James C. Gee

发表

Cerebral cortical folding analysis with multivariate modeling and testing: Studies on gender differences and neonatal development

Suyash P. Awate, Paul A. Yushkevich, Zhuang Song, 2010, NeuroImage.

Parametric Medial Shape Representation in 3-D via the Poisson Partial Differential Equation with Non-linear Boundary Conditions

Paul A. Yushkevich, James C. Gee, Hui Zhang, 2005, IPMI.

Registration patterns: the generic framework for image registration of the insight toolkit

James C. Gee, Luis Ibáñez, Lydia Ng, 2002, Proceedings IEEE International Symposium on Biomedical Imaging.

Topological Repairing of 3D Digital Images

James C. Gee, Longin Jan Latecki, Nicholas J. Tustison, 2008, Journal of Mathematical Imaging and Vision.

Measuring sparse temporal-variation for accurate registration of dynamic contrast-enhanced breast MR images

James C. Gee, Yuanjie Zheng, Hui Liu, 2015, Comput. Medical Imaging Graph..

Sexual Dimorphism in the Corpus Callosum: A Characterization of Local Size Variations and a Classification Driven Approach to Morphometry

James C. Gee, David J. Pettey, J. Gee, 2002, NeuroImage.

Fusing Functional Signals by Sparse Canonical Correlation Analysis Improves Network Reproducibility

Brian B. Avants, James C. Gee, John A. Detre, 2013, MICCAI.

Building an atlas of hippocampal subfields using postmortem MRI

Brian B. Avants, Paul A. Yushkevich, James C. Gee, 2008, 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Segmentation of cerebral MRI scans using a partial volume model, shading correction, and an anatomical prior

James C. Gee, Stanislav Kovacic, Aljaz Noe, 2001, SPIE Medical Imaging.

Exploratory Factor Analysis in Morphometry

Mario Fernando Montenegro Campos, James C. Gee, Alexei Manso Corrêa Machado, 1999, MICCAI.

Lagrangian frame diffeomorphic image registration: Morphometric comparison of human and chimpanzee cortex

Brian B. Avants, James C. Gee, P. Thomas Schoenemann, 2006, Medical Image Anal..

A Nonconservative Lagrangian Framework for Statistical Fluid Registration—SAFIRA

Paul M. Thompson, James C. Gee, Natasha Lepore, 2011, IEEE Transactions on Medical Imaging.

Topological Well-Composedness and Glamorous Glue: A Digital Gluing Algorithm for Topologically Constrained Front Propagation

Brian B. Avants, James C. Gee, Nicholas J. Tustison, 2011, IEEE Transactions on Image Processing.

Bayesian network interface for assisting radiology interpretation and education

James C. Gee, Ilya M. Nasrallah, R. Nick Bryan, 2018, Medical Imaging.

User-guided 3D active contour segmentation of anatomical structures: Significantly improved efficiency and reliability

Guido Gerig, Paul A. Yushkevich, James C. Gee, 2006, NeuroImage.

Pulmonary nodule detection in CT images with quantized convergence index filter

James C. Gee, Sumiaki Matsumoto, Harold L. Kundel, 2006, Medical Image Anal..

Interpretable Identification of Interstitial Lung Disease (ILD) Associated Findings from CT

James C. Gee, Yifan Wu, Tarmily Wen, 2020, MICCAI.

Shape Decomposition of Foveal Pit Morphology Using Scan Geometry Corrected OCT

James C. Gee, Min Chen, Jessica I. W. Morgan, 2019, OMIA@MICCAI.

Sparse Unbiased Analysis of Anatomical Variance in Longitudinal Imaging

Brian B. Avants, James C. Gee, Yuanjie Zheng, 2010, MICCAI.

Registration of diffusion tensor images

Paul A. Yushkevich, James C. Gee, Hui Zhang, 2004, Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004..

Structure-specific statistical mapping of white matter tracts

Paul A. Yushkevich, James C. Gee, Hui Zhang, 2007, NeuroImage.

Reproducibility of graph metrics of human brain structural networks

James C. Gee, Philip A. Cook, Jeffrey T. Duda, 2014, Front. Neuroinform..

Atlas warping for brain morphometry

James C. Gee, Alexei Manso Corrêa Machado, J. Gee, 1998, Medical Imaging.

Structure-Specific Statistical Mapping of White Matter Tracts using the Continuous Medial Representation

Paul A. Yushkevich, James C. Gee, Hui Zhang, 2007, ICCV.

Optic Disc and Cup Segmentation from Color Fundus Photograph Using Graph Cut with Priors

James C. Gee, Yuanjie Zheng, Dwight Stambolian, 2013, MICCAI.

A New Algorithm for Generating Quadrilateral Meshes and its Application to FE-Based Image Registration

James C. Gee, Marcelo Siqueira, Jean H. Gallier, 2003, IMR.

Single-Subject Structural Networks with Closed-Form Rotation Invariant Matching Improve Power in Developmental Studies of the Cortex

Brian B. Avants, James C. Gee, Danny J. J. Wang, 2014, MICCAI.

A Generalization of Free-Form Deformation Image Registration Within the ITK Finite Element Framework

Brian B. Avants, James C. Gee, Nicholas J. Tustison, 2006, WBIR.

Unbiased Diffeomorphic Shape and Intensity Atlas Creation: Application to Canine Brain

James C. Gee, Geoffrey K. Aguirre, Bb Avants, 2005 .

Shape Characterization of the Corpus Callosum in Schizophrenia Using Template Deformation

Brian B. Avants, James C. Gee, Ruben C. Gur, 2002, MICCAI.

Biomedical Image Registration: Second International Workshop, WBIR 2003, Philadelphia, PA, USA, June 23-24, 2003, Revised Papers

James C. Gee, Michael W. Vannier, J. B. Antoine Maintz, 2003 .

A Blockchain-based Architecture Framework for Secure Sharing of Personal Health Data

Qi Xia, James C. Gee, Jianbin Gao, 2018, 2018 IEEE 20th International Conference on e-Health Networking, Applications and Services (Healthcom).

Registration and atlas building

James C. Gee, R. Nick Bryan, J. Gee, 2001 .

A Dynamic Model of Average Lung Deformation Using Capacity-Based Reparameterization and Shape Averaging of Lung MR Images

Brian B. Avants, James C. Gee, Tessa A. Sundaram, 2004, MICCAI.

