Christos Davatzikos

发表

A Composite Multivariate Polygenic and Neuroimaging Score for Prediction of Conversion to Alzheimer's Disease

Bilwaj Gaonkar, Roman Filipovych, Christos Davatzikos, 2012, 2012 Second International Workshop on Pattern Recognition in NeuroImaging.

Regularized Tensor Factorization for Multi-Modality Medical Image Classification

Ben Taskar, Christos Davatzikos, Nematollah Batmanghelich, 2011, MICCAI.

Pattern recognition of functional brain networks

Christos Davatzikos, Yong Fan, 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

A Robust Energy Minimization Algorithm for MS-Lesion Segmentation

Christos Davatzikos, Zhaoxuan Gong, Dazhe Zhao, 2015, ISVC.

Longitudinal ComBat: A method for harmonizing longitudinal multi-scanner imaging data☆

Christos Davatzikos, Russell T. Shinohara, Joanne C. Beer, 2020, NeuroImage.

MRI-based classification of brain tumor type and grade using SVM-RFE

Christos Davatzikos, Evangelia I. Zacharaki, Sumei Wang, 2009, 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Association of hearing impairment with brain volume changes in older adults

Christos Davatzikos, Yang An, Susan M. Resnick, 2014, NeuroImage.

Registration of brain images with tumors: towards the construction of statistical atlases for therapy planning

Dinggang Shen, Christos Davatzikos, Evangelia I. Zacharaki, 2006, 3rd IEEE International Symposium on Biomedical Imaging: Nano to Macro, 2006..

A low cost approach for brain tumor segmentation based on intensity modeling and 3D Random Walker

Christos Davatzikos, Evangelia I. Zacharaki, Vasileios Megalooikonomou, 2015, Biomed. Signal Process. Control..

Graph-based deformable image registration

Christos Davatzikos, Aristeidis Sotiras, Yangming Ou, 2015 .

BRAIN AGING HETEROGENEITY ELUCIDATED VIA MACHINE LEARNING: THE MULTI-SITE ISTAGING DIMENSIONAL NEUROIMAGING REFERENCE SYSTEM

Christos Davatzikos, iSTAGING Consortium, 2018, Alzheimer's & Dementia.

Groupwise morphometric analysis based on high dimensional clustering

Christos Davatzikos, Kilian M. Pohl, Dong Hye Ye, 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Workshops.

Hierarchical Extraction of Functional Connectivity Components in Human Brain Using Resting-State fMRI

Christos Davatzikos, Dushyant Sahoo, Theodore D Satterthwaite, 2020, IEEE Transactions on Medical Imaging.

4:30 PM DIFFERENTIAL DIAGNOSTIC CLASSIFICATION OF FUNCTIONAL PSYCHOSES USING MRI-BASED PATTERN RECOGNITION

Christos Davatzikos, Nikolaos Koutsouleris, Eva Meisenzahl, 2014, Schizophrenia Research.

Parallel optimization of tumor model parameters for fast registration of brain tumor images

Dinggang Shen, Christos Davatzikos, Evangelia I. Zacharaki, 2008, SPIE Medical Imaging.

Identifying patterns in temporal variation of functional connectivity using resting state FMRI

Christos Davatzikos, Ruben C. Gur, Raquel E. Gur, 2013, 2013 IEEE 10th International Symposium on Biomedical Imaging.

Morphological classification of brains via high-dimensional shape transformations and machine learning methods

Dinggang Shen, Christos Davatzikos, Bilge Karaçali, 2004, NeuroImage.

Using a deformable surface model to obtain a shape representation of the cortex

Christos Davatzikos, R. Nick Bryan, 1996, IEEE Trans. Medical Imaging.

A Graph-Based Brain Parcellation Method Extracting Sparse Networks

Christos Davatzikos, Theodore D. Satterthwaite, Harini Eavani, 2013, 2013 International Workshop on Pattern Recognition in Neuroimaging.

Spatio-temporal Analysis of Brain MRI Images Using Hidden Markov Models

Ying Wang, Christos Davatzikos, Susan M. Resnick, 2010, MICCAI.

Segmentation of the Left Ventricle Using Distance Regularized Two-Layer Level Set Approach

Christos Davatzikos, Dazhe Zhao, Chaolu Feng, 2013, MICCAI.

Integrated Biophysical Modeling and Image Analysis: Application to Neuro-Oncology.

Christos Davatzikos, Spyridon Bakas, George Biros, 2020, Annual review of biomedical engineering.

