Fusion of Visual and Anamnestic Data for the Classification of Skin Lesions with Deep Learning. - Simone Bonechi; Monica Bianchini; Pietro Bongini; Giorgio Ciano; Giorgia Giacomini; Riccardo Rosai; Linda Tognetti; Alberto Rossi; Paolo Andreini (ICIAP Workshops, 2019)

Graph Neural Networks for the Prediction of Protein-Protein Interfaces. - Niccolò Pancino; Alberto Rossi; Giorgio Ciano; Giorgia Giacomini; Simone Bonechi; Paolo Andreini; Franco Scarselli; Monica Bianchini; Pietro Bongini (ESANN, 2020)

Deep Learning Techniques for Dragonfly Action Recognition. - Martina Monaci; Niccolò Pancino; Paolo Andreini; Simone Bonechi; Pietro Bongini; Alberto Rossi; Giorgio Ciano; Giorgia Giacomini; Franco Scarselli; Monica Bianchini (ICPRAM, 2020)

SlAide2Voice: a new educational tool for students with visual disabilities. - Giorgio Ciano; Giovanna Maria Dimitri; Alberto Rossi; Giorgia Giacomini; Simone Bonechi; Paolo Andreini; Elisa Messori (teleXbe, 2021)

A multi-stage GAN for multi-organ chest X-ray image generation and segmentation. - Giorgio Ciano; Paolo Andreini; Tommaso Mazzierli; Monica Bianchini; Franco Scarselli (CoRR, 2021)

CrossCT: CNN and Transformer cross–teaching for multimodal image cell segmentation. - Sara Joubbi; Giorgio Ciano; Dario Cardamone; Giuseppe Maccari; Duccio Medini (Cell Segmentation Challenge @ NeurIPS, 2022)

On Inductive-Transductive Learning With Graph Neural Networks. - Giorgio Ciano; Alberto Rossi; Monica Bianchini; Franco Scarselli (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Pre-trained Models Based on Primary Sequence to Classify Antibody Binding to Protein and Non-protein Targets with 80% Accuracy. - Sara Joubbi; Giuseppe Maccari; Dario Cardamone; Giorgio Ciano; Alessio Micheli; Paolo Milazzo; Duccio Medini (CIBB, 2023)

Deep Learning for Classifying Anti-Shigella Opsono- Phagocytosis-Promoting Monoclonal Antibodies. - Elena Pianfetti; Dario Cardamone; Emanuele Roscioli; Giorgio Ciano; Giuseppe Maccari; Claudia Sala; Francesca Micoli; Rino Rappuoli; Duccio Medini; Elisa Ficarra (MOVI@MICCAI, 2024)

Antibody design using deep learning: from sequence and structure design to affinity maturation. - Sara Joubbi; Alessio Micheli; Paolo Milazzo; Giuseppe Maccari; Giorgio Ciano; Dario Cardamone; Duccio Medini (Briefings Bioinform., 2024)

Improving Antibody-Antigen Interaction Prediction Through Flexibility with ESMFold. - Sara Joubbi; Giuseppe Maccari; Giorgio Ciano; Alessio Micheli; Paolo Milazzo; Duccio Medini (BIOSTEC (1), 2025)