Methods for greyscale representation of HEp-2 colour images. - Ermanno Cordelli; Paolo Soda (CBMS, 2010)

Color to grayscale staining pattern representation in IIF. - Ermanno Cordelli; Paolo Soda (CBMS, 2011)

Computer-based automatic identification of neurons in gigavoxel-sized 3D human brain images. - Paolo Soda; Ludovica Acciai; Ermanno Cordelli; Irene Costantini; Leonardo Sacconi; Francesco Saverio Pavone; Valerio Conti; Renzo Guerrini; Paolo Frasconi; Giulio Iannello (EMBC, 2015)

Early Experiences in Using Blood Cells Biomembranes as Markers for Diabetes Diagnosis. - Ermanno Cordelli; Giovambattista Pani; Dario Pitocco; Giuseppe Maulucci; Paolo Soda (CBMS, 2016)

Early experiences in 4D quantitative analysis of insulin granules in living beta-cells. - Ermanno Cordelli; Mario Merone; Flavio Di Giacinto; Bareket Daniel; Giuseppe Maulucci; Shlomo Sasson; Paolo Soda (BIBM, 2018)

Radiomics for Predicting CyberKnife response in acoustic neuroma: a pilot study. - Natascha Claudia D'Amico; Rosa Sicilia; Ermanno Cordelli; Giovanni Valbusa; Enzo Grossi; Isa Bossi Zanetti; Giancarlo Beltramo; Deborah Fazzini; Giuseppe Scotti; Giulio Iannello; Paolo Soda (BIBM, 2018)

Cross-topic Rumour Detection in the Health Domain. - Rosa Sicilia; Mario Merone; Roberto Valenti; Ermanno Cordelli; Federico D'Antoni; Vincenzo De Ruvo; Patrizia Benedetta Dragone; Sara Esposito; Paolo Soda (BIBM, 2018)

Exploratory Radiomics for Predicting Adaptive Radiotherapy in Non-Small Cell Lung Cancer. - Rosa Sicilia; Ermanno Cordelli; Sara Ramella; Michele Fiore; Carlo Greco; Elisabetta Molfese; Marianna Miele; Enrica Vinciguerra; Patrizia Cornacchione; Edy Ippolito; Rolando Maria D'Angelillo; Giulio Iannello; et al. (CBMS, 2018)

A Smart Sensor Architecture for eHealth Applications. - Ermanno Cordelli; Giorgio Pennazza; Marco Sabatini; Marco Santonico; Luca Vollero (COMPSAC (2), 2018)

A decision support system for type 1 diabetes mellitus diagnostics based on dual channel analysis of red blood cell membrane fluidity. - Ermanno Cordelli; Giuseppe Maulucci; Marco De Spirito; Alessandro Rizzi; Dario Pitocco; Paolo Soda (Comput. Methods Programs Biomed., 2018)

Early Radiomic Experiences in Classifying Prostate Cancer Aggressiveness using 3D Local Binary Patterns. - Rosa Sicilia; Ermanno Cordelli; Mario Merone; Elia Luperto; Rocco Papalia; Giulio Iannello; Paolo Soda (CBMS, 2019)

Tackling imbalance radiomics in acoustic neuroma. - Natascha Claudia D'Amico; Mario Merone; Rosa Sicilia; Ermanno Cordelli; Federico D'Antoni; Isa Bossi Zanetti; Giovanni Valbusa; Enzo Grossi; Giancarlo Beltramo; Deborah Fazzini; Giuseppe Scotti; Giulio Iannello; et al. (Int. J. Data Min. Bioinform., 2019)

Radiomics-Based Non-Invasive Lymph Node Metastases Prediction in Breast Cancer. - Ermanno Cordelli; Rosa Sicilia; Domiziana Santucci; Carlo de Felice; Carlo Cosimo Quattrocchi; Bruno Beomonte Zobel; Giulio Iannello; Paolo Soda (CBMS, 2020)

Time-Window SIQR Analysis of COVID-19 Outbreak and Containment Measures in Italy. - Ermanno Cordelli; Matteo Tortora; Rosa Sicilia; Paolo Soda (CBMS, 2020)

