Using CNNs for Designing and Implementing an Automatic Vascular Segmentation Method of Biomedical Images. - Pierangela Bruno; Paolo Zaffino; Salvatore Scaramuzzino; Salvatore De Rosa; Ciro Indolfi; Francesco Calimeri; Maria Francesca Spadea (AI*IA, 2018)

Segmentation of vessel tree from cine-angiography images for intraoperative clinical evaluation. - Pierangela Bruno; Paolo Zaffino; Salvatore Scaramuzzino; Salvatore De Rosa; Ciro Indolfi; Francesco Calimeri; Maria Francesca Spadea (RiCeRcA@AI*IA, 2018)

Classification and Survival Prediction in Diffuse Large B-Cell Lymphoma by Gene Expression Profiling. - Pierangela Bruno; Francesco Calimeri; Aldo Marzullo (LOD, 2018)

Using Heatmaps for Deep Learning based Disease Classification. - Pierangela Bruno; Francesco Calimeri (CIBCB, 2019)

Understanding Automatic Pneumonia Classification Using Chest X-Ray Images. - Pierangela Bruno; Francesco Calimeri (AI*IA, 2020)

Understanding Automatic COVID-19 Classification Using Chest X-ray images. - Pierangela Bruno; Cinzia Marte; Francesco Calimeri (XAI.it@AI*IA, 2020)

Understanding Automatic Diagnosis and Classification Processes with Data Visualization. - Pierangela Bruno; Francesco Calimeri; Alexandre Sébastien Kitanidis; Elena De Momi (ICHMS, 2020)

Evaluating the Impact of Training Loss on MR to Synthetic CT Conversion. - Moiz Khan Sherwani; Paolo Zaffino; Pierangela Bruno; Maria Francesca Spadea; Francesco Calimeri (LOD (1), 2020)

Data reduction and data visualization for automatic diagnosis using gene expression and clinical data. - Pierangela Bruno; Francesco Calimeri; Alexandre Sébastien Kitanidis; Elena De Momi (Artif. Intell. Medicine, 2020)

Robust Medical Instrument Segmentation Challenge 2019. - Tobias Roß; Annika Reinke; Peter M. Full; Martin Wagner 001; Hannes Kenngott; Martin Apitz; Hellena Hempe; Diana Mîndroc-Filimon; Patrick Scholz 001; Thuy Nuong Tran; Pierangela Bruno; Pablo Arbeláez; et al. (CoRR, 2020)

Heidelberg Colorectal Data Set for Surgical Data Science in the Sensor Operating Room. - Lena Maier-Hein; Martin Wagner 001; Tobias Roß; Annika Reinke; Sebastian Bodenstedt; Peter M. Full; Hellena Hempe; Diana Mîndroc-Filimon; Patrick Scholz 001; Thuy Nuong Tran; Pierangela Bruno; Anna Kisilenko; et al. (CoRR, 2020)

Combining Deep Learning and ASP-Based Models for the Semantic Segmentation of Medical Images. - Pierangela Bruno; Francesco Calimeri; Cinzia Marte; Marco Manna (RuleML+RR, 2021)

How can we learn (more) from challenges? A statistical approach to driving future algorithm development. - Tobias Roß; Pierangela Bruno; Annika Reinke; Manuel Wiesenfarth; Lisa Koeppel; Peter M. Full; Bünyamin Pekdemir; Patrick Godau; Darya Trofimova; Fabian Isensee; Sara Moccia; Francesco Calimeri; et al. (CoRR, 2021)

Comparative validation of multi-instance instrument segmentation in endoscopy: Results of the ROBUST-MIS 2019 challenge. - Tobias Roß; Annika Reinke; Peter M. Full; Martin Wagner 001; Hannes Kenngott; Martin Apitz; Hellena Hempe; Diana Mîndroc-Filimon; Patrick Scholz 001; Thuy Nuong Tran; Pierangela Bruno; Pablo Arbeláez; et al. (Medical Image Anal., 2021)

Continual Learning for medical image classification. - Alessandro Quarta; Pierangela Bruno; Francesco Calimeri (HC@AIxIA, 2022)

