LA TORRE, DAVIDE
LA TORRE, DAVIDE
Dipartimento di Oncologia ed Emato-Oncologia
Comparing Forward-Forward and Backpropagation in U-Net for Melanoma Image Classification
2025 M. Frasca, J. Lin, D.L. Torre
Precision in Dermatology: Combining U-Net and Quantum Neural Networks for Melanoma Diagnosis
2025 M. Frasca, I. Cutica, G. Pravettoni, D. La Torre
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
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
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
Explainable and interpretable artificial intelligence in medicine: a systematic bibliometric review
2024 M. Frasca, D. La Torre, G. Pravettoni, I. Cutica
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
Artificial intelligence applications to genomic data in cancer research: a review of recent trends and emerging areas
2024 M. Frasca, D. La Torre, M. Repetto, V. De Nicolò, G. Pravettoni, I. Cutica
Automatic Lymphocyte Detection on Breast Cancer Histological Images Using Deep Learning
2024 M. Frasca, D. La Torre, G. Pravettoni, I. Cutica
A Synthetic Dataset for Deep Learning Recognition of Pathological Iris Affected by Coloboma
2024 M. Frasca, D. La Torre
Epidemic outbreaks and the optimal lockdown area: a spatial normative approach
2024 D. La Torre, D. Liuzzi, S. Marsiglio
Balancing mitigation policies during pandemics: economic, health, and environmental implications
2024 J. de Frutos, D. La Torre, D. Liuzzi, S. Marsiglio, G. Martín-Herran
Stochastic disease spreading and containment policies under state-dependent probabilities
2024 D. La Torre, S. Marsiglio, F. Mendivil, F. Privileggi
Reinforcement learning applications in environmental sustainability: a review
2024 M. Zuccotto, A. Castellini, D. La Torre, L. Mola, A. Farinelli
A time-space integro-differential economic model of epidemic control
2024 C. Camacho, R. Desbordes, D. La Torre
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
An extended Daugman’s algorithm for iris with eye pathology recognition
2024 M. Frasca, D. La Torre
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
High-performance prediction models for prostate cancer radiomics
2023 L.J. Isaksson, M. Repetto, P.E. Summers, M. Pepa, M. Zaffaroni, M.G. Vincini, G. Corrao, G.C. Mazzola, M. Rotondi, F. Bellerba, S. Raimondi, Z. Haron, S. Alessi, P. Pricolo, F.A. Mistretta, S. Luzzago, F. Cattani, G. Musi, O. De Cobelli, M. Cremonesi, R. Orecchia, D. La Torre, G. Marvaso, G. Petralia, B.A. Jereczek-Fossa
Modelling ripple effect propagation and global supply chain workforce productivity impacts in pandemic disruptions
2023 X. Brusset, M. Davari, A. Kinra, D. LA TORRE