Publications
Research outputs from Arco Lab.
Research Outputs
Publications
Arco Lab publishes across medical imaging, multimodal learning, clinical prediction, and decision-support systems. Browse the bibliography below, search by keyword or project, and open the paper, code, and website links for each contribution.
2026
- Beyond a single mode: GAN ensembles for diverse medical data generation2026generative AI medical imaging
- [18F]FDG PET/CT Radiomics for Predicting Pathological Risk Subtypes of Thymic Epithelial Tumors: A Bicentric Study2026radiomics
- Concept-Enhanced Multimodal RAG: Towards Interpretable and Accurate Radiology Report GenerationarXiv preprint arXiv:2602.15650, 2026
- Handling Missing Modalities in Multimodal Survival Prediction for Non-Small Cell Lung CancerarXiv preprint arXiv:2601.10386, 2026multimodal learning clinical prognosis medical imagingAIDA digilung
- Machine Learning Models for Sepsis: From Early Detection to Short- and Long-Term Prognosis2026machine learning clinical prediction
- A Systematic Benchmark of GAN Architectures for MRI-to-CT SynthesisarXiv preprint arXiv:2603.13520, 2026generative AI
- A Systematic Benchmark of GAN Architectures for MRI-to-CT SynthesisarXiv preprint arXiv:2603.13520, 2026
- Predicting lung cancer survival with attention-based CT slices combination2026
- Multimodal Clinical Data Integration for Prognosis of Pulmonary Embolism: A Comparative Study2026
- XGeM: A multi-prompt foundation model for multimodal medical data generation2026foundation models generative AI multimodal learning
- Retrieval-Augmented Anatomical Guidance for Text-to-CT GenerationarXiv preprint arXiv:2603.08305, 2026
- Longitudinal NSCLC Treatment Progression via Multimodal Generative ModelsarXiv preprint arXiv:2603.06147, 2026
- SPARSE data, rich results: Few-shot semi-supervised learning via class-conditioned image translation2026oncology generative AI clinical prediction
- Probabilistic NDVI Forecasting from Sparse Satellite Time Series and Weather CovariatesarXiv preprint arXiv:2602.17683, 2026industrial AI
- Hybrid Quantum Neural Network for Multivariate Clinical Time Series ForecastingarXiv preprint arXiv:2603.08072, 2026multimodal learning
- Fairness-Aware Partial-label Domain Adaptation for Voice Classification of Parkinson’s and ALSarXiv preprint arXiv:2602.18535, 2026
- Cross-Dataset Multivariate Time-Series Model for Parkinson’s Diagnosis via Keyboard Dynamics2026foundation models medical imaging
- Learning from Limited and Incomplete Data: A Multimodal Framework for Predicting Pathological Response in NSCLCarXiv preprint arXiv:2603.15100, 2026
- Robust radiomics: a review of guidelines for radiomics in medical imaging2026radiomics multimodal learning medical imaging
- Virtual Scanning for NSCLC Histology: Investigating the Discriminatory Power of Synthetic PETarXiv preprint arXiv:2605.02746, 2026generative AI medical imaging multimodal learning
2025
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- ACGM: Attribute-Centric Graph Modeling Network for Concurrent Missing Tabular Data Imputation and COVID-19 Prognosis2025oncology COVID-19 explainability
- LatentAugment: Data Augmentation via Guided Manipulation of GAN’s Latent Space2025generative AI multimodal learning
- Evaluating Vision Language Model Adaptations for Radiology Report Generation in Low-Resource Languages2025foundation models medical imaging
- Beyond the Generative Learning Trilemma: Generative Model Assessment in Data Scarcity DomainsarXiv preprint arXiv:2504.10555, 2025
- Transformer-Based Analysis for Detecting Pulmonary Nodules in CT Scans: Preliminary Results2025
- Benchmarking foundation models and parameter-efficient fine-tuning for prognosis prediction in medical imaging2025foundation models clinical prediction medical imaging
- Lesion-Aware Generative Artificial Intelligence for Virtual Contrast-Enhanced Mammography in Breast Cancer2025radiomics oncology generative AI
- Augmented intelligence for multimodal virtual biopsy in breast cancer using generative artificial intelligence2025oncology multimodal learning generative AI
- AI-Powered Insulin Pens for Pediatric Diabetes: Advancements in Lipodystrophy Detection and Injection Site Recognition2025medical imaging
- Pathologic Complete Response Prediction with Machine Learning Using Hierarchical Attention Feature Extraction2025radiomics oncology clinical prediction
- Hierarchical embedding attention for overall survival prediction in lung cancer from unstructured EHRs2025oncology foundation models generative AI
