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2020 – today
- 2025
[j7]Alessia Lucia Prete, Paolo Andreini, Simone Bonechi, Monica Bianchini:
A smart virtual keyboard to improve communication of locked-in patients. Comput. Stand. Interfaces 93: 103963 (2025)- [j6]Simone Bonechi
, Paolo Andreini, Barbara Toniella Corradini, Franco Scarselli:
An analysis of pre-trained stable diffusion models through a semantic lens. Neurocomputing 614: 128846 (2025) - 2024
- [j5]Paolo Andreini, Simone Bonechi, Giovanna Maria Dimitri:
Enhancing glomeruli segmentation through cross-species pre-training. Neurocomputing 563: 126947 (2024) - [c18]Simone Bonechi, Paolo Andreini, Barbara Toniella Corradini, Franco Scarselli:
Diff-Props: is Semantics Preserved within a Diffusion Model? KES 2024: 5244-5253 - 2023
- [c17]Barbara Toniella Corradini, Paolo Andreini, Markus Hagenbuchner, Franco Scarselli, Ah Chung Tsoi:
Exploring the Role of Recursive Convolutional Layer in Generative Adversarial Networks. ICANN (5) 2023: 53-64 - [c16]Alessia Lucia Prete, David Landi, Paolo Andreini, Monica Bianchini:
Deep Learning Techniques for Text Generation to Support Augmentative and Alternative Communication. MetroXRAINE 2023: 206-211 - [c15]Paolo Andreini, Simone Bonechi, Alessandro Mecocci, Veronica Lucia Rossi, Giuseppe Ferorelli, Giorgio Chini, Antonio Sanesi:
Enhancing Fluorescence Image Analysis through Deep Learning. MetroXRAINE 2023: 212-217 - 2022
- [j4]Giorgia Giacomini, Caterina Graziani, Veronica Lachi, Pietro Bongini, Niccolò Pancino, Monica Bianchini, Davide Chiarugi, Angelo Valleriani, Paolo Andreini:
A Neural Network Approach for the Analysis of Reproducible Ribo-Seq Profiles. Algorithms 15(8): 274 (2022) - [c14]Paolo Andreini, Giovanna Maria Dimitri:
Deep Semantic Segmentation Models in Computer Vision. ESANN 2022 - [c13]Paolo Andreini, Niccolò Pancino, Filippo Costanti, Gabriele Eusepi, Barbara Toniella Corradini:
A Deep Learning approach for oocytes segmentation and analysis. ESANN 2022 - 2021
- [c12]Giorgio Ciano, Giovanna Maria Dimitri, Alberto Rossi, Giorgia Giacomini, Simone Bonechi, Paolo Andreini, Elisa Messori:
SlAide2Voice: a new educational tool for students with visual disabilities. teleXbe 2021 - [i5]Giorgio Ciano, Paolo Andreini, Tommaso Mazzierli, Monica Bianchini, Franco Scarselli:
A multi-stage GAN for multi-organ chest X-ray image generation and segmentation. CoRR abs/2106.05132 (2021) - 2020
- [j3]Paolo Andreini, Simone Bonechi, Monica Bianchini, Alessandro Mecocci, Franco Scarselli:
Image generation by GAN and style transfer for agar plate image segmentation. Comput. Methods Programs Biomed. 184: 105268 (2020) - [j2]Simone Bonechi, Monica Bianchini, Franco Scarselli, Paolo Andreini:
Weak supervision for generating pixel-level annotations in scene text segmentation. Pattern Recognit. Lett. 138: 1-7 (2020) - [c11]Niccolò Pancino, Alberto Rossi, Giorgio Ciano, Giorgia Giacomini, Simone Bonechi, Paolo Andreini, Franco Scarselli, Monica Bianchini, Pietro Bongini:
Graph Neural Networks for the Prediction of Protein-Protein Interfaces. ESANN 2020: 127-132 - [c10]Martina Monaci, Niccolò Pancino, Paolo Andreini, Simone Bonechi, Pietro Bongini, Alberto Rossi, Giorgio Ciano, Giorgia Giacomini, Franco Scarselli, Monica Bianchini:
