Michael I. Miller

Michael I. Miller, Robert G. Weiss, Laurent Younes, 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Cortical Hemisphere Registration Via Large Deformation Diffeomorphic Metric Curve Mapping

Michael I. Miller, Anqi Qiu, M. Miller, 2007, MICCAI.

Gross feature recognition of Anatomical Images based on Atlas grid (GAIA): Incorporating the local discrepancy between an atlas and a target image to capture the features of anatomic brain MRI☆

Michael I. Miller, Susumu Mori, Kenichi Oishi, 2013, NeuroImage: Clinical.

A Model for Elastic Evolution on Foliated Shapes

Michael I. Miller, Laurent Younes, Nicolas Charon, 2018, IPMI.

Maximum likelihood reconstruction algorithm for magnetic resonance imaging

Michael I. Miller, Tim J. Schaewe, T. J. Schaewe, 1990, Medical Imaging.

Bayesian Inference of Regular Grammar and Markov Source Models

Michael I. Miller, Kurt R. Smith, 1989, NIPS.

Computing Large Deformation Metric Mappings via Geodesic Flows of Diffeomorphisms

Alain Trouvé, Michael I. Miller, Mirza Faisal Beg, 2005, International Journal of Computer Vision.

Signal Processing for Radar Target Tracking and Identification

Joseph A. O'Sullivan, Michael I. Miller, Donald L. Snyder, 1996 .

Changes in hippocampal volume and shape across time distinguish dementia of the Alzheimer type from healthy aging☆

Michael I. Miller, Lei Wang, John G. Csernansky, 2003, NeuroImage.

Detection of multiple airborne targets from multisensor data

Michael I. Miller, Anuj Srivastava, Ulf Grenander, 1995, Optics & Photonics.

Group Actions, Homeomorphisms, and Matching: A General Framework

Michael I. Miller, Laurent Younes, L. Younes, 2004, International Journal of Computer Vision.

Diffeomorphic Matching of Diffusion Tensor Images

Michael I. Miller, Susumu Mori, Yan Cao, 2006, 2006 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'06).

Diffeomorphic Registration With Intensity Transformation and Missing Data: Application to 3D Digital Pathology of Alzheimer's Disease

Michael I. Miller, Susumu Mori, Daniel J. Tward, 2018, bioRxiv.

Large deviations for the asymptotics of Ziv-Lempel codes for 2-D Gibbs fields

Michael I. Miller, Y. Amit, Y. Amit, 1992, IEEE Trans. Inf. Theory.

Tools for multiple granularity analysis of brain MRI data for individualized image analysis

Xiaoying Tang, Michael I. Miller, Can Ceritoglu, 2014, NeuroImage.

Image reconstruction for 3D light microscopy with a regularized linear method incorporating a smoothness prior

Michael I. Miller, Chrysanthe Preza, Jose-Angel Conchello, 1993, Electronic Imaging.

Multi-atlas tool for automated segmentation of brain gray matter nuclei and quantification of their magnetic susceptibility

Lin Chen, Xu Li, Michael I. Miller, 2019, NeuroImage.

Semisupervised learning from dissimilarity data

Carey E. Priebe, Michael I. Miller, Youngser Park, 2008, Comput. Stat. Data Anal..

Bayesian imaging using Good's roughness measure-implementation on a massively parallel processor

Michael I. Miller, Badrinath Roysam, J. A. Shrauner, 1988, ICASSP-88., International Conference on Acoustics, Speech, and Signal Processing.

Ontological Labels for Automated Location of Left Ventricular Remodeling

Ron Kikinis, Michael I. Miller, J. Tilak Ratnanather, 2011, 2011 IEEE Fifth International Conference on Semantic Computing.

The emerging discipline of Computational Functional Anatomy

Michael I. Miller, Anqi Qiu, M. Miller, 2009, NeuroImage.

On the existence of positive-definite maximum-likelihood estimates of structured covariance matrices

Michael I. Miller, Daniel R. Fuhrmann, M. Miller, 1988, IEEE Trans. Inf. Theory.

Information measures for object recognition accommodating signature variability

Michael I. Miller, H. L. Cooper, 2000, IEEE Trans. Inf. Theory.

Computational functional anatomy on the teragrid

Michael I. Miller, 2008 .

Spatiotemporal mapping of brain atrophy in mouse models of Huntington's disease using longitudinal in vivo magnetic resonance imaging

Michael I. Miller, Qi Peng, Susumu Mori, 2012, NeuroImage.

Neuroanatomical asymmetry patterns in individuals with schizophrenia and their non-psychotic siblings

Michael I. Miller, Lei Wang, Anqi Qiu, 2009, NeuroImage.

The Use of Sieves to Stabilize Images Produced with the EM Algorithm for Emission Tomography

Michael I. Miller, Donald L. Snyder, M. Miller, 1985, IEEE Transactions on Nuclear Science.

Changepoint analysis of putamen and thalamus subregions in premanifest huntington's disease

Xiaoying Tang, Michael I. Miller, Xiaoqing Tan, 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018).

Computational analysis of LDDMM for brain mapping

Margaret Chow, Xiaoying Tang, Michael I. Miller, 2013, Front. Neurosci..

VECSEL for 3D LiDAR applications

Michael I. Miller, Holger Moench, Stephan Gronenborn, 2019, LASE.

Editorial: Bayesian Estimation and Inference in Computational Anatomy and Neuroimaging: Methods and Applications

Xiaoying Tang, Michael I. Miller, M. Miller, 2019, Front. Neurosci..

Pattern Theory: From Representation to Inference

Michael I. Miller, Ulf Grenander, U. Grenander, 2007 .

Atlas-based whole brain white matter analysis using large deformation diffeomorphic metric mapping: Application to normal elderly and Alzheimer's disease participants

Arthur W. Toga, Michael I. Miller, Alan C. Evans, 2009, NeuroImage.

