1 citations · 2 across the 4 of their papers we have counts for
5 papers
VETNET: Assembling Benchmark Datasets for AI-Driven Veterinary Innovation
Katherine J. Koebel, Renata Ivanek, Parminder Basran +33
VETNET represents an ecosystem of live benchmark datasets and evaluation frameworks designed to accelerate AI-driven innovation in animal science and veterinary medicine through st…
EchoJEPA: A Latent Predictive Foundation Model for Echocardiography
Alif Munim, Adibvafa Fallahpour, Teodora Szasz +9
Foundation models for echocardiography often struggle to disentangle anatomical signal from the stochastic speckle and acquisition artifacts inherent to ultrasound. We present Echo…
Hybrid artificial intelligence echogenic components-based diagnosis of adnexal masses on ultrasound
Roni Yoeli-Bik, Heather M. Whitney, Hui Li +6
Background: Adnexal masses are heterogeneous and have varied sonographic presentations, making them difficult to diagnose correctly. Purpose: Our study aimed to develop an innovati…
AI analysis of medical images at scale as a health disparities probe: a feasibility demonstration using chest radiographs
Heather M. Whitney, Hui Li, Karen Drukker +2
Health disparities (differences in non-genetic conditions that influence health) can be associated with differences in burden of disease by groups within a population. Social deter…
Longitudinal assessment of demographic representativeness in the Medical Imaging and Data Resource Center Open Data Commons
Heather M. Whitney, Natalie Baughan, Kyle J. Myers +11
Purpose: The Medical Imaging and Data Resource Center (MIDRC) open data commons was launched to accelerate the development of artificial intelligence (AI) algorithms to help addres…