LA TORRE, DAVIDE
LA TORRE, DAVIDE
Dipartimento di Oncologia ed Emato-Oncologia
Stable or not? unraveling the reliability of radiomic features in 4d-computed tomography in early-stage non-small cell lung cancer
2026 S. Volpe, A. Gaeta, M.G. Vincini, M. Zaffaroni, F. Mastroleo, S. Raimondi, M. Pepa, L.J. Isaksson, M. Cremonesi, D. La Torre, M. Guckenberger, F. Bellerba, R. Orecchia, S. Gandini, B.A. Jereczek-Fossa
Predicting Drug Dosage with Machine Learning: An Empirical Study Using Ceftaroline
2025 M. Frasca, G. Gazzaniga, A. Graziosi, V. De Nicol´o, C. De Giacomo, S. Martinelli, M. Senatore, A. Romandini, C. Moretti, G.A.C. Pattarino, A. Proto, R. Danesi, F. Scaglione, G. Vago, D. La Torre, A. Pani
Sparse Neural Networks via Bi-level ℓ₀ Optimization for Prostate Cancer Prognosis
2025 M. Frasca, J. Lin, D. La Torre
Precision in Dermatology: Combining U-Net and Quantum Neural Networks for Melanoma Diagnosis
2025 M. Frasca, I. Cutica, G. Pravettoni, D. La Torre
Production optimization in the time of pandemic: an SIS-based optimal control model with protection effort and cost minimization
2025 X. Brusset, A. Jebali, D. La Torre, D. Liuzzi
Synthetic data generation in genomic cancer medicine: a review of global research trends in the last ten years
2025 V. De Nicoló, M. Frasca, A. Graziosi, G. Gazzaniga, D.L. Torre, A. Pani
Comparing Forward-Forward and Backpropagation in U-Net for Melanoma Image Classification
2025 M. Frasca, J. Lin, D.L. Torre
Optimizing melanoma diagnosis: A hybrid deep learning and quantum computing approach for enhanced lesion classification
2025 M. Frasca, I. Cutica, G. Pravettoni, D. La Torre
Self-supervised learning model leveraging structural similarity index for glaucoma recognition
2025 M. Frasca, J. Lin, D. La Torre
Artificial Intelligence Techniques for Dental Artifact Suppression in Medical Imaging
2025 M. Frasca, J. Lin, D. La Torre
Reinforcement learning applications in environmental sustainability: a review
2024 M. Zuccotto, A. Castellini, D. La Torre, L. Mola, A. Farinelli
Explainable and interpretable artificial intelligence in medicine: a systematic bibliometric review
2024 M. Frasca, D. La Torre, G. Pravettoni, I. Cutica
Stochastic disease spreading and containment policies under state-dependent probabilities
2024 D. La Torre, S. Marsiglio, F. Mendivil, F. Privileggi
The impact of the psychological effect of infectivity on Nash-balanced control strategies for epidemic networks
2024 J.B. Broekaert, D. La Torre, F. Hafiz
Combining convolution neural networks with long‐short term memory layers to predict Parkinson's disease progression
2024 M. Frasca, D.L. Torre, G. Pravettoni, I. Cutica
Can we predict pathology without surgery? Weighing the added value of multiparametric MRI and whole prostate radiomics in integrative machine learning models
2024 G. Marvaso, L.J. Isaksson, M. Zaffaroni, M.G. Vincini, P.E. Summers, M. Pepa, G. Corrao, G.C. Mazzola, M. Rotondi, F. Mastroleo, S. Raimondi, S. Alessi, P. Pricolo, S. Luzzago, F.A. Mistretta, M. Ferro, F. Cattani, F. Ceci, G. Musi, O. De Cobelli, M. Cremonesi, S. Gandini, D. La Torre, R. Orecchia, G. Petralia, B.A. Jereczek-Fossa
A time-space integro-differential economic model of epidemic control
2024 C. Camacho, R. Desbordes, D. La Torre
Artificial Intelligence for Medicine : An Applied Reference for Methods and Applications
2024 S. Ben- David, G. Curigliano, D. Koff, B.A. Jereczek, D. LA TORRE, G. Pravettoni
Epidemic outbreaks and the optimal lockdown area: a spatial normative approach
2024 D. La Torre, D. Liuzzi, S. Marsiglio
An extended Daugman’s algorithm for iris with eye pathology recognition
2024 M. Frasca, D. La Torre