Shape analysis of hypertrophic and hypertensive heart disease using MRI-based 3D surface models of left ventricular geometry

Michael I. Miller, Katherine C. Wu, Laurent Younes, 2016, Medical Image Anal..

Large Deformation Diffeomorphism and Momentum Based Hippocampal Shape Discrimination in Dementia of the Alzheimer type

Michael I. Miller, Lei Wang, Mirza Faisal Beg, 2007, IEEE Transactions on Medical Imaging.

Maximum-likelihood estimation of complex sinusoids and Toeplitz covariances

Michael I. Miller, Michael J. Turmon, M. Turmon, 1994, IEEE Trans. Signal Process..

Fisher information in transported generator clutter models

Michael I. Miller, Ulf Grenander, Dmitri Bitouk, 2001 .

Deformable anatomical templates for brachytherapy treatment planning in radiotherapy of cervical cancer

Michael I. Miller, Gary E. Christensen, Michael W. Vannier, 1997, Optics & Photonics.

Performance Bounds for ATR based on Compressed Data

Kannan Ramchandran, Avinash Jain, Pierre Moulin, 1998 .

Efficient estimation of thermodynamic state incorporating Bayesian model order selection

Michael I. Miller, Aaron D. Lanterman, Matthew Cooper, 1999, Defense, Security, and Sensing.

Dynamic programming generation of boundaries of local coordinatized submanifolds in the neocortex: application to the planum temporale

Michael I. Miller, J. Tilak Ratnanather, Godfrey D. Pearlson, 2003, NeuroImage.

Entropies and combinatorics of random branching processes and context-free languages

Joseph A. O'Sullivan, Michael I. Miller, M. Miller, 1992, IEEE Trans. Inf. Theory.

Individualizing Neuroanatomic Atlases Using a Massively Parallel Computer

Michael I. Miller, Gary E. Christensen, Michael W. Vannier, 1996, Computer.

Information-Theoretic Bounds on Target Recognition Performance Based on Degraded Image Data

Kannan Ramchandran, Avinash Jain, Pierre Moulin, 2002, IEEE Trans. Pattern Anal. Mach. Intell..

A unified approach for hierarchical imaging based on joint hypothesis testing and parameter estimation

Michael I. Miller, Badrinath Roysam, M. Miller, 1989, International Conference on Acoustics, Speech, and Signal Processing,.

Computational Anatomy for Generating 3D Avatars and Boosting Face Recognition Systems

Michael I. Miller, Marc Vaillant, G. Zang, 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Workshops.

Automated segmentation of corticospinal tract in diffusion tensor images via multi-modality multi-atlas fusion

Michael I. Miller, Susumu Mori, Xiaoying Tang, 2014, Medical Imaging.

Atlas Generation for Subcortical and Ventricular Structures With Its Applications in Shape Analysis

Jun Ma, Michael I. Miller, Anqi Qiu, 2010, IEEE Transactions on Image Processing.

Shape Analysis on Subcortical Structures with its Application in Children with Autism

Michael I. Miller, Anqi Qiu, Stewart H. Mostofsky, 2009 .

TOF-Benefits on the Philips Digital PET/CT Scanner: Evaluation of Faster Convergence and Reduced Scan Times

Michael I. Miller, Andriy Andreyev, Manoj Narayanan, 2016 .

Asymptotic performance analysis for object recognition in clutter

Michael I. Miller, Laurent Younes, Dmitri Bitouk, 2003, SPIE Defense + Commercial Sensing.

Cardiac motion analysis in ischemic and non-ischemic cardiomyopathy using parallel transport

Michael I. Miller, Robert G. Weiss, Katherine C. Wu, 2009, 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Robust Diffeomorphic Mapping via Geodesically Controlled Active Shapes

Jun Ma, Michael I. Miller, Laurent Younes, 2013, Int. J. Biomed. Imaging.

REPRESENTATIONS OF KNOWLEDGE IN COMPLEX SYSTEMS

Michael I. Miller, Ulf Grenander, U. Grenander, 1994 .

Deformably registering and annotating whole CLARITY brains to an atlas via masked LDDMM

Michael I. Miller, Kwame S. Kutten, Joshua T. Vogelstein, 2016, SPIE Photonics Europe.

Multimodal Cross-registration and Quantification of Metric Distortions in Whole Brain Histology of Marmoset using Diffeomorphic Mappings

Michael I. Miller, Yan Fu, Partha P. Mitra, 2018 .

Toward automated expert reasoning and expert-novice communication

Donald Perlis, Michael I. Miller, D. Perlis, 1997 .

Constrained Stochastic Language Models

Michael I. Miller, Ulf Grenander, Kevin E. Mark, 1996 .

Ontological labels for automated location of anatomical shape differences

Ron Kikinis, Michael I. Miller, J. Tilak Ratnanather, 2012, J. Biomed. Informatics.

A Bayesian approach to the creation of a study-customized neonatal brain atlas

Michael I. Miller, Can Ceritoglu, Kenichi Oishi, 2014, NeuroImage.

Direct estimation of patient attributes from anatomical MRI based on multi-atlas voting

Michael I. Miller, Can Ceritoglu, Susumu Mori, 2016, NeuroImage: Clinical.

A Bayesian Generative Model for Surface Template Estimation

Jun Ma, Michael I. Miller, Laurent Younes, 2010, Int. J. Biomed. Imaging.

Representing and computing regular languages on massively parallel networks

Joseph A. O'Sullivan, Michael I. Miller, Badrinath Roysam, 1991, IEEE Trans. Neural Networks.

Monte Carlo Techniques for Automated Target Recognition

Michael I. Miller, Anuj Srivastava, Ulf Grenander, 2001, Sequential Monte Carlo Methods in Practice.