On Using Meta-Features to Learn Under Class Skew in Biomedical Domains. - Rosa Sicilia; Ermanno Cordelli; Paolo Soda (CBMS, 2020)

Categorizing the feature space for two-class imbalance learning. - Rosa Sicilia; Ermanno Cordelli; Paolo Soda (ICPR, 2020)

Explainable AI for Car Crash Detection using Multivariate Time Series. - Lorenzo Tronchin; Rosa Sicilia; Ermanno Cordelli; Lorenzo Ricciardi Celsi; Daniele Maccagnola; Massimo Natale; Paolo Soda (ICCI*CC, 2021)

A Multi-Expert System to Detect COVID-19 Cases in X-ray Images. - Valerio Guarrasi; Natascha Claudia D'Amico; Rosa Sicilia; Ermanno Cordelli; Paolo Soda (CBMS, 2021)

Exploring Deep Pathomics in Lung Cancer. - Charles Z. Liu; Rosa Sicilia; Matteo Tortora; Ermanno Cordelli; Lorenzo Nibid; Giovanna Sabarese; Giuseppe Perrone; Michele Fiore; Sara Ramella; Paolo Soda (CBMS, 2021)

Evaluating GANs in Medical Imaging. - Lorenzo Tronchin; Rosa Sicilia; Ermanno Cordelli; Sara Ramella; Paolo Soda (DGM4MICCAI/DALI@MICCAI, 2021)

Deep Reinforcement Learning for Fractionated Radiotherapy in Non-Small Cell Lung Carcinoma. - Matteo Tortora; Ermanno Cordelli; Rosa Sicilia; Marianna Miele; Paolo Matteucci; Giulio Iannello; Sara Ramella; Paolo Soda (Artif. Intell. Medicine, 2021)

Visual4DTracker: a tool to interact with 3D + t image stacks. - Ermanno Cordelli; Paolo Soda; Giulio Iannello (BMC Bioinform., 2021)

AIforCOVID: Predicting the clinical outcomes in patients with COVID-19 applying AI to chest-X-rays. An Italian multicentre study. - Paolo Soda; Natascha Claudia D'Amico; Jacopo Tessadori; Giovanni Valbusa; Valerio Guarrasi; Chandra Bortolotto; Muhammad Usman Akbar; Rosa Sicilia; Ermanno Cordelli; Deborah Fazzini; Michaela Cellina; Giancarlo Oliva; et al. (Medical Image Anal., 2021)

Exploiting AI to make insulin pens smart: injection site recognition and lipodystrophy detection. - Elisabetta Torre; Luisa Francini; Ermanno Cordelli; Rosa Sicilia; Silvia Manfrini; Vincenzo Piemonte; Paolo Soda (CBMS, 2022)

Evaluating Tumour Bounding Options for Deep Learning-based Axillary Lymph Node Metastasis Prediction in Breast Cancer. - Michela Gravina; Ermanno Cordelli; Domiziana Santucci; Paolo Soda; Carlo Sansone (ICPR, 2022)

PyTrack: A Map-Matching-Based Python Toolbox for Vehicle Trajectory Reconstruction. - Matteo Tortora; Ermanno Cordelli; Paolo Soda (IEEE Access, 2022)

A Multimodal Ensemble Driven by Multiobjective Optimisation to Predict Overall Survival in Non-Small-Cell Lung Cancer. - Camillo Maria Caruso; Valerio Guarrasi; Ermanno Cordelli; Rosa Sicilia; Silvia Gentile; Laura Messina; Michele Fiore; Claudia L. Piccolo; Bruno Beomonte Zobel; Giulio Iannello; Sara Ramella; Paolo Soda (J. Imaging, 2022)

Pareto optimization of deep networks for COVID-19 diagnosis from chest X-rays. - Valerio Guarrasi; Natascha Claudia D'Amico; Rosa Sicilia; Ermanno Cordelli; Paolo Soda (Pattern Recognit., 2022)

Sustainable AI: inside the deep, alongside the green. - Francesco Conte; Ermanno Cordelli; Valerio Guarrasi; Giulio Iannello; Rosa Sicilia; Paolo Soda; Matteo Tortora (Ital-IA, 2023)

