Segui
Simone Bonechi
Titolo
Citata da
Citata da
Anno
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
872020
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
642020
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
552021
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
382021
Investigating issues and needs of dyslexic students at university: Proof of concept of an artificial intelligence and virtual reality-based supporting platform and preliminary …
A Zingoni, J Taborri, V Panetti, S Bonechi, P Aparicio-Martínez, S Pinzi, ...
Applied Sciences 11 (10), 4624, 2021
362021
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
362019
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
312018
Graph Neural Networks for the Prediction of Protein–Protein Interfaces
N Pancino, A Rossi, G Ciano, G Giacomini, S Bonechi, P Andreini, ...
282020
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
232016
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
212021
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
202019
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
172019
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
152018
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
102015
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
92022
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
82022
Confidence measures for deep learning in domain adaptation
S Bonechi, P Andreini, M Bianchini, A Pai, F Scarselli
Applied Sciences 9 (11), 2192, 2019
72019
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
72015
Isic_Wsm: Generating weak segmentation maps for the ISIC archive
S Bonechi
Neurocomputing 523, 69-80, 2023
62023
A weakly supervised approach to skin lesion segmentation
S Bonechi
ESANN 2022-Proceedings, 30th European Symposium on Artificial Neural …, 2022
52022
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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