Mapping Rule-Based And Stochastic Constraints To Connection Architectures: Implication For Hierarchical Image Processing

Michael I. Miller, Badrinath Roysam, Kurt R. Smith, 1988, Other Conferences.

Matching Sparse Sets of Cardiac Image Cross-Sections Using Large Deformation Diffeomorphic Metric Mapping Algorithm

Michael I. Miller, Laurent Younes, Siamak Ardekani, 2011, STACOM.

Bayesian template estimation in computational anatomy

Alain Trouvé, Jun Ma, Michael I. Miller, 2008, NeuroImage.

On The Geometry and Shape of Brain Sub-Manifolds

Michael I. Miller, Ulf Grenander, Sarang C. Joshi, 1997, Int. J. Pattern Recognit. Artif. Intell..

Geodesic Shooting for Computational Anatomy

Alain Trouvé, Michael I. Miller, Laurent Younes, 2006, Journal of Mathematical Imaging and Vision.

What experts deny, novices must understand

Donald Perlis, Michael I. Miller, 1998 .

The metric spaces, Euler equations, and normal geodesic image motions of computational anatomy

Alain Trouvé, Michael I. Miller, Laurent Younes, 2003, Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429).

2D-to-3D Face Recognition Systems

Michael I. Miller, William Hoffman, Marc Vaillant, 2009 .

Bayesian Segmentation via Asymptotic Partition Functions

Michael I. Miller, Aaron D. Lanterman, Ulf Grenander, 2000, IEEE Trans. Pattern Anal. Mach. Intell..

Commercial VCSELs reach 0.1-W cw output power

Roger King, Michael I. Miller, Martin Grabherr, 2004, SPIE OPTO.

Intrinsic and extrinsic analysis in computational anatomy

Michael I. Miller, Anqi Qiu, Laurent Younes, 2008, NeuroImage.

Representations of shape for structural inference in infrared scenes

Michael I. Miller, Donald L. Snyder, Aaron D. Lanterman, 1997, Defense, Security, and Sensing.

3D Mapping of Serial Histology Sections with Anomalies Using a Novel Robust Deformable Registration Algorithm

Michael I. Miller, Partha P. Mitra, Bing-Xing Huo, 2019, MBIA/MFCA@MICCAI.

Multi-contrast human neonatal brain atlas: Application to normal neonate development analysis

Michael I. Miller, Thomas Ernst, Hangyi Jiang, 2011, NeuroImage.

Atlas-based analysis of resting-state functional connectivity: Evaluation for reproducibility and multi-modal anatomy–function correlation studies

Michael I. Miller, Peter C. M. van Zijl, James J. Pekar, 2012, NeuroImage.

Semi-automated Basal Ganglia Segmentation Using Large Deformation Diffeomorphic Metric Mapping

Michael I. Miller, Ali R. Khan, Mirza Faisal Beg, 2005, MICCAI.

Dataset Descriptions: HCLS Community Profile

Gary D. Bader, Michel Dumontier, Alasdair J. G. Gray, 2015 .

Kullback-Leibler distances for quantifying clutter and models

Joseph A. O'Sullivan, Michael I. Miller, Aaron D. Lanterman, 1999 .

Quantification of Sociolinguistic Data

Michael I. Miller, M. I. Miller, 1988 .

A Bayesian approach incorporating Rissanen complexity for learning Markov random field texture models

Michael I. Miller, Kurt R. Smith, M. Miller, 1990, International Conference on Acoustics, Speech, and Signal Processing.

Large deformation diffeomorphic metric mapping of vector fields

Michael I. Miller, Yan Cao, Laurent Younes, 2005, IEEE Transactions on Medical Imaging.

Quantization and analysis of hippocampal morphometric changes due to dementia of Alzheimer type using metric distances based on large deformation diffeomorphic metric mapping

Michael I. Miller, Lei Wang, Mirza Faisal Beg, 2011, Comput. Medical Imaging Graph..

Content-based image retrieval for brain MRI: An image-searching engine and population-based analysis to utilize past clinical data for future diagnosis

Michael I. Miller, Susumu Mori, Kenichi Oishi, 2015, NeuroImage: Clinical.

Computational anatomy: computing metrics on anatomical shapes

Alain Trouvé, Michael I. Miller, Mirza Faisal Beg, 2002, Proceedings IEEE International Symposium on Biomedical Imaging.

Unification of detection, tracking, and recognition for millimeter wave and infrared sensors

Michael I. Miller, Donald L. Snyder, Aaron D. Lanterman, 1995, Optics & Photonics.

Stochastic representation of memoryless Boolean functions: application to boundary estimation at low contrast

Michael I. Miller, Badrinath Roysam, 1990, International Conference on Acoustics, Speech, and Signal Processing.

Conditional-mean estimation via jump-diffusion processes in multiple target tracking/recognition

Michael I. Miller, Anuj Srivastava, Ulf Grenander, 1995, IEEE Trans. Signal Process..

A fast atlas pre-selection procedure for multi-atlas based brain segmentation

Dan Wu, Xiaoying Tang, Michael I. Miller, 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Combining stochastic and syntactic processing with analog computation methods

Michael I. Miller, Badrinath Roysam, 1992, Digit. Signal Process..

Transport of Relational Structures in Groups of Diffeomorphisms

Michael I. Miller, Anqi Qiu, Laurent Younes, 2008, Journal of Mathematical Imaging and Vision.

Computational Anatomy Gateway: Leveraging XSEDE Computational Resources for Shape Analysis

Michael I. Miller, J. Tilak Ratnanather, Laurent Younes, 2014, XSEDE '14.

Diffeomorphic Image Registration

Michael I. Miller, John Ashburner, 2015 .

Asymptotic performance analysis of Bayesian target recognition

Michael I. Miller, Anuj Srivastava, Ulf Grenander, 2000, IEEE Trans. Inf. Theory.

