Domenec Puig

Domenec Puig is a Professor at the Department of Computer Science and Mathematics, Rovira i Virgili University, Spain. His research focuses on machine learning, medical imaging, and computer vision, with applications in healthcare and biomedical informatics. He collaborates extensively with researchers in AI-driven medical diagnostics, including fundus image analysis, MRI segmentation, and neonatal birth weight prediction using multimodal data.

Key research areas include deep learning architectures for semantic segmentation, generative adversarial networks (GANs), and interpretable AI models. His work bridges theoretical advancements in neural networks with practical solutions for challenges in medical image analysis, such as crack detection in materials, tumor classification, and survival prediction in oncology.

Recent publications highlight contributions to transformer-based models, hybrid architectures (e.g., CoAtUNet), and domain adaptation techniques for cross-site generalization in MRI segmentation. His methodologies often emphasize explainability and efficiency in resource-constrained settings.