- AI-CARE: Artificial Intelligence for Customized Adaptive Robot-Aided Rehabilitation2025medical imaging
- Text-to-CT Generation via 3D Latent Diffusion Model with Contrastive Vision-Language PretrainingarXiv preprint arXiv:2506.00633, 2025generative AI foundation models medical imaging
- Any-to-Any Vision-Language Model for Multimodal X-ray Imaging and Radiological Report Generation2025foundation models medical imaging generative AI
- Benchmarking GAN-Based vs Classical Data Augmentation on Biomedical Images2025
- Sample-Aware Test-Time Adaptation for Medical Image-to-Image TranslationarXiv preprint arXiv:2508.00766, 2025generative AI medical imaging
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- Whole-Body Image-to-Image Translation for a Virtual Scanner in a Healthcare Digital Twin2025medical imaging generative AI
- Timing Is Everything: Finding the Optimal Fusion Points in Multimodal Medical Imaging2025multimodal learning medical imaging
- Beyond unimodal analysis: Multimodal ensemble learning for enhanced assessment of atherosclerotic disease progression2025multimodal learning clinical prediction
- A systematic review of intermediate fusion in multimodal deep learning for biomedical applications2025multimodal learning
- Identifying Cardiogenic Shock Sub-Phenotypes with Machine Learning: A Multicenter Study Combining Clinical and Echocardiographic Data2025
- Class balancing diversity multimodal ensemble for Alzheimer’s disease diagnosis and early detection2025clinical prediction multimodal learning
- Texture-Aware StarGAN for CT data harmonization2025generative AI medical imaging
- Hybrid 3D CNN-MAMBA for Emphysema Classification in the SCAPIS Cohort2025oncology multimodal learning clinical prediction
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- Deep learning for human locomotion analysis in lower-limb exoskeletons: a comparative study2025explainability medical imaging
- Long-term outcomes from pembrolizumab monotherapy in patients with advanced NSCLC, PD-L1 expression ≥ 50 %, and poor performance status: Transformer-based AI to characterize prognostic complexity2025
- MARIA: A multimodal transformer model for incomplete healthcare data2025multimodal learning foundation models clinical prediction
- Multimodal Doctor-in-the-Loop: A Clinically-Guided Explainable Framework for Predicting Pathological Response in Non-Small Cell Lung Cancer2025radiomics oncology multimodal learning
- Doctor-in-the-Loop: An explainable, multi-view deep learning framework for predicting pathological response in non-small cell lung cancer2025explainability oncology medical imaging
- Machine Learning for Predicting the Low Risk of Postoperative Pancreatic Fistula After Pancreaticoduodenectomy: Toward a Dynamic and Personalized Postoperative Management Strategy2025clinical prediction oncology
- Generative models enable longitudinal synthetic electronic health records for privacy preserving research within cardiovascular disease prevention and digital twins2025
- Generative Adversarial Networks for Synthetic Longitudinal Electronic Health Records Enabling Cardiovascular Digital Twins2025generative AI medical imaging
- Context-Gated Cross-Modal Perception with Visual Mamba for PET-CT Lung Tumor SegmentationarXiv preprint arXiv:2510.27508, 2025
- Can Foundation Models Really Segment Tumors? A Benchmarking Odyssey in Lung CT Imaging2025foundation models medical imaging
- NSCLC histological subtype classification from CT scans using generalist 3D medical foundation models2025radiomics oncology foundation models
- Multi-stage intermediate fusion for multimodal learning to classify non-small cell lung cancer subtypes from CT and PET2025radiomics oncology multimodal learning
- Enhancing NSCLC Histological Subtype Classification: A Federated Learning Approach Using Triplet Loss2025radiomics oncology medical imaging
2024
- Translating Image XAI to Multivariate Time Series2024multimodal learning explainability medical imaging
- Multi-Dataset Multi-Task Learning for COVID-19 Prognosis2024COVID-19 clinical prediction multimodal learning
- A deep learning approach for virtual contrast enhancement in Contrast Enhanced Spectral Mammography2024medical imaging generative AI
- Emerging Microorganisms and Infectious Diseases: One Health Approach for Health Shared Vision2024multimodal learning
- Radiomics for Predicting Prognostic Factors in Breast Cancer: Insights from Contrast-Enhanced Mammography (CEM)2024oncology radiomics medical imaging