Simultaneous skull-stripping and lateral ventricle segmentation via fast multi-atlas likelihood fusion

Xiaoying Tang, Michael I. Miller, Can Ceritoglu, 2015, Medical Imaging.

Diffeomorphic Surface Registration with Atrophy Constraints

Michael I. Miller, Laurent Younes, Sylvain Arguillère, 2016, SIAM J. Imaging Sci..

Landmark Matching via Large Deformation Diffeomorphisms on the Sphere

Michael I. Miller, Joan Alexis Glaunès, Marc Vaillant, 2004, Journal of Mathematical Imaging and Vision.

Atlas-based analysis of neurodevelopment from infancy to adulthood using diffusion tensor imaging and applications for automated abnormality detection

Michael I. Miller, Hangyi Jiang, Susumu Mori, 2010, NeuroImage.

Patient Specific Dosimetry Phantoms Using Multichannel LDDMM of the Whole Body

Gregory M. Sturgeon, Michael I. Miller, Can Ceritoglu, 2011, Int. J. Biomed. Imaging.

Individualizing Anatomical Atlases of the Head

Michael I. Miller, Gary E. Christensen, Sarang C. Joshi, 1996, VBC.

Information measures for object recognition

Michael I. Miller, Matthew L. Cooper, 1998, Defense, Security, and Sensing.

A stochastic model for studying the laminar structure of cortex from MRI

Michael I. Miller, Anqi Qiu, Patrick Barta, 2005, IEEE Transactions on Medical Imaging.

Quantitative analysis of brain pathology based on MRI and brain atlases—Applications for cerebral palsy

Michael I. Miller, Hangyi Jiang, Susumu Mori, 2011, NeuroImage.

Hippocampus Shape-Space Analysis of Clinically Depressed, High Risk, and Control Populations

Carey E. Priebe, Michael I. Miller, Kelly N. Botteron, 2007, 2007 Frontiers in the Convergence of Bioscience and Information Technologies.

Bayesian Parameter Estimation and Segmentation in the Multi-Atlas Random Orbit Model

Xiaoying Tang, Michael I. Miller, Susumu Mori, 2013, PloS one.

Bayesian Multiple Atlas Deformable Templates

Michael I. Miller, Susumu Mori, Xiaoying Tang, 2015 .

Evaluation of group-specific, whole-brain atlas generation using Volume-based Template Estimation (VTE): Application to normal and Alzheimer's populations

Michael I. Miller, Susumu Mori, Jiangyang Zhang, 2014, NeuroImage.

Gaussian Random Fields on Sub-Manifolds for Characterizing Brain Surfaces

Michael I. Miller, Gary E. Christensen, John G. Csernansky, 1997, IPMI.

Stochastic Representations of Formal Languages

Michael I. Miller, M. I. Miller, 1989, IEEE/CAM Information Theory Workshop at Cornell.

Hierarchical brain mapping via a generalized Dirichlet solution for mapping brain manifolds

Michael I. Miller, Gary E. Christensen, Ulf Grenander, 1995, Optics & Photonics.

Development of a web-based teaching module for light propagation in turbid media

Michael I. Miller, Joseph Walsh, David E. Kanter, 2000 .

Principal Component Based Diffeomorphic Surface Mapping

Michael I. Miller, Anqi Qiu, Laurent Younes, 2012, IEEE Transactions on Medical Imaging.

Segmentation of brain magnetic resonance images based on multi-atlas likelihood fusion: testing using data with a broad range of anatomical and photometric profiles

Xiaoying Tang, Michael I. Miller, Can Ceritoglu, 2015, Front. Neurosci..

Evidence of slow maturation of the superior longitudinal fasciculus in early childhood by diffusion tensor imaging

Hao Huang, Michael I. Miller, Alan C. Evans, 2007, NeuroImage.

Multispectral sensor fusion for ground-based target orientation estimation: FLIR, ladar, HRR

Jeffrey H. Shapiro, Michael I. Miller, Joseph A. O'Sullivan, 1999, Defense, Security, and Sensing.

Comparison of automated and manual segmentation of hippocampus MR images

Michael I. Miller, Gary E. Christensen, Michael W. Vannier, 1995, Medical Imaging.

The Euler-Lagrange Equation for Interpolating Sequence of Landmark Datasets

Alain Trouvé, Michael I. Miller, Mirza Faisal Beg, 2003, MICCAI.

Metric Space Structures for Computational Anatomy

Xiaoying Tang, Carey E. Priebe, Michael I. Miller, 2013, MLMI.

An MRI-based atlas and database of the developing mouse brain

Xin Xu, Arthur W. Toga, Michael I. Miller, 2011, NeuroImage.

Cortico-Cortical, Cortico-Striatal, and Cortico-Thalamic White Matter Fiber Tracts Generated in the Macaque Brain via Dynamic Programming

Michael I. Miller, Hangyi Jiang, Susumu Mori, 2013, Brain Connect..

A Memory Model for Real-time Common Sense Reasoning.

Donald Perlis, Michael I. Miller, J. Drapkin, 1986 .

DTI tractography based parcellation of white matter: Application to the mid-sagittal morphology of corpus callosum

Hao Huang, Michael I. Miller, Hangyi Jiang, 2005, NeuroImage.

A Diffeomorphic Approach to Multimodal Registration with Mutual Information: Applications to CLARITY Mouse Brain Images pdf

Michael I. Miller, Kwame S. Kutten, J. Tilak Ratnanather, 2016, ArXiv.

Maximum a posteriori estimation for SPECT using regularization techniques on massively-parallel computers

Michael I. Miller, Christopher S. Butler, 1991, Conference Record of the 1991 IEEE Nuclear Science Symposium and Medical Imaging Conference.

Iterative Bayesian method for segmenting images that have undergone a gray-level degradation

Michael I. Miller, Kurt R. Smith, 1992, Other Conferences.

A deformable neuroanatomy textbook based on viscous uid mechanics

Michael I. Miller, Gary E. Christensen, Richard D. Rabbitt, 1993 .