Likelihood estimation in image warping

James C. Gee, Mario F. M. Campos, Alexei Manso Corrêa Machado, 1999, Medical Imaging.

Formulation and Evaluation of Variational Curve Matching with Prior Constraints

Brian B. Avants, James C. Gee, 2003, WBIR.

User Interface Design for Medical Imaging Workstations: Image Display and Processing

James C. Gee, Woodrow Barfield, Yongmin Kim, 1993, Interact. Comput..

Advances in elastic matching theory and its implementation

Ruzena Bajcsy, James C. Gee, David R. Haynor, 1997, CVRMed.

Registration based cortical thickness measurement

Brian B. Avants, James C. Gee, Murray Grossman, 2009, NeuroImage.

Landmark Matching Based Automatic Retinal Image Registration with Linear Programming and Self-similarities

James C. Gee, Yuanjie Zheng, Hongzhi Wang, 2011, IPMI.

Resolving sentence ambiguity with planning and working memory resources: Evidence from fMRI

James C. Gee, Murray Grossman, Vanessa Troiani, 2007, NeuroImage.

Tensor scale-based image registration

Jayaram K. Udupa, James C. Gee, Punam K. Saha, 2003, SPIE Medical Imaging.

Subject-specific functional parcellation via Prior Based Eigenanatomy

Brian B. Avants, James C. Gee, Lyle H. Ungar, 2014, NeuroImage.

Cardiac Medial Modeling and Time-Course Heart Wall Thickness Analysis

Alejandro F. Frangi, Brian B. Avants, Paul A. Yushkevich, 2008, MICCAI.

Probabilistic Time Context Framework for Big Data Collaborative Recommendation

Rajesh Kumar, James C. Gee, Riaz Ullah Khan, 2018, ICCAI 2018.

Strategies for Data Reorientation during Non-rigid Warps of Diffusion Tensor Images

Ruzena Bajcsy, James C. Gee, Daniel C. Alexander, 1999, MICCAI.

Partial Volume Segmentation of Cerebral MRI Scans with Mixture Model Clustering

James C. Gee, Aljaz Noe, J. Gee, 2001, IPMI.

A framework for craniofacial surgery simulation based on pre-specified target face configurations

James C. Gee, Jie Yang, Sheng-Zheng Wang, 2009, 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Characterization of Brain Plasticity in Schizophrenia Using Template Deformation

James C. Gee, Ruben C. Gur, Raquel E. Gur, 2003, MICCAI.

The design analysis of a medical imaging workstation

James C. Gee, Woodrow Barfield, David R. Haynor, 1989 .

Adaptive graph cuts with tissue priors for brain MRI segmentation

Brian B. Avants, Zhuang Song, James C. Gee, 2006, 3rd IEEE International Symposium on Biomedical Imaging: Nano to Macro, 2006..

Transformation of and similarity measures for diffusion tensor MRIs

Ruzena Bajcsy, James C. Gee, Daniel C. Alexander, 1999 .

Atlas-guided probabilistic diffusion-tensor fiber tractography

Suyash P. Awate, James C. Gee, Hui Zhang, 2008, 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Ruzena Bajcsy, James C. Gee, Daniel C. Alexander, 1999, BMVC.

Editorial

James C. Gee, J. B. Antoine Maintz, J. Gee, 2006, Medical Image Anal..

Techniques for spatial normalization of diffusion tensor images

James C. Gee, Carlo Pierpaoli, Daniel C. Alexander, 2000, Medical Imaging: Image Processing.

Hybird Single-Multiple Frame Super-Resolution Reconstruction of Video Face Image

James C. Gee, Jianbin Gao, Huan Tang, 2019, ICIG.

Spatially Informed CNN for Automated Cone Detection in Adaptive Optics Retinal Images

James C. Gee, Min Chen, Jessica I. W. Morgan, 2020, 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI).

A method for non-rigid registration of diffusion tensor magnetic resonance images

James C. Gee, Mariano Rivera, Daniel C. Alexander, 2003, SPIE Medical Imaging.

Proceedings of the 23rd International Conference on Information Processing in Medical Imaging, June 28-July 3, 2013, Asilomar, CA.

James C. Gee, Kilian M. Pohl, William M. Wells, 2013, Information processing in medical imaging : proceedings of the ... conference.

Statistical bias in optimized VBM

Brian B. Avants, James C. Gee, Nicholas J. Tustison, 2013, Medical Imaging.

A Unified Image Registration Framework for ITK

Brian B. Avants, James C. Gee, Gang Song, 2012, WBIR.

Relating Structural and Functional Connectivity to Performance in a Communication Task

James C. Gee, Jeffrey T. Duda, Murray Grossman, 2010, MICCAI.

Nonparametric Markov priors for tissue segmentation

Suyash P. Awate, Zhuang Song, James C. Gee, 2008, 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Regional Structural Characterization of the Brain of Schizophrenia Patients

Paul A. Yushkevich, James C. Gee, Ruben C. Gur, 2004, MICCAI.

Quantitative analysis of cerebral images using an elastically deformable atlas: theory and validation

Ruzena Bajcsy, James C. Gee, Martin Reivich, 1992, Medical Imaging.

Multivariate examination of brain abnormality using both structural and functional MRI

Dinggang Shen, Brian B. Avants, James C. Gee, 2007, NeuroImage.

Plasticity of the Human Visual Pathways Formed by Ocular Gene Therapy

James C. Gee, Philip A. Cook, Hui Zhang, 2014 .

Automatic segmentation of canine retinal OCT using adaptive gradient enhancement and region growing

Min Chen, Hui Liu, James C. Gee, 2016, SPIE Medical Imaging.

Characterization of Regional Pulmonary Mechanics from Serial MRI Data

James C. Gee, Hiroto Hatabu, Tessa A. Sundaram, 2002, MICCAI.

Adaptive Multi-cluster Fuzzy C-Means Segmentation of Breast Parenchymal Tissue in Digital Mammography

Yan Wang, James C. Gee, Yuanjie Zheng, 2011, MICCAI.

PULMONARY KINEMATICS FROM HYPERPOLARIZED HELIUM-3 TAGGED MAGNETIC RESONANCE IMAGING

Jing Cai, James C. Gee, Nicholas J. Tustison, 2007, 2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Anatomically-Constrained PCA for Image Parcellation

Brian B. Avants, James C. Gee, Lyle H. Ungar, 2013, 2013 International Workshop on Pattern Recognition in Neuroimaging.

