publications
My collection of publications.
2025
- A graph neural network-based model with Out-of-Distribution Robustness for enhancing Antiretroviral Therapy Outcome Prediction for HIV-1Computerized Medical Imaging and Graphics, 2025
- A systematic review of intermediate fusion in multimodal deep learning for biomedical applicationsImage and Vision Computing, 2025
- Class balancing diversity multimodal ensemble for Alzheimer’s disease diagnosis and early detectionComputerized Medical Imaging and Graphics, 2025
- An optimized ensemble search approach for classification of higher-level gait disorder using brain magnetic resonance imagesComputers in Biology and Medicine, 2025
- MedCoDi-M: A Multi-Prompt Foundation Model for Multimodal Medical Data GenerationarXiv preprint arXiv:2501.04614, 2025
- Augmented Intelligence for Multimodal Virtual Biopsy in Breast Cancer Using Generative Artificial IntelligencearXiv preprint arXiv:2501.19176, 2025
- Doctor-in-the-Loop: An explainable, multi-view deep learning framework for predicting pathological response in non-small cell lung cancerImage and Vision Computing, 2025
- Texture-Aware StarGAN for CT data harmonisationarXiv preprint arXiv:2503.15058, 2025
- Whole-Body Image-to-Image Translation for a Virtual Scanner in a Healthcare Digital TwinIn 2025 IEEE 38th International Symposium on Computer-Based Medical Systems (CBMS), 2025
- Beyond the Generative Learning Trilemma: Generative Model Assessment in Data Scarcity DomainsarXiv preprint arXiv:2504.10555, 2025
- Beyond a Single Mode: GAN Ensembles for Diverse Medical Data GenerationarXiv preprint arXiv:2503.24258, 2025
- Multimodal Doctor-in-the-Loop: A Clinically-Guided Explainable Framework for Predicting Pathological Response in Non-Small Cell Lung CancerarXiv preprint arXiv:2505.01390, 2025
- Evaluating Vision Language Model Adaptations for Radiology Report Generation in Low-Resource LanguagesarXiv preprint arXiv:2505.01096, 2025
- Timing Is Everything: Finding the Optimal Fusion Points in Multimodal Medical ImagingarXiv preprint arXiv:2505.02467, 2025
- Can Foundation Models Really Segment Tumors? A Benchmarking Odyssey in Lung CT ImagingIn 2025 IEEE 38th International Symposium on Computer-Based Medical Systems (CBMS), 2025
- Any-to-Any Vision-Language Model for Multimodal X-ray Imaging and Radiological Report GenerationarXiv preprint arXiv:2505.01091, 2025
- Lesion-Aware Generative Artificial Intelligence for Virtual Contrast-Enhanced Mammography in Breast CancerIn 2025 IEEE 38th International Symposium on Computer-Based Medical Systems (CBMS), 2025
- IDENTIFYING CARDIOGENIC SHOCK SUB–PHENOTYPES WITH MACHINE LEARNING: A MULTICENTER STUDY COMBINING CLINICAL AND ECHOCARDIOGRAPHIC DATAEuropean Heart Journal Supplements, 2025
- 3082 Pathologic Complete Response prediction with Machine Learning using Electronic Health Records (EHRs)Radiotherapy and Oncology, 2025
- Machine Learning for Predicting the Low Risk of Postoperative Pancreatic Fistula After Pancreaticoduodenectomy: Toward a Dynamic and Personalized Postoperative Management StrategyCancers, 2025
- Text-to-CT Generation via 3D Latent Diffusion Model with Contrastive Vision-Language PretrainingarXiv preprint arXiv:2506.00633, 2025
- Identifying Cardiogenic Shock Sub-Phenotypes with Machine Learning: A Multicenter Study Combining Clinical and Echocardiographic DatamedRxiv, 2025
- Leveraging MIMIC Datasets for Better Digital Health: A Review on Open Problems, Progress Highlights, and Future PromisesarXiv preprint arXiv:2506.12808, 2025
- Benchmarking Foundation Models and Parameter-Efficient Fine-Tuning for Prognosis Prediction in Medical ImagingarXiv preprint arXiv:2506.18434, 2025
2024
- Multimodal explainability via latent shift applied to COVID-19 stratificationPattern Recognition, 2024
- A deep learning approach for virtual contrast enhancement in Contrast Enhanced Spectral MammographyComputerized Medical Imaging and Graphics, 2024
- Exploring nasopharyngeal microbiota profile in children affected by SARS-CoV-2 infectionMicrobiology Spectrum, 2024
- Multi-Scale Texture Loss for CT denoising with GANsarXiv preprint arXiv:2403.16640, 2024
- Multi-dataset multi-task learning for COVID-19 prognosisIn International Conference on Medical Image Computing and Computer-Assisted Intervention, 2024
- A deep learning approach for overall survival prediction in lung cancer with missing valuesComputer Methods and Programs in Biomedicine, 2024
- Emerging microorganisms and infectious diseases: one health approach for health shared visionGenes, 2024
- Not Another Imputation Method: A Transformer-based Model for Missing Values in Tabular DatasetsarXiv preprint arXiv:2407.11540, 2024
- Virtual scanner: leveraging resilient generative ai for radiological imaging in the era of medical digital twinsIn CEUR WORKSHOP PROCEEDINGS, 2024
- Towards AI-driven next generation personalized healthcare and well-beingIn CEUR Workshop Proceedings, 2024
- Robustrecsys@ recsys2024: Design, evaluation and deployment of robust recommender systemsIn Proceedings of the 18th ACM Conference on Recommender Systems, 2024
- Radiomics for predicting prognostic factors in breast cancer: Insights from contrast-enhanced mammography (CEM)Journal of Clinical Medicine, 2024
- MARIA: a Multimodal Transformer Model for Incomplete Healthcare DataarXiv preprint arXiv:2412.14810, 2024
- Lesion pattern in MS: A Deep Learning exploration approachIn MULTIPLE SCLEROSIS JOURNAL, 2024
2023
- Multi-objective optimization determines when, which and how to fuse deep networks: An application to predict COVID-19 outcomesComputers in Biology and Medicine, 2023
- Ecology and machine learning-based classification models of gut microbiota and inflammatory markers may evaluate the effects of probiotic supplementation in patients recently recovered from COVID-19International Journal of Molecular Sciences, 2023
- Building an ai-enabled metaverse for intelligent healthcare: opportunities and challengesIn CEUR WORKSHOP PROCEEDINGS, 2023
- Making AI trustworthy in multimodal and healthcare scenariosIn CEUR Workshop Proceedings, 2023
- Sustainable AI: inside the deep, alongside the greenIn CEUR WORKSHOP PROC, 2023
- Williams–Beuren syndrome shapes the gut microbiota metaproteomeScientific Reports, 2023
- Gut microbiota functional profiling in autism spectrum disorders: bacterial VOCs and related metabolic pathways acting as disease biomarkers and predictorsFrontiers in Microbiology, 2023
2022
- Pareto optimization of deep networks for COVID-19 diagnosis from chest X-raysPattern recognition, 2022
- Gut microbiota ecology and inferred functions in children with ASD compared to neurotypical subjectsFrontiers in Microbiology, 2022
- Convolutional neural networks for automated classification of prostate multiparametric magnetic resonance imaging based on image qualityJournal of Magnetic Resonance Imaging, 2022
- Optimized fusion of CNNs to diagnose pulmonary diseases on chest X-RaysIn International Conference on Image Analysis and Processing, 2022
- The relationship between pediatric gut microbiota and SARS-CoV-2 infectionFrontiers in cellular and infection microbiology, 2022
- Gut microbiota functional traits, blood pH, and anti-GAD antibodies concur in the clinical characterization of T1D at onsetInternational Journal of Molecular Sciences, 2022
- Comparison of current methods for anti-dsDNA antibody detection and reshaping diagnostic strategiesScandinavian Journal of Immunology, 2022
- Comparison of current methods for anti-dsDNA antibody detection and reshaping diagnostic strategies2022
- A multimodal ensemble driven by multiobjective optimisation to predict overall survival in non-small-cell lung cancerJournal of Imaging, 2022
- Functional and taxonomic traits of the gut microbiota in type 1 diabetes children at the onset: a metaproteomic studyInternational Journal of Molecular Sciences, 2022
2021
- Fecal microbiota signatures of insulin resistance, inflammation, and metabolic syndrome in youth with obesity: a pilot studyActa diabetologica, 2021
- Nasopharyngeal microbiota in hospitalized children with Bordetella pertussis and Rhinovirus infectionScientific Reports, 2021
- AIforCOVID: Predicting the clinical outcomes in patients with COVID-19 applying AI to chest-X-rays. An Italian multicentre studyMedical image analysis, 2021
- Hepatitis C diagnosis and treatment in people who use drugs: mind the gap in the linkage to careEuropean Review for Medical and Pharmacological Sciences, 2021
- Temporal network motifs: Models, limitations, evaluationIEEE Transactions on Knowledge and Data Engineering, 2021
- A multi-expert system to detect COVID-19 cases in X-ray imagesIn 2021 IEEE 34th International Symposium on Computer-Based Medical Systems (CBMS), 2021
- Assessing the impact of data-driven limitations on tracing and forecasting the outbreak dynamics of COVID-19Computers in biology and medicine, 2021
2020
- Human papillomavirus infections in cervical samples from HIV-positive women: evaluation of the presence of the nonavalent HPV genotypes and genetic diversityFrontiers in microbiology, 2020