Joint Atlas-Mapping of Multiple Histological Series combined with Multimodal MRI of Whole Marmoset Brains

Michael I. Miller, Yan Fu, Partha P. Mitra, 2018, 1805.04975.

Combining anatomical manifold information via diffeomorphic metric mappings for studying cortical thinning of the cingulate gyrus in schizophrenia

Michael I. Miller, Anqi Qiu, J. Tilak Ratnanather, 2007, NeuroImage.

A comparison of random forest variable selection methods for classification prediction modeling

Michael I. Miller, Edward H. Ip, Jaime L. Speiser, 2019, Expert Syst. Appl..

Bayesian Construction of Geometrically Based Cortical Thickness Metrics

Michael I. Miller, J. Tilak Ratnanather, John G. Csernansky, 2000, NeuroImage.

Validation of Alternating Kernel Mixture Method Based Segmentation of the Human Brain

Carey E. Priebe, Michael I. Miller, J. Tilak Ratnanather, 2007, 2007 Frontiers in the Convergence of Bioscience and Information Technologies.

Infinitesimal Drift Diffeomorphometry Models for Population Shape Analysis

Alain Trouvé, Michael I. Miller, Daniel J. Tward, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Multiple target direction of arrival tracking

Michael I. Miller, Ulf Grenander, A. Srivastava, 1995, IEEE Trans. Signal Process..

Parametric Surface Diffeomorphometry for Low Dimensional Embeddings of Dense Segmentations and Imagery

Alain Trouvé, Michael I. Miller, Laurent Younes, 2017, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Smooth functional and structural maps on the neocortex via orthonormal bases of the Laplace-Beltrami operator

Michael I. Miller, Anqi Qiu, Dmitri Bitouk, 2006, IEEE Transactions on Medical Imaging.

An Estimation-Theoretic Approach For Imaging Diffuse Radar-Targets

Michael I. Miller, Joseph A. O'Sullivan, Donald L. Snyder, 1988, Optics & Photonics.

Atlas-guided tract reconstruction for automated and comprehensive examination of the white matter anatomy

Arthur W. Toga, Michael I. Miller, Alan C. Evans, 2010, NeuroImage.

Semi-automated segmentation of cortical subvolumes via hierarchical mixture modeling

Carey E. Priebe, Michael I. Miller, J. Tilak Ratnanather, 2003, SPIE Medical Imaging.

Change Point Estimation of the Hippocampal Volumes in Alzheimer's Disease

Xiaoying Tang, Michael I. Miller, Laurent Younes, 2016, 2016 13th Conference on Computer and Robot Vision (CRV).

Differential geometry of the cortical surface

Michael I. Miller, Ulf Grenander, Sarang C. Joshi, 1995, Optics & Photonics.

Large deviations for coding Markov chains and Gibbs random fields

Yali Amit, Michael I. Miller, Y. Amit, 1993, IEEE Trans. Inf. Theory.

Coarse-to-Fine Hamiltonian Dynamics of Hierarchical Flows in Computational Anatomy

Alain Trouvé, Michael I. Miller, Daniel J. Tward, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Estimating linear cortical magnification in human primary visual cortex via dynamic programming

Michael I. Miller, Anqi Qiu, Monica K. Hurdal, 2006, NeuroImage.

Large Deformation Diffeomorphic Metric Curve Mapping

Michael I. Miller, Anqi Qiu, Laurent Younes, 2008, International Journal of Computer Vision.

Applications of VCSELs for optical interconnects

Roger King, Michael I. Miller, Rainer Michalzik, 1998, 24th European Conference on Optical Communication. ECOC '98 (IEEE Cat. No.98TH8398).

A Fully-Automated Subcortical and Ventricular Shape Generation Pipeline Preserving Smoothness and Anatomical Topology

Xiaoying Tang, Michael I. Miller, Yuan Luo, 2018, Front. Neurosci..

Magnetic resonance imaging deformation-based segmentation of the hippocampus in patients with mesial temporal sclerosis and temporal lobe epilepsy

Michael I. Miller, Richard D. Bucholz, Lei Wang, 2000, Journal of Digital Imaging.

Single-mode VCSELs

Michael I. Miller, H. J. Unold, Rainer Michalzik, 2002, SPIE OPTO.

High-throughput neuro-imaging informatics

Michael I. Miller, Susumu Mori, Kenichi Oishi, 2013, Front. Neuroinform..

Diffeomorphic Upsampling of Serially Acquired Sparse 2D Cross-Sections in Cardiac MRI

Michael I. Miller, Daniel J. Tward, Robert G. Weiss, 2019, 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Improved Reproducibility of Neuroanatomical Definitions through Diffeomorphometry and Complexity Reduction

Alain Trouvé, Michael I. Miller, Giovanni B. Frisoni, 2014, MLMI.

An image registration pipeline for analysis of transsynaptic tracing in mice

Michael I. Miller, Kwame S. Kutten, J. Tilak Ratnanather, 2016, SPIE Medical Imaging.

Quadratic analysis of information measures for object recognition

Michael I. Miller, Anuj Srivastava, Matthew Cooper, 1999, Defense, Security, and Sensing.

Automatic target recognition organized via jump-diffusion algorithms

Joseph A. O'Sullivan, Michael I. Miller, Ulf Grenander, 1997, IEEE Trans. Image Process..

Multi-contrast large deformation diffeomorphic metric mapping for diffusion tensor imaging

Michael I. Miller, Can Ceritoglu, Susumu Mori, 2009, NeuroImage.

Performance of Image Matching in the Computational Anatomy Gateway: CPU and GPU Implementations in OpenCL

Michael I. Miller, Daniel Jacob Tward, Brian C. Lee, 2017, PEARC.

