PR
Petia Radeva
cs.CVAlgorithmsArtificial Intelligencecs.LGArtifactscs.AIeess.IVSubtraction TechniqueIVUSUltrasonography, Interventional
On Valency
published · living versionsW_gkgwmbms·v1 · currentpublished
Generic Feature Learning for Wireless Capsule Endoscopy Analysis
with Santi Seguí, Michal Drozdzal, Guillem Pascual, Carolina Malagelada +2
1 version
Preprints & journals
166 papers in the corpus · 1997–2026When does fusing hand-crafted knowledge with learned representations pay? A cost-normalized benchmark of stacking, substitution, and interference2608.21098v1 · Ahmad AlMughrabi, Albert Clop, Benjamin Busam et al.2026 · 0 citationsarXiv
PerBite: A Curated Diagnostic Workflow for Bite-Aware Food Volume Estimation2606.02021v1 · Ahmad AlMughrabi, Farid Al-Areqi, David Fern'andez G'omez et al.2026 · 0 citationsarXiv
Learning from Semantic Dictionaries: Discriminative Codebook Contrastive Learning for Unified Visual Representation and Generation2605.25012v1 · Imanol G. Estepa, Jes'us M Rodr'iguez-de-Vera, Bhalaji Nagarajan et al.2026 · 0 citationsarXiv
Anatomically guided latent diffusion for high-resolution 3D chest CT synthesis.42120458 · Oliveras, Anna, Marí, Roger, Redondo, Rafael et al.2026 · 1 citationScientific reports. 2026;16(1)
Physically Informed 3D Food Reconstruction: Methods and Results.41818018 · He, Jiangpeng, Chen, Yuhao, Vinod, Gautham et al.2026 · 1 citationIEEE journal of biomedical and health informatics. 2026;PP
VolE: A point-cloud framework for food 3D reconstruction and volume estimation.41792165 · Haroon, Umair, AlMughrabi, Ahmad, Zoumpekas, Thanasis et al.2026 · 3 citationsScientific reports. 2026;16(1)
BenchSeg: A Large-Scale Dataset and Benchmark for Multi-View Food Video Segmentation2601.07581v2 · Ahmad AlMughrabi, Guillermo Rivo, Carlos Jim'enez-Farf'an et al.2026 · 0 citationsarXiv
LAND: Lung and Nodule Diffusion for 3D Chest CT Synthesis with Anatomical Guidance2510.18446v1 · Anna Oliveras, Roger Mar'i, Rafael Redondo et al.2025 · 0 citationsarXiv
DADO: A Depth-Attention framework for Object Discovery2510.07089v1 · Federico Gonzalez, Estefania Talavera, Petia Radeva2025 · 0 citationsLecture Notes in Computer Science, vol 15622. Springer, Cham. Published 17 September 2025
Calibration and Uncertainty for multiRater Volume Assessment in multiorgan Segmentation (CURVAS) challenge results.40934552 · Riera-Marín, Meritxell, O K, Sikha, Rodríguez-Comas, Júlia et al.2025 · 4 citationsComputers in biology and medicine. 2025;197(Pt B):111024
Slot Attention-based Feature Filtering for Few-Shot Learning2508.09699v1 · Javier Rodenas, Eduardo Aguilar, Petia Radeva2025 · 1 citationJ. Rodenas, E. Aguilar, and P. Radeva, "Slot Attention-based Feature Filtering for Few-Shot Learning," in Proc. IEEE/CVF Conf. Comput. Vis. Pattern Recognit. (CVPR) Workshops, 2025, pp. 30-40
Stochastic-based Patch Filtering for Few-Shot Learning2508.10066v1 · Javier Rodenas, Eduardo Aguilar, Petia Radeva2025 · 1 citationJ. Rodenas Cumplido, E. Aguilar, and P. Radeva, "Slot Attention-based Feature Filtering for Few-Shot Learning," in Proc. IEEE/CVF Conf. Comput. Vis. Pattern Recognit. (CVPR) Workshops, 2025, pp. 440-449
Never compromise with vulnerabilities: a comprehensive survey on AI governance2508.08789v5 · Yuchu Jiang, Jian Zhao, Yuchen Yuan et al.2025 · 0 citationsarXiv
Advancing Image-Based Grapevine Variety Classification with a New Benchmark and Evaluation of Masked Autoencoders2506.13335v1 · Gabriel A. Carneiro, Thierry J. Aubry, Ant'onio Cunha et al.2025 · 0 citationsarXiv
