1. A method for anatomical object detection in a 3D medical image of a patient, comprising: receiving a 3D medical image of a patient including a target anatomical object; and detecting a 3D pose of the target anatomical object in the 3D medical image in a series of marginal parameter spaces of increasing dimensionality using a respective trained sparse deep neural network for each of the marginal search spaces.