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Found 13 papers, 2 papers with code
Deep Learning-Based Auto-Segmentation of Planning Target Volume for Total Marrow and Lymph Node Irradiation
In order to optimize the radiotherapy delivery for cancer treatment, especially when dealing with complex treatments such as Total Marrow and Lymph Node Irradiation (TMLI), the accurate contouring of the Planning Target Volume (PTV) is crucial.
A Tool for the Procedural Generation of Shaders using Interactive Evolutionary Algorithms
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 game development.
Segmentation of Planning Target Volume in CT Series for Total Marrow Irradiation Using U-Net
Radiotherapy (RT) is a key component in the treatment of various cancers, including Acute Lymphocytic Leukemia (ALL) and Acute Myelogenous Leukemia (AML).
Ensemble Methods for Multi-Organ Segmentation in CT Series
In the medical images field, semantic segmentation is one of the most important, yet difficult and time-consuming tasks to be performed by physicians.
Comparing Adversarial and Supervised Learning for Organs at Risk Segmentation in CT images
Organ at Risk (OAR) segmentation from CT scans is a key component of the radiotherapy treatment workflow.
ChatGPT and Other Large Language Models as Evolutionary Engines for Online Interactive Collaborative Game Design
In this paper, we present a collaborative game design framework that combines interactive evolution and large language models to simulate the typical human design process.
Distributed Learning Approaches for Automated Chest X-Ray Diagnosis
Deep Learning has established in the latest years as a successful approach to address a great variety of tasks.
Chest X-Rays Image Classification from beta-Variational Autoencoders Latent Features
Chest X-Ray (CXR) is one of the most common diagnostic techniques used in everyday clinical practice all around the world.
Image Embedding and Model Ensembling for Automated Chest X-Ray Interpretation
Chest X-ray (CXR) is perhaps the most frequently-performed radiological investigation globally.
Brain MRI Tumor Segmentation with Adversarial Networks
In this work, we introduce SegAN-CAT, an approach to brain tumor segmentation in Magnetic Resonance Images (MRI), based on Adversarial Networks.
DOOM Level Generation using Generative Adversarial Networks
We applied Generative Adversarial Networks (GANs) to learn a model of DOOM levels from human-designed content.
An Integrated Framework for AI Assisted Level Design in 2D Platformers
The design of video game levels is a complex and critical task.
Simulated Car Racing Championship: Competition Software Manual
This manual describes the competition software for the Simulated Car Racing Championship, an international competition held at major conferences in the field of Evolutionary Computation and in the field of Computational Intelligence and Games.
