Radiotherapy (RT) is a key component in the treatment of various cancers...
In the medical images field, semantic segmentation is one of the most
im...
Organ at Risk (OAR) segmentation from CT scans is a key component of the...
Large language models (LLMs) have taken the scientific world by storm,
c...
Minimalist game design was introduced a decade ago as a general design
p...
Deep Learning has established in the latest years as a successful approa...
Chest X-Ray (CXR) is one of the most common diagnostic techniques used i...
Chest X-ray (CXR) is perhaps the most frequently-performed radiological
...
In this work, we present an approach to brain cancer segmentation in Mag...
We applied Generative Adversarial Networks (GANs) to learn a model of DO...
The design of video game levels is a complex and critical task. Levels n...
This manual describes the competition software for the Simulated Car Rac...