- Exploring Negated Entites for Named Entity Recognition in Italian Lung Cancer Clinical Reports2024
- An optimized ensemble search approach for classification of higher-level gait disorder using brain magnetic resonance images2024medical imaging clinical prediction
- BodySLAM: A Generalized Monocular Visual SLAM Framework for Surgical ApplicationsarXiv preprint arXiv:2408.03078, 2024medical imaging
- Multimodal explainability via latent shift applied to COVID-19 stratification2024explainability multimodal learning COVID-19
- Multi input–Multi output 3D CNN for dementia severity assessment with incomplete multimodal data2024
- Cross-Modality Calibration in Multi-Input Network for Axillary Lymph Node Metastasis Evaluation2024radiomics oncology multimodal learning
- AI-based methodologies for exoskeleton-assisted rehabilitation of the lower limb: a review2024medical imaging
- Machine learning predicts pulmonary Long Covid sequelae using clinical data2024clinical prediction
- A deep learning approach for overall survival prediction in lung cancer with missing values2024clinical prediction oncology
- Toward a Multimodal Deep Learning Approach for Histological Subtype Classification in NSCLC2024oncology multimodal learning medical imaging
2023
- RadioPathomics: Multimodal Learning in Non-Small Cell Lung Cancer for Adaptive Radiotherapy2023radiomics oncology multimodal learning
- MATNet: Multi-Level Fusion Transformer-Based Model for Day-Ahead PV Generation ForecastingarXiv preprint arXiv:2306.10356, 2023foundation models multimodal learning medical imaging
- Stage I Stereotactic Body Radiation Therapy Outcome’s Prediction Models: Perfection Is the Enemy of Utility2023
- Radiomic Machine-Learning Analysis of Multiparametric Magnetic Resonance Imaging in the Diagnosis of Clinically Significant Prostate Cancer: New Combination of Textural and Clinical Features2023radiomics oncology medical imaging
- Named Entity Recognition in Italian Lung Cancer Clinical Reports using Transformers2023oncology foundation models medical imaging
- Deep pathomics: A new image-based tool for predicting response to treatment in stage III non-small cell lung cancer2023radiomics oncology medical imaging
- Multi-objective optimization determines when, which and how to fuse deep networks: An application to predict COVID-19 outcomes2023COVID-19 multimodal learning clinical prediction
- Exploring Early Stress Detection from Multimodal Time Series with Deep Reinforcement Learning2023
- A Comparative Study Between Paired And Unpaired Image Quality Assessment In Low-Dose CT Denoising2023medical imaging
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- Early Experiences on using Triplet Networks for Histological Subtype Classification in Non-Small Cell Lung Cancer2023radiomics oncology medical imaging
2022
- An empirical study on the joint impact of feature selection and data resampling on imbalance classification2022
- PyTrack: A Map-Matching-Based Python Toolbox for Vehicle Trajectory Reconstruction2022clinical prediction medical imaging
- Exploiting AI to make insulin pens smart: injection site recognition and lipodystrophy detection2022
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- CNN-Based Approaches with Different Tumor Bounding Options for Lymph Node Status Prediction in Breast DCE-MRI2022radiomics oncology clinical prediction
- Comparison of current methods for
anti‐dsDNA antibody detection and reshaping diagnostic strategies2022 -
- Evaluating Tumour Bounding Options for Deep Learning-based Axillary Lymph Node Metastasis Prediction in Breast Cancer2022radiomics oncology clinical prediction
- Quantib Prostate Compared to an Expert Radiologist for the Diagnosis of Prostate Cancer on mpMRI: A Single-Center Preliminary Study2022radiomics oncology clinical prediction
- Artificial Intelligence in Bone Metastases: An MRI and CT Imaging Review2022radiomics medical imaging
- MRI- and Histologic-Molecular-Based Radio-Genomics Nomogram for Preoperative Assessment of Risk Classes in Endometrial Cancer2022radiomics oncology generative AI
- A Multimodal Ensemble Driven by Multiobjective Optimisation to Predict Overall Survival in Non-Small-Cell Lung Cancer2022multimodal learning oncology clinical prediction
- 3T-MRI Artificial Intelligence in Patients with Invasive Breast Cancer to Predict Distant Metastasis Status: A Pilot Study2022radiomics oncology medical imaging
2021
