Simone Bonechi

Simone Bonechi

Doctor of Engineering - Researcher at University of Siena

Publications

A Deep Learning Approach for Nystagmus Recognition in RGB Videos

Published in Proceedings, IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE), 2025

Recommended citation: Giacomo Nunziati, Andrea Porri, Paolo Andreini, Simone Bonechi, Monica Bianchini, Rudi Pecci, Mattia Ronchetti, Franco Scarselli, Simone Vanni. A Deep Learning Approach for Nystagmus Recognition in RGB Videos. 2025 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE) (pp. 1331-1336). IEEE. 2025. (BibTex)

Leveraging Segmentation Maps to improve Skin Lesion Classification

Published in Proceedings, European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN), 2025

Recommended citation: Simone Bonechi, Paolo Andreini, Fiamma Romagnoli. Leveraging Segmentation Maps to improve Skin Lesion Classification. Proceedings - 33rd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2025) (pp. 207-212). 2025. (BibTex)

A Comparison on Cross-Domain Representation Learning for Skin-Lesion Classification

Published in Proceedings, Italian Workshop on Artificial Life and Evolutionary Computation (WIVACE), Springer, 2025

Recommended citation: Paolo Andreini, Simone Bonechi, Monica Bianchini, Barbara Toniella Corradini, Franco Scarselli, F. Manni, M. Quercioli. A Comparison on Cross-Domain Representation Learning for Skin-Lesion Classification. Communications in Computer and Information Science, 3001 (pp. 47-60). 2025. (BibTex)

Enhancing Fluorescence Image Analysis through Deep Learning

Published in Proceedings, IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE), 2023

Recommended citation: Paolo Andreini, Simone Bonechi, Alessandro Mecocci, Veronica Lucia Rossi, Giuseppe Ferorelli, Giorgio Chini, & Antonio Sanesi, Enhancing Fluorescence Image Analysis through Deep Learning. In 2023 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE) (pp. 212-217). IEEE. 2023. (BibTex)

From Pixels to Diagnosis: AI-Driven Skin Lesion Recognition

Published in Neurocomputing, Elsevier, 2023

Recommended citation: Monica Bianchini, Paolo Andreini, & Simone Bonechi. From Pixels to Diagnosis: AI-Driven Skin Lesion Recognition. In Advances in Smart Healthcare Paradigms and Applications: Outstanding Women in Healthcare—Volume 1 (pp. 115-135). Cham: Springer Nature Switzerland. 2023. (BibTex)

Multi-stage Synthetic Image Generation for the Semantic Segmentation of Medical Images

Published in Advances in Smart Healthcare Paradigms and Applications, Springer, 2023

Recommended citation: Paolo Andreini, Simone Bonechi, Giorgio Ciano, Caterina Graziani, Veronica Lachi, Natalia Nikoloulopoulou, Monica Bianchini, and Franco Scarselli. Multi-stage Synthetic Image Generation for the Semantic Segmentation of Medical Images. pages 79–104. Springer International Publishing, Cham, 2023. (BibTex)

Deep Learning Approaches for mice glomeruli segmentation

Published in Proceedings, European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, 2022

Recommended citation: Duccio Meconcelli, Simone Bonechi, and Giovanna Maria Dimitri. Deep learning approaches for mice glomeruli segmentation. Proceedings, 30th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2022) (pp. 333–338). (BibTex)

A weakly supervised approach to skin lesion segmentation

Published in Proceedings, European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, 2022

Recommended citation: Simone Bonechi. A weakly supervised approach to skin lesion segmentation. Proceedings, 30th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2022) (pp. 321–326). (BibTex)

Deep Learning Approaches for the Segmentation of Glomeruli in Kidney Histopathological Images

Published in Mathematics, Multidisciplinary Digital Publishing Institute, 2022

Recommended citation: Giovanna Maria Dimitri, Paolo Andreini, Simone Bonechi, Monica Bianchini, Alessandro Mecocci, Franco Scarselli, Alberto Zacchi, Guido Garosi, Thomas Marcuzzo, and Sergio Antonio Tripodi. Deep learning approaches for the segmentation of glomeruli in kidney histopathological images. Mathematics, 10(11):1934, 2022 (BibTex)