Correlation between Topological Descriptors of the Breast Ductal Network from Clinical Galactograms and Texture Features of Corresponding Mammograms

James C. Gee, Yuanjie Zheng, Vasileios Megalooikonomou, 2014, Digital Mammography / IWDM.

Statistical Modeling of Shape and Appearance Using the Continuous Medial Representation

Paul A. Yushkevich, James C. Gee, Hui Zhang, 2005, MICCAI.

Cellular anatomy of the mouse primary motor cortex

Liya Ding, Xu Li, Yun Wang, 2020, Nature.

Method for Estimating the Intensity Mapping between MRI Images

Mario Fernando Montenegro Campos, James C. Gee, Alexei Manso Corrêa Machado, 1999, IPMI.

Robust regularization for the estimation of intra-voxel axon fiber orientations

Mariano Rivera, James C. Gee, Hui Zhang, 2008, 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops.

Partial sparse canonical correlation analysis (PSCCA) for population studies in medical imaging

Brian B. Avants, James C. Gee, Lyle H. Ungar, 2012, 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI).

Cube Analyzer - A Medical Image Analysis Program

Howie Choset, Ruzena Bajcsy, James C. Gee, 1988 .

Toward Automated Alignment of Longitudinally-Acquired Adaptive Optics Retinal Images: Constellation Features

Min Chen, James C. Gee, David H. Brainard, 2018 .

Multiscale analysis revisited: Detection of drusen and vessel in digital retinal images

James C. Gee, Yuanjie Zheng, Hongzhi Wang, 2011, 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Symmetric Geodesic Shape Averaging and Shape Interpolation

Brian B. Avants, James C. Gee, J. Gee, 2004, ECCV Workshops CVAMIA and MMBIA.

Landmark matching based retinal image alignment by enforcing sparsity in correspondence matrix

James C. Gee, Yuanjie Zheng, Hongsheng Li, 2014, Medical Image Anal..

Continuous Curve Matching with Scale-Space Curvature and Extrema-Based Scale Selection

Brian B. Avants, James C. Gee, J. Gee, 2003, Scale-Space.

Robust rotations between anatomical curves

Brian B. Avants, James C. Gee, J. Gee, 2002, Proceedings IEEE International Symposium on Biomedical Imaging.

A Phantom Study for Assessing the Effect of Different Digital Detectors on Mammographic Texture Features

Yan Wang, James C. Gee, Yuanjie Zheng, 2012, Digital Mammography / IWDM.

3D Mouse Brain Reconstruction from Histology Using a Coarse-to-Fine Approach

Brian B. Avants, Paul A. Yushkevich, James C. Gee, 2006, WBIR.

Novel spatial interaction prior for Bayesian image segmentation and restoration

James C. Gee, Mariano Rivera, 2002, SPIE Medical Imaging.

Denoising Intra-voxel Axon Fiber Orientations by Means of ECQMMF Method

James C. Gee, Mariano Rivera, Alonso Ramirez-Manzanares, 2009, MICAI.

Directly Manipulated Free-Form Deformation Image Registration

Brian B. Avants, James C. Gee, Nicholas J. Tustison, 2009, IEEE Transactions on Image Processing.

Continuous Medial Representation for Anatomical Structures

Paul A. Yushkevich, James C. Gee, Hui Zhang, 2006, IEEE Transactions on Medical Imaging.

Interpretable Multimodality Embedding Of Cerebral Cortex Using Attention Graph Network For Identifying Bipolar Disorder

James C. Gee, Yifan Wu, John S. Duncan, 2019, bioRxiv.

A New Information-Theoretic Measure to Control the Robustness-Sensitivity Trade-Off for DMFFD Point-Set Registration

Suyash P. Awate, James C. Gee, Gang Song, 2009, IPMI.

Towards a model of lung biomechanics: pulmonary kinematics via registration of serial lung images

James C. Gee, Tessa A. Sundaram, J. Gee, 2005, Medical Image Anal..

Design of a Statistical Model of Brain Shape

James C. Gee, Lionel Le Briquer, 1997, IPMI.

Deformable registration of diffusion tensor MR images with explicit orientation optimization

Paul A. Yushkevich, James C. Gee, Hui Zhang, 2006, Medical Image Anal..

Structural shape characterization via exploratory factor analysis

Mario Fernando Montenegro Campos, James C. Gee, Alexei Manso Corrêa Machado, 2004, Artif. Intell. Medicine.

Unbiased White Matter Atlas Construction Using Diffusion Tensor Images

Daniel Rueckert, Paul A. Yushkevich, James C. Gee, 2007, MICCAI.

Shape averaging with diffeomorphic flows for atlas creation

Brian B. Avants, James C. Gee, 2004, 2004 2nd IEEE International Symposium on Biomedical Imaging: Nano to Macro (IEEE Cat No. 04EX821).

Evaluation of volume-based and surface-based brain image registration methods

Satrajit S. Ghosh, Arno Klein, Brian B. Avants, 2010, NeuroImage.

Cranio-maxillofacial surgery simulation based on pre-specified target face configurations

James C. Gee, Jie Yang, Sheng-Zheng Wang, 2010, Journal of Zhejiang University SCIENCE C.

Towards diffusion profile image registration

Paul A. Yushkevich, James C. Gee, Hui Zhang, 2004, 2004 2nd IEEE International Symposium on Biomedical Imaging: Nano to Macro (IEEE Cat No. 04EX821).

Diffusion-Tensor Image Registration

James C. Gee, Daniel C. Alexander, J. Gee, 2006, Visualization and Processing of Tensor Fields.

An algorithm for preservation of orientation during non-rigid warps of DT-MR images

James C. Gee, Daniel C. Alexander, Peter J. Basser, 2001 .

Symmetric diffeomorphic image registration with cross-correlation: Evaluating automated labeling of elderly and neurodegenerative brain

Brian B. Avants, James C. Gee, Charles L. Epstein, 2008, Medical Image Anal..

User Interface Design for a Radiological Imaging Workstation

James C. Gee, Yongmin Kim, David R. Haynor, 1989, Medical Imaging.

Generalized n-D Ck B-Spline Scattered Data Approximation with Confidence Values

James C. Gee, Nicholas J. Tustison, J. Gee, 2006, MIAR.