Segmenting magnetic resonance images via hierarchical mixture modelling

Carey E. Priebe, Michael I. Miller, J. Tilak Ratnanather, 2006, Comput. Stat. Data Anal..

Clutter invariant ATR

Michael I. Miller, Laurent Younes, Dmitri Bitouk, 2005, IEEE Transactions on Pattern Analysis and Machine Intelligence.

The new XCAT series of digital phantoms for multi-modality imaging

W. Paul Segars, Gregory M. Sturgeon, Michael I. Miller, 2010, IEEE Nuclear Science Symposuim & Medical Imaging Conference.

Evaluation of Cross-Protocol Stability of a Fully Automated Brain Multi-Atlas Parcellation Tool

Xiaoying Tang, Michael I. Miller, Xiaohai He, 2015, PloS one.

A model-Based Approach to Magnetic Resonance Image Estimation

Michael I. Miller, T. J. Schaewe, 1993, Proceedings. IEEE International Symposium on Information Theory.

Volumetric transformation of brain anatomy

Michael I. Miller, Gary E. Christensen, Sarang C. Joshi, 1997, IEEE Transactions on Medical Imaging.

Evolutions equations in computational anatomy

Michael I. Miller, Laurent Younes, Felipe Arrate, 2009, NeuroImage.

A Large Deformation Diffeomorphic Approach to Registration of CLARITY Images via Mutual Information

Jordan Matelsky, Michael I. Miller, Kwame S. Kutten, 2017, MICCAI.

Landmark matching via large deformation diffeomorphisms

Michael I. Miller, Sarang C. Joshi, M. Miller, 2000, IEEE Trans. Image Process..

Representations of thermodynamic variability in the automated understanding of FLIR scenes

Michael I. Miller, Aaron D. Lanterman, Donald L. Snyder, 1996, Defense, Security, and Sensing.

The use of maximum likelihood estimation for forming images of diffuse radar targets from delay-Doppler data

Joseph A. O'Sullivan, Michael I. Miller, Donald L. Snyder, 1989, IEEE Trans. Inf. Theory.

Multispectral active-passive sensor fusion for ground-based target orientation estimation

Jeffrey H. Shapiro, Michael I. Miller, Joseph A. O'Sullivan, 1998, Defense, Security, and Sensing.

Multi-structure network shape analysis via normal surface momentum maps

Michael I. Miller, Anqi Qiu, M. Miller, 2008, NeuroImage.

Abnormalities of hippocampal surface structure in very mild dementia of the Alzheimer type

Michael I. Miller, John G. Csernansky, J. Philip Miller, 2006, NeuroImage.

Northwestern University Schizophrenia Data and Software Tool (NUSDAST)

Alexander Kogan, Michael I. Miller, Lei Wang, 2013, Front. Neuroinform..

EM-LDDMM for 3D to 2D registration

Michael I. Miller, Daniel J. Tward, M. Miller, 2019, bioRxiv.

Parallel Transport in Diffeomorphisms Distinguishes the Time-dependent Pattern of Hippocampal Surface Deformation Due to Healthy Aging and the Dementia of the Alzheimer's Type

Michael I. Miller, Anqi Qiu, John G. Csernansky, 2007 .

Brain Segmentation and the Generation of Cortical Surfaces

Michael I. Miller, Jing Cui, Sarang Joshi, 1999, NeuroImage.

Mapping postnatal mouse brain development with diffusion tensor microimaging

Michael I. Miller, Susumu Mori, Peter C. M. van Zijl, 2005, NeuroImage.

Mapping of hyperelastic deformable templates using the finite element method

Michael I. Miller, Gary E. Christensen, Jeffrey A. Weiss, 1995, Optics & Photonics.

Diffeomorphic metric surface mapping in subregion of the superior temporal gyrus

Michael I. Miller, Anqi Qiu, Joan Alexis Glaunès, 2007, NeuroImage.

45% quantum-efficiency light-emitting diodes with radial outcoupling taper

Roger King, Michael I. Miller, Wolfgang Schmid, 2000, Photonics West - Optoelectronic Materials and Devices.

Rate-Distortion Theoretic Codebook Design for automatic Object Recognition

Michael I. Miller, Bixio Rimoldi, Eli Shusterman, 1998 .

Maximum-likelihood narrow-band direction finding and the EM algorithm

Michael I. Miller, Daniel R. Fuhrmann, M. Miller, 1990, IEEE Trans. Acoust. Speech Signal Process..

Accommodating geometric and thermodynamic variability for forward-looking infrared sensors

Michael I. Miller, Anuj Srivastava, Ulf Grenander, 1997, Defense, Security, and Sensing.

Image-Based Estimation of Ventricular Fiber Orientations for Personalized Modeling of Cardiac Electrophysiology

Michael I. Miller, Can Ceritoglu, Natalia A. Trayanova, 2012, IEEE Transactions on Medical Imaging.

Time sequence diffeomorphic metric mapping and parallel transport track time-dependent shape changes

Michael I. Miller, Anqi Qiu, Laurent Younes, 2009, NeuroImage.

Reflectivity models for radar target recognition

Michael I. Miller, Joseph A. O'Sullivan, Vincent C. Vannicola, 1993, Defense, Security, and Sensing.

Deformable templates using large deformation kinematics

Michael I. Miller, Gary E. Christensen, Richard D. Rabbitt, 1996, IEEE Trans. Image Process..

Stereotaxic white matter atlas based on diffusion tensor imaging in an ICBM template

Arthur W. Toga, Michael I. Miller, Alan C. Evans, 2008, NeuroImage.

Implementation of jump-diffusion algorithms for understanding FLIR scenes

Michael I. Miller, Donald L. Snyder, Aaron D. Lanterman, 1995, Defense, Security, and Sensing.

Resource atlases for multi-atlas brain segmentations with multiple ontology levels based on T1-weighted MRI

Michael I. Miller, Can Ceritoglu, Ting Ma, 2016, NeuroImage.

