Christos Davatzikos
Orcid: 0000-0002-1025-8561Affiliations:
- University of Pennsylvania, Philadelphia, USA
According to our database1,
Christos Davatzikos
authored at least 318 papers
between 1992 and 2024.
Collaborative distances:
Collaborative distances:
Awards
IEEE Fellow
IEEE Fellow 2014, "For contributions to automatic analysis and interpretation of biomedical multi-dimensional data".
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2024
Dimensional Neuroimaging Endophenotypes: Neurobiological Representations of Disease Heterogeneity Through Machine Learning.
CoRR, 2024
2023
Brain-wide genome-wide colocalization study for integrating genetics, transcriptomics and brain morphometry in Alzheimer's disease.
NeuroImage, October, 2023
Image harmonization: A review of statistical and deep learning methods for removing batch effects and evaluation metrics for effective harmonization.
NeuroImage, July, 2023
Associations of baseline and longitudinal change in cerebellum volume with age-related changes in verbal learning and memory.
NeuroImage, May, 2023
IEEE Trans. Medical Imaging, April, 2023
Multiscale functional connectivity patterns of the aging brain learned from harmonized rsfMRI data of the multi-cohort iSTAGING study.
NeuroImage, April, 2023
Applications of generative adversarial networks in neuroimaging and clinical neuroscience.
NeuroImage, April, 2023
Computing personalized brain functional networks from fMRI using self-supervised deep learning.
Medical Image Anal., April, 2023
Adapting Machine Learning Diagnostic Models to New Populations Using a Small Amount of Data: Results from Clinical Neuroscience.
CoRR, 2023
The Brain Tumor Segmentation (BraTS) Challenge 2023: Brain MR Image Synthesis for Tumor Segmentation (BraSyn).
CoRR, 2023
The Brain Tumor Segmentation (BraTS) Challenge 2023: Local Synthesis of Healthy Brain Tissue via Inpainting.
CoRR, 2023
Gene-SGAN: a method for discovering disease subtypes with imaging and genetic signatures via multi-view weakly-supervised deep clustering.
CoRR, 2023
Proceedings of the Medical Imaging 2023: Image Processing, 2023
Identifying Shared Neuroanatomic Architecture Between Cognitive Traits Through Multiscale Morphometric Correlation Analysis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops, 2023
2022
NeuroImage, 2022
Medical Image Anal., 2022
Embracing the disharmony in medical imaging: A Simple and effective framework for domain adaptation.
Medical Image Anal., 2022
CoRR, 2022
Machine Learning Models Are Not Necessarily Biased When Constructed Properly: Evidence from Neuroimaging Studies.
CoRR, 2022
CoRR, 2022
Deep Kernel Learning with Temporal Gaussian Processes for Clinical Variable Prediction in Alzheimer's Disease.
Proceedings of the Machine Learning for Health, 2022
Automated segmentation of pediatric brain tumors based on multi-parametric MRI and deep learning.
Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, 2022
Harmonization of multi-site functional connectivity measures in tangent space improves brain age prediction.
Proceedings of the Medical Imaging 2022: Biomedical Applications in Molecular, 2022
Surreal-GAN: Semi-Supervised Representation Learning via GAN for uncovering heterogeneous disease-related imaging patterns.
Proceedings of the Tenth International Conference on Learning Representations, 2022
Preference Matrix Guided Sparse Canonical Correlation Analysis for Genetic Study of Quantitative Traits in Alzheimer's Disease.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
2021
Hierarchical Extraction of Functional Connectivity Components in Human Brain Using Resting-State fMRI.
IEEE Trans. Medical Imaging, 2021
A Review of Deep Learning in Medical Imaging: Imaging Traits, Technology Trends, Case Studies With Progress Highlights, and Future Promises.
Proc. IEEE, 2021
QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Metrics and Benchmarking Results.
CoRR, 2021
The Brain Tumor Sequence Registration Challenge: Establishing Correspondence between Pre-Operative and Follow-up MRI scans of diffuse glioma patients.
CoRR, 2021
Multidimensional representations in late-life depression: convergence in neuroimaging, cognition, clinical symptomatology and genetics.
