Advancing EGFR mutation subtypes prediction in NSCLC by combining 3D pretrained ConvNeXt, radiomics, and clinical features

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ThermoNeRF: A multimodal Neural Radiance Field for joint RGB-thermal novel view synthesis of building facades

Olga Fink, Florent Evariste Forest, Mariam Ahmed Mahmoud Hegazy Hassan

Thermal scene reconstruction holds great potential for various applications, such as building energy analysis and non-destructive infrastructure testing. However, existing methods rely on dense scene measurements and use RGB images for 3D reconstruction, i ...

2025

Advances on Real Time M/EEG Neural Feature Extraction

Dimitri Nestor Alice Van De Ville, Nicolas Henchoz, Delphine Ribes Lemay, Andreas Sonderegger, Emily Clare Groves, Patrick Karl Alois Neff, Lara Jacqueline Défayes, Danpeng Cai

This paper introduces MNE-RT, a Python package designed for real-time neural feature extraction from magne-toencephalography (MEG) and electroencephalography (EEG) signals in Brain-Computer Interface (BCI) systems. The package incorporates efficient algori ...

IEEE2025

Self-supervised Change Detection via Cooperative Learning: A Two-Player Model

Manon Cécile Nicole Béchaz, Devis Tuia, Emanuele Dalsasso

Change detection (CD) is a critical task in remote sensing, especially for monitoring dynamic urban environments. In this work, we present a novel, self-supervised CD approach that leverages a two-player architecture to improve the reliability and accuracy ...

IEEE2025

Integrating Physics and Topology in Neural Networks for Learning Rigid Body Dynamics

Amaury Pierre Jiezhi Wei, Olga Fink

Rigid body interactions are fundamental to numerous scientific disciplines, but remain challenging to simulate due to their abrupt nonlinear nature and sensitivity to complex, often unknown environmental factors. These challenges call for adaptable learnin ...

NATURE PORTFOLIO2025

On-device diagnostic recommendation with heterogeneous federated BlockNets

Thanh Trung Huynh

The evolution of edge computing has advanced the accessibility of E-health recommendation services, encompassing areas such as medical consultations, prescription guidance, and diagnostic assessments. Traditional methodologies predominantly utilize central ...

2025

GraphFedAI framework for DDoS attack detection in IoT systems using federated learning and graph based artificial intelligence

Zaffar Ahmed Shaikh

The Internet of Things (IoT) consists of physical objects and devices embedded with network connectivity, software, and sensors to collect and transmit data. The development of the Internet of Things (IoT) has led to various security and privacy issues, in ...

2025