MRICloud: Delivering High-Throughput MRI Neuroinformatics as Cloud-Based Software as a Service

Dan Wu, Michael I. Miller, Yue Li, 2016, Computing in Science & Engineering.

Hilbert-Schmidt Lower Bounds for Estimators on Matrix Lie Groups for ATR

Michael I. Miller, Anuj Srivastava, Ulf Grenander, 1998, IEEE Trans. Pattern Anal. Mach. Intell..

Jump-diffusion processes for the automated understanding of FLIR scenes

Michael I. Miller, Donald L. Snyder, William J. Miceli, 1994, Defense, Security, and Sensing.

An Alternating Maximization Of The Entropy/Likelihood Function For Image Reconstruction And Spectrum Estimation

Michael I. Miller, Donald L. Snyder, 1986, Optics & Photonics.

Longitudinal characterization of brain atrophy of a Huntington's disease mouse model by automated morphological analyses of magnetic resonance images

Michael I. Miller, Qi Peng, Qing Li, 2010, NeuroImage.

General Metropolis-Hastings jump diffusions for automatic target recognition in infrared scenes

Michael I. Miller, Donald L. Snyder, Aaron D. Lanterman, 1997 .

Image-based estimation of ventricular fiber orientations for patient-specific simulations

Michael I. Miller, Can Ceritoglu, Natalia A. Trayanova, 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Parallel algorithms for maximum a posteriori estimation of spin density and spin-spin decay in magnetic resonance imaging

Michael I. Miller, Timothy J. Schaewe, T. J. Schaewe, 1995, IEEE Trans. Medical Imaging.

Estimation of pose and location of ground targets for ATR

Michael I. Miller, Anuj Srivastava, Marc Loizeaux, 1999, Defense, Security, and Sensing.

On the equivalence of regular grammars and stochastic constraints: applications to image processing on massively parallel processors

Michael I. Miller, Jan Tijmen Udding, Badrinath Roysam, 1991 .

3-D maximum a posteriori estimation for single photon emission computed tomography on massively-parallel computers

Michael I. Miller, Christopher S. Butler, M. Miller, 1993, IEEE Trans. Medical Imaging.

A Research Center in the Scientific Foundation of Image Representation and Analysis (CIS)

Michael I. Miller, 2001 .

Validation of Alternating Kernel Mixture Method: Application to Tissue Segmentation of Cortical and Subcortical Structures

Carey E. Priebe, Michael I. Miller, Nayoung A. Lee, 2008, Journal of biomedicine & biotechnology.

Special Issue on Mathematics in Brain Imaging

Paul M. Thompson, Jonathan E. Taylor, Russell A. Poldrack, 2009, NeuroImage.

Large deformation diffeomorphic metric mapping of fiber orientations

Michael I. Miller, Yan Cao, Laurent Younes, 2005, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.

Diffuse Abnormality of Low to Moderately Organized White Matter in Schizophrenia

Michael I. Miller, Susumu Mori, Peter C. M. van Zijl, 2011, Brain Connect..

Brain MRI Pattern Recognition Translated to Clinical Scenarios

Michael I. Miller, Susumu Mori, Zifei Liang, 2017, Front. Neurosci..

Rate-distortion theory applied to automatic object recognition

Michael I. Miller, Bixio Rimoldi, Eli Shusterman, 2000, IEEE Trans. Inf. Theory.

Regularized regression on compositional trees with application to MRI analysis

Michael I. Miller, Brian S. Caffo, Xi Luo, 2021, Journal of the Royal Statistical Society. Series C, Applied statistics.

From Picoscale Pathology to Decascale Disease: Image Registration with a Scattering Transform and Varifolds for Manipulating Multiscale Data

Michael I. Miller, Daniel J. Tward, Zhenzhen Wang, 2021, ML-CDS@MICCAI.

Hidden Markov Modeling for Maximum Likelihood Neuron Reconstruction pdf

Michael I. Miller, Thomas L. Athey, Daniel Tward, 2021, ArXiv.

Multi scale diffeomorphic metric mapping of spatial transcriptomics datasets

Michael I. Miller, Daniel Jacob Tward, Jean Fan, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Fitting Splines to Axonal Arbors Quantifies Relationship Between Branch Order and Geometry

Michael I. Miller, Joshua T. Vogelstein, Thomas L. Athey, 2021, Frontiers in Neuroinformatics.

Identifying brain hierarchical structures associated with Alzheimer's disease using a regularized regression method with tree predictors

Michael I. Miller, Brian S. Caffo, Xi Luo, 2021, Biometrics.

Comparisons between human and macaque using shape-based deformation algorithms applied to cortical flat maps

Michael I. Miller, Sarang Joshi, Heather A. Drury, 1997 .

Education is associated with sub-regions of the hippocampus and the amygdala vulnerable to neuropathologies of Alzheimer’s disease

Xiaoying Tang, Michael I. Miller, Vijay R. Varma, 2017, Brain Structure and Function.

Statistical Analysis of Twin Populations using Dissimilarity Measurements in Hippocampus Shape Space

Carey E. Priebe, Michael I. Miller, Kelly N. Botteron, 2008, Journal of biomedicine & biotechnology.

Regional Shape Abnormalities in Mild Cognitive Impairment and Alzheimer's Disease

Anders M. Dale, Michael I. Miller, Anqi Qiu, 2009, NeuroImage.

Amygdalar atrophy in symptomatic Alzheimer's disease based on diffeomorphometry: the BIOCARD cohort

Michael I. Miller, Susumu Mori, J. Tilak Ratnanather, 2015, Neurobiology of Aging.

Validation of semiautomated methods for quantifying cingulate cortical metrics in schizophrenia

Michael I. Miller, Lei Wang, J. Tilak Ratnanather, 2004, Psychiatry Research: Neuroimaging.

