3 citations · 3 across the 4 of their papers we have counts for
4 papers
EchoVLM: Measurement-Grounded Multimodal Learning for Echocardiography
Yuheng Li, Yue Zhang, Abdoul Aziz Amadou +5
Echocardiography is the most widely used imaging modality in cardiology, yet its interpretation remains labor-intensive and inherently multimodal, requiring view recognition, quant…
EchoApex: A General-Purpose Vision Foundation Model for Echocardiography
Abdoul Aziz Amadou, Yue Zhang, Sebastien Piat +4
Quantitative evaluation of echocardiography is essential for precise assessment of cardiac condition, monitoring disease progression, and guiding treatment decisions. The diverse n…
Goal-conditioned reinforcement learning for ultrasound navigation guidance
Abdoul Aziz Amadou, Vivek Singh, Florin C. Ghesu +7
Transesophageal echocardiography (TEE) plays a pivotal role in cardiology for diagnostic and interventional procedures. However, using it effectively requires extensive training du…
Cardiac ultrasound simulation for autonomous ultrasound navigation
Abdoul Aziz Amadou, Laura Peralta, Paul Dryburgh +11
Ultrasound is well-established as an imaging modality for diagnostic and interventional purposes. However, the image quality varies with operator skills as acquiring and interpreti…