CoRR, 2021
Disentangling Alzheimer's disease neurodegeneration from typical brain aging using machine learning.
CoRR, 2021
The RSNA-ASNR-MICCAI BraTS 2021 Benchmark on Brain Tumor Segmentation and Radiogenomic Classification.
CoRR, 2021
Extraction of Hierarchical Functional Connectivity Components in human brain using Adversarial Learning.
CoRR, 2021
GaNDLF: A Generally Nuanced Deep Learning Framework for Scalable End-to-End Clinical Workflows in Medical Imaging.
CoRR, 2021
Disentangling brain heterogeneity via semi-supervised deep-learning and MRI: dimensional representations of Alzheimer's Disease.
CoRR, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
2020
A comparison of Freesurfer and multi-atlas MUSE for brain anatomy segmentation: Findings about size and age bias, and inter-scanner stability in multi-site aging studies.
NeuroImage, 2020
Harmonization of large MRI datasets for the analysis of brain imaging patterns throughout the lifespan.
NeuroImage, 2020
Lasting consequences of concussion on the aging brain: Findings from the Baltimore Longitudinal Study of Aging.
NeuroImage, 2020
Longitudinal ComBat: A method for harmonizing longitudinal multi-scanner imaging data.
NeuroImage, 2020
Associations between cognitive and brain volume changes in cognitively normal older adults.
NeuroImage, 2020
Medical Image Harmonization Using Deep Learning Based Canonical Mapping: Toward Robust and Generalizable Learning in Imaging.
CoRR, 2020
A review of deep learning in medical imaging: Image traits, technology trends, case studies with progress highlights, and future promises.
CoRR, 2020
Smile-GANs: Semi-supervised clustering via GANs for dissecting brain disease heterogeneity from medical images.
CoRR, 2020
Longitudinal brain tumor segmentation prediction in MRI using feature and label fusion.
Biomed. Signal Process. Control., 2020
Integrative radiomic analysis for pre-surgical prognostic stratification of glioblastoma patients: from advanced to basic MRI protocols.
Proceedings of the Medical Imaging 2020: Image-Guided Procedures, 2020
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Proceedings of the Machine Learning in Medical Imaging - 11th International Workshop, 2020
Proceedings of the Machine Learning in Medical Imaging - 11th International Workshop, 2020
Estimating Glioblastoma Biophysical Growth Parameters Using Deep Learning Regression.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2020
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2020
2019
CLAIRE: A Distributed-Memory Solver for Constrained Large Deformation Diffeomorphic Image Registration.
SIAM J. Sci. Comput., 2019
Multivariate Analysis of Preoperative Magnetic Resonance Imaging Reveals Transcriptomic Classification of de novo Glioblastoma Patients.
Frontiers Comput. Neurosci., 2019
Open Source Software Sustainability Models: Initial White Paper from the Information Technology for Cancer Research Sustainability and Industry Partnership Work Group.
CoRR, 2019
DeepMRSeg: A convolutional deep neural network for anatomy and abnormality segmentation on MR images.
CoRR, 2019
Extraction of hierarchical functional connectivity components in human brain using resting-state fMRI.
CoRR, 2019
Proceedings of the Medical Imaging 2019: Image Processing, 2019
Proceedings of the Medical Imaging 2019: Image Processing, 2019
Non-invasive transcriptomic classification of de novo Glioblastoma patients through multivariate quantitative analysis of baseline preoperative multimodal magnetic resonance imaging.
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2019
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2019
2018
NeuroImage, 2018
NeuroImage, 2018
Longitudinally and inter-site consistent multi-atlas based parcellation of brain anatomy using harmonized atlases.
NeuroImage, 2018
High resolution robust and smooth precision matrices to capture functional connectivity.
Proceedings of the Medical Imaging 2018: Image Processing, 2018
Proceedings of the Medical Imaging 2018: Image Processing, 2018
Technical note: a radiomic signature of infiltration in peritumoral edema predicts subsequent recurrence in glioblastoma.
