Deep Learning Segmentation of the Right Ventricle in Cardiac MRI: The M&Ms Challenge.
Carlos Martín-IslaVíctor M. CampelloCristian IzquierdoKaisar KushibarCarla Sendra-BalcellsPolyxeni GkontraAlireza SojoudiMitchell J. FultonTewodros Weldebirhan AregaKumaradevan PunithakumarLei LiXiaowu SunYasmina Al KhalilDi LiuSana JabbarSandro F. QueirosFrancesco GalatiMoona MazherZheyao GaoMarcel BeetzLennart TautzChristoforos GalazisMarta VarelaMarkus HüllebrandVicente GrauXiahai ZhuangDomenec PuigMaria A. ZuluagaHassan Mohy-ud-DinDimitris N. MetaxasMarcel BreeuwerRob J. van der GeestMichelle NogaStéphanie BricqMark E. RentschlerAndrea GualaSteffen E. PetersenSergio EscaleraJosé F. Rodríguez PalomaresKarim LekadirPublished in: IEEE J. Biomed. Health Informatics (2023)
Keyphrases
- cardiac mri
- deep learning
- physiological parameters
- left ventricle
- unsupervised learning
- magnetic resonance images
- left ventricular
- machine learning
- object detection
- weakly supervised
- ground truth
- mental models
- segmentation method
- object segmentation
- shape prior
- fully automatic
- energy function
- medical images
- short axis
- higher order
- wall thickness
- denoising