VolTex: Food Volume Estimation using Text-Guided Segmentation and Neural Surface Reconstruction2506.02895v1 · Ahmad AlMughrabi, Umair Haroon, Ricardo Marques et al.2025 · 2 citationsarXiv
Representation Discrepancy Bridging Method for Remote Sensing Image-Text Retrieval2505.16756v1 · Hailong Ning, Siying Wang, Tao Lei et al.2025 · 4 citationsarXiv
VolE: A Point-cloud Framework for Food 3D Reconstruction and Volume Estimation2505.10205v1 · Umair Haroon, Ahmad AlMughrabi, Thanasis Zoumpekas et al.2025 · 3 citationsarXiv
Conjuring Positive Pairs for Efficient Unification of Representation Learning and Image Synthesis2503.15060v3 · Imanol G. Estepa, Jes'us M. Rodr'iguez-de-Vera, Ignacio Saras'ua et al.2025 · 1 citationarXiv
Multi-label out-of-distribution detection via evidential learning2502.18224v1 · Eduardo Aguilar, Bogdan Raducanu, Petia Radeva2025 · 3 citationsarXiv
Efficacy of a Mobile Health-Based Behavioral Treatment for Lifestyle Modification in Type 2 Diabetes Self-Management: Greenhabit Randomized Controlled Trial.39841995 · Ruiz-Leon, Ana Maria, Casas, Rosa, Castro-Barquero, Sara et al.2025 · 24 citationsJournal of medical Internet research. 2025;27:e58319
Explainable AI model reveals disease-related mechanisms in single-cell RNA-seq data2501.03923v1 · Mohammad Usman, Olga Varea, Petia Radeva et al.2025 · 0 citationsarXiv
Hybrid deep learning-based strategy for the hepatocellular carcinoma cancer grade classification of H&E stained liver histopathology images2412.03084v2 · Ajinkya Deshpande, Deep Gupta, Ankit Bhurane et al.2024 · 1 citationarXiv
Characterizing the Contribution of Dependent Features in XAI Methods.38696291 · Salih, Ahmed M, Galazzo, Ilaria Boscolo, Raisi-Estabragh, Zahra et al.2024 · 30 citationsIEEE journal of biomedical and health informatics. 2024;28(11):6466-6473
Patterns of Use and Withdrawal Syndrome in Dual Cannabis and Tobacco Users (DuCATA_GAM-CAT): Protocol for a Mixed Methods Study.39298750 · Saura, Judith, Feliu, Ariadna, Enríquez-Mestre, Marta et al.2024 · 3 citationsJMIR research protocols. 2024;13:e58335
Leveraging protein-protein interactions in phenotype prediction through graph neural networks10.1101/2024.08.13.605573v2 · Smeriglio, R., Rosell-Mirmi, J., Radeva, P. et al.2024 · 1 citationbioRxiv
FoodMem: Near Real-time and Precise Food Video Segmentation2407.12121v2 · Ahmad AlMughrabi, Adri'an Gal'an, Ricardo Marques et al.2024 · 7 citationsarXiv
MetaFood CVPR 2024 Challenge on Physically Informed 3D Food Reconstruction: Methods and Results2407.09285v1 · Jiangpeng He, Yuhao Chen, Gautham Vinod et al.2024 · 0 citationsarXiv
Precision at Scale: Domain-Specific Datasets On-Demand2407.03463v2 · Jes'us M Rodr'iguez-de-Vera, Imanol G Estepa, Ignacio Saras'ua et al.2024 · 2 citationsPattern Recognition, 171 (2026) 112236
MomentsNeRF: Leveraging Orthogonal Moments for Few-Shot Neural Rendering2407.02668v1 · Ahmad AlMughrabi, Ricardo Marques, Petia Radeva2024 · 0 citationsarXiv
VolETA: One- and Few-shot Food Volume Estimation2407.01717v1 · Ahmad AlMughrabi, Umair Haroon, Ricardo Marques et al.2024 · 1 citationarXiv
MVSBoost: An Efficient Point Cloud-based 3D Reconstruction2406.13515v2 · Umair Haroon, Ahmad AlMughrabi, Ricardo Marques et al.2024 · 7 citationsarXiv
Exploration of Interpretability Techniques for Deep COVID-19 Classification Using Chest X-ray Images.38392093 · Chatterjee, Soumick, Saad, Fatima, Sarasaen, Chompunuch et al.2024 · 40 citationsJournal of imaging. 2024;10(2)
Bayesian DivideMix++ for Enhanced Learning with Noisy Labels.38244356 · Nagarajan, Bhalaji, Marques, Ricardo, Aguilar, Eduardo et al.2024 · 21 citationsNeural networks : the official journal of the International Neural Network Society. 2024;172:106122
