87 citations · 192 across the 13 of their papers we have counts for
5 papers · 1 filter
A Tool for the Procedural Generation of Shaders using Interactive Evolutionary Algorithms
Elio Sasso, Daniele Loiacono, Pier Luca Lanzi
We present a tool for exploring the design space of shaders using an interactive evolutionary algorithm integrated with the Unity editor, a well-known commercial tool for video gam…
ChatGPT and Other Large Language Models as Evolutionary Engines for Online Interactive Collaborative Game Design
Pier Luca Lanzi, Daniele Loiacono
Large language models (LLMs) have taken the scientific world by storm, changing the landscape of natural language processing and human-computer interaction. These powerful tools ca…
Segmentation of Planning Target Volume in CT Series for Total Marrow Irradiation Using U-Net
Ricardo Coimbra Brioso, Damiano Dei, Ciro Franzese +4
Radiotherapy (RT) is a key component in the treatment of various cancers, including Acute Lymphocytic Leukemia (ALL) and Acute Myelogenous Leukemia (AML). Precise delineation of or…
Ensemble Methods for Multi-Organ Segmentation in CT Series
Leonardo Crespi, Paolo Roncaglioni, Damiano Dei +5
In the medical images field, semantic segmentation is one of the most important, yet difficult and time-consuming tasks to be performed by physicians. Thanks to the recent advancem…
Comparing Adversarial and Supervised Learning for Organs at Risk Segmentation in CT images
Leonardo Crespi, Mattia Portanti, Daniele Loiacono
Organ at Risk (OAR) segmentation from CT scans is a key component of the radiotherapy treatment workflow. In recent years, deep learning techniques have shown remarkable potential…