452 citations · 455 across the 6 of their papers we have counts for
3 papers · 1 filter
V-REX: Efficient Specialist VLM Training for Veterinary X-Rays
Tim Elsner, Nicole McNally, Andre Dourson +1
While generalist VLMs are expensive to train, creating domain experts is widely assumed to require fine-tuning increasingly large foundation models. We show that, in veterinary rad…
VET-DINO: Learning Anatomical Understanding Through Multi-View Distillation in Veterinary Imaging
Andre Dourson, Kylie Taylor, Xiaoli Qiao +1
Self-supervised learning has emerged as a powerful paradigm for training deep neural networks, particularly in medical imaging where labeled data is scarce. While current approache…
StudyFormer : Attention-Based and Dynamic Multi View Classifier for X-ray images
Lucas Wannenmacher, Michael Fitzke, Diane Wilson +1
Chest X-ray images are commonly used in medical diagnosis, and AI models have been developed to assist with the interpretation of these images. However, many of these models rely o…