Segmentation of Petri Plate Images for Automatic Reporting of Urine Culture Tests

Published in Handbook of Artificial Intelligence in Healthcare, Springer, 2022

Recommended citation: Simone Bonechi, Monica Bianchini, Alessandro Mecocci, Franco Scarselli, and Paolo Andreini. Segmentation of Petri plate images for automatic reporting of urine culture tests. In Handbook of Artificial Intelligence in Healthcare, pages 127–151. Springer, 2022. (BibTex)

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

Published in Electronics, Multidisciplinary Digital Publishing Institute, 2021

Recommended citation: Paolo Andreini, Giorgio Ciano, Simone Bonechi, Caterina Graziani, Veronica Lachi, Alessandro Mecocci, Andrea Sodi, Franco Scarselli, and Monica Bianchini. A two-stage GAN for high-resolution retinal image generation and segmentation. Electronics, 11(1):60, 2021. (BibTex)

Segmentation of Aorta 3D CT Images Based on 2D Convolutional Neural Networks

Published in Electronics, Multidisciplinary Digital Publishing Institute, 2021

Recommended citation: Simone Bonechi, Paolo Andreini, Alessandro Mecocci, Nicola Giannelli, Franco Scarselli, Eugenio Neri, Monica Bianchini, and Giovanna Maria Dimitri. Segmentation of aorta 3D CT images based on 2D convolutional neural networks. Electronics, 10(20):2559, 2021. (BibTex)

Investigating Issues and Needs of Dyslexic Students at University: Proof of Concept of an Artificial Intelligence and Virtual Reality-Based Supporting Platform and Preliminary Results

Published in Applied Sciences, Multidisciplinary Digital Publishing Institute, 2021

Recommended citation: Andrea Zingoni, Juri Taborri, Valentina Panetti, Simone Bonechi, Pilar Aparicio Martínez, Sara Pinzi, and Giuseppe Calabrò. Investigating issues and needs of dyslexic students at university: Proof of concept of an artificial intelligence and virtual reality-based supporting platform and preliminary results. Applied Sciences, 11(10):4624, 2021. (BibTex)

A new deep learning approach integrated with clinical data for the dermoscopic differentiation of early melanomas from atypical nevi

Published in Journal of Dermatological Science, Elsevier, 2021

Recommended citation: Linda Tognetti, Simone Bonechi, Paolo Andreini, Monica Bianchini, Franco Scarselli, Gabriele Cevenini, Elvira Moscarella, Francesca Farnetani, Caterina Longo, Aimilios Lallas, et al.. A new deep learning approach integrated with clinical data for the dermoscopic differentiation of early melanomas from atypical nevi. Journal of Dermatological Science, 101(2):115–122, 2021. (BibTex)

Graph Neural Networks for the Prediction of Protein–Protein Interfaces

Published in Proceedings, 28th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, 2020

Recommended citation: Niccolò Pancino, Alberto Rossi, Giorgio Ciano, Giorgia Giacomini, Simone Bonechi, Paolo Andreini, Franco Scarselli, Monica Bianchini, and Pietro Bongini. Graph neural networks for the prediction of protein-protein interfaces. In ESANN 2020 - Proceedings, 28th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, pages 127–132, 2020 (BibTex)

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

Published in Computer methods and programs in biomedicine, Elsevier, 2020

Recommended citation: Paolo Andreini, Simone Bonechi, Monica Bianchini, Alessandro Mecocci, and Franco Scarselli. Image generation by gan and style transfer for agar plate image segmentation. Computer methods and programs in biomedicine, 184:105268, 2020. (BibTex)

Deep Learning Techniques for Dragonfly Action Recognition

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

Recommended citation: Martina Monaci, Niccolò Pancino, Paolo Andreini, Simone Bonechi, Pietro Bongini, Alberto Rossi, Giorgio Ciano, Giorgia Giacomini, Franco Scarselli and Monica Bianchini. Deep Learning Techniques for Dragonfly Action Recognition. In Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods - ICPRAM, ISBN 978-989-758-397-1; ISSN 2184-4313, pages 562-569. 2020. DOI: 10.5220/0009150105620569 (BibTex)

