyze Baroque Paintings. CoRR Daniel Kvak
2022	—	`conf`	Synthetic Data as a Tool to Combat Racial Bias in Medical AI: Utilizing Generative Models for Optimizing Early Detection of Melanoma in Fitzpatrick Skin Types IV-VI. MICAD Daniel Kvak, Eva Brezinová, Marek Biros, Robert Hrubý
2022	J	`jnl`	Towards Clinical Practice: Design and Implementation of Convolutional Neural Network-Based Assistive Diagnosis System for COVID-19 Case Detection from Chest X-Ray Images. CoRR Daniel Kvak, Marian Bendik, Anna Chromcová
2022	J	`jnl`	Towards Evaluation of Autonomously Generated Musical Compositions: A Comprehensive Survey. CoRR Daniel Kvak
2022	J	`jnl`	Visualizing CoAtNet Predictions for Aiding Melanoma Detection. CoRR Daniel Kvak

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.

In 2025, he co-authored Assessing the Effectiveness of the Tigress Obfuscator Against MOPSA and BinaryNinja, published at CheckMATE. The paper evaluates the effectiveness of obfuscation techniques and their impact on source-level static analysis and binary-level decompilation.

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.