Deep Learning Techniques for Dragonfly Action Recognition. ICPRAM 2020: 562-569 - [i4]Paolo Andreini, Cosimo Izzo, Giovanni Ricco:
Deep Dynamic Factor Models. CoRR abs/2007.11887 (2020)
2010 – 2019
- 2019
- [c9]Simone Bonechi, Paolo Andreini, Monica Bianchini, Franco Scarselli:
COCO_TS Dataset: Pixel-Level Annotations Based on Weak Supervision for Scene Text Segmentation. ICANN (3) 2019: 238-250 - [c8]Simone Bonechi, Monica Bianchini, Pietro Bongini, Giorgio Ciano, Giorgia Giacomini, Riccardo Rosai, Linda Tognetti, Alberto Rossi, Paolo Andreini:
Fusion of Visual and Anamnestic Data for the Classification of Skin Lesions with Deep Learning. ICIAP Workshops 2019: 211-219 - [c7]Alberto Rossi, Gioele Vannuccini, Paolo Andreini, Simone Bonechi, Giorgia Giacomini, Franco Scarselli, Monica Bianchini:
Analysis of brain NMR images for age estimation with deep learning. KES 2019: 981-989 - [i3]Simone Bonechi, Paolo Andreini, Monica Bianchini, Franco Scarselli:
COCO_TS Dataset: Pixel-level Annotations Based on Weak Supervision for Scene Text Segmentation. CoRR abs/1904.00818 (2019) - [i2]Paolo Andreini, Simone Bonechi, Monica Bianchini, Alessandro Mecocci, Franco Scarselli, Andrea Sodi:
A Two Stage GAN for High Resolution Retinal Image Generation and Segmentation. CoRR abs/1907.12296 (2019) - [i1]Simone Bonechi, Paolo Andreini, Monica Bianchini, Franco Scarselli:
Weak Supervision for Generating Pixel-Level Annotations in Scene Text Segmentation. CoRR abs/1911.09026 (2019) - 2018
- [c6]Simone Bonechi, Paolo Andreini, Monica Bianchini, Franco Scarselli:
Generating Bounding Box Supervision for Semantic Segmentation with Deep Learning. ANNPR 2018: 190-200 - [c5]Paolo Andreini, Simone Bonechi, Monica Bianchini, Alessandro Mecocci, Franco Scarselli:
A Deep Learning Approach to Bacterial Colony Segmentation. ICANN (3) 2018: 522-533 - 2016
- [j1]Paolo Andreini, Simone Bonechi, Monica Bianchini, Andrea Garzelli, Alessandro Mecocci:
Automatic image classification for the urinoculture screening. Comput. Biol. Medicine 70: 12-22 (2016) - [c4]Paolo Andreini, Simone Bonechi, Monica Bianchini, Andrea Garzelli, Alessandro Mecocci:
ABLE: An Automated Bacterial Load Estimator for the Urinoculture Screening. ICPRAM 2016: 573-580 - [c3]Paolo Andreini, Simone Bonechi, Monica Bianchini, Andrea Baghini, Giovanni Bianchi, Francesco Guerri, Angelo Galano, Alessandro Mecocci, Guendalina Vaggelli:
Extraction of High Level Visual Features for the Automatic Recognition of UTIs. WILF 2016: 249-259 - 2015
- [c2]Paolo Andreini, Simone Bonechi, Monica Bianchini, Alessandro Mecocci, Vincenzo Di Massa:
Automatic Image Analysis and Classification for Urinary Bacteria Infection Screening. ICIAP (1) 2015: 635-646 - [c1]Paolo Andreini, Simone Bonechi, Monica Bianchini, Alessandro Mecocci, Vincenzo Di Massa:
Automatic Image Classification for the Urinoculture Screening. KES-IDT 2015: 31-42
Coauthor Index
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last updated on 2025-02-19 01:43 CET by the dblp team
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