Sfoglia per Autore
Improving the Annotation for Spatial Proteomics: A Computational Approach to Enhance Molecular Characterization of Thyroid Nodules
2026 Coelho, V; Monza, N; Porto, N; Capitoli, G; L'Imperio, V; Papetti, D; Denti, V
HyCAPS: A Settings-Free Optimization Heuristics Integrating Evolutionary Computation and Swarm Intelligence
2026 Papetti, D; Nobile, M; Grazioso, M; Cazzaniga, P; Vanneschi, L; Besozzi, D
Local manipulations of the fitness landscape mitigate stall in particle swarm optimization
2026 Marino, M; Papetti, D; Besozzi, D; Nobile, M
We Are Sending You Back... to the Optimum! Fuzzy Time Travel Particle Swarm Optimization
2025 Papetti, D; Tangherloni, A; Coelho, V; Besozzi, D; Cazzaniga, P; Nobile, M
Enhancing proteomics characterization of thyroid nodules: a pixel-classifier for mass spectrometry imaging analyses
2025 Monza, N; Porto, N; Coelho, V; L’Imperio, V; Papetti, D; Di Nicoli, F; Fumagalli, C; Capitoli, G; Denti, V
Our Fruitful Relationship with Sugeno Inference, from FUMOSO to pyFUME
2025 Bacciu, L; Cazzaniga, P; Gallese, C; Fuchs, C; Kaymak, U; Papetti, D; Nobile, M
MiThyCA: A Computational Pathology Pipeline for the Identification of Microscopic Foci of Papillary Thyroid Carcinoma-Like Nuclear Features with AI in Whole-Slide Histological Images
2025 Bacciu, L; Urso, M; Coelho, V; Cazzaniga, G; Pincelli, A; Garancini, M; Papetti, D; Besozzi, D; Capitoli, G; Galimberti, S; Vargiolu, A; Fusco, N; Gianatti, A; Pagni, F; L'Imperio, V; Nobile, M
Meta-problems in global optimization: new perspectives from Computational Intelligence
2024 Papetti, D
Machine learning streamlines the morphometric characterization and multi-class segmentation of nuclei in different follicular thyroid lesions: everything in a NUTSHELL
2024 L'Imperio, V; Coelho, V; Cazzaniga, G; Papetti, D; Del Carro, F; Capitoli, G; Marino, M; Ceku, J; Fusco, N; Ivanova, M; Gianatti, A; Nobile, M; Galimberti, S; Besozzi, D; Pagni, F
Method for Determining an Optimal Inversion Time for an "Inversion Recovery" Radio Frequency Pulse Sequence of a Magnetic Resonance for Acquiring Late Images After Administering a Paramagnetic Contrast Medium
2023 Papetti, D; Torlasco, C; Nobile, M; Besozzi, D
Use of artificial intelligence to automatically predict the optimal patient-specific inversion time for late gadolinium enhancement imaging. Tool development and clinical validation
2023 Torlasco, C; Papetti, D; Castelletti, S; Sabatini, M; Muscogiuri, G; Badano, L; Parati, G; Kellman, P; Besozzi, D; Nobile, M
Simplifying Fitness Landscapes Using Dilation Functions Evolved With Genetic Programming
2023 Papetti, D; Tangherloni, A; Farinati, D; Cazzaniga, P; Vanneschi, L
Large T cell clones expressing immune checkpoints increase during multiple myeloma evolution and predict treatment resistance
2023 Botta, C; Perez, C; Larrayoz, M; Puig, N; Cedena, M; Termini, R; Goicoechea, I; Rodriguez, S; Zabaleta, A; Lopez, A; Sarvide, S; Blanco, L; Papetti, D; Nobile, M; Besozzi, D; Gentile, M; Correale, P; Siragusa, S; Oriol, A; González-Garcia, M; Sureda, A; De Arriba, F; Rios Tamayo, R; Moraleda, J; Gironella, M; Hernandez, M; Bargay, J; Palomera, L; Pérez-Montaña, A; Goldschmidt, H; Avet-Loiseau, H; Roccaro, A; Orfao, A; Martinez-Lopez, J; Rosiñol, L; Lahuerta, J; Blade, J; Mateos, M; San-Miguel, J; Martinez Climent, J; Paiva, B
An accurate and time-efficient deep learning-based system for automated segmentation and reporting of cardiac magnetic resonance-detected ischemic scar
2023 Papetti, D; Van Abeelen, K; Davies, R; Menè, R; Heilbron, F; Perelli, F; Artico, J; Seraphim, A; Moon, J; Parati, G; Xue, H; Kellman, P; Badano, L; Besozzi, D; Nobile, M; Torlasco, C
Barcode demultiplexing of nanopore sequencing raw signals by unsupervised machine learning
2023 Papetti, D; Spolaor, S; Nazari, I; Tirelli, A; Leonardi, T; Caprioli, C; Besozzi, D; Vlachou, T; Pelicci, P; Cazzaniga, P; Nobile, M
The Domination Game: Dilating Bubbles to Fill Up Pareto Fronts
2023 Coelho, V; Papetti, D; Tangherloni, A; Cazzaniga, P; Besozzi, D; Nobile, M
Estimation of Fuzzy Models from Mixed Data Sets with pyFUME
2023 Papetti, D; Fuchs, C; Coelho, V; Kaymak, U; Nobile, M
Evolving Dilation Functions for Parameter Estimation
2023 Papetti, D; Coelho, V
Metodo per determinare un tempo di inversione ottimale per una sequenza “Inversion Recovery” di risonanza magnetica utilizzabile per l’acquisizione di immagini tardive dopo somministrazione di un mezzo di contrasto paramagnetico
2022 Besozzi, D; Papetti, D; Torlasco, C; Nobile, M
Techniques of Artificial Intelligence for the Determination of the Optimal Inversion Time: The Thaiti Project
2022 Torlasco, C; Papetti, D; Sabatini, M; Muscogiuri, G; Castelletti, S; Xue, H; Kellman, P; Parati, G; Badano, L; Nobile, M; Besozzi, D
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