Repository for deployment of and infrastructure supporting deep learning networks for segmentation of pediatric heart structures. Our current focus in on the segmentation of heart valves of children with congenital heart disease in collaboration with the MONAI community.
- Authors: Christian Herz (CHOP), Danielle Pace (MIT), Andras Lasso (PerkLab, Queen's University), Matthew Jolley (CHOP/UPenn)
- Contacts:
- Christian Herz, herzc@email.chop.edu
- Matthew Jolley, jolleym@email.chop.edu
This work was partially supported by:
- National Heart, Blood, and Lung Institute (NHLBI) R01 HL153166
- Children's Hospital of Philadelphia Frontier Grant (Pediatric Valve Center)
- Cora Topolewski Cardiac Research Fund At the Children’s Hospital of Philadelphia
- Department of Anesthesia and Critical Care at the Children’s Hospital of Philadelphia(CHOP)
- Herz C, Pace DF, Nam HH, Lasso A, Dinh P, Flynn M, Cianciulli A, Golland P, Jolley MA. Segmentation of Tricuspid Valve Leaflets From Transthoracic 3D Echocardiograms of Children With Hypoplastic Left Heart Syndrome Using Deep Learning. Frontiers in Cardiovascular Medicine (2021) 8:1839. https://doi.org/10.3389/fcvm.2021.735587