Task 1: LV Function

High-Throughput Precision Phenotyping of Left Ventricular Hypertrophy With Cardiovascular Deep Learning

Duffy G, Cheng PP, Yuan N, He B, Kwan AC, Shun-Shin MJ, Alexander KM, Ebinger J, Lungren MP, Rader F, Liang DH, Schnittger I, Ashley EA, Zou JY, Patel J, Witteles R, Cheng S, Ouyang D.

JAMA Cardiol. 2022;7(4):386-395. doi:10.1001/jamacardio.2021.6059

Task 2: Semi-supervised View Detection

Fix-A-Step: Effective Semi-supervised Learning from Uncurated Unlabeled Sets

Zhe Huang, Mary-Joy Sidhom, Benjamin S. Wessler, Michael C. Hughes

arXiv:2208.11870

Funding, support, and approvals

We are grateful to the following institutions for funding and support

• National Institute of Health Research (NIHR), who support the Clincial Lecturerships of Dr. Matthew Shun-Shin and Dr. James Howard at Imperial College.
• NIHR Imperial Biomedial Research Centre (NIHR Imperial BRC) for providing start-up funding to collect pilot data to enable project / programme grant applications.

This research and open-access release of the has been conducted under:

• The Imperial AI Echocardiography Dataset [IRAS: 279328, REC:20/SC/0386]