Early parental care is important for hippocampal maturation: Evidence from brain morphology in humans

Brian B. Avants, James C. Gee, John A. Detre, 2010, NeuroImage.

Tensor-Based Morphometry of Fibrous Structures with Application to Human Brain White Matter

Daniel Rueckert, Paul A. Yushkevich, James C. Gee, 2009, MICCAI.

Gender Differences in Cerebral Cortical Folding: Multivariate Complexity-Shape Analysis with Insights into Handling Brain-Volume Differences

Suyash P. Awate, Paul A. Yushkevich, Daniel J. Licht, 2009, MICCAI.

Evaluation of Registration Methods on Thoracic CT: The EMPIRE10 Challenge

Brian B. Avants, D. Louis Collins, Nikos Paragios, 2011, IEEE Transactions on Medical Imaging.

Finite element approach to warping of brain images

James C. Gee, David R. Haynor, Ruzena K. Bajcsy, 1994, Medical Imaging.

Hippocampus-Specific fMRI Group Activation Analysis with Continuous M-Reps

Paul A. Yushkevich, James C. Gee, John A. Detre, 2006, MICCAI.

Digital Brain Atlases for Biomedicine

James C. Gee, 2008 .

Using Region Trajectories to Construct an Accurate and Efficient Polyaffine Transform Model

Brian B. Avants, Yang Liu, James C. Gee, 2013, IPMI.

Computing Match Functions for Curves in R2 and R3 by Refining Polyline Approximations

Brian B. Avants, James C. Gee, Marcelo Siqueira, 2001, MICCAI.

Efficient Generation of Shape-Based Reference Frames for the Corpus Callosum for DTI-based Connectivity Analysis

Paul A. Yushkevich, James C. Gee, Hui Sun, 2006, 2006 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'06).

Multivariate modeling using quantitative CT metrics may improve accuracy of diagnosis of bronchiolitis obliterans syndrome after lung transplantation

James C. Gee, Nicholas J. Tustison, J. C. Lee, 2017, Comput. Biol. Medicine.

Multivariate analysis of thalamo-cortical connectivity loss in TBI

Brian B. Avants, James C. Gee, Hui Zhang, 2008, 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops.

An Open Source Multivariate Framework for n-Tissue Segmentation with Evaluation on Public Data

Brian B. Avants, James C. Gee, Nicholas J. Tustison, 2011, Neuroinformatics.

Geodesic Image Interpolation: Parameterizing and Interpolating Spatiotemporal Images

Brian B. Avants, James C. Gee, Charles L. Epstein, 2005, VLSM.

Optimal Symmetric Multimodal Templates and Concatenated Random Forests for Supervised Brain Tumor Segmentation (Simplified) with ANTsR

Brian B. Avants, James C. Gee, Nicholas J. Tustison, 2014, Neuroinformatics.

Spatiotemporal Normalization for Longitudinal Analysis of Gray Matter Atrophy in Frontotemporal Dementia

Brian B. Avants, James C. Gee, Murray Grossman, 2007, MICCAI.

Automated Quantification of Morphologic Features and Vasculature of Choroid on Enhanced Depth Imaging Optical Coherence Tomography (EDI-OCT)

James C. Gee, Yuanjie Zheng, Purak C. Parikh, 2016 .

Multi-start Method with Prior Learning for Image Registration

Brian B. Avants, James C. Gee, Gang Song, 2007, 2007 IEEE 11th International Conference on Computer Vision.

Deformable Registration of Diffusion Tensor MR Images with Explicit Orientation Optimization

Paul A. Yushkevich, James C. Gee, Hui Zhang, 2005, MICCAI.

Cortical parcellation for neonatal brains

Brian B. Avants, James C. Gee, Jue Wu, 2014, 2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI).

Guest Editorial: Special Section on Model-based Medical Image Processing and Analysis

James C. Gee, Mostafa Analoui, 2003, J. Electronic Imaging.

Method for quantitative assessment of atherosclerotic lesion burden on the basis of high-resolution black-blood MRI

James C. Gee, Felix W. Wehrli, Jeffrey T. Duda, 2002, SPIE Medical Imaging.

Predicting Cognitive Data from Medical Images Using Sparse Linear Regression

Brian B. Avants, James C. Gee, Benjamin M. Kandel, 2013, IPMI.

The Shape Operator for Differential Analysis of Images

Brian B. Avants, James C. Gee, J. Gee, 2003, IPMI.

Transfer Learning Approach to Predict Biopsy-Confirmed Malignancy of Lung Nodules from Imaging Data: A Pilot Study

James C. Gee, Jiancong Wang, William Lindsay, 2018, RAMBO+BIA+TIA@MICCAI.

Texture feature standardization in digital mammography for improving generalizability across devices

Yan Wang, James C. Gee, Yuanjie Zheng, 2013, Medical Imaging.

Matching structural images of the human brain using statistical and geometrical image features

Ruzena Bajcsy, James C. Gee, Christian Barillot, 1994, Other Conferences.

SYMMETRIC SHAPE AVERAGING IN THE DIFFEOMORPHIC SPACE

Brian B. Avants, James C. Gee, Charles L. Epstein, 2007, 2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Using Voxel-Based Morphometry to Examine Atrophy-Behavior Correlates in Alzheimer's Disease and Frontotemporal Dementia

James C. Gee, Murray Grossman, Michael P. Lin, 2002, MICCAI.

Bayesian model for intensity mapping in magnetic resonance image registration

Mario Fernando Montenegro Campos, James C. Gee, Alexei Manso Corrêa Machado, 2003, J. Electronic Imaging.

2D Modeling and Correction of Fan-Beam Scan Geometry in OCT

Min Chen, Jerry L. Prince, James C. Gee, 2018, COMPAY/OMIA@MICCAI.

Multivariate Normalization with Symmetric Diffeomorphisms for Multivariate Studies

Brian B. Avants, James C. Gee, Hui Zhang, 2007, MICCAI.

Effect of spatial normalization on analysis of functional data

James C. Gee, David C. Alsop, Geoffrey K. Aguirre, 1997, Medical Imaging.

On matching brain volumes

James C. Gee, J. Gee, 1999, Pattern Recognit..

Optical flow based method for non-rigid registration of diffusion tensor magnetic resonance images

James C. Gee, Mariano Rivera, Daniel C. Alexander, 2003 .