IJCARS-MICCAI 2018 special issue

Christos Davatzikos, Julia A. Schnabel, Alejandro F. Frangi, 2019, International Journal of Computer Assisted Radiology and Surgery.

HYDRA: Revealing heterogeneity of imaging and genetic patterns through a multiple max-margin discriminative analysis framework

Christos Davatzikos, Aristeidis Sotiras, Erdem Varol, 2017, NeuroImage.

Detecting mutually-salient landmark pairs with MRF regularization

Nikos Paragios, Christos Davatzikos, Michel Bilello, 2010, 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Evaluation of prostate segmentation algorithms for MRI: The PROMISE12 challenge

Florian Jung, Christos Davatzikos, Dean C. Barratt, 2014, Medical Image Anal..

Combining Generative Models for Multifocal Glioma Segmentation and Registration

Christos Davatzikos, Russell T. Shinohara, Dongjin Kwon, 2014, MICCAI.

Longitudinal ComBat: A method for harmonizing longitudinal multi-scanner imaging data

Christos Davatzikos, Russell T. Shinohara, Joanne C. Beer, 2019, NeuroImage.

Registering Histological and MR Images of Prostate for Image-Based Cancer Detection

Dinggang Shen, Christos Davatzikos, Yiqiang Zhan, 2006, MICCAI.

Harmonization of large MRI datasets for the analysis of brain imaging patterns throughout the lifespan

Christos Davatzikos, Sterling C. Johnson, Ilya M. Nasrallah, 2019, NeuroImage.

Applications of wavelets in morphometric analysis of medical images

Dinggang Shen, Christos Davatzikos, Xiaodong Tao, 2003, SPIE Optics + Photonics.

Morphological appearance manifolds for group-wise morphometric analysis

Christos Davatzikos, Naixiang Lian, 2011, Medical Image Anal..

CLAIRE: A distributed-memory solver for constrained large deformation diffeomorphic image registration

Christos Davatzikos, George Biros, Amir Gholami, 2018, SIAM J. Sci. Comput..

Segmentation of prostate boundaries from ultrasound images using statistical shape model

Dinggang Shen, Christos Davatzikos, Yiqiang Zhan, 2003, IEEE Transactions on Medical Imaging.

DTI‐DROID: Diffusion tensor imaging‐deformable registration using orientation and intensity descriptors

Christos Davatzikos, Ragini Verma, Jinzhong Yang, 2010, Int. J. Imaging Syst. Technol..

Spatial normalization of diffusion tensor images based on anisotropic segmentation

Dinggang Shen, Xiaoying Wu, Christos Davatzikos, 2008, SPIE Medical Imaging.

Joint Segmentation and Deformable Registration of Brain Scans Guided by a Tumor Growth Model

Christos Davatzikos, Kilian M. Pohl, Ali Gooya, 2011, MICCAI.

Unsupervised Learning of Functional Network Dynamics in Resting State fMRI

Christos Davatzikos, Ruben C. Gur, Raquel E. Gur, 2013, IPMI.

Optimization of energy state transition trajectory supports the development of executive function during youth

Danielle S Bassett, Christos Davatzikos, Fabio Pasqualetti, 2020, eLife.

Chapter 17 – Computational Neuroanatomy Using Shape Transformations

Christos Davatzikos, C. Davatzikos, 2009 .

Extracting Evolving Pathologies via Spectral Clustering

Christos Davatzikos, Kilian M. Pohl, Elena Bernardis, 2013, IPMI.

Individual patient diagnosis of AD and FTD via high-dimensional pattern classification of MRI

X. Wu, Christos Davatzikos, Susan M. Resnick, 2008, NeuroImage.

Biomechanically-Constrained 4D Estimation of Myocardial Motion

Christos Davatzikos, Hari Sundar, George Biros, 2009, MICCAI.

Optimization of energy state transition trajectory supports the development of executive function during youth

Christos Davatzikos, Jason Z. Kim, Danielle S. Bassett, 2018, bioRxiv.

Correspondence detection in diffusion tensor images

Christos Davatzikos, Ragini Verma, George Biros, 2006, 3rd IEEE International Symposium on Biomedical Imaging: Nano to Macro, 2006..

MAGIC: Multi-scale Heterogeneity Analysis and Clustering for Brain Diseases

Christos Davatzikos, Aristeidis Sotiras, Erdem Varol, 2020, MICCAI.

Non-rigid registration between histological and MR images of the prostate: A joint segmentation and registration framework

Dinggang Shen, Christos Davatzikos, Michael D. Feldman, 2009, 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops.