Identifying Changepoints in Biomarkers During the Preclinical Phase of Alzheimer’s Disease

Michael I. Miller, Laurent Younes, Abhay Moghekar, 2019, Front. Aging Neurosci..

Cingulate gyrus neuroanatomy in schizophrenia subjects and their non-psychotic siblings

Michael I. Miller, Lei Wang, J. Tilak Ratnanather, 2008, Schizophrenia Research.

Hippocampal shape abnormalities in early AD: A replication study

Michael I. Miller, John G. Csernansky, J. Philip Miller, 2005, Alzheimer's & Dementia.

Cognitive reserve and long-term change in cognition in aging and preclinical Alzheimer's disease

Michael I. Miller, Abhay Moghekar, Marilyn Albert, 2017, Neurobiology of Aging.

Amygdala Volume Analysis in Female Twins with Major Depression

Michael I. Miller, J. Tilak Ratnanather, Kelly N. Botteron, 2007, Biological Psychiatry.

Basal Ganglia Shape Abnormalities in the Unaffected Siblings of Schizophrenia Patients

Michael I. Miller, Lei Wang, John G. Csernansky, 2008, Biological Psychiatry.

Plasma ceramides are altered in mild cognitive impairment and predict cognitive decline and hippocampal volume loss

Michael I. Miller, Can Ceritoglu, Constantine G. Lyketsos, 2010, Alzheimer's & Dementia.

Population-averaged macaque brain atlas with high-resolution ex vivo DTI integrated into in vivo space

Qinmu Peng, Michael I. Miller, Virendra Mishra, 2017, Brain Structure and Function.

Structural abnormalities in gyri of the prefrontal cortex in individuals with schizophrenia and their unaffected siblings

Michael I. Miller, Lei Wang, J. Tilak Ratnanather, 2010, British Journal of Psychiatry.

Multi-atlas based detection and localization (MADL) for location-dependent quantification of white matter hyperintensities

Michael I. Miller, Susumu Mori, Kenichi Oishi, 2019, NeuroImage: Clinical.

Cortical thickness atrophy in the transentorhinal cortex in mild cognitive impairment

Michael I. Miller, J. Tilak Ratnanather, Laurent Younes, 2018, NeuroImage: Clinical.

Abnormalities of cingulate gyrus neuroanatomy in schizophrenia

Michael I. Miller, Lei Wang, Anqi Qiu, 2007, Schizophrenia Research.

Response control correlates of anomalous basal ganglia morphology in boys, but not girls, with attention-deficit/hyperactivity disorder

Xiaoying Tang, Michael I. Miller, Stewart H. Mostofsky, 2019, Behavioural Brain Research.

Progressive Deformation of Deep Brain Nuclei and Hippocampal-Amygdala Formation in Schizophrenia

Michael I. Miller, Lei Wang, John G. Csernansky, 2008, Biological Psychiatry.

Title The diffeomorphometry of regional shape change rates and its relevance to cognitive deterioration in mild cognitive impairment and Alzheimer ' s disease Permalink

Anders M. Dale, Xiaoying Tang, Michael I. Miller, 2015 .

Anomalous subcortical morphology in boys, but not girls, with ADHD compared to typically developing controls and correlates with emotion dysregulation

Xiaoying Tang, Michael I. Miller, Stewart H. Mostofsky, 2017, Psychiatry Research: Neuroimaging.

Morphometry of the amygdala in schizophrenia and psychotic bipolar disorder

Michael I. Miller, J. Tilak Ratnanather, Laurent Younes, 2015, Schizophrenia Research.

Network Neurodegeneration in Alzheimer’s Disease via MRI Based Shape Diffeomorphometry and High-Field Atlasing

Michael I. Miller, Susumu Mori, J. Tilak Ratnanather, 2015, Front. Bioeng. Biotechnol..

Multi-Contrast Multi-Atlas Parcellation of Diffusion Tensor Imaging of the Human Brain

Xiaoying Tang, Michael I. Miller, Yue Li, 2014, PloS one.

Shape and diffusion tensor imaging based integrative analysis of the hippocampus and the amygdala in Alzheimer's disease.

Xiaoying Tang, Michael I. Miller, Min Zhang, 2016, Magnetic resonance imaging.

Fornix integrity and hippocampal volume predict memory decline and progression to Alzheimer’s disease

Michael I. Miller, Can Ceritoglu, Susumu Mori, 2012, Alzheimer's & Dementia.

Computational Method for Identifying and Quantifying Shape Features of Human Left Ventricular Remodeling

Michael I. Miller, Robert G. Weiss, Katherine C. Wu, 2009, Annals of Biomedical Engineering.

Novel automated morphometric and kinematic handwriting assessment: A validity study in children with ASD and ADHD

Michael I. Miller, Mary Beth Nebel, Laurent Younes, 2017 .

Linking white matter and deep gray matter alterations in premanifest Huntington disease

Michael I. Miller, J. Tilak Ratnanather, Laurent Younes, 2016, NeuroImage: Clinical.

The CardioVascular Research Grid ( CVRG ) Project

Michael I. Miller, Ian Foster, Donald Geman, 2012 .

Elucidation of White Matter Tracts of the Human Amygdala by Detailed Comparison between High-Resolution Postmortem Magnetic Resonance Imaging and Histology

Michael I. Miller, Susumu Mori, Manisha Aggarwal, 2017, Front. Neuroanat..

Automated Generation of Radiologic Descriptions on Brain Volume Changes From T1-Weighted MR Images: Initial Assessment of Feasibility

Michael I. Miller, Yue Li, Susumu Mori, 2019, Front. Neurol..

Multi-Modal MRI Analysis with Disease-Specific Spatial Filtering: Initial Testing to Predict Mild Cognitive Impairment Patients Who Convert to Alzheimer’s Disease

Michael I. Miller, Hangyi Jiang, Can Ceritoglu, 2011, Front. Neur..