Fusion of visual and anamnestic data for the classification of skin lesions with deep learning

Published in International Conference on Image Analysis and Processing, Springer, 2019

Recommended citation: Simone Bonechi, Monica Bianchini, Pietro Bongini, Giorgio Ciano, Giorgia Giacomini, Riccardo Rosai, Linda Tognetti, Alberto Rossi, and Paolo Andreini. Fusion of visual and anamnestic data for the classification of skin lesions with deep learning. In International Conference on Image Analysis and Processing, pages 211–219, Springer, 2019 (BibTex)

Confidence Measures for Deep Learning in Domain Adaptation

Published in Applied Sciences, Multidisciplinary Digital Publishing Institute, 2019

Recommended citation: Simone Bonechi, Paolo Andreini, Monica Bianchini, Akshay Pai, and Franco Scarselli. Confidence measures for deep learning in domain adaptation. Applied Sciences, 9(11):2192, 2019 (BibTex)

Analysis of brain NMR images for age estimation with deep learning

Published in Procedia Computer Science, Elsevier, 2019

Recommended citation: Alberto Rossi, Gioele Vannuccini, Paolo Andreini, Simone Bonechi, Giorgia Giacomini, Franco Scarselli, and Monica Bianchini. Analysis of brain NMR images for age estimation with deep learning. Procedia Computer Science, 159:981–989, 2019 (BibTex)

A deep learning approach to bacterial colony segmentation

Published in International Conference on Artificial Neural Networks, Springer, 2018

Recommended citation: Paolo Andreini, Simone Bonechi, Monica Bianchini, Alessandro Mecocci, and Franco Scarselli. A deep learning approach to bacterial colony segmentation. In International Conference on Artificial Neural Networks, pages 522–533, Springer, 2018 (BibTex)

Generating bounding box supervision for semantic segmentation with deep learning

Published in IAPR Workshop on Artificial Neural Networks in Pattern Recognition, Springer, 2018

Recommended citation: Simone Bonechi, Paolo Andreini, Monica Bianchini, and Franco Scarselli. Generating bounding box supervision for semantic segmentation with deep learning. In IAPR Workshop on Artificial Neural Networks in Pattern Recognition, pages 190–200, Springer, 2018. (BibTex)

Automatic image classification for the urinoculture screening

Published in International Conference on Intelligent Decision Technologies, Springer, 2017

Recommended citation: Paolo Andreini, Simone Bonechi, Monica Bianchini, Alessandro Mecocci, and Vincenzo Di Massa. Automatic image classification for the urinoculture screening. In International Conference on Intelligent Decision Technologies, pages 31–42, Springer, 2017. (BibTex)

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

Published in International Workshop on Fuzzy Logic and Applications, Springer, 2017

Recommended citation: Paolo Andreini, Simone Bonechi, Monica Bianchini, Andrea Baghini, Giovanni Bianchi, Francesco Guerri, Angelo Galano, Alessandro Mecocci, and Guendalina Vaggelli. Extraction of high level visual features for the automatic recognition of UTIs. In International Workshop on Fuzzy Logic and Applications, pages 249–259, Springer, 2016. (BibTex)

Automatic image classification for the urinoculture screening

Published in Computers in Biology and Medicine, Elsevier, 2016

Recommended citation: Paolo Andreini, Simone Bonechi, Monica Bianchini, Andrea Garzelli, and Alessandro Mecocci. Automatic image classification for the urinoculture screening. Computers in biology and medicine, 70:12–22, 2016. (BibTex)

Automatic image analysis and classification for urinary bacteria infection screening

Published in International Conference on Image Analysis and Processing, Springer, 2015

Recommended citation: Paolo Andreini, Simone Bonechi, Monica Bianchini, Alessandro Mecocci, and Vincenzo Di Massa. Automatic image analysis and classification for urinary bacteria infection screening. In International Conference on Image Analysis and Processing, pages 635–646, Springer, 2015. (BibTex)