Benoit Dufumier

30 papers A* 3Journal 15Unranked 11

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Anatomical foundation models for brain MRIs. Pattern Recognit. Lett. Carlo Alberto Barbano, Matteo Brunello, Benoit Dufumier, Marco Grangetto
2026	J	`jnl`	Robust brain age estimation from structural MRI with contrastive learning. Pattern Recognit. Lett. Carlo Alberto Barbano, Benoit Dufumier, Edouard Duchesnay, Marco Grangetto, Pietro Gori
2025	—	`conf`	Does Connectome Harmonic Analysis Pass the Spin Test? MICCAI (12) Raphaël Vock, Antoine Grigis, Benoit Dufumier, Edouard Duchesnay
2025	J	`jnl`	Robust brain age estimation from structural MRI with contrastive learning. CoRR Carlo Alberto Barbano, Benoit Dufumier, Edouard Duchesnay, Marco Grangetto, Pietro Gori
2025	A*	`conf`	What to align in multimodal contrastive learning? ICLR Benoit Dufumier, Javiera Castillo Navarro, Devis Tuia, Jean-Philippe Thiran
2024	J	`jnl`	Anatomical Foundation Models for Brain MRIs. CoRR Carlo Alberto Barbano, Matteo Brunello, Benoit Dufumier, Marco Grangetto
2024	J	`jnl`	Exploring the potential of representation and transfer learning for anatomical neuroimaging: Application to psychiatry. NeuroImage Benoit Dufumier, Pietro Gori, Sara Petiton, Robin Louiset, Jean-François Mangin, Antoine Grigis, Edouard Duchesnay
2024	—	`conf`	How and Why Does Deep Ensemble Coupled with Transfer Learning Increase Performance in Bipolar Disorder and Schizophrenia Classification? ISBI Sara Petiton, Antoine Grigis, Benoit Dufumier, Edouard Duchesnay
2024	—	`conf`	SepVAE: a contrastive VAE to separate pathological patterns from healthy ones. MIDL Robin Louiset, Edouard Duchesnay, Antoine Grigis, Benoit Dufumier, Pietro Gori
2024	—	`conf`	Supervised Diagnosis Prediction from Cortical Sulci: Toward the Discovery of Neurodevelopmental Biomarkers in Mental Disorders. ISBI Pierre Auriau, Antoine Grigis, Benoit Dufumier, Robin Louiset, Joël Chavas, Pietro Gori, Jean-François Mangin, Edouard Duchesnay
2024	J	`jnl`	What to align in multimodal contrastive learning? CoRR Benoit Dufumier, Javiera Castillo-Navarro, Devis Tuia, Jean-Philippe Thiran
2023	—	`conf`	Contrastive Learning for Regression in Multi-Site Brain Age Prediction. ISBI Carlo Alberto Barbano, Benoit Dufumier, Edouard Duchesnay, Marco Grangetto, Pietro Gori
2023	—	`conf`	Fairness, Debiasing and Privacy in Computer Vision and Medical Imaging. Ital-IA Carlo Alberto Barbano, Edouard Duchesnay, Benoit Dufumier, Pietro Gori, Marco Grangetto
2023	A*	`conf`	Integrating Prior Knowledge in Contrastive Learning with Kernel. ICML Benoit Dufumier, Carlo Alberto Barbano, Robin Louiset, Edouard Duchesnay, Pietro Gori
2023	—	`conf`	MixUp Brain-Cortical Augmentations in Self-supervised Learning. MLCN@MICCAI Corentin Ambroise, Vincent Frouin, Benoit Dufumier, Edouard Duchesnay, Antoine Grigis
2023	J	`jnl`	SepVAE: a contrastive VAE to separate pathological patterns from healthy ones. CoRR Robin Louiset, Edouard Duchesnay, Antoine Grigis, Benoit Dufumier, Pietro Gori