Proceedings of the Medical Imaging 2018: Image-Guided Procedures, 2018
Generative Discriminative Models for Multivariate Inference and Statistical Mapping in Medical Imaging.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Patient-Specific Registration of Pre-operative and Post-recurrence Brain Tumor MRI Scans.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2018
Multi-stage Association Analysis of Glioblastoma Gene Expressions with Texture and Spatial Patterns.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2018
Deriving stable multi-parametric MRI radiomic signatures in the presence of inter-scanner variations: survival prediction of glioblastoma via imaging pattern analysis and machine learning techniques.
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018
Deformable image registration as a tool to improve survival prediction after neoadjuvant chemotherapy for breast cancer: results from the ACRIN 6657/I-SPY-1 trial.
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
2017
HYDRA: Revealing heterogeneity of imaging and genetic patterns through a multiple max-margin discriminative analysis framework.
NeuroImage, 2017
A review on neuroimaging-based classification studies and associated feature extraction methods for Alzheimer's disease and its prodromal stages.
NeuroImage, 2017
Benchmarking of participant-level confound regression strategies for the control of motion artifact in studies of functional connectivity.
NeuroImage, 2017
CoRR, 2017
Proceedings of the International Conference for High Performance Computing, 2017
Brain Cancer Imaging Phenomics Toolkit (brain-CaPTk): An Interactive Platform for Quantitative Analysis of Glioblastoma.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2017
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
Improved brain tumor segmentation by utilizing tumor growth model in longitudinal brain MRI.
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017
Proceedings of the Information Processing in Medical Imaging, 2017
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017
2016
Abnormality Detection via Iterative Deformable Registration and Basis-Pursuit Decomposition.
IEEE Trans. Medical Imaging, 2016
CHIMERA: Clustering of Heterogeneous Disease Effects via Distribution Matching of Imaging Patterns.
IEEE Trans. Medical Imaging, 2016
Control-group feature normalization for multivariate pattern analysis of structural MRI data using the support vector machine.
NeuroImage, 2016
Capturing heterogeneous group differences using mixture-of-experts: Application to a study of aging.
NeuroImage, 2016
MUSE: MUlti-atlas region Segmentation utilizing Ensembles of registration algorithms and parameters, and locally optimal atlas selection.
NeuroImage, 2016
Computational neuroanatomy using brain deformations: From brain parcellation to multivariate pattern analysis and machine learning.
Medical Image Anal., 2016
Segmentation of Gliomas in Pre-operative and Post-operative Multimodal Magnetic Resonance Imaging Volumes Based on a Hybrid Generative-Discriminative Framework.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2016
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
2015
SIAM J. Imaging Sci., 2015
Finding imaging patterns of structural covariance via Non-Negative Matrix Factorization.
NeuroImage, 2015
GraSP: Geodesic Graph-based Segmentation with Shape Priors for the functional parcellation of the cortex.
NeuroImage, 2015
Vascular risk factors, cerebrovascular reactivity, and the default-mode brain network.
NeuroImage, 2015
NeuroImage, 2015
Medical Image Anal., 2015
Interpreting support vector machine models for multivariate group wise analysis in neuroimaging.
Medical Image Anal., 2015
A low cost approach for brain tumor segmentation based on intensity modeling and 3D Random Walker.
Biomed. Signal Process. Control., 2015
Classification of MRI under the Presence of Disease Heterogeneity using Multi-Task Learning: Application to Bipolar Disorder.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015
Estimating Patient Specific Templates for Pre-operative and Follow-Up Brain Tumor Registration.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015
GLISTRboost: Combining Multimodal MRI Segmentation, Registration, and Biophysical Tumor Growth Modeling with Gradient Boosting Machines for Glioma Segmentation.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2015
Proceedings of the Medical Imaging 2015: Computer-Aided Diagnosis, 2015
Quantification of tumor changes during neoadjuvant chemotherapy with longitudinal breast DCE-MRI registration.
Proceedings of the Medical Imaging 2015: Computer-Aided Diagnosis, 2015
Proceedings of the Advances in Visual Computing - 11th International Symposium, 2015
2014
Comparative Evaluation of Registration Algorithms in Different Brain Databases With Varying Difficulty: Results and Insights.
IEEE Trans. Medical Imaging, 2014
IEEE Trans. Medical Imaging, 2014
NeuroImage, 2014
Medical Image Anal., 2014
Individualized statistical learning from medical image databases: Application to identification of brain lesions.