Special issue on MICCAI 2018

Alejandro F. Frangi, Gabor Fichtinger, Christos Davatzikos, 2019, Medical Image Anal..

An image-driven parameter estimation problem for a reaction–diffusion glioma growth model with mass effects

Christos Davatzikos, George Biros, Cosmina Hogea, 2008, Journal of mathematical biology.

Generative-Discriminative Basis Learning for Medical Imaging

Ben Taskar, Christos Davatzikos, Nematollah Batmanghelich, 2012, IEEE Transactions on Medical Imaging.

Anatomical Equivalence Class: A Morphological Analysis Framework Using a Lossless Shape Descriptor

Christos Davatzikos, Ragini Verma, Sokratis Makrogiannis, 2007, IEEE Transactions on Medical Imaging.

Why voxel-based morphometric analysis should be used with great caution when characterizing group differences

Christos Davatzikos, C. Davatzikos, 2004, NeuroImage.

Population-based MRI atlases of spatial distribution are specific to patient and tumor characteristics in glioblastoma

Christos Davatzikos, Ronald L. Wolf, Michel Bilello, 2016, NeuroImage: Clinical.

Deriving Statistical Significance Maps for Support Vector Regression Using Medical Imaging Data

Bilwaj Gaonkar, Christos Davatzikos, Aristeidis Sotiras, 2013, 2013 International Workshop on Pattern Recognition in Neuroimaging.

Understanding heterogeneity in normal older adult populations via clustering of longitudinal data

Roman Filipovych, Christos Davatzikos, Susan M. Resnick, 2011, 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Fuzzy Multi-channel Clustering with Individualized Spatial Priors for Segmenting Brain Lesions and Infarcts

Christos Davatzikos, Evangelia I. Zacharaki, Anastasios Bezerianos, 2012, AIAI.

Identifying Sparse Connectivity Patterns in the brain using resting-state fMRI

Roman Filipovych, Christos Davatzikos, Ruben C. Gur, 2015, NeuroImage.

Regional Manifold Learning for Deformable Registration of Brain MR Images

Christos Davatzikos, Kilian M. Pohl, Dong Hye Ye, 2012, MICCAI.

Adaptive-Focus Statistical Shape Model for Segmentation of 3D MR Structures

Dinggang Shen, Christos Davatzikos, 2000, MICCAI.

Sampling the spatial patterns of cancer: Optimized biopsy procedures for estimating prostate cancer volume and Gleason Score

Dinggang Shen, Christos Davatzikos, Yangming Ou, 2009, Medical Image Anal..

Classification of Structural Images via High-Dimensional Image Warping, Robust Feature Extraction, and SVM

Dinggang Shen, Christos Davatzikos, Yong Fan, 2005, MICCAI.

NIMG-59. RADIOLOGIC SUBTYPES OF GLIOBLASTOMA CALCULATED VIA MULTI-PARAMETRIC IMAGING SIGNATURES REVEAL COMPLEMENTARY INFORMATION TO CURRENT WHO CLASSIFICATION

Christos Davatzikos, Michel Bilello, Saima Rathore, 2017 .

Finding imaging patterns of structural covariance via Non-Negative Matrix Factorization

Christos Davatzikos, Susan M. Resnick, Aristeidis Sotiras, 2015, NeuroImage.

Multi-stage Association Analysis of Glioblastoma Gene Expressions with Texture and Spatial Patterns

Christos Davatzikos, Spyridon Bakas, Nicola J. Mulder, 2018, BrainLes@MICCAI.

Manifold based analysis of diffusion tensor images using isomaps

Christos Davatzikos, Ragini Verma, C. Davatzikos, 2006, 3rd IEEE International Symposium on Biomedical Imaging: Nano to Macro, 2006..

Sparse Hierachical Extrapolated Parametric Methods for Cortical Data Analysis pdf

Christos Davatzikos, Nicolas Honnorat, 2017, ArXiv.

Deformable Registration of Glioma Images Using EM Algorithm and Diffusion Reaction Modeling

Christos Davatzikos, Ali Gooya, George Biros, 2011, IEEE Transactions on Medical Imaging.

Regularized topological data analysis for extraction of coherent brain regions

Christos Davatzikos, Nicolas Honnorat, Ishaan Batta, 2019, Medical Imaging: Image Processing.