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- Deep Reinforcement Learning for Fractionated Radiotherapy in Non-Small Cell Lung Carcinoma2021
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- AIforCOVID: Predicting the clinical outcomes in patients with COVID-19 applying AI to chest-X-rays. An Italian multicentre study2021COVID-19 medical imaging clinical prediction
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- The Impact of Tumor Edema on T2-Weighted 3T-MRI Invasive Breast Cancer Histological Characterization: A Pilot Radiomics Study2021radiomics oncology medical imaging
- On the Additional Information Provided by 3T-MRI ADC in Predicting Tumor Cellularity and Microscopic Behavior2021
- 3T MRI-Radiomic Approach to Predict for Lymph Node Status in Breast Cancer Patients2021
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- Pareto optimization of deep networks for COVID-19 diagnosis from chest X-rays2021COVID-19 medical imaging clinical prediction
- A Multi-Expert System to Detect COVID-19 Cases in X-ray Images2021COVID-19 medical imaging multimodal learning
- Describing rumours: a comparative evaluation of two handcrafted representations for rumour detection2021
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2020
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- Radiomic analysis of T2 and ADC mpMRI images in the diagnosis of clinical significant prostate cancer: An early experience2020
- The new era of LED microscopes in immunofluorescence anti-nuclear antibody (ANA) testing2020
- Positive tissue transglutaminase antibodies with negative endomysial antibodies: Unresolved issues in diagnosing celiac disease2020
- Auto-Regressive Time Delayed jump neural network for blood glucose levels forecasting2020
- Radiomics-Based Prediction of Overall Survival in Lung Cancer Using Different Volumes-Of-Interest2020
- Time-Window SIQR Analysis of COVID-19 Outbreak and Containment Measures in Italy2020
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2019
- On Autonomous Systems: From Reflexive, Imperative and Adaptive Intelligence to Autonomous and Cognitive Intelligence2019
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- Early Radiomic Experiences in Classifying Prostate Cancer Aggressiveness using 3D Local Binary Patterns2019
- Radiomics for Distinguishing Myocardial Infarction from Myocarditis at Late Gadolinium Enhancement at MRI: Comparison with Subjective Visual Analysis2019
- Early Experience in Forecasting Blood Glucose Levels Using a Delayed and Auto-Regressive Jump Neural Network2019
- Early radiomics experiences in predicting CyberKnife response in acoustic neuroma2019
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- AI-based applications in hybrid imaging: how to build smart and truly multi-parametric decision models for radiomics2019
2018
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- Exploratory Radiomics for Predicting Adaptive Radiotherapy in Non-Small Cell Lung Cancer2018
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- A radiomic approach for adaptive radiotherapy in non-small cell lung cancer patients2018radiomics oncology clinical prediction
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- A computer-aided diagnosis system for HEp-2 fluorescence intensity classification2018
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- Analytical variability in the determination of anti-double-stranded DNA antibodies: the strong need of a better definition of the old and new tests2018
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- Early experiences in 4D quantitative analysis of insulin granules in living beta-cells2018
- A decision support system for type 1 diabetes mellitus diagnostics based on dual channel analysis of red blood cell membrane fluidity2018
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2017
- Feature selection and resampling in class imbalance learning: Which comes first? An empirical study in the biological domain2017
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- The inter-observer reading variability in anti-nuclear antibodies indirect (ANA) immunofluorescence test: A multicenter evaluation and a review of the literature2017
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- Phase separation of the plasma membrane in human red blood cells as a potential tool for diagnosis and progression monitoring of type 1 diabetes mellitus2017
2016
- A survey on using domain and contextual knowledge for human activity recognition in video streams2016
