Jose Dolz

FLAIR model improves eye disease analysis using expert knowledge and fundus images.

A new method enhances calibration in deep neural networks for medical imaging.

A new method enhances prediction accuracy and calibration in semi-supervised learning.

LP++ improves vision-language model adaptation, especially in few-shot learning scenarios.

A method that enhances segmentation tasks with minimal training requirements.

This article tackles miscalibration issues in vision-language models and offers solutions.

A new approach enhances consistency in MRI images from different sources.

Boosting robot accuracy in recognizing new images using clever word techniques.

Discover how Test-Time Training helps models adapt to changing image data.

Learn about foundation models and how conformal prediction ensures reliable outcomes.