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Author

Antonella Guzzo

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Sep 2026

Integrating radiomic and perfusion kinetics from DCE-MRI for accurate prediction of pathological response to neoadjuvant chemotherapy.

A new multi-modal machine learning framework that combines the structural, textural and functional imaging biomarkers obtained from Dynamic Contrast-Enhanced MRI for non-invasive classification of complete response (CR) and partial response (PR) shows that the combination of perfusion dynamics with radiomic descriptors...

Yasser Radouane Haddadi, Ruhul Amin Hazarika, Asaf Raza et al. · 0 citations
#generative ai Review Open access Sep 2026

A Comprehensive Systematic Meta-Survey of Energy Theft Detection: From Traditional Methods to Generative AI

This paper aims to analyze the landscape of energy theft detection by providing a systematic analysis of the state-of-the-art manuscripts in the form of a tertiary study in accordance with the PRISMA methodology guidelines.

Diego Labate, Dipanwita Thakur, Antonella Guzzo et al. · 0 citations
Open access Aug 2026

EA-AQF: energy aware adaptive quantization and freezing in federated learning

Energy-Aware Adaptive Quantization and Freezing (EA-AQF), a unified framework that co-optimizes communication and computation, is presented, a unified framework that co-optimizes communication and computation and maintains robust convergence in highly heterogeneous tasks.

Farwa Ikram, Sadi Alawadi, Dipanwita Thakur et al. · 0 citations

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