Medical Image Anal., 2014
Proceedings of the Medical Imaging 2014: Image Processing, 2014
Supervised Block Sparse Dictionary Learning for Simultaneous Clustering and Classification in Computational Anatomy.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014
2013
Optimally-Discriminative Voxel-Based Morphometry significantly increases the ability to detect group differences in schizophrenia, mild cognitive impairment, and Alzheimer's disease.
NeuroImage, 2013
Heterogeneous impact of motion on fundamental patterns of developmental changes in functional connectivity during youth.
NeuroImage, 2013
Analytic estimation of statistical significance maps for support vector machine based multi-variate image analysis and classification.
NeuroImage, 2013
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2013
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2013
Deriving Statistical Significance Maps for Support Vector Regression Using Medical Imaging Data.
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2013
A Bayesian Approach for Construction of Sparse Statistical Shape Models Using Dirichlet Distribution.
Proceedings of the Augmented Reality Environments for Medical Imaging and Computer-Assisted Interventions, 2013
Segmentation of the Left Ventricle Using Distance Regularized Two-Layer Level Set Approach.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013
Identifying patterns in temporal variation of functional connectivity using resting state FMRI.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013
Proceedings of the Information Processing in Medical Imaging, 2013
Proceedings of the Information Processing in Medical Imaging, 2013
2012
IEEE Trans. Medical Imaging, 2012
IEEE Trans. Medical Imaging, 2012
IEEE Trans. Medical Imaging, 2012
Plasma clusterin concentration is associated with longitudinal brain atrophy in mild cognitive impairment.
NeuroImage, 2012
NeuroImage, 2012
Validation of DRAMMS among 12 Popular Methods in Cross-Subject Cardiac MRI Registration.
Proceedings of the Biomedical Image Registration - 5th International Workshop, 2012
Proceedings of the Second International Workshop on Pattern Recognition in NeuroImaging, 2012
A Composite Multivariate Polygenic and Neuroimaging Score for Prediction of Conversion to Alzheimer's Disease.
Proceedings of the Second International Workshop on Pattern Recognition in NeuroImaging, 2012
Proceedings of the Second International Workshop on Pattern Recognition in NeuroImaging, 2012
Registration of unseen images based on the generative manifold modeling of variations of appearance and anatomical shape in brain population.
Proceedings of the 2012 IEEE Workshop on Mathematical Methods in Biomedical Image Analysis, 2012
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012
Nonlinear Discriminant Graph Embeddings for Detecting White Matter Lesions in FLAIR MRI.
Proceedings of the Machine Learning in Medical Imaging - Third International Workshop, 2012
Deriving Statistical Significance Maps for SVM Based Image Classification and Group Comparisons.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012
Feature ranking based nested support vector machine ensemble for medical image classification.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012
Manifold-constrained embeddings for the detection of white matter lesions in brain MRI.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012
Fuzzy Multi-channel Clustering with Individualized Spatial Priors for Segmenting Brain Lesions and Infarcts.
Proceedings of the Artificial Intelligence Applications and Innovations, 2012
Combining Outlier Detection with Random Walker for Automatic Brain Tumor Segmentation.
Proceedings of the Artificial Intelligence Applications and Innovations, 2012
2011
IEEE Trans. Medical Imaging, 2011
Deformable Registration of Glioma Images Using EM Algorithm and Diffusion Reaction Modeling.
IEEE Trans. Medical Imaging, 2011
NeuroImage, 2011
Semi-supervised pattern classification of medical images: Application to mild cognitive impairment (MCI).
NeuroImage, 2011
DRAMMS: Deformable registration via attribute matching and mutual-saliency weighting.
Medical Image Anal., 2011
Medical Image Anal., 2011
Int. J. Imaging Syst. Technol., 2011
Investigating machine learning techniques for MRI-based classification of brain neoplasms.
Int. J. Comput. Assist. Radiol. Surg., 2011
Semi-supervised Pattern Classification: Application to Structural MRI of Alzheimer's Disease.
