GIACOMELLO, EDOARDO

GIACOMELLO, EDOARDO  

DIPARTIMENTO DI ELETTRONICA, INFORMAZIONE E BIOINGEGNERIA  

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Titolo Data di pubblicazione Autori File
An analysis of DOOM level generation using Generative Adversarial Networks 1-gen-2023 Giacomello, EdoardoLanzi, Pier LucaLoiacono, Daniele
Artificial Intelligence in Diagnostic Imaging 1-gen-2023 Loiacono, DanieleGiacomello, EdoardoLanzi, Pierluca +
Brain Magnetic Resonance Imaging Generation using Generative Adversarial Networks 1-gen-2020 Alogna E.Giacomello E.Loiacono D.
Brain MRI Tumor Segmentation with Adversarial Networks 1-gen-2020 Giacomello, EdoardoLoiacono, DanieleMainardi, Luca
Distributed learning: a reliable privacy-preserving strategy to change multicenter collaborations using AI 1-gen-2021 Loiacono D.Giacomello E.Gozzi N.Amigoni F.Mainardi L.Lanzi P +
DOOM Level Generation using Generative Adversarial Networks 1-gen-2018 GIACOMELLO, EDOARDOLanzi, PLLoiacono, D
Image Embedding and Model Ensembling for Automated Chest X-Ray Interpretation 1-gen-2021 Giacomello E.Lanzi P.Loiacono D. +
Image Embeddings Extracted from CNNs Outperform Other Transfer Learning Approaches in Classification of Chest Radiographs 1-gen-2022 Gozzi, NoemiGiacomello, EdoardoLanzi, PierlucaLoiacono, Daniele +
PO-1641 Virtual brain MRI missing sequences creation using machine learning generative adversarial networks 1-gen-2022 Giacomello, E.Lambri, N.Loiacono, D. +
Searching the latent space of a generative adversarial network to generate DOOM levels 1-gen-2019 Giacomello E.Lanzi P. L.Loiacono D.