M. I. Miller

This paper introduces a method to align molecular transcriptomics data with tissue atlases using geometric and optimization techniques, enabling integration of diverse datasets into a common coordinate system.

This study measures amygdala and ERC atrophy rates in preclinical Alzheimer's disease using MRI and reconstructs 3D tau pathology distributions, finding amygdala atrophy comparable to ERC and suggesting it as a potential biomarker.

This paper introduces Projective LDDMM, a method mapping dense MRI atlases to sparse histological measurements, with applications in Alzheimer's biomarker development.

This paper introduces a unified framework for brain mapping that integrates molecular and tissue scales using geometric measure representations, applied to Alzheimer's disease.