Classifying medical images using morphological appearance manifolds

Bilwaj Gaonkar, Christos Davatzikos, Erdem Varol, 2013, 2013 IEEE 10th International Symposium on Biomedical Imaging.

Functional principal component model for high-dimensional brain imaging

Christos Davatzikos, Ciprian M. Crainiceanu, Brian Caffo, 2011, NeuroImage.

Image registration based on boundary mapping

Jerry L. Prince, Christos Davatzikos, R. Nick Bryan, 1996, IEEE Trans. Medical Imaging.

Spatio-temporal deformation analysis of cardiac mr images

Christos Davatzikos, Hari Sundar, H. Sundar, 2009 .

Data-driven Assessment of Structural Image Quality

Christos Davatzikos, Russell T. Shinohara, Mark A. Elliott, 2017, bioRxiv.

Automated segmentation of brain lesions by combining intensity and spatial information

Bilwaj Gaonkar, Christos Davatzikos, R. Nick Bryan, 2010, 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

COMPARE: Classification of Morphological Patterns Using Adaptive Regional Elements

Dinggang Shen, Christos Davatzikos, Yong Fan, 2007, IEEE Transactions on Medical Imaging.

Automated segmentation of cortical necrosis using awavelet based abnormality detection system

Bilwaj Gaonkar, Christos Davatzikos, Kilian M. Pohl, 2011, 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

A framework for predictive modeling of anatomical deformations

Dinggang Shen, Christos Davatzikos, Ashraf Mohamed, 2001, IEEE Transactions on Medical Imaging.

Computational neuroanatomy using brain deformations: From brain parcellation to multivariate pattern analysis and machine learning

Christos Davatzikos, C. Davatzikos, 2016, Medical Image Anal..

Benchmarking of participant-level confound regression strategies for the control of motion artifact in studies of functional connectivity

Christos Davatzikos, Russell T. Shinohara, Simon B. Eickhoff, 2017, NeuroImage.

Estimating regional cerebral blood flow using resting-state functional MRI via machine learning

Christos Davatzikos, Mohamad Habes, Sudipto Dolui, 2019, Journal of Neuroscience Methods.

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

Christos Davatzikos, Despina Kontos, Susan P. Weinstein, 2018, Medical Imaging.

Plasma clusterin concentration is associated with longitudinal brain atrophy in mild cognitive impairment

Christos Davatzikos, Susan M. Resnick, Michael A. Kraut, 2012, NeuroImage.

Voxel-based morphometric analysis using shape transformations.

Christos Davatzikos, C. Davatzikos, 2005, International review of neurobiology.

Vascular risk factors, cerebrovascular reactivity, and the default-mode brain network

Christos Davatzikos, R. Nick Bryan, Mark D'Esposito, 2015, NeuroImage.

Advances in individually-based imaging biomarkers using multi-parametric pattern classification

Christos Davatzikos, 2011, Alzheimer's & Dementia.

Imaging as a Surrogate for the Early Prediction and Assessment of Treatment Response through the Analysis of 4-D Texture Ensembles (ISEPARATE)

Christos Davatzikos, Mitchell D. Schnall, Mark Rosen, 2010, MCV.

Brain mechanics with tumor growth - A 2D finite element analysis using abaqus and a neohookean material model

Christos Davatzikos, R. Nick Bryan, Stelios K. Kyriacou, 1997 .

Nonlinear registration of brain images using deformable models

Christos Davatzikos, 1996, Proceedings of the Workshop on Mathematical Methods in Biomedical Image Analysis.

Nuquantus: Machine learning software for the characterization and quantification of cell nuclei in complex immunofluorescent tissue images

Christos Davatzikos, Nicolas Honnorat, Erdem Varol, 2015, Scientific Reports.

Semi-supervised cluster analysis of imaging data

Roman Filipovych, Christos Davatzikos, Susan M. Resnick, 2011, NeuroImage.

Classification of MRI under the Presence of Disease Heterogeneity using Multi-Task Learning: Application to Bipolar Disorder

Christos Davatzikos, Xiangyang Wang, Tianhao Zhang, 2015, MICCAI.

Medical Image Computing and Computer Assisted Intervention – MICCAI 2018

Alejandro F. Frangi, Gabor Fichtinger, Christos Davatzikos, 2018, Lecture Notes in Computer Science.

Abnormality Detection via Iterative Deformable Registration and Basis-Pursuit Decomposition

Christos Davatzikos, Russell T. Shinohara, Aristeidis Sotiras, 2016, IEEE Transactions on Medical Imaging.

DRAMMS: Deformable Registration via Attