4 citations · 7 across the 8 of their papers we have counts for
8 papers
MIRAGE: Retrieval and Generation of Multimodal Images and Texts for Medical Education
Miguel Diaz Benito, Cecilia Diana Albelda, Alvaro Garcia Martin +3
Access to diverse, well-annotated medical images with interactive learning tools is fundamental for training practitioners in medicine and related fields to improve their diagnosti…
Deep Learning-Based Cross-Anatomy CT Synthesis Using Adapted nnResU-Net with Anatomical Feature Prioritized Loss
Javier Sequeiro González, Arthur Longuefosse, Miguel Díaz Benito +2
We present a patch-based 3D nnUNet adaptation for MR to CT and CBCT to CT image translation using the multicenter SynthRAD2025 dataset, covering head and neck (HN), thorax (TH), an…
A Data-Centric Approach to Pedestrian Attribute Recognition: Synthetic Augmentation via Prompt-driven Diffusion Models
Alejandro Alonso, Sawaiz A. Chaudhry, Juan C. SanMiguel +3
Pedestrian Attribute Recognition (PAR) is a challenging task as models are required to generalize across numerous attributes in real-world data. Traditional approaches focus on com…
GBT-SAM: A Parameter-Efficient Depth-Aware Model for Generalizable Brain tumour Segmentation on mp-MRI
Cecilia Diana-Albelda, Roberto Alcover-Couso, Álvaro García-Martín +2
Gliomas are aggressive brain tumors that require accurate imaging-based diagnosis, with segmentation playing a critical role in evaluating morphology and treatment decisions. Manua…
SynthmanticLiDAR: A Synthetic Dataset for Semantic Segmentation on LiDAR Imaging
Javier Montalvo, Pablo Carballeira, Álvaro García-Martín
Semantic segmentation on LiDAR imaging is increasingly gaining attention, as it can provide useful knowledge for perception systems and potential for autonomous driving. However, c…
Unsupervised Class Generation to Expand Semantic Segmentation Datasets
Javier Montalvo, Álvaro García-Martín, Pablo Carballeira +1
Semantic segmentation is a computer vision task where classification is performed at a pixel level. Due to this, the process of labeling images for semantic segmentation is time-co…