BESOZZI, DANIELA
BESOZZI, DANIELA
DIPARTIMENTO DI INFORMATICA, SISTEMISTICA E COMUNICAZIONE
Distinct neoadjuvant chemotherapy regimens differentially modulate the immune landscape in triple-negative breast cancer, with potential impact on combination with immunotherapy
2025 Barreca, M; Mariani, M; Dugo, M; Galbardi, B; Shi, T; Besozzi, D; Viale, G; Gianni, L; Bianchini, G; Callari, 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
Picture this: Mass Spectrometry Imaging to unveil the multiomic layers of the tumor immune environment
2025 Bindi, G; Fumagalli, C; Porto, N; Monza, N; Santos De Oliveira, G; Denti, V; Pagani, L; Chinello, C; Bossi, E; Serrao, S; Coelho, V; Van Der Ploeg, M; Palubeckaite, I; Wuhrer, M; Cazzaniga, G; Besozzi, D; L’Imperio, V; Pagni, F; Paglia, G; Magni, F; Smith, A
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
Well Begun Is Half Done: The Impact of Pre-Processing in MALDI Mass Spectrometry Imaging Analysis Applied to a Case Study of Thyroid Nodules
2025 Capitoli, G; Van Abeelen, K; Piga, I; L'Imperio, V; Nobile, M; Besozzi, D; Galimberti, S
Advantages of GPU-accelerated approach for solving the Parker equation in the heliosphere
2024 Della Torre, S; Cavallotto, G; Besozzi, D; Gervasi, M; La Vacca, G; Nobile, M; Rancoita, P
Development and validation of a gene expression-based Breast Cancer Purity Score
2024 Barreca, M; Dugo, M; Galbardi, B; Győrffy, B; Frassoldati, A; Zambetti, M; Mansutti, M; Zamagni, C; Del Mastro, L; Colleoni, M; Bisagni, G; Gianni, L; Antón-Torres, A; García Sáenz, J; Ciruelos Gil, E; Sevillano, E; Falo, C; Bermejo, B; Volkov, N; Gennadievich, A; Frolova, M; Semiglazov, V; Malter, W; Schumacher, C; Schneeweiss, A; Lück, H; Tesch, H; Behringer, D; Graffunder, G; Sagasser, J; Thill, M; Egle, D; Greil, R; O'Connor, M; Kennedy, J; Morris, P; O'Reilly, S; Kelly, C; Tseng, L; Liu, L; Hou, M; Chen, S; Huang, C; Russo, S; Bianchini, G; Zambelli, S; Gambaro, A; Mariani, G; Bengala, C; Montemurro, F; Valagussa, P; Besozzi, D; Viale, G; Bianchini, G; Callari, M
Fuzzy Logic for Knowledge-Driven and Data-Driven Modeling in Biomedical Sciences
2024 Cazzaniga, P; Spolaor, S; Fuchs, C; Nobile, M; Besozzi, 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
Reinforcement Learning and Fuzzy Logic Modelling for Personalized Dynamic Treatment
2024 Locatelli, M; Cerioli, R; Besozzi, D; Hommersom, A; Stella, F
Tumour ecosystem and molecular dynamics in clinical triple-negative breast cancer depend on the chemotherapy regimen
2024 Barreca, M; Mariani, M; Dugo, M; Galbardi, B; Valagussa, P; Besozzi, D; Viale, G; Gianni, L; Bianchini, G; Callari, M
Tumour ecosystem and molecular dynamics in clinical triple-negative breast cancer depend on the chemotherapy regimen
2024 Barreca, M; Mariani, M; Dugo, M; Galbardi, B; Valagussa, P; Besozzi, D; Viale, G; Gianni, L; Bianchini, G; Callari, M
Tumour ecosystem and molecular dynamics in clinical triple-negative breast cancer depend on the chemotherapy regimen
2024 Barreca, M; Mariani, M; Dugo, M; Galbardi, B; Valagussa, P; Besozzi, D; Viale, G; Gianni, L; Bianchini, G; Callari, M
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
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
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
The Domination Game: Dilating Bubbles to Fill Up Pareto Fronts
2023 Coelho, V; Papetti, D; Tangherloni, A; Cazzaniga, P; Besozzi, D; Nobile, M
Unsupervised neural networks as a support tool for pathology diagnosis in MALDI-MSI experiments: A case study on thyroid biopsies
2023 Nobile, M; Capitoli, G; Sowirono, V; Clerici, F; Piga, I; Van Abeelen, K; Magni, F; Pagni, F; Galimberti, S; Cazzaniga, P; 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