DeduDeep: An Extensible Framework for Combining Deep Learning and ASP-Based Models. - Pierangela Bruno; Francesco Calimeri; Cinzia Marte (LPNMR, 2022)

A Parallelization Approach for Hybrid-AI-based Models: an Application Study for Semantic Segmentation of Medical Images. - Marco Scarfone; Pierangela Bruno; Francesco Calimeri (HYDRA/RCRA@LPNMR, 2022)

Assessing vascular complexity of PAOD patients by deep learning-based segmentation and fractal dimension. - Pierangela Bruno; Maria Francesca Spadea; Salvatore Scaramuzzino; Salvatore De Rosa; Ciro Indolfi; Giuseppe Gargiulo; Giuseppe Giugliano; Giovanni Esposito; Francesco Calimeri; Paolo Zaffino (Neural Comput. Appl., 2022)

Artificial Intelligence in Medicine: From Imaging to Omics. - Carlo Adornetto; Pierangela Bruno; Francesco Calimeri; Edoardo De Rose; Gianluigi Greco (Ital-IA, 2023)

Data Augmentation: a Combined Inductive-Deductive Approach featuring Answer Set Programming. - Pierangela Bruno; Francesco Calimeri; Cinzia Marte; Simona Perri (CoRR, 2023)

Beyond rankings: Learning (more) from algorithm validation. - Tobias Roß; Pierangela Bruno; Annika Reinke; Manuel Wiesenfarth; Lisa Koeppel; Peter M. Full; Bünyamin Pekdemir; Patrick Godau; Darya Trofimova; Fabian Isensee; Tim J. Adler; Thuy Nuong Tran; et al. (Medical Image Anal., 2023)

IDADA: A Blended Inductive-Deductive Approach for Data Augmentation. - Pierangela Bruno; Francesco Calimeri; Francesca Filice; Cinzia Marte; Simona Perri (AI*IA, 2024)

A Tool For Reasoning Over CNL Sentences With Temporal Constructs. - Pierangela Bruno; Simone Caruso; Carmine Dodaro; Marco Maratea (Datalog, 2024)

To Heart via Liver: a Study on Prognostic Stratification of Heart Disease in MASLD Patients using Machine Learning Models. - Pierangela Bruno; Antonio Cirella; Ernesto Di Cesare; Gianluigi Greco; Antonella Guzzo; Pierpaolo Palumbo; Silvano Junior Santini; Gaia Sinatti; Pierpaolo Vittorini; Francesco Calimeri; Clara Balsano (HC@AIxIA, 2024)

Deep Learning Approaches for Segmentation and Classification of Breast Ultrasound Images (Short Paper). - Megan Macrì; Pierangela Bruno; Carmine Dodaro (HC@AIxIA, 2024)

AI-Driven Innovations in Healthcare: Bridging Imaging and Genomics for Advanced Disease Insights. - Carlo Adornetto; Pierangela Bruno; Francesco Calimeri; Edoardo De Rose; Gianluigi Greco; Alessandro Quarta (Ital-IA, 2024)

μ-Net: A Deep Learning-Based Architecture for μ-CT Segmentation. - Pierangela Bruno; Edoardo De Rose; Carlo Adornetto; Francesco Calimeri; Sandro Donato; Raffaele Giuseppe Agostino; Daniela Amelio; Riccardo Barberi; Maria Carmela Cerra; Maria Caterina Crocco; Mariacristina Filice; Raffaele Filosa; et al. (CoRR, 2024)

Improving ASP-Based ORS Schedules through Machine Learning Predictions. - Pierangela Bruno; Carmine Dodaro; Giuseppe Galatà; Marco Maratea; Marco Mochi (Theory Pract. Log. Program., 2025)

Continual Learning in Medicine: A Systematic Literature Review. - Pierangela Bruno; Alessandro Quarta; Francesco Calimeri (Neural Process. Lett., 2025)

A multi-model deep learning approach for the identification of coronary artery calcifications within 2D coronary angiography images. - Edoardo De Rose; Ciro Benito Raggio; Ahmad Riccardo Rasheed; Pierangela Bruno; Paolo Zaffino; Salvatore De Rosa; Francesco Calimeri; Maria Francesca Spadea (Int. J. Comput. Assist. Radiol. Surg., 2025)