Michael Miller

Michael I. Miller, PhD

Bessie Darling Massey Professor and Director

Co-Director, Kavli Neuroscience Discovery Institute
Johns Hopkins University Gilman Scholar

Office: Wyman 400W
Lab: Center for Imaging Science
Assistant: 410-516-2039
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B.S.E.E. State University of NY at Stony Brook, 1976
M.S.E.E., The Johns Hopkins University, 1979
Ph.D., B.M.E., The Johns Hopkins University, 1984

Research Interests

Michael I. Miller is the Bessie Darling Massey Professor and Director of Biomedical Engineering at Johns Hopkins University. He is also co-director of the Kavli Neuroscience Discovery Institute.

As a biomedical engineer who specializes in data science, Miller is pioneering cutting-edge technologies in computational medicine to understand and diagnose neurodegenerative diseases. His research focuses on the functional and structural characteristics of the human brain in health and disease, including Huntington’s disease, Alzheimer’s disease, dementia, bipolar disorder, schizophrenia, and epilepsy. By developing new tools to analyze patient brain scans, derived from advanced medical imaging technologies, Miller aims to predict the risk of developing neurological disorders years before the onset of clinical symptoms. His lab is currently devising cloud-based methods to build and share libraries of brain images—and the algorithms used to understand them—associated with neuropsychiatric illness. Miller’s research is highly translational, and he has co-founded four start-up companies in the past decade.

Miller has co-authored more than 200 peer-reviewed publications, as well as two highly cited textbooks on random point processes and computational anatomy. In 2002, he was recognized by the Institute for Scientific Information (ISI) Essential Science Indicators for garnering the highest rate of increase in total citations in the field of engineering for his work in computational anatomy.

He has received numerous awards for his work, including the national Institute of Electrical and Electronics Engineers (IEEE) Biomedical Engineering Thesis Award in 1982, the Johns Hopkins Paul Ehrlich Graduate Student Thesis Award in 1983, and the National Science Foundation (NSF) Presidential Young Investigator Award in 1986. He was named an inaugural Johns Hopkins University Gilman Scholar in 2011 for demonstrating a distinguished record of research, teaching, and service. He is an elected Fellow of the American Institute for Medical and Biological Engineering, the Institute of Electrical and Electronics Engineers, and the Biomedical Engineering Society.

Miller earned his BS from the State University of New York at Stony Brook in 1976, and his MS and PhD in biomedical engineering from Johns Hopkins University in 1978 and 1983, respectively. He was the Newton R. and Sarah L. Wilson Professor in Biomedical Engineering at Washington University in St. Louis until joining Johns Hopkins University in 1998. He was named the Herschel and Ruth Seder Professor in Biomedical Engineering in 2003, before his appointment as the director of biomedical engineering in 2017. He was also previously the director of the Johns Hopkins Center for Imaging Science.

Selected Publications

From Pub Med   |   Google Scholar Profile

Publications Search

Younes L, Albert M, Moghekar A, Soldan A, Pettigrew C, Miller MI (2019) Identifying changepoints in biomarkers during the preclinical phase of Alzheimer’s disease. Front Aging Neurosci 11:74

Tang X, Ross CA, Johnson H, Paulsen JS, Younes L, Albin RL, Ratnanather JT, Miller MI (2019) Regional subcortical shape analysis in premanifest Huntington’s disease. Hum Brain Mapp 40(5):1419-1433.

Kulason S, Tward DJ, Brown T, Sicat CS, Liu C-F, Ratnanather JT, Younes L, Bakker A, Gallagher M, Albert M, Miller MI (2019) Cortical thickness atrophy in the transentorhinal cortex in mild cognitive impairment. Neuroimage Clin 21:101617.

Tward DJ, Brown T, Patel J, Kageyama Y, Mori S, Troncoso JC, Miller MI (2018) Quantification of 3D tangle distribution in medial temporal lobe using multimodal image registration and convolutional neural networks. Alzheimers Dement 14(7):1291.

Soldan A, Pettigrew C, Cai Q, Wang J, Wang M-C, Moghekar A, Miller MI, Albert M, BIOCARD Research Team (2017) Cognitive reserve and long-term change in cognition in aging and preclinical Alzheimer’s disease. Neurobiol Aging 60:164-172.

Tward DJ, Sicat CS, Brown T, Bakker A, Gallagher M, Albert M, Miller MI (2017) Entorhinal and transentorhinal atrophy in mild cognitive impairment using longitudinal diffeomorphometry. Alzheimers Dement (Amst) 9:41-50.

Younes L, Albert M, Miller MI, BIOCARD Research Team (2014) Inferring changepoint times of medial temporal lobe morphometric change in preclinical Alzheimer’s disease. Neuroimage Clin 5:178-187.

Bakker A, Kirwan CB, Miller M, Stark CE (2008) Pattern separation in the human hippocampal CA3 and dentate gyrus. Science 319(5870):1640-1642.

Beg MF, Miller MI, Trouve A, Younes L (2005) Computing large deformation metric mappings via geodesic flows of diffeomorphisms. Int J Comput Vis 61(2):139-157.

Csernansky JG, Wang L, Swank J, Miller JP, Gado M, McKeel D, Miller MI, Morris JC (2005) Preclinical detection of Alzheimer’s disease: hippocampal shape and volume predict dementia onset in elderly. Neuroimage 25(3):783-792.

Grenander U, Miller MI (1998) Computational anatomy: an emerging discipline. Quarterly of Applied Mathematics 56:617-694.

Christensen GE, Rabbitt RD, Miller MI (1996) Deformable templates using large deformation kinematics. IEEE Trans Image Process 5(10):1435-1447.

Snyder DL, Miller MI (1991) Random Point Processes in Time and Space, (Springer Verlag, New York), pp 1-481.

Snyder DL, Miller MI, Thomas LJ, Politte DG (1987) Noise and edge artifacts in maximum-likelihood reconstructions for emission tomography. IEEE Trans Med Imaging 6(3):228-238.

Sachs MB, Young ED, Miller MI (1983) Speech encoding in the auditory nerve: implications for cochlear implants. Ann N Y Acad Sci 405(1):94-113.