4 papers
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…
Anatomically Constrained Transformers for Echocardiogram Analysis
Alexander Thorley, Agis Chartsias, Jordan Strom +4
Video transformers have recently demonstrated strong potential for echocardiogram (echo) analysis, leveraging self-supervised pre-training and flexible adaptation across diverse ta…
Learning to Stop: Reinforcement Learning for Efficient Patient-Level Echocardiographic Classification
Woo-Jin Cho Kim, Jorge Oliveira, Arian Beqiri +8
Guidelines for transthoracic echocardiographic examination recommend the acquisition of multiple video clips from different views of the heart, resulting in a large number of clips…
Anatomically Constrained Transformers for Cardiac Amyloidosis Classification
Alexander Thorley, Agis Chartsias, Jordan Strom +7
Cardiac amyloidosis (CA) is a rare cardiomyopathy, with typical abnormalities in clinical measurements from echocardiograms such as reduced global longitudinal strain of the myocar…