A review of evaluation approaches for explainable AI with applications in cardiology.39132011 · Salih, Ahmed M, Galazzo, Ilaria Boscolo, Gkontra, Polyxeni et al.2024 · 75 citationsArtificial intelligence review. 2024;57(9):240
A New Multimodal Medical Image Fusion based on Laplacian Autoencoder with Channel Attention2310.11896v1 · Payal Wankhede, Manisha Das, Deep Gupta et al.2023 · 0 citationsarXiv
Multi-modal Medical Neurological Image Fusion using Wavelet Pooled Edge Preserving Autoencoder2310.11910v1 · Manisha Das, Deep Gupta, Petia Radeva et al.2023 · 1 citationarXiv
Continual Evidential Deep Learning for Out-of-Distribution Detection2309.02995v1 · Eduardo Aguilar, Bogdan Raducanu, Petia Radeva et al.2023 · 24 citationsarXiv
A Perspective on Explainable Artificial Intelligence Methods: SHAP and LIME2305.02012v3 · Ahmed Salih, Zahra Raisi-Estabragh, Ilaria Boscolo Galazzo et al.2023 · 878 citationsarXiv
Ischemic Heart Disease and Vascular Risk Factors Are Associated With Accelerated Brain Aging.37407123 · Rauseo, Elisa, Salih, Ahmed, Raisi-Estabragh, Zahra et al.2023 · 35 citationsJACC. Cardiovascular imaging. 2023;16(7):905-915
Pre-NeRF 360: Enriching Unbounded Appearances for Neural Radiance Fields2303.12234v1 · Ahmad AlMughrabi, Umair Haroon, Ricardo Marques et al.2023 · 1 citationarXiv
ELFIS: Expert Learning for Fine-grained Image Recognition Using Subsets2303.09269v1 · Pablo Villacorta, Jes'us M. Rodr'iguez-de-Vera, Marc Bolanos et al.2023 · 2 citationsarXiv
All4One: Symbiotic Neighbour Contrastive Learning via Self-Attention and Redundancy Reduction2303.09417v1 · Imanol G. Estepa, Ignacio Saras'ua, Bhalaji Nagarajan et al.2023 · 10 citationsarXiv
Telomere length is causally connected to brain MRI image derived phenotypes: A mendelian randomization study.36399449 · Salih, Ahmed, Galazzo, Ilaria Boscolo, Petersen, Steffen E et al.2022 · 6 citationsPloS one. 2022;17(11):e0277344
Estimation of biological heart age using cardiovascular magnetic resonance radiomics.35896705 · Raisi-Estabragh, Zahra, Salih, Ahmed, Gkontra, Polyxeni et al.2022 · 45 citationsScientific reports. 2022;12(1):12805
Uncertainty-aware selecting for an ensemble of deep food recognition models.35751183 · Aguilar, Eduardo, Nagarajan, Bhalaji, Radeva, Petia2022 · 22 citationsComputers in biology and medicine. 2022;146:105645
Hyper-Spectral Imaging for Overlapping Plastic Flakes Segmentation2203.12350v1 · Guillem Martinez, Maya Aghaei, Martin Dijkstra et al.2022 · 3 citationsarXiv
Layer Ensembles: A Single-Pass Uncertainty Estimation in Deep Learning for Segmentation2203.08878v1 · Kaisar Kushibar, V'ictor Manuel Campello, Lidia Garrucho Moras et al.2022 · 22 citationsarXiv
Brain age estimation at tract group level and its association with daily life measures, cardiac risk factors and genetic variants.34663856 · Salih, Ahmed, Boscolo Galazzo, Ilaria, Raisi-Estabragh, Zahra et al.2022 · 16 citationsScientific reports. 2021;11(1):20563
CoLe-CNN+: Context learning - Convolutional neural network for COVID-19-Ground-Glass-Opacities detection and segmentation.34364263 · Pezzano, Giuseppe, Díaz, Oliver, Ripoll, Vicent Ribas et al.2021 · 16 citationsComputers in biology and medicine. 2021;136:104689
Behavioural and neurophysiological signatures in the retrieval of individual memories of recent and remote real-life routine episodic events.34049255 · Nicolás, Berta, Wu, Xiongbo, García-Arch, Josué et al.2021 · 6 citationsCortex; a journal devoted to the study of the nervous system and behavior. 2021;141:128-143
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