Exploratory and confirmatory factor analysis in morphometry

James C. Gee, Mario F. M. Campos, Alexei Manso Corrêa Machado, 2000, Medical Imaging: Image Processing.

Elastic matching of diffusion tensor MRIs

Ruzena Bajcsy, James C. Gee, Daniel C. Alexander, 1999, Proceedings. 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No PR00149).

Spatial correspondence based asymmetry analysis in FMRI

Brian B. Avants, Paul A. Yushkevich, James C. Gee, 2008, 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

A semi-automated solution for increasing the reliability of manually defined visual area boundaries

Brian B. Avants, James C. Gee, David H. Brainard, 2010 .

A Fuzzy, Nonparametric Segmentation Framework for DTI and MRI Analysis: With Applications to DTI-Tract Extraction

Suyash P. Awate, James C. Gee, J. Gee, 2007, IEEE Transactions on Medical Imaging.

Erratum to “Resolving sentence ambiguity with planning and working memory resources: Evidence from fMRI” [NeuroImage 37 (2007) 361–378]

James C. Gee, Murray Grossman, Vanessa Troiani, 2008, NeuroImage.

Automatic Correction of Intensity Nonuniformity from Sparseness of Gradient Distribution in Medical Images

Suyash P. Awate, James C. Gee, Yuanjie Zheng, 2009, MICCAI.

Towards a Dynamic Model of Pulmonary Parenchymal Deformation: Evaluation of Methods for Temporal Reparameterization of Lung Data

Brian B. Avants, James C. Gee, Tessa A. Sundaram, 2005, MICCAI.

Multivariate segmentation of brain tissues by fusion of MRI and DTI data

Suyash P. Awate, James C. Gee, Hui Zhang, 2008, 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Estimation of image bias field with sparsity constraints

James C. Gee, Yuanjie Zheng, Yuanjie Zheng, 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

Evaluation of Shape-Based Normalization in the Corpus Callosum for White Matter Connectivity Analysis

Paul A. Yushkevich, James C. Gee, Hui Sun, 2007, MICCAI.

A fully-automated software pipeline for integrating breast density and parenchymal texture analysis for digital mammograms: parameter optimization in a case-control breast cancer risk assessment study

Yan Wang, James C. Gee, Yuanjie Zheng, 2013, Medical Imaging.

Multivariate High-Dimensional Cortical Folding Analysis, Combining Complexity and Shape, in Neonates with Congenital Heart Disease

Suyash P. Awate, Paul A. Yushkevich, Zhuang Song, 2009, IPMI.

Two algorithms for non-rigid image registration and their evaluation

James C. Gee, Lydia Ng, Zhiyong Xie, 2003, SPIE Medical Imaging.

Aligning Automatically Sequential Spectral Slices from Multispectral Imaging (MSI) of Retina

James C. Gee, Yuanjie Zheng, Wanzhen Jiao, 2017 .

Shape-Based Normalization of the Corpus Callosum for DTI Connectivity Analysis

Paul A. Yushkevich, James C. Gee, Hui Sun, 2007, IEEE Transactions on Medical Imaging.

Point-set registration of tagged HE-3 images using a structurally-based Jensen-Shannon divergence measure within a deterministic annealing framework

Jing Cai, Suyash P. Awate, James C. Gee, 2008, 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Agreement between the white matter connectivity based on the tensor-based morphometry and the volumetric white matter parcellations based on diffusion tensor imaging

Brian B. Avants, Moo K. Chung, James C. Gee, 2012, 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI).

New experimental results in atlas-based brain morphometry

James C. Gee, Ruben C. Gur, Raquel E. Gur, 1999, Medical Imaging.

How Do Registration Parameters Affect Quantitation of Lung Kinematics?

James C. Gee, Nicholas J. Tustison, Jürgen Biederer, 2007, MICCAI.

An automated drusen detection system for classifying age-related macular degeneration with color fundus photographs

James C. Gee, Yuanjie Zheng, David H. Brainard, 2013, 2013 IEEE 10th International Symposium on Biomedical Imaging.

Nested Scale-Editing for Conditional Image Synthesis

James C. Gee, Tarmily Wen, Jie Min, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Characterizing populations and searching for diagnostics via elastic registration of MRI images

James C. Gee, David J. Pettey, 2001, SPIE Medical Imaging.

Rapid coarse-to-fine matching using scale-specific priors

James C. Gee, David R. Haynor, 1996, Medical Imaging.

Computational Approach toward Pulmonary Functional Imaging

James C. Gee, Nicholas J. Tustison, William D. Lindsay, 2020, Medical Radiology.

Retrospective illumination correction of retinal fundus images from gradient distribution sparsity

James C. Gee, Yuanjie Zheng, Dwight Stambolian, 2012, 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI).

Pulmonary Kinematics via Registration of Serial Lung Images

Drew A. Torigian, James C. Gee, Nicholas J. Tustison, 2011 .

Non-rigid registration of diffusion tensor MR images

James C. Gee, Mariano Rivera, Daniel C. Alexander, 2002, Proceedings IEEE International Symposium on Biomedical Imaging.

Eigenanatomy Improves Detection Power for Longitudinal Cortical Change

Brian B. Avants, James C. Gee, Philip A. Cook, 2012, MICCAI.

A 3D Statistical Fluid Registration Algorithm

Paul M. Thompson, James C. Gee, Natasha Lepore, 2010 .

Guest editorial: Special Issue on Computational Neuroanatomy

Paul M. Thompson, James C. Gee, J. Gee, 2007, IEEE Trans. Medical Imaging.

Computational analysis of HRCT images for characterization and differentiation of ILD and COPD

Drew A. Torigian, James C. Gee, Gang Song, 2009, 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

3D Cerebral Cortical Morphometry in Autism: Increased Folding in Children and Adolescents in Frontal, Parietal, and Temporal Lobes

Robert T. Schultz, Suyash P. Awate, Paul A. Yushkevich, 2008, MICCAI.

V-Chain: A Blockchain-Based Car Lease Platform

Mohsen Guizani, Xiaojiang Du, Qi Xia, 2018, 2018 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData).

Interpretable Multimodality Embedding of Cerebral Cortex Using Attention Graph Network for Identifying Bipolar Disorder

James C. Gee, Yifan Wu, Xiaoxiao Li, 2019, MICCAI.