Making AI trustworthy in multimodal and healthcare scenarios. - Ermanno Cordelli; Valerio Guarrasi; Giulio Iannello; Filippo Ruffini; Rosa Sicilia; Paolo Soda; Lorenzo Tronchin (Ital-IA, 2023)

Building an AI-Enabled Metaverse for Intelligent Healthcare: Opportunities and Challenges. - Valerio Guarrasi; Lorenzo Tronchin; Camillo Maria Caruso; Aurora Rofena; Guido Manni; Fatih Aksu; Domenico Paolo; Giulio Iannello; Rosa Sicilia; Ermanno Cordelli; Paolo Soda (Ital-IA, 2023)

RadioPathomics: Multimodal Learning in Non-Small Cell Lung Cancer for Adaptive Radiotherapy. - Matteo Tortora; Ermanno Cordelli; Rosa Sicilia; Lorenzo Nibid; Edy Ippolito; Giuseppe Perrone; Sara Ramella; Paolo Soda (IEEE Access, 2023)

Leveraging Key-Points Encoded Human Pose Images for Human Activity Recognition. - Gaia Virginia Dobici; Luca Minutillo; Ermanno Cordelli; Francesco Chirico; Goffredo Foglia; Paolo Soda (ECCV Workshops (13), 2024)

Enhancing NSCLC Histological Subtype Classification: A Federated Learning Approach Using Triplet Loss. - Fatih Aksu; Ermanno Cordelli; Fabrizia Gelardi; Arturo Chiti; Paolo Soda (ICPR (Workshops and Challenges, 2), 2024)

Virtual Scanner: Leveraging Resilient Generative AI for Radiological Imaging in the Era of Medical Digital Twins. - Carolina Adornato; Cecilia Assolito; Ermanno Cordelli; Francesco Di Feola; Valerio Guarrasi; Giulio Iannello; Lorenzo Marcoccia; Elena Mulero Ayllon; Rebecca Restivo; Aurora Rofena; Rosa Sicilia; Paolo Soda; et al. (Ital-IA, 2024)

Towards AI-driven Next Generation Personalized Healthcare and Well-being. - Fatih Aksu; Alessandro Bria; Alice Natalina Caragliano; Camillo Maria Caruso; Wenting Chen; Ermanno Cordelli; Omar Coser; Arianna Francesconi; Leonardo Furia; Valerio Guarrasi; Giulio Iannello; Clemente Lauretti; et al. (Ital-IA, 2024)

Translating Image XAI to Multivariate Time Series. - Lorenzo Tronchin; Ermanno Cordelli; Lorenzo Ricciardi Celsi; Daniele Maccagnola; Massimo Natale; Paolo Soda; Rosa Sicilia (IEEE Access, 2024)

Cross-Modality Calibration in Multi-Input Network for Axillary Lymph Node Metastasis Evaluation. - Michela Gravina; Domiziana Santucci; Ermanno Cordelli; Paolo Soda; Carlo Sansone (IEEE Trans. Artif. Intell., 2024)

Machine learning predicts pulmonary Long Covid sequelae using clinical data. - Ermanno Cordelli; Paolo Soda; Sara Citter; Elia Schiavon; Christian Salvatore; Deborah Fazzini; Greta Clementi; Michaela Cellina; Andrea Cozzi; Chandra Bortolotto; Lorenzo Preda; Luisa Francini; et al. (BMC Medical Informatics Decis. Mak., 2024)

AI-Powered Insulin Pens for Pediatric Diabetes: Advancements in Lipodystrophy Detection and Injection Site Recognition. - Lorenzo Pede; Mariangela Martino; Maria Elisa Amodeo; Francesca Silvestri; Sebastiano Battista Romano Viglialoro; Daria Maggi; Dario Tuccinardi; Vincenzo Piemonte; Silvia Manfrini; Riccardo Schiaffini; Paolo Soda; Ermanno Cordelli (CBMS, 2025)

Correction: Machine learning predicts pulmonary long Covid sequelae using clinical data. - Ermanno Cordelli; Paolo Soda; Sara Citter; Elia Schiavon; Christian Salvatore; Deborah Fazzini; Greta Clementi; Michaela Cellina; Andrea Cozzi; Chandra Bortolotto; Lorenzo Preda; Luisa Francini; et al. (BMC Medical Informatics Decis. Mak., 2025)