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- The burden of the variability introduced by the HEp-2 assay kit and the CAD system in ANA indirect immunofluorescence test2016
- Early Experiences in Using Blood Cells Biomembranes as Markers for Diabetes Diagnosis2016
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2015
- Computer-based automatic identification of neurons in gigavoxel-sized 3D human brain images2015
- Quantitative neuroanatomy of all Purkinje cells with light sheet microscopy and high-throughput image analysis2015
- A multi-environment dataset for activity of daily living recognition in video streams2015
2014
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- BioImage Informatics: The challenge of knowledge extraction from biological images2014
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- Large-scale automated identification of mouse brain cells in confocal light sheet microscopy images2014
- The classification of Crithidia luciliae immunofluorescence test (CLIFT) using a novel automated system2014
- A HPC infrastructure for processing and visualizing neuro-anatomical images obtained by Confocal Light Sheet Microscopy2014
2013
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- The illusion box of Syndactyly: Setup and ad hoc algorithm to induce virtual fingers webbing2013
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- A Slightly Supervised Approach for Positive/Negative Classification of Fluorescence Intensity in HEp-2 Images2013
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- Solving biomedical classification tasks by softmax reconstruction in ECOC framework2013
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2012
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- Whole-body isometric force/torque measurements for functional assessment in neuro-rehabilitation: User interface and data pre-processing techniques2012
- A bag of visual words approach for centromere and cytoplasmic staining pattern classification on HEp-2 images2012
- Polichotomies on Imbalanced Domains by One-per-Class Compensated Reconstruction Rule2012
- Biomedical Images Classification by Universal Nearest Neighbours Classifier Using Posterior Probability2012
2011
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- Novel opportunities in automated classification of antinuclear antibodies on HEp-2 cells2011
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2010
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- Human movement onset detection from isometric force and torque measurements: A supervised pattern recognition approach2010
- Decomposition Methods and Learning Approaches for Imbalanced Dataset: An Experimental Integration2010
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- Video-Rhino-Hygrometer: A New Method for Evaluation of Nasal Breathing after Nasal Surgery2010
2009
- An experimental comparison of MES aggregation rules in case of imbalanced datasets2009
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- Aggregation of Classifiers for Staining Pattern Recognition in Antinuclear Autoantibodies Analysis2009
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- On the use of classification reliability for improving performance of the one-per-class decomposition method2009
2008
- The Relevance of Computer-Aided-Diagnosis Systems in Microscopy Applications to Medicine and Biology2008
- Reliability Estimators for Classification by Decomposition Method: Experiments in the Medical Domain2008
- Facing Polychotomies through Classification by Decomposition: Applications in the Bio-medical Domain2008
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- A multiple expert system for classifying fluorescent intensity in antinuclear autoantibodies analysis2008
2007
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- Indirect immunofluorescence in autoimmune diseases: Assessment of digital images for diagnostic purpose2007
2006
- Photo-bleaching compensation for autofocus algorithms in fluorescence microscope applications2006
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- A Multi-Expert System to Classify Fluorescent Intensity in Antinuclear Autoantibodies Testing2006
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- Resilient Vision-Tabular Multimodal Learning under Modality MissingnessarXiv preprint arXiv:2605.12031
- Mask-Aware Transformers Enable Robust Learning from Incomplete Volumetric Medical Imaging