1. A method for computing image-derived biomarkers, the method comprising: receiving image data defining a three-dimensional image volume representative of an anatomical region of interest and comprising a plurality of voxels; applying an intensity model on a per-voxel basis across the three-dimensional image volume to assign a weighting value for each voxel indicating a likelihood that the voxel includes anatomical features related to a biomarker of interest, wherein the intensity model is a machine learning model trained using intensity features of previously acquired image data; and deriving information related to the biomarker of interest without prior creation of a segmented mesh from the image data by performing one or more modeling computations directly on the image data, wherein the weighting values are used to limit the modeling computations to voxels comprising the anatomical features related to the biomarker of interest.