Daniel R. McGowan

13 papers Journal 6Unranked 7

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Smartphone-based prediction of dopaminergic deficit in prodromal and manifest Parkinson's disease. npj Digit. Medicine Katarina M. Gunter, Karolien Groenewald, Timothée Aubourg, Christine Lo, Jessica Welch, Jamil Razzaque, Ludo van Hillegondsberg, Adriana Nastasa, Pietro-Luca Ratti, Beatrice Orso, Pietro Mattioli, Matteo Pardini, Stefano Raffa, Federico Massa, Daniel R. McGowan, Kevin M. Bradley, Dario Arnaldi, Johannes C. Klein, Siddharth Arora, Michele T. Hu
2025	—	`conf`	Specialised or Generic? Tokenization Choices for Radiology Language Models. ELAMI@MICCAI Hermione Warr, Wentian Xu, Harry Anthony, Yasin Ibrahim, Daniel R. McGowan, Konstantinos Kamnitsas
2025	J	`jnl`	Specialised or Generic? Tokenization Choices for Radiology Language Models. CoRR Hermione Warr, Wentian Xu, Harry Anthony, Yasin Ibrahim, Daniel R. McGowan, Konstantinos Kamnitsas
2024	—	`conf`	On Biases in a UK Biobank-Based Retinal Image Classification Model. FAIMI/EPIMI@MICCAI Anissa Alloula, Rima Mustafa, Daniel R. McGowan, Bartlomiej W. Papiez
2024	J	`jnl`	On Biases in a UK Biobank-based Retinal Image Classification Model. CoRR Anissa Alloula, Rima Mustafa, Daniel R. McGowan, Bartlomiej W. Papiez
2024	—	`conf`	Prediction of Recurrence Free Survival of Head and Neck Cancer Using PET/CT Radiomics and Clinical Information. ISBI Mona Furukawa, Daniel R. McGowan, Bartlomiej W. Papiez
2024	J	`jnl`	Prediction of recurrence free survival of head and neck cancer using PET/CT radiomics and clinical information. CoRR Mona Furukawa, Daniel R. McGowan, Bartlomiej W. Papiez
2024	—	`conf`	Quality Control for Radiology Report Generation Models via Auxiliary Auditing Components. UNSURE@MICCAI Hermione Warr, Yasin Ibrahim, Daniel R. McGowan, Konstantinos Kamnitsas
2024	J	`jnl`	Quality Control for Radiology Report Generation Models via Auxiliary Auditing Components. CoRR Hermione Warr, Yasin Ibrahim, Daniel R. McGowan, Konstantinos Kamnitsas
2021	—	`conf`	Multimodal PET/CT Tumour Segmentation and Prediction of Progression-Free Survival Using a Full-Scale UNet with Attention. HECKTOR@MICCAI Emmanuelle Bourigault, Daniel R. McGowan, Abolfazl Mehranian, Bartlomiej W. Papiez
2021	J	`jnl`	Multimodal PET/CT Tumour Segmentation and Prediction of Progression-Free Survival using a Full-Scale UNet with Attention. CoRR Emmanuelle Bourigault, Daniel R. McGowan, Abolfazl Mehranian, Bartlomiej W. Papiez
2018	—	`conf`	Fast Groupwise 4D Deformable Image Registration for Irregular Breathing Motion Estimation. WBIR Bartlomiej W. Papiez, Daniel R. McGowan, Michael Skwarski, Geoff S. Higgins, Julia A. Schnabel, J. Michael Brady
2017	—	`conf`	4D-PET reconstruction of dynamic non-small cell lung cancer [18-F]-FMISO-PET data using adaptive-knot cubic B-splines. ISBI G. P. Ralli, Daniel R. McGowan, Michael A. Chappell, Ricky A. Sharma, Geoff S. Higgins, J. D. Fenwick

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.