Proceedings of the 2011 International Workshop on Pattern Recognition in NeuroImaging, 2011
Joint Segmentation and Deformable Registration of Brain Scans Guided by a Tumor Growth Model.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011
Multi-Kernel Classification for Integration of Clinical and Imaging Data: Application to Prediction of Cognitive Decline in Older Adults.
Proceedings of the Machine Learning in Medical Imaging - Second International Workshop, 2011
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011
Narrow band region-scalable fitting model for image segmentation in the presence of intensity inhomogeneities.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011
Automated segmentation of cortical necrosis using awavelet based abnormality detection system.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011
Understanding heterogeneity in normal older adult populations via clustering of longitudinal data.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011
Statistical atlases and machine learning tools applied to optimized prostate biopsy for cancer detection and estimation of volume and Gleason score.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011
Proceedings of the Functional Imaging and Modeling of the Heart, 2011
Multi-parametric analysis and registration of brain tumors: Constructing statistical atlases and diagnostic tools of predictive value.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011
2010
High-dimensional pattern regression using machine learning: From medical images to continuous clinical variables.
NeuroImage, 2010
Medical Image Anal., 2010
DTI-DROID: Diffusion tensor imaging-deformable registration using orientation and intensity descriptors.
Int. J. Imaging Syst. Technol., 2010
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010
Imaging as a Surrogate for the Early Prediction and Assessment of Treatment Response through the Analysis of 4-D Texture Ensembles (ISEPARATE).
Proceedings of the Medical Computer Vision. Recognition Techniques and Applications in Medical Imaging, 2010
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010
Automated segmentation of brain lesions by combining intensity and spatial information.
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2010
An EM algorithm for brain tumor image registration: A tumor growth modeling based approach.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2010
Learning high-dimensional image statistics for abnormality detection on medical images.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2010
Application of trace-norm and low-rank matrix decomposition for computational anatomy.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2010
2009
Non-diffeomorphic registration of brain tumor images by simulating tissue loss and tumor growth.
NeuroImage, 2009
Corrigendum to "Non-diffeomorphic registration of brain tumor images by simulating tissue loss and tumor growth" [NeuroImage 46 (2009) 762-774].
NeuroImage, 2009
Baseline and longitudinal patterns of brain atrophy in MCI patients, and their use in prediction of short-term conversion to AD: Results from ADNI.
NeuroImage, 2009
Morphological appearance manifolds in computational anatomy: Groupwise registration and morphological analysis.
NeuroImage, 2009
Sampling the spatial patterns of cancer: Optimized biopsy procedures for estimating prostate cancer volume and Gleason Score.
Medical Image Anal., 2009
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009
Efficient Large Deformation Registration via Geodesics on a Learned Manifold of Images.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009
Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009
Morphological Appearance Manifolds in Computational Anatomy: Groupwise Registration and Morphological Analysis.
Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009
DRAMMS: Deformable Registration via Attribute Matching and Mutual-Saliency Weighting.
Proceedings of the Information Processing in Medical Imaging, 2009
A General and Unifying Framework for Feature Construction, in Image-Based Pattern Classification.
Proceedings of the Information Processing in Medical Imaging, 2009
Non-rigid registration between histological and MR images of the prostate: A joint segmentation and registration framework.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2009
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2009
2008
ORBIT: A Multiresolution Framework for Deformable Registration of Brain Tumor Images.
IEEE Trans. Medical Imaging, 2008
A Comparative Study of Biomechanical Simulators in Deformable Registration of Brain Tumor Images.
IEEE Trans. Biomed. Eng., 2008
SIAM J. Sci. Comput., 2008
Structural and functional biomarkers of prodromal Alzheimer's disease: A high-dimensional pattern classification study.
NeuroImage, 2008
Spatial patterns of brain atrophy in MCI patients, identified via high-dimensional pattern classification, predict subsequent cognitive decline.
NeuroImage, 2008
Individual patient diagnosis of AD and FTD via high-dimensional pattern classification of MRI.
NeuroImage, 2008
Parallel optimization of tumor model parameters for fast registration of brain tumor images.
Proceedings of the Medical Imaging 2008: Image Processing, 2008
Proceedings of the Medical Imaging 2008: Image Processing, 2008
3-D statistical cancer atlas-based targeting of prostate biopsy using ultrasound image guidance.
