Tools
RadEdit model
December 2025
RadEdit is a latent diffusion model trained to generate and edit chest X-rays from medical reports. It is described in detail in RadEdit: Stress-Testing Biomedical Vision Models via Diffusion Image Editing (F. Pérez-García, S. Bond-Taylor, et al., 2024).
RAD-DINO model
November 2024
RAD-DINO is a vision transformer model trained to encode chest X-rays using the self-supervised learning method DINOv2. RAD-DINO is described in detail in RAD-DINO: Exploring Scalable Medical Image Encoders Beyond Text Supervision (F. Pérez-García, H. Sharma, S. Bond-Taylor, et al., 2024).
MAIRA-2 model
November 2024
MAIRA-2 is a multimodal transformer designed for the generation of grounded or non-grounded radiology reports from chest X-rays. It is described in more detail in MAIRA-2: Grounded Radiology Report Generation (S. Bannur, K. Bouzid et al., 2024). MAIRA-2 has been built…
PadChest-GR dataset
November 2024
PadChest-GR is a manually annotated, bilingual chest X-ray dataset designed to train and evaluate models for grounded radiology report generation. It includes bounding boxes and comprehensive annotations of all clinically relevant findings.
Temporal Vision-Language Processing (BioViL-T)
March 2023
BioViL-T is a Vision-Language model trained on sequences of biomedical image and text data at a scale. It does not require manual annotations and can leverage historical raw clinical image acquisitions and clinical notes. The temporal extension enables image and…
Biomedical Visual-Language Processing (BioViL)
February 2023
BioViL is a machine learning model trained on biomedical vision and language datasets at scale. It does not require manual annotations and can leverage historical raw clinical image acquisitions and clinical notes.