DOOM Level Generation Using Generative Adversarial Networks. - Edoardo Giacomello; Pier Luca Lanzi; Daniele Loiacono (GEM, 2018)

Searching the Latent Space of a Generative Adversarial Network to Generate DOOM Levels. - Edoardo Giacomello; Pier Luca Lanzi; Daniele Loiacono (CoG, 2019)

Transfer Brain MRI Tumor Segmentation Models Across Modalities with Adversarial Networks. - Edoardo Giacomello; Daniele Loiacono; Luca T. Mainardi (CoRR, 2019)

Brain MRI Tumor Segmentation with Adversarial Networks. - Edoardo Giacomello; Daniele Loiacono; Luca T. Mainardi (IJCNN, 2020)

Brain Magnetic Resonance Imaging Generation using Generative Adversarial Networks. - Emanuel Alogna; Edoardo Giacomello; Daniele Loiacono (SSCI, 2020)

Image Embedding and Model Ensembling for Automated Chest X-Ray Interpretation. - Edoardo Giacomello; Pier Luca Lanzi; Daniele Loiacono; Luca Nassano (IJCNN, 2021)

Distributed Learning Approaches for Automated Chest X-Ray Diagnosis. - Edoardo Giacomello; Michele Cataldo; Daniele Loiacono; Pier Luca Lanzi (CoRR, 2021)

Addressing collaborative machine learning challenges in medical imaging. - Edoardo Giacomello (2022)

An analysis of DOOM level generation using Generative Adversarial Networks. - Edoardo Giacomello; Pier Luca Lanzi; Daniele Loiacono (Entertain. Comput., 2023)