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Ettore Lanzarone

Showing results (11-20 of 48) with videos related to

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Medical Physics|May 29, 2024
Uncertainty quantification in multi-class segmentation: Comparison between Bayesian and non-Bayesian approaches in a clinical perspectiveElisa Scalco, Silvia Pozzi, Giovanna Rizzo, et al.
Statistical Methods in Medical Research|January 13, 2018
A Bayesian approach for the identification of patient-specific parameters in a dialysis kinetic modelCamilla Bianchi, Ettore Lanzarone, Giustina Casagrande, et al.
IEEE Transactions on Bio-Medical Engineering|February 25, 2009
Integrated model of endothelial NO regulation and systemic circulation for the comparison between pulsatile and continuous perfusionEttore Lanzarone, Giustina Casagrande, Roberto Fumero, et al.
Studies in Health Technology and Informatics|May 12, 2023
Improving Blood Donor Care in a Collection Center Through Advanced Data ExploitationAlice V Bottinelli, Silvia Pozzi, Alessia Zanni, et al.
Nonlinear Biomedical Physics|July 28, 2009
Simulation study of autoregulation responses of peripheral circulation to systemic pulsatilityFederico Aletti, Ettore Lanzarone, Maria Laura Costantino, et al.
Health Care Management Science|July 3, 2020
A stochastic risk-averse framework for blood donation appointment scheduling under uncertain donor arrivalsSemih Yalçındağ, Seda Baş Güre, Giuliana Carello, et al.
Computers in Biology and Medicine|June 25, 2022
Automatic cyst and kidney segmentation in autosomal dominant polycystic kidney disease: Comparison of U-Net based methodsMaria Rombolotti, Fabio Sangalli, Domenico Cerullo, et al.
IEEE Transactions on Bio-Medical Engineering|January 6, 2017
A Regression Method Based on Noninvasive Clinical Data to Predict the Mechanical Behavior of Ascending Aorta Aneurysmal TissueFerdinando Auricchio, Anna Ferrara, Ettore Lanzarone, et al.
The Journal of Vascular Access|February 11, 2023
Surgical planning of arteriovenous fistulae in routine clinical practice: A machine learning predictive toolMartina Doneda, Sofia Poloni, Michela Bozzetto, et al.
NMR in Biomedicine|December 30, 2019
A novel bayesian approach with conditional autoregressive specification for intravoxel incoherent motion diffusion-weighted MRIEttore Lanzarone, Alfonso Mastropietro, Elisa Scalco, et al.
Pageof 5

Showing results (11-20 of 48) with videos related to

Sort By:
Pageof 5
Medical Physics|May 29, 2024
Uncertainty quantification in multi-class segmentation: Comparison between Bayesian and non-Bayesian approaches in a clinical perspectiveElisa Scalco, Silvia Pozzi, Giovanna Rizzo, et al.
Statistical Methods in Medical Research|January 13, 2018
A Bayesian approach for the identification of patient-specific parameters in a dialysis kinetic modelCamilla Bianchi, Ettore Lanzarone, Giustina Casagrande, et al.
IEEE Transactions on Bio-Medical Engineering|February 25, 2009
Integrated model of endothelial NO regulation and systemic circulation for the comparison between pulsatile and continuous perfusionEttore Lanzarone, Giustina Casagrande, Roberto Fumero, et al.
Studies in Health Technology and Informatics|May 12, 2023
Improving Blood Donor Care in a Collection Center Through Advanced Data ExploitationAlice V Bottinelli, Silvia Pozzi, Alessia Zanni, et al.
Nonlinear Biomedical Physics|July 28, 2009
Simulation study of autoregulation responses of peripheral circulation to systemic pulsatilityFederico Aletti, Ettore Lanzarone, Maria Laura Costantino, et al.
Health Care Management Science|July 3, 2020
A stochastic risk-averse framework for blood donation appointment scheduling under uncertain donor arrivalsSemih Yalçındağ, Seda Baş Güre, Giuliana Carello, et al.
Computers in Biology and Medicine|June 25, 2022
Automatic cyst and kidney segmentation in autosomal dominant polycystic kidney disease: Comparison of U-Net based methodsMaria Rombolotti, Fabio Sangalli, Domenico Cerullo, et al.
IEEE Transactions on Bio-Medical Engineering|January 6, 2017
A Regression Method Based on Noninvasive Clinical Data to Predict the Mechanical Behavior of Ascending Aorta Aneurysmal TissueFerdinando Auricchio, Anna Ferrara, Ettore Lanzarone, et al.
The Journal of Vascular Access|February 11, 2023
Surgical planning of arteriovenous fistulae in routine clinical practice: A machine learning predictive toolMartina Doneda, Sofia Poloni, Michela Bozzetto, et al.
NMR in Biomedicine|December 30, 2019
A novel bayesian approach with conditional autoregressive specification for intravoxel incoherent motion diffusion-weighted MRIEttore Lanzarone, Alfonso Mastropietro, Elisa Scalco, et al.
Pageof 5