Paolo Andreini

According to our database, Paolo Andreini authored at least 28 papers between 2015 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

An analysis of pre-trained stable diffusion models through a semantic lens.

Simone Bonechi, Paolo Andreini, Barbara Toniella Corradini, Franco Scarselli

Neurocomputing, 2025

A smart virtual keyboard to improve communication of locked-in patients.

Alessia Lucia Prete, Paolo Andreini, Simone Bonechi, Monica Bianchini

Comput. Stand. Interfaces, 2025

2024

Enhancing glomeruli segmentation through cross-species pre-training.

Paolo Andreini, Simone Bonechi, Giovanna Maria Dimitri

Neurocomputing, January, 2024

Diff-Props: is Semantics Preserved within a Diffusion Model?

Simone Bonechi, Paolo Andreini, Barbara Toniella Corradini, Franco Scarselli

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 28th International Conference KES-2024, 2024

2023

Deep Learning Techniques for Text Generation to Support Augmentative and Alternative Communication.

Alessia Lucia Prete, David Landi, Paolo Andreini, Monica Bianchini

Proceedings of the IEEE International Conference on Metrology for eXtended Reality, 2023

Enhancing Fluorescence Image Analysis through Deep Learning.

Paolo Andreini, Simone Bonechi, Alessandro Mecocci, Veronica Lucia Rossi, Giuseppe Ferorelli, Giorgio Chini, Antonio Sanesi

Proceedings of the IEEE International Conference on Metrology for eXtended Reality, 2023

Exploring the Role of Recursive Convolutional Layer in Generative Adversarial Networks.

Barbara Toniella Corradini, Paolo Andreini, Markus Hagenbuchner, Franco Scarselli, Ah Chung Tsoi

Proceedings of the Artificial Neural Networks and Machine Learning, 2023

2022

A Neural Network Approach for the Analysis of Reproducible Ribo-Seq Profiles.

Giorgia Giacomini, Caterina Graziani, Veronica Lachi, Pietro Bongini, Niccolò Pancino, Monica Bianchini, Davide Chiarugi, Angelo Valleriani, Paolo Andreini

Algorithms, 2022

A Deep Learning approach for oocytes segmentation and analysis.

Paolo Andreini, Niccolò Pancino, Filippo Costanti, Gabriele Eusepi, Barbara Toniella Corradini

Proceedings of the 30th European Symposium on Artificial Neural Networks, 2022

Deep Semantic Segmentation Models in Computer Vision.

Paolo Andreini, Giovanna Maria Dimitri

Proceedings of the 30th European Symposium on Artificial Neural Networks, 2022

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

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

Proceedings of the First Workshop on Technology Enhanced Learning Environments for Blended Education, 2021

2020

Weak supervision for generating pixel-level annotations in scene text segmentation.

Simone Bonechi, Monica Bianchini, Franco Scarselli, Paolo Andreini

Pattern Recognit. Lett., 2020

Deep Dynamic Factor Models.

Paolo Andreini, Cosimo Izzo, Giovanni Ricco

CoRR, 2020

Image generation by GAN and style transfer for agar plate image segmentation.

Paolo Andreini, Simone Bonechi, Monica Bianchini, Alessandro Mecocci, Franco Scarselli

Comput. Methods Programs Biomed., 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

Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods, 2020

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

Proceedings of the 28th European Symposium on Artificial Neural Networks, 2020

2019

A Two Stage GAN for High Resolution Retinal Image Generation and Segmentation.

Paolo Andreini, Simone Bonechi, Monica Bianchini, Alessandro Mecocci, Franco Scarselli, Andrea Sodi

CoRR, 2019

Analysis of brain NMR images for age estimation with deep learning.

Alberto Rossi, Gioele Vannuccini, Paolo Andreini, Simone Bonechi, Giorgia Giacomini, Franco Scarselli, Monica Bianchini

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 23rd International Conference KES-2019, 2019

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

Proceedings of the New Trends in Image Analysis and Processing - ICIAP 2019, 2019

COCO_TS Dataset: Pixel-Level Annotations Based on Weak Supervision for Scene Text Segmentation.

Simone Bonechi, Paolo Andreini, Monica Bianchini, Franco Scarselli

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Image Processing, 2019

2018

A Deep Learning Approach to Bacterial Colony Segmentation.

Paolo Andreini, Simone Bonechi, Monica Bianchini, Alessandro Mecocci, Franco Scarselli

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018

Generating Bounding Box Supervision for Semantic Segmentation with Deep Learning.

Simone Bonechi, Paolo Andreini, Monica Bianchini, Franco Scarselli

Proceedings of the Artificial Neural Networks in Pattern Recognition, 2018

2016

Automatic image classification for the urinoculture screening.

Paolo Andreini, Simone Bonechi, Monica Bianchini, Andrea Garzelli, Alessandro Mecocci

Comput. Biol. Medicine, 2016

Extraction of High Level Visual Features for the Automatic Recognition of UTIs.

Paolo Andreini, Simone Bonechi, Monica Bianchini, Andrea Baghini, Giovanni Bianchi, Francesco Guerri, Angelo Galano, Alessandro Mecocci, Guendalina Vaggelli

Proceedings of the Fuzzy Logic and Soft Computing Applications, 2016

ABLE: An Automated Bacterial Load Estimator for the Urinoculture Screening.

Paolo Andreini, Simone Bonechi, Monica Bianchini, Andrea Garzelli, Alessandro Mecocci

Proceedings of the 5th International Conference on Pattern Recognition Applications and Methods, 2016

2015

Automatic Image Classification for the Urinoculture Screening.

Paolo Andreini, Simone Bonechi, Monica Bianchini, Alessandro Mecocci, Vincenzo Di Massa

Proceedings of the Intelligent Decision Technologies, 2015

Automatic Image Analysis and Classification for Urinary Bacteria Infection Screening.

Paolo Andreini, Simone Bonechi, Monica Bianchini, Alessandro Mecocci, Vincenzo Di Massa

Proceedings of the Image Analysis and Processing - ICIAP 2015, 2015