19. A non-transitory computer readable medium encoded with computer executable instructions for detecting anatomic landmarks of a left ventricle (LV) in a magnetic resonance (MR) long axis image slice, the computer executable instructions when executed on a processor configures the processor to implement steps comprising: detecting a plurality of apex candidates in the MR long axis image slice using a trained apex detector; detecting a plurality of base plane candidates in the MR long axis image slice using a trained base plane detector; generating a joint context for each apex-base plane candidate pair; and determining a best apex-base plane candidate pair based on the generated joint context using a trained joint context detector.
19. A non-transitory computer readable medium encoded with computer executable instructions for detecting anatomic landmarks of a left ventricle (LV) in a magnetic resonance (MR) long axis image slice, the computer executable instructions when executed on a processor configures the processor to implement steps comprising: detecting a plurality of apex candidates in the MR long axis image slice using a trained apex detector; detecting a plurality of base plane candidates in the MR long axis image slice using a trained base plane detector; generating a joint context for each apex-base plane candidate pair; and determining a best apex-base plane candidate pair based on the generated joint context using a trained joint context detector. 21. The computer readable medium of claim 19 , wherein the apex candidates and the base plane candidates are detected using marginal space learning (MSL).