| Image generation by GAN and style transfer for agar plate image segmentation P Andreini, S Bonechi, M Bianchini, A Mecocci, F Scarselli Computer methods and programs in biomedicine 184, 105268, 2020 | 87 | 2020 |
| Weak supervision for generating pixel–level annotations in scene text segmentation S Bonechi, M Bianchini, F Scarselli, P Andreini Pattern Recognition Letters 138, 1-7, 2020 | 64 | 2020 |
| A two-stage GAN for high-resolution retinal image generation and segmentation P Andreini, G Ciano, S Bonechi, C Graziani, V Lachi, A Mecocci, A Sodi, ... Electronics 11 (1), 60, 2021 | 55 | 2021 |
| A new deep learning approach integrated with clinical data for the dermoscopic differentiation of early melanomas from atypical nevi L Tognetti, S Bonechi, P Andreini, M Bianchini, F Scarselli, G Cevenini, ... Journal of Dermatological Science 101 (2), 115-122, 2021 | 38 | 2021 |
| COCO_TS dataset: pixel–level annotations based on weak supervision for scene text segmentation S Bonechi, P Andreini, M Bianchini, F Scarselli International Conference on Artificial Neural Networks, 238-250, 2019 | 36 | 2019 |
| A deep learning approach to bacterial colony segmentation P Andreini, S Bonechi, M Bianchini, A Mecocci, F Scarselli Artificial Neural Networks and Machine Learning–ICANN 2018: 27th …, 2018 | 31 | 2018 |
| Graph Neural Networks for the Prediction of Protein-Protein Interfaces. N Pancino, A Rossi, G Ciano, G Giacomini, S Bonechi, P Andreini, ... ESANN, 127-132, 2020 | 28 | 2020 |
| Automatic image classification for the urinoculture screening P Andreini, S Bonechi, M Bianchini, A Garzelli, A Mecocci Computers in biology and medicine 70, 12-22, 2016 | 23 | 2016 |
| Segmentation of aorta 3D CT images based on 2D convolutional neural networks S Bonechi, P Andreini, A Mecocci, N Giannelli, F Scarselli, E Neri, ... Electronics 10 (20), 2559, 2021 | 21 | 2021 |
| Analysis of brain NMR images for age estimation with deep learning A Rossi, G Vannuccini, P Andreini, S Bonechi, G Giacomini, F Scarselli, ... Procedia Computer Science 159, 981-989, 2019 | 20 | 2019 |
| Fusion of visual and anamnestic data for the classification of skin lesions with deep learning S Bonechi, M Bianchini, P Bongini, G Ciano, G Giacomini, R Rosai, ... New Trends in Image Analysis and Processing–ICIAP 2019: ICIAP International …, 2019 | 17 | 2019 |
| A multi-stage GAN for multi-organ chest X-ray image generation and segmentation G Ciano, P Andreini, T Mazzierli, M Bianchini, F Scarselli Mathematics 9 (22), 2896, 2021 | 16 | 2021 |
| Generating bounding box supervision for semantic segmentation with deep learning S Bonechi, P Andreini, M Bianchini, F Scarselli Artificial Neural Networks in Pattern Recognition: 8th IAPR TC3 Workshop …, 2018 | 15 | 2018 |
| Automatic image classification for the urinoculture screening P Andreini, S Bonechi, M Bianchini, A Mecocci, V Di Massa Intelligent Decision Technologies: proceedings of the 7th KES International …, 2015 | 10 | 2015 |
| Deep learning approaches for the segmentation of glomeruli in kidney histopathological images GM Dimitri, P Andreini, S Bonechi, M Bianchini, A Mecocci, F Scarselli, ... Mathematics 10 (11), 1934, 2022 | 9 | 2022 |
| A neural network approach for the analysis of reproducible ribo–seq profiles G Giacomini, C Graziani, V Lachi, P Bongini, N Pancino, M Bianchini, ... Algorithms 15 (8), 274, 2022 | 8 | 2022 |
| MicroRNA signature for interpretable breast cancer classification with subtype clue P Andreini, S Bonechi, M Bianchini, F Geraci Journal of Computational Mathematics and Data Science 3, 100042, 2022 | 8 | 2022 |
| Confidence measures for deep learning in domain adaptation S Bonechi, P Andreini, M Bianchini, A Pai, F Scarselli Applied Sciences 9 (11), 2192, 2019 | 7 | 2019 |
| Automatic image analysis and classification for urinary bacteria infection screening P Andreini, S Bonechi, M Bianchini, A Mecocci, V Di Massa Image Analysis and Processing—ICIAP 2015: 18th International Conference …, 2015 | 7 | 2015 |
| Deep Learning Techniques for Dragonfly Action Recognition. M Monaci, N Pancino, P Andreini, S Bonechi, P Bongini, A Rossi, G Ciano, ... ICPRAM, 562-569, 2020 | 5 | 2020 |