Validation of brain segmentation and tissue classification algorithm for T1-weighted MR images

James C. Gee, Lydia Ng, Vikram Chalana, 2001, SPIE Medical Imaging.

Decomposing cerebral blood flow MRI into functional and structural components: A non-local approach based on prediction

Brian B. Avants, James C. Gee, John A. Detre, 2015, NeuroImage.

NON-UNIFORM SMOOTHING IN HIPPOCAMPUS-SPECIFIC GROUP FMRI ANALYSIS

Paul A. Yushkevich, James C. Gee, John A. Detre, 2007, 2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

N4ITK: Improved N3 Bias Correction

Brian B. Avants, Paul A. Yushkevich, James C. Gee, 2010, IEEE Transactions on Medical Imaging.

Validation of a non-rigid registration algorithm for multi-modal data

James C. Gee, Stanislav Kovacic, Peter Rogelj, 2002 .

Improved FFD B-Spline Image Registration

Brian B. Avants, James C. Gee, Nicholas J. Tustison, 2007, 2007 IEEE 11th International Conference on Computer Vision.

Automated Meshing of Anatomical Shapes for Deformable Medial Modeling: Application to the Placenta in 3D Ultrasound

Paul A. Yushkevich, James C. Gee, Alison M. Pouch, 2020, 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI).

Large-scale evaluation of ANTs and FreeSurfer cortical thickness measurements

Arno Klein, Brian B. Avants, James C. Gee, 2014, NeuroImage.

Comparative Methods for Analyzing Diffusion Tensor Imaging in Semantic Variant Primary Progressive Aphasia (P03.098)

Paul A. Yushkevich, James C. Gee, Philip A. Cook, 2012 .

A Computational White Matter Atlas for Aging with Surface-Based Representation of Fasciculi

Daniel Rueckert, Paul A. Yushkevich, James C. Gee, 2010, WBIR.

Hippocampus-specific fMRI group activation analysis using the continuous medial representation

Paul A. Yushkevich, James C. Gee, John A. Detre, 2007, NeuroImage.

Testing realism of software breast phantoms: texture analysis of synthetic mammograms

James C. Gee, Yuanjie Zheng, Andrew D. A. Maidment, 2013, Medical Imaging.

The optimal template effect in hippocampus studies of diseased populations

Brian B. Avants, Paul A. Yushkevich, James C. Gee, 2010, NeuroImage.

Constrained quadrilateral meshes of bounded size

James C. Gee, Marcelo Siqueira, Jean H. Gallier, 2005, Int. J. Comput. Geom. Appl..

A reproducible evaluation of ANTs similarity metric performance in brain image registration

Arno Klein, Brian B. Avants, James C. Gee, 2011, NeuroImage.

Branching medial models for cardiac shape representation

Alejandro F. Frangi, Brian B. Avants, Paul A. Yushkevich, 2008, 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Fuzzy Nonparametric DTI Segmentation for Robust Cingulum-Tract Extraction

Suyash P. Awate, James C. Gee, Hui Zhang, 2007, MICCAI.

Volumetric, connective, and morphologic changes in the brains of children with chromosome 22q11.2 deletion syndrome: an integrative study

James C. Gee, Tony J. Simon, Lijun Ding, 2005, NeuroImage.

Factor analysis of high-dimensional heterogeneous data for structural characterization

James C. Gee, Mario F. M. Campos, Alexei Manso Corrêa Machado, 2001, SPIE Medical Imaging.

James C. Gee, Stanislav Kovacic, Peter Rogelj, 2003, Comput. Vis. Image Underst..

Biomedical Image Registration

James C. Gee, Michael W. Vannier, J. B. Antoine Maintz, 2003, Lecture Notes in Computer Science.

Image Segmentation by Flexible Models Based on Robust Regularized Networks

James C. Gee, Mariano Rivera, 2002, ECCV.

A Tract-Specific Framework for White Matter Morphometry Combining Macroscopic and Microscopic Tract Features

Suyash P. Awate, Paul A. Yushkevich, James C. Gee, 2009, MICCAI.

Registration of diffusion tensor magnetic resonance images and its application to the quantitative analysis of human brain white matter

James C. Gee, Hui Zhang, 2007 .

High-Dimensional Spatial Normalization of Diffusion Tensor Images Improves the Detection of White Matter Differences: An Example Study Using Amyotrophic Lateral Sclerosis

Brian B. Avants, Paul A. Yushkevich, James C. Gee, 2007, IEEE Transactions on Medical Imaging.

Retinal Image Denoising via Bilateral Filter with a Spatial Kernel of Optimally Oriented Line Spread Function

Yanna Zhao, Jian Lian, James C. Gee, 2017, Comput. Math. Methods Medicine.

A Generative Model for OCT Retinal Layer Segmentation by Integrating Graph-Based Multi-surface Searching and Image Registration

Yan Wang, James C. Gee, Yuanjie Zheng, 2013, MICCAI.

Structural consequences of diffuse traumatic brain injury: A large deformation tensor-based morphometry study

Brian B. Avants, James C. Gee, John A. Detre, 2008, NeuroImage.

A Comparison of Methods for Recovering Intra-voxel White Matter Fiber Architecture from Clinical Diffusion Imaging Scans

James C. Gee, Philip A. Cook, Alonso Ramirez-Manzanares, 2008, MICCAI.

Anatomy-Based Visualizations of Diffusion Tensor Images of Brain White Matter

Brian B. Avants, Paul A. Yushkevich, James C. Gee, 2006, Visualization and Processing of Tensor Fields.

Spatial transformations of diffusion tensor magnetic resonance images

James C. Gee, Carlo Pierpaoli, Daniel C. Alexander, 2001, IEEE Transactions on Medical Imaging.

A diffusion tensor brain template for Rhesus Macaques

James C. Gee, Hui Zhang, Andrew L. Alexander, 2012, NeuroImage.

An Automated Approach to Connectivity-Based Partitioning of Brain Structures

Brian B. Avants, Paul A. Yushkevich, James C. Gee, 2005, MICCAI.

Shape-Based Alignment of Hippocampal Subfields: Evaluation in Postmortem MRI

Brian B. Avants, Paul A. Yushkevich, James C. Gee, 2008, MICCAI.

Measuring Cortical Thickness Using An Image Domain Local Surface Model And Topology Preserving Segmentation

Brian B. Avants, James C. Gee, Murray Grossman, 2007, 2007 IEEE 11th International Conference on Computer Vision.

