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Emanuele Balloni

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IEEE Transactions on Visualization and Computer Graphics|May 22, 2026
Orchestrating Generative AI Paradigms with Human-In-The-Loop for 3D GenerationEmanuele Balloni, Lorenzo Stacchio, Marina Paolanti, et al.
IEEE Transactions on Visualization and Computer Graphics|March 21, 2025
MineVRA: Exploring the Role of Generative AI-Driven Content Development in XR Environments through a Context-Aware ApproachLorenzo Stacchio, Emanuele Balloni, Emanuele Frontoni, et al.
World Journal of Urology|November 1, 2024
The infection post flexible UreteroreNoscopy (I-FUN) predictive model based on machine learning: a new clinical tool to assess the risk of sepsis post retrograde intrarenal surgery for kidney stone diseaseDaniele Castellani, Virgilio De Stefano, Carlo Brocca, et al.
World Journal of Urology|November 28, 2024
Correction: The infection post flexible UreteroreNoscopy (I-FUN) predictive model based on machine learning: a new clinical tool to assess the risk of sepsis post retrograde intrarenal surgery for kidney stone diseaseDaniele Castellani, Virgilio De Stefano, Carlo Brocca, et al.
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Showing results (1-10 of 4) with videos related to

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Pageof 1
IEEE Transactions on Visualization and Computer Graphics|May 22, 2026
Orchestrating Generative AI Paradigms with Human-In-The-Loop for 3D GenerationEmanuele Balloni, Lorenzo Stacchio, Marina Paolanti, et al.
IEEE Transactions on Visualization and Computer Graphics|March 21, 2025
MineVRA: Exploring the Role of Generative AI-Driven Content Development in XR Environments through a Context-Aware ApproachLorenzo Stacchio, Emanuele Balloni, Emanuele Frontoni, et al.
World Journal of Urology|November 1, 2024
The infection post flexible UreteroreNoscopy (I-FUN) predictive model based on machine learning: a new clinical tool to assess the risk of sepsis post retrograde intrarenal surgery for kidney stone diseaseDaniele Castellani, Virgilio De Stefano, Carlo Brocca, et al.
World Journal of Urology|November 28, 2024
Correction: The infection post flexible UreteroreNoscopy (I-FUN) predictive model based on machine learning: a new clinical tool to assess the risk of sepsis post retrograde intrarenal surgery for kidney stone diseaseDaniele Castellani, Virgilio De Stefano, Carlo Brocca, et al.
Pageof 1