Proceedings of the Medical Imaging 2008: Image Processing, 2008
Feature selection and classification of multiparametric medical images using bagging and SVM.
Proceedings of the Medical Imaging 2008: Image Processing, 2008
Anatomical equivalence class based complete morphological descriptor for robust image analysis and abnormality detection.
Proceedings of the Medical Imaging 2008: Visualization, 2008
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2008
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2008
Proceedings of the Medical Imaging 2008: Computer-Aided Diagnosis, 2008
Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008
Application and validation of registration framework for real-time atlas guided biopsy.
Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008
Proceedings of the Image Processing: Algorithms and Systems VI, 2008
2007
IEEE Trans. Medical Imaging, 2007
On Analyzing Diffusion Tensor Images by Identifying Manifold Structure Using Isomaps.
IEEE Trans. Medical Imaging, 2007
Anatomical Equivalence Class: A Morphological Analysis Framework Using a Lossless Shape Descriptor.
IEEE Trans. Medical Imaging, 2007
IEEE Trans. Medical Imaging, 2007
Relations of brain volumes with cognitive function in males 45 years and older with past lead exposure.
NeuroImage, 2007
Low-constant parallel algorithms for finite element simulations using linear octrees.
Proceedings of the ACM/IEEE Conference on High Performance Networking and Computing, 2007
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2007, 10th International Conference, Brisbane, Australia, October 29, 2007
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2007, 10th International Conference, Brisbane, Australia, October 29, 2007
Probabilistic Segmentation of Brain Tumors Based on Multi-Modality Magnetic Resonance Images.
Proceedings of the 2007 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007
Proceedings of the Information Processing in Medical Imaging, 2007
An Anatomical Equivalence Class Based Joint Transformation-Residual Descriptor for Morphological Analysis.
Proceedings of the Information Processing in Medical Imaging, 2007
Manifold Learning Techniques in Image Analysis of High-dimensional Diffusion Tensor Magnetic Resonance Images.
Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007
2006
IEEE Trans. Medical Imaging, 2006
Simulating deformations of MR brain images for validation of atlas-based segmentation and registration algorithms.
NeuroImage, 2006
CLASSIC: Consistent Longitudinal Alignment and Segmentation for Serial Image Computing.
NeuroImage, 2006
Statistical representation of high-dimensional deformation fields with application to statistically constrained 3D warping.
Medical Image Anal., 2006
Deformable registration of brain tumor images via a statistical model of tumor-induced deformation.
Medical Image Anal., 2006
A novel 2D-3D registration algorithm for aligning fluoro images with 3D pre-op CT/MR images.
Proceedings of the Medical Imaging 2006: Visualization, 2006
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2006
Registration of brain images with tumors: towards the construction of statistical atlases for therapy planning.
Proceedings of the 2006 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2006
Proceedings of the 2006 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2006
Proceedings of the 2006 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2006
Automated segmentation of white matter lesions in 3D brain MR images, using multivariate pattern classification.
Proceedings of the 2006 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2006
Proceedings of the 2006 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2006
Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2006
A Joint Transformation and Residual Image Descriptor for Morphometric Image Analysis using an Equivalence Class Formulation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2006
On Characterizing and Analyzing Diffusion Tensor Images by Learning their Underlying Manifold Structure.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2006
Detecting Cognitive States from fMRI Images by Machine Learning and Multivariate Classification.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2006
2005
Spatiotemporal maturation patterns of murine brain quantified by diffusion tensor MRI and deformation-based morphometry.
Proc. Natl. Acad. Sci. USA, 2005
Classifying spatial patterns of brain activity with machine learning methods: Application to lie detection.
NeuroImage, 2005
Statistical Representation and Simulation of High-Dimensional Deformations: Application to Synthesizing Brain Deformations.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2005
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2005
Deformable Registration of Brain Tumor Images Via a Statistical Model of Tumor-Induced Deformation.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2005
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2005
Classification of Structural Images via High-Dimensional Image Warping, Robust Feature Extraction, and SVM.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2005
2004
Determining correspondence in 3-D MR brain images using attribute vectors as morphological signatures of voxels.
IEEE Trans. Medical Imaging, 2004
IEEE Trans. Medical Imaging, 2004
Measuring temporal morphological changes robustly in brain MR images via 4-dimensional template warping.
