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04/05/2023
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...
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03/31/2023
Ensemble Methods for Multi-Organ Segmentation in CT Series
In the medical images field, semantic segmentation is one of the most im...
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03/31/2023
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...
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02/09/2023
ChatGPT and Other Large Language Models as Evolutionary Engines for Online Interactive Collaborative Game Design
Large language models (LLMs) have taken the scientific world by storm, c...
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07/08/2022
One Pixel, One Interaction, One Game: An Experiment in Minimalist Game Design
Minimalist game design was introduced a decade ago as a general design p...
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10/04/2021
Distributed Learning Approaches for Automated Chest X-Ray Diagnosis
Deep Learning has established in the latest years as a successful approa...
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09/29/2021
Chest X-Rays Image Classification from beta-Variational Autoencoders Latent Features
Chest X-Ray (CXR) is one of the most common diagnostic techniques used i...
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05/05/2021
Image Embedding and Model Ensembling for Automated Chest X-Ray Interpretation
Chest X-ray (CXR) is perhaps the most frequently-performed radiological ...
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10/07/2019
Transfer Brain MRI Tumor Segmentation Models Across Modalities with Adversarial Networks
In this work, we present an approach to brain cancer segmentation in Mag...
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04/24/2018
DOOM Level Generation using Generative Adversarial Networks
We applied Generative Adversarial Networks (GANs) to learn a model of DO...
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04/24/2018
An Integrated Framework for AI Assisted Level Design in 2D Platformers
The design of video game levels is a complex and critical task. Levels n...
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04/05/2013
