Petia Radeva

Full professor

University of Barcelona

Spain

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Dr. Petia Radeva is a Full Professor at Universitat de Barcelona, Spain. Her research areas include evidence-based deep learning, food recognition technologies, and mobile health interventions for lifestyle modification. She has worked extensively on topics such as adversarial robustness in neural networks and the application of explainable AI methods. With a focus on practical applications, her recent publications reflect innovations in medical image classification and behavioral health research.

Petia Radeva

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Articles (16)

Precision at scale: Domain-specific datasets on-demand

FoodMem: Near real-time and precise food video segmentation

CEDL+: Exploiting evidential deep learning for continual out-of-distribution detection

Multi-task visual food recognition by integrating an ontology supported with LLM

Inter-separability and intra-concentration to enhance stochastic neural network adversarial robustness

Efficacy of a Mobile Health–Based Behavioral Treatment for Lifestyle Modification in Type 2 Diabetes Self-Management: Greenhabit Randomized Controlled Trial

Patterns of Use and Withdrawal Syndrome in Dual Cannabis and Tobacco Users (DuCATA_GAM-CAT): Protocol for a Mixed Methods Study

Characterizing the Contribution of Dependent Features in XAI Methods

Hercules: Deep Hierarchical Attentive Multilevel Fusion Model With Uncertainty Quantification for Medical Image Classification

Bayesian deep learning for semantic segmentation of food images

Optimized Multimodal Neurological Image Fusion Based on Low-Rank Texture Prior Decomposition and Super-Pixel Segmentation

Multi‐scale decomposition‐based CT‐MR neurological image fusion using optimized bio‐inspired spiking neural model with meta‐heuristic optimization

SLSNet: Skin lesion segmentation using a lightweight generative adversarial network

Hierarchical Approach to Classify Food Scenes in Egocentric Photo-Streams

Topic modelling for routine discovery from egocentric photo-streams

DeepNEM: Deep Network Energy-Minimization for Agricultural Field Segmentation

Collaborators (12)

Farhan Akram

Estefania Talavera Martinez

Ricardo Marques

Zahra Raisi-Estabragh

Montse Ballbè

Alejandro Frangi

Beatriz Remeseiro

Domenec Puig

Moloud Abdar

Alexander Jung

Md. Mostafa Kamal Sarker

Leonardo Rundo

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