Evaluation of 14 nonlinear deformation algorithms applied to human brain MRI registration

Arno Klein, Brian B. Avants, D. Louis Collins, 2009, NeuroImage.

Integrated Graph Cuts for Brain MRI Segmentation

Brian B. Avants, Zhuang Song, James C. Gee, 2006, MICCAI.

Substructural segmentation based on regional shape differences

Mario Fernando Montenegro Campos, James C. Gee, Alexei Manso Corrêa Machado, 2002, Proceedings. XV Brazilian Symposium on Computer Graphics and Image Processing.

Performance evaluation of medical image processing algorithms

James C. Gee, 2000, Medical Imaging: Image Processing.

Structural connectivity via the tensor-based morphometry

Brian B. Avants, Moo K. Chung, James C. Gee, 2011, 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Morphometric analysis of brain images with reduced number of statistical tests: A study on the gender-related differentiation of the corpus callosum

James C. Gee, Vasileios Megalooikonomou, Despina Kontos, 2009, Artif. Intell. Medicine.

Qiang Wang, James C. Gee, Longin Jan Latecki, 2010, Medical Imaging.

Chain-based big data access control infrastructure

Mohsen Guizani, Xiaojiang Du, Qi Xia, 2018, The Journal of Supercomputing.

Probabilistic Matching of Brain Images

James C. Gee, Christian Barillot, David R. Haynor, 1995 .

An Image Processing Pipeline of Lobar Segmentation in Hyperpolarized Xenon MRI

James C. Gee, Mehrdad Pourfathi, R. Baron, 2020 .

Evaluation of multiresolution elastic matching using MRI data

Ruzena Bajcsy, James C. Gee, Stanislav Kovacic, 1991, Medical Imaging.

Efficient Partial Volume Tissue Classification in MRI Scans

James C. Gee, Aljaz Noe, 2002, MICCAI.

Combining Deep Learning and Multi-atlas Label Fusion for Automated Placenta Segmentation from 3DUS

Paul A. Yushkevich, James C. Gee, Ipek Oguz, 2018, DATRA/PIPPI@MICCAI.

Reducing the computational cost for statistical medical image analysis: an MRI study on the sexual morphological differentiation of the corpus callosum

James C. Gee, Vasileios Megalooikonomou, Despina Kontos, 2005, 18th IEEE Symposium on Computer-Based Medical Systems (CBMS'05).

Leveraging Label-Specific Discriminant Mapping Features for Multi-Label Learning

Korris Fu-Lai Chung, James C. Gee, Jiancong Wang, 2019, ACM Trans. Knowl. Discov. Data.

Biomedical Image Registration: Revised Papers: Second International Workshop, Wbir 2003, Philadelphia, Pa, Usa, June 2003 (LECTURE NOTES IN COMPUTER SCIENCE)

James C. Gee, J. B. Antoine Maintz, Michael W. Vannier, 2003 .

Reconstruction of the human hippocampus in 3D from histology and high-resolution ex-vivo MRI

Brian B. Avants, Paul A. Yushkevich, James C. Gee, 2012, 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI).

Surface-based modeling of white matter fasciculi with orientation encoding

Paul A. Yushkevich, James C. Gee, Hui Zhang, 2008, 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Automated Segmentation of the Choroid in EDI-OCT Images with Retinal Pathology Using Convolution Neural Networks

Min Chen, James C. Gee, Ipek Oguz, 2017, FIFI/OMIA@MICCAI.

Clinical Neonatal Brain MRI Segmentation Using Adaptive Nonparametric Data Models and Intensity-Based Markov Priors

Suyash P. Awate, Zhuang Song, Daniel J. Licht, 2007, MICCAI.

Subspecialty-Level Deep Gray Matter Differential Diagnoses with Deep Learning and Bayesian Networks on Clinical Brain MRI: A Pilot Study.

James C. Gee, Ilya M. Nasrallah, R. Nick Bryan, 2020, Radiology. Artificial intelligence.

Information Processing in Medical Imaging

James C. Gee, Lilla Zöllei, Sarang Joshi, 2013, Lecture Notes in Computer Science.

A tract-specific framework for white matter morphometry combining macroscopic and microscopic tract features

Suyash P. Awate, Paul A. Yushkevich, James C. Gee, 2010, Medical Image Anal..

Massive Particles for Brain Tractography

James C. Gee, Mariano Rivera, Ramón Aranda, 2010, MICAI.

Elastic Matching of Diffusion Tensor Images

James C. Gee, Daniel C. Alexander, J. Gee, 2000, Comput. Vis. Image Underst..

A high-resolution computational atlas of the human hippocampus from postmortem magnetic resonance imaging at 9.4 T

Brian B. Avants, Paul A. Yushkevich, James C. Gee, 2009, NeuroImage.

Dementia induces correlated reductions in white matter integrity and cortical thickness: A multivariate neuroimaging study with sparse canonical correlation analysis

Brian B. Avants, James C. Gee, Lyle H. Ungar, 2010, NeuroImage.

Neuroinformatics for Genome-Wide 3-D Gene Expression Mapping in the Mouse Brain

Brian B. Avants, Paul A. Yushkevich, James C. Gee, 2007, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

The ANTs cortical thickness processing pipeline

Brian B. Avants, James C. Gee, Nicholas J. Tustison, 2013, Medical Imaging.

Searchable Public-Key Encryption with Data Sharing in Dynamic Groups for Mobile Cloud Storage

Qi Xia, James C. Gee, Jianbing Ni, 2015, J. Univers. Comput. Sci..

Two--level MRF Models for Image Restoration and Segmentation

James C. Gee, Mariano Rivera, 2004, BMVC.

Soft parametric curve matching in scale-space

Brian B. Avants, James C. Gee, 2002, SPIE Medical Imaging.

Using a Linear Diagnostic Function and Non-rigid Registration to Search for Morphological Differences Between Populations: An Example Involving the Male and Female Corpus Callosum

James C. Gee, David J. Pettey, 2001, IPMI.

Robust partial-volume tissue classification of cerebral MRI scans

James C. Gee, Lucien Nocera, J. Gee, 1997, Medical Imaging.

Point Set Registration Using Havrda–Charvat–Tsallis Entropy Measures

Suyash P. Awate, James C. Gee, Gang Song, 2011, IEEE Transactions on Medical Imaging.