2023	A*	`conf`	Unbiased Supervised Contrastive Learning. ICLR Carlo Alberto Barbano, Benoit Dufumier, Enzo Tartaglione, Marco Grangetto, Pietro Gori
2022	—	`—`	Apprentissage des représentations en neuroimagerie : transfert de connaissance à partir de larges jeux de données contrôles vers de petites cohortes cliniques. (Representation learning in neuroimaging : transferring from big healthy data to small clinical cohorts). Benoit Dufumier
2022	J	`jnl`	Contrastive learning for regression in multi-site brain age prediction. CoRR Carlo Alberto Barbano, Benoit Dufumier, Edouard Duchesnay, Marco Grangetto, Pietro Gori
2022	J	`jnl`	OpenBHB: a Large-Scale Multi-Site Brain MRI Data-set for Age Prediction and Debiasing. NeuroImage Benoit Dufumier, Antoine Grigis, Julie Victor, Corentin Ambroise, Vincent Frouin, Edouard Duchesnay
2022	J	`jnl`	Rethinking Positive Sampling for Contrastive Learning with Kernel. CoRR Benoit Dufumier, Carlo Alberto Barbano, Robin Louiset, Edouard Duchesnay, Pietro Gori
2022	J	`jnl`	Unbiased Supervised Contrastive Learning. CoRR Carlo Alberto Barbano, Benoit Dufumier, Enzo Tartaglione, Marco Grangetto, Pietro Gori
2022	—	`conf`	Unsupervised Representation Learning of Cingulate Cortical Folding Patterns. MICCAI (1) Joël Chavas, Louise Guillon, Marco Pascucci, Benoit Dufumier, Denis Rivière, Jean-François Mangin
2021	J	`jnl`	Benchmarking CNN on 3D Anatomical Brain MRI: Architectures, Data Augmentation and Deep Ensemble Learning. CoRR Benoit Dufumier, Pietro Gori, Ilaria Battaglia, Julie Victor, Antoine Grigis, Edouard Duchesnay
2021	J	`jnl`	Conditional Alignment and Uniformity for Contrastive Learning with Continuous Proxy Labels. CoRR Benoit Dufumier, Pietro Gori, Julie Victor, Antoine Grigis, Edouard Duchesnay
2021	J	`jnl`	Contrastive Learning with Continuous Proxy Meta-Data for 3D MRI Classification. CoRR Benoit Dufumier, Pietro Gori, Julie Victor, Antoine Grigis, Michel Wessa, Paolo Brambilla, Pauline Favre, Mircea Polosan, Colm McDonald, Camille Marie Piguet, Edouard Duchesnay
2021	—	`conf`	Contrastive Learning with Continuous Proxy Meta-data for 3D MRI Classification. MICCAI (2) Benoit Dufumier, Pietro Gori, Julie Victor, Antoine Grigis, Michel Wessa, Paolo Brambilla, Pauline Favre, Mircea Polosan, Colm McDonald, Camille Marie Piguet, Mary L. Phillips, Lisa Eyler, Edouard Duchesnay
2021	—	`conf`	Detection of Abnormal Folding Patterns with Unsupervised Deep Generative Models. MLCN@MICCAI Louise Guillon, Bastien Cagna, Benoit Dufumier, Joël Chavas, Denis Rivière, Jean-François Mangin
2021	—	`conf`	UCSL : A Machine Learning Expectation-Maximization Framework for Unsupervised Clustering Driven by Supervised Learning. ECML/PKDD (1) Robin Louiset, Pietro Gori, Benoit Dufumier, Josselin Houenou, Antoine Grigis, Edouard Duchesnay
2021	J	`jnl`	UCSL : A Machine Learning Expectation-Maximization framework for Unsupervised Clustering driven by Supervised Learning. CoRR Robin Louiset, Pietro Gori, Benoit Dufumier, Josselin Houenou, Antoine Grigis, Edouard Duchesnay

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.