7 citations · 13 across the 7 of their papers we have counts for
7 papers
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…
PulseNet: Deep Learning ECG-signal classification using random augmentation policy and continous wavelet transform for canines
Andre Dourson, Roberto Santilli, Federica Marchesotti +8
Evaluating canine electrocardiograms (ECG) require skilled veterinarians, but current availability of veterinary cardiologists for ECG interpretation and diagnostic support is limi…
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…
Who Goes First? Influences of Human-AI Workflow on Decision Making in Clinical Imaging
Riccardo Fogliato, Shreya Chappidi, Matthew Lungren +7
Details of the designs and mechanisms in support of human-AI collaboration must be considered in the real-world fielding of AI technologies. A critical aspect of interaction design…
RapidRead: Global Deployment of State-of-the-art Radiology AI for a Large Veterinary Teleradiology Practice
Michael Fitzke, Conrad Stack, Andre Dourson +7
This work describes the development and real-world deployment of a deep learning-based AI system for evaluating canine and feline radiographs across a broad range of findings and a…
OncoPetNet: A Deep Learning based AI system for mitotic figure counting on H&E stained whole slide digital images in a large veterinary diagnostic lab setting
Michael Fitzke, Derick Whitley, Wilson Yau +7
Background: Histopathology is an important modality for the diagnosis and management of many diseases in modern healthcare, and plays a critical role in cancer care. Pathology samp…