Histology-derived volumetric annotation of the human hippocampal subfields in postmortem MRI

Brian B. Avants, Paul A. Yushkevich, James C. Gee, 2014, NeuroImage.

Geodesic Image Normalization and Temporal Parameterization in the Space of Diffeomorphisms

Brian B. Avants, James C. Gee, Charles L. Epstein, 2006, MIAR.

Combining Cross Entropy Loss with Manually Defined Hard Example for Semantic Image Segmentation

James C. Gee, Jianbin Gao, Tao Huang, 2019, ICIG.

Non-Rigid Image Registration

Brian B. Avants, James C. Gee, Jeffrey T. Duda, 2004 .

Symmetric Diffeomorphic Image Registration: Evaluating Automated Labeling of Elderly and Neurodegenerative Cortex and Frontal Lobe

Brian B. Avants, James C. Gee, Murray Grossman, 2006, WBIR.

Analyzing Effects of Intra-Uterine Cocaine Exposure on Adolescent Brain Structure with Symmetric Diffeomorphisms

Brian B. Avants, James C. Gee, Charles L. Epstein, 2006, 2006 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'06).

Brain Parcellation Aids in Electrode Localization in Epileptic Patients

Brian Litt, James C. Gee, Yuanjie Zheng, 2011, AE-CAI.

Single-Image Vignetting Correction from Gradient Distribution Symmetries

Stephen Lin, James C. Gee, Yuanjie Zheng, 2013, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Evaluation of a Symmetric Diffeomorphic Registration Algorithm for Analyzing Neurodegenerative Disease

James C. Gee, Murray Grossman, B. Avants, 2006 .

Accurate registration of dynamic contrast-enhanced breast mr images with robust estimation and linear programming

James C. Gee, Yuanjie Zheng, Andrew D. A. Maidment, 2010, 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

The Institute For Research In Cognitive Science Elastically Deforming a Three-Dimensional Atlas to Match Anatomical Brain Images

Ruzena Bajcsy, James C. Gee, Martin Reivich, 1993 .

Validation of a nonrigid registration algorithm for multimodal data

James C. Gee, Stanislav Kovacic, Peter Rogelj, 2002, SPIE Medical Imaging.

Brain MRI Deep Learning and Bayesian Inference System Augments Radiology Resident Performance

James C. Gee, Ilya M. Nasrallah, Jeffrey B. Ware, 2021, Journal of Digital Imaging.

Deformable Image Registration using Neural ODEs pdf

M. Ani Hsieh, Paul A. Yushkevich, James C. Gee, 2021, ArXiv.

Information Processing Speed During Functional Neuroimaging of Sentence Comprehension

James C. Gee, David C. Alsop, John A. Detre, 2000 .

Constraint Split Bregman method combined with total variation for structural decomposition of breast DCE-MRI

James C. Gee, Yuanjie Zheng, Zuowei Zhao, 2015, 2015 4th International Conference on Computer Science and Network Technology (ICCSNT).

Characterization of brain plasticity in schizophrenia using template deformation.

James C. Gee, Ruben C. Gur, Raquel E. Gur, 2005 .

A Digital Atlas of the Dog Brain

Brian B. Avants, James C. Gee, Geoffrey K. Aguirre, 2012, PloS one.

A Factor Analytic Approach to Structural Characterization

James C. Gee, Mario F. M. Campos, Alexei Manso Correa Machado, 2000 .

Continuum Models for Bayesian Image Matching

James C. Gee, J. Gee, P. D. Peralta, 1996 .

Corpus callosum morphology and ventricular size in chromosome 22q11.2 deletion syndrome

James C. Gee, Tony J. Simon, Donna M. McDonald-McGinn, 2007, Brain Research.

User-Guided Level Set Segmentation of Anatomical Structures with ITK-SNAP

Guido Gerig, James C. Gee, Joseph Piven, 2005, The Insight Journal.

Experimental quantification of the plastic blunting process for stage II fatigue crack growth in one-phase metallic materials

James C. Gee, S. H. Choi, Pedro Peralta, 2007 .

Three-dimensional registration of PET and CT images

Ruzena Bajcsy, James C. Gee, Stanislav Kovacic, 1989, Images of the Twenty-First Century. Proceedings of the Annual International Engineering in Medicine and Biology Society,.

Spatial transformations for registration of DT-MRIs

James C. Gee, Daniel C. Alexander, J. Gee, 2000 .

DTI Tractography for Neurosurgical Planning : A Grand Challenge Sunday September 18 , 2011 MICCAI 2011 , Toronto , Canada

Paul A. Yushkevich, James C. Gee, Caroline C. Brun, 2011 .

Relating brain anatomy and cognitive ability using a multivariate multimodal framework

Brian B. Avants, James C. Gee, Philip A. Cook, 2014, NeuroImage.

A High-Resolution Computational Atlas of the Human Hippocampus from Postmortem Magnetic Resonance Imaging at 9 . 4 Tesla

Brian B. Avants, Paul A. Yushkevich, James C. Gee, 2008 .

Density estimation for MR image elastic matching

James C. Gee, Mario F. M. Campos, Alexei Manso Correa Machado, 1998, Proceedings SIBGRAPI'98. International Symposium on Computer Graphics, Image Processing, and Vision (Cat. No.98EX237).

Visualizing the Propagation of Acute Lung Injury

James C. Gee, Brian P. Kavanagh, Maurizio Cereda, 2016, Anesthesiology.

Computational analysis in epilepsy neuroimaging: A survey of features and methods

Brian Litt, James C. Gee, Lohith G. Kini, 2016, NeuroImage: Clinical.

The role of ventral medial prefrontal cortex in social decisions: Converging evidence from fMRI and frontotemporal lobar degeneration

James C. Gee, Brian Avants, Paul J. Eslinger, 2010, Neuropsychologia.

Numerical Methods for High-Dimensional Warps

James C. Gee, David R. Haynor, J. Gee, 1999 .

White matter hyperintensities are more highly associated with preclinical Alzheimer's disease than imaging and cognitive markers of neurodegeneration

Brian B. Avants, Christos Davatzikos, James C. Gee, 2016, Alzheimer's & dementia.

Shape optimizing diffeomorphisms for medical image analysis

Brian B. Avants, James C. Gee, 2005 .