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Titolo Data di pubblicazione Autore(i) File Abstract
A Deep Learning Approach for Nystagmus Recognition in RGB Videos 1-gen-2026 Nunziati, Giacomo; Porri, Andrea; Andreini, Paolo; Bonechi, Simone; Bianchini, Monica; Pecci, Rudi; Ronchetti, Mattia; Scarselli, Franco; Vanni, Simone -
Efficient Single-Lead ECG Analysis System with Multi-Lead Reconstruction 1-gen-2026 Giuseppe Ceroni, Elia; Andreini, Paolo; Bianchini, Monica -
Leveraging Synthetic Data for Zero–Shot and Few–Shot Circle Detection in Real–World Domains 1-gen-2026 Andreini, Paolo; Tanfoni, Marco; Bonechi, Simone; Bianchini, Monica -
Towards a comprehensive characterization of arteries and veins in retinal imaging 1-gen-2025 Andreini, Paolo; Bonechi, Simone -
An analysis of pre-trained stable diffusion models through a semantic lens 1-gen-2025 Bonechi, Simone; Andreini, Paolo; Corradini, Barbara Toniella; Scarselli, Franco -
A smart virtual keyboard to improve communication of locked-in patients 1-gen-2025 Prete, Alessia Lucia; Andreini, Paolo; Bonechi, Simone; Bianchini, Monica -
Point-Wise Ribosome Translation Speed Prediction with Recurrent Neural Networks 1-gen-2024 Bongini, Pietro; Pancino, Niccolo; Lachi, Veronica; Graziani, Caterina; Giacomini, Giorgia; Andreini, Paolo; Bianchini, Monica -
Diff-Props: is Semantics Preserved within a Diffusion Model? 1-gen-2024 Bonechi, Simone; Andreini, Paolo; Corradini, Barbara Toniella; Scarselli, Franco -
Enhancing glomeruli segmentation through cross-species pre-training 1-gen-2024 Andreini, Paolo; Bonechi, Simone; Dimitri, Giovanna Maria -
Deep Learning Techniques for Text Generation to Support Augmentative and Alternative Communication 1-gen-2023 Prete, Alessia Lucia; Landi, David; Andreini, Paolo; Bianchini, Monica -
Multi-stage Synthetic Image Generation for the Semantic Segmentation of Medical Images 1-gen-2023 Andreini, Paolo; Bonechi, Simone; Ciano, Giorgio; Graziani, Caterina; Lachi, Veronica; Nikoloulopoulou, Natalia; Bianchini, Monica; Scarselli, Franco -
Exploring the Role of Recursive Convolutional Layer in Generative Adversarial Networks 1-gen-2023 Corradini, Barbara Toniella; Andreini, Paolo; Hagenbuchner, Markus; Scarselli, Franco; Tsoi, Ah Chung -
From Pixels to Diagnosis: AI-Driven Skin Lesion Recognition 1-gen-2023 Bianchini, M.; Andreini, P.; Bonechi, S. -
Enhancing Fluorescence Image Analysis through Deep Learning 1-gen-2023 Andreini, Paolo; Bonechi, Simone; Mecocci, Alessandro; Rossi, Veronica Lucia; Ferorelli, Giuseppe; Chini, Giorgio; Sanesi, Antonio -
Deep Semantic Segmentation Models in Computer Vision 1-gen-2022 Andreini, Paolo; Dimitri, Giovanna Maria -
A Neural Network Approach for the Analysis of Reproducible Ribo–Seq Profiles 1-gen-2022 Giacomini, Giorgia; Graziani, Caterina; Lachi, Veronica; Bongini, Pietro; Pancino, Niccolò; Bianchini, Monica; Chiarugi, Davide; Valleriani, Angelo; Andreini, Paolo -
Segmentation of Petri plate images for automatic reporting of urine culture tests 1-gen-2022 Bonechi, Simone; Bianchini, Monica; Mecocci, Alessandro; Scarselli, Franco; Andreini, Paolo -
MicroRNA signature for interpretable breast cancer classification with subtype clue 1-gen-2022 Andreini, P.; Bonechi, S.; Bianchini, M.; Geraci, F. -
A Two-Stage GAN for High-Resolution Retinal Image Generation and Segmentation 1-gen-2022 Andreini, Paolo; Ciano, Giorgio; Bonechi, Simone; Graziani, Caterina; Lachi, Veronica; Mecocci, Alessandro; Sodi, Andrea; Scarselli, Franco; Bianchini, Monica -
Deep Learning Approaches for the Segmentation of Glomeruli in Kidney Histopathological Images 1-gen-2022 Dimitri, G. M.; Andreini, P.; Bonechi, S.; Bianchini, M.; Mecocci, A.; Scarselli, F.; Zacchi, A.; Garosi, G.; Marcuzzo, T.; Tripodi, S. A. -
Mostrati risultati da 1 a 20 di 40
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