NeuroImage, 2004
Deformable registration of cortical structures via hybrid volumetric and surface warping.
NeuroImage, 2004
Morphological classification of brains via high-dimensional shape transformations and machine learning methods.
NeuroImage, 2004
Why voxel-based morphometric analysis should be used with great caution when characterizing group differences.
NeuroImage, 2004
Medical Image Anal., 2004
Proceedings of the Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2004, 2004
Proceedings of the Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2004, 2004
Proceedings of the 2004 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2004
Proceedings of the 2004 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2004
Proceedings of the 2004 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2004
Proceedings of the 2004 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2004
Morphological Classification of Medical Images using Nonlinear Support Vector Machines.
Proceedings of the 2004 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2004
2003
Segmentation of Prostate Boundaries from Ultrasound Images Using Statistical Shape Model.
IEEE Trans. Medical Imaging, 2003
IEEE Trans. Medical Imaging, 2003
Very High-Resolution Morphometry Using Mass-Preserving Deformations and HAMMER Elastic Registration.
NeuroImage, 2003
Automatic classification of sulcal regions of the human brain cortex using pattern recognition.
Proceedings of the Medical Imaging 2003: Image Processing, 2003
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2003
Proceedings of the Information Processing in Medical Imaging, 2003
2002
Using a Statistical Shape Model to Extract Sulcal Curves on the Outer Cortex of the Human Brain.
IEEE Trans. Medical Imaging, 2002
IEEE Trans. Medical Imaging, 2002
Measuring Size and Shape of the Hippocampus in MR Images Using a Deformable Shape Model.
NeuroImage, 2002
A Combined Statistical and Biomechanical Model for Estimation of Intra-operative Prostate Deformation.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2002
Proceedings of the 2002 IEEE International Symposium on Biomedical Imaging, 2002
Proceedings of the 2002 IEEE International Symposium on Biomedical Imaging, 2002
Proceedings of the 2002 IEEE International Symposium on Biomedical Imaging, 2002
Proceedings of the 2002 IEEE International Symposium on Biomedical Imaging, 2002
2001
An Adaptive-Focus Statistical Shape Model for Segmentation and Shape Modeling of 3D Brain Structures.
IEEE Trans. Medical Imaging, 2001
IEEE Trans. Medical Imaging, 2001
Voxel-Based Morphometry Using the RAVENS Maps: Methods and Validation Using Simulated Longitudinal Atrophy.
NeuroImage, 2001
Image Vis. Comput., 2001
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2001
Proceedings of the Information Processing in Medical Imaging, 2001
Proceedings of the 14th IEEE Symposium on Computer-Based Medical Systems (CBMS 2001), 2001
2000
IEEE Trans. Pattern Anal. Mach. Intell., 2000
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2000
A Framework for Predictive Modeling of Intra-operative Deformations: A Simulation-Based Study.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2000
1999
Nonlinear elastic registration of brain images with tumor pathology using a biomechanical model [MRI].
IEEE Trans. Medical Imaging, 1999
Proceedings of the Fifth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 1999
Proceedings of the Information Processing in Medical Imaging, 1999
1998
A Biomechanical Model of Soft Tissue Deformation, with Applications to Non-rigid Registration of Brain Images with Tumor Pathology.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 1998
1997
Finding parametric representations of the cortical sulci using an active contour model.
Medical Image Anal., 1997
Spatial Transformation and Registration of Brain Images Using Elastically Deformable Models.
Comput. Vis. Image Underst., 1997
Mapping the Cerebral Sulci: Application to Morphological Analysis of the Cortex and to Non-rigid Registration.
Proceedings of the Information Processing in Medical Imaging, 1997
Proceedings of the CVRMed-MRCAS'97, 1997
1996
IEEE Trans. Medical Imaging, 1996
Proceedings of the Visualization in Biomedical Computing, 4th International Conference, 1996
1995
1993
Proceedings of the Conference on Computer Vision and Pattern Recognition, 1993
1992
Segmentation and mapping of highly convoluted contours with applications to medical images.
Proceedings of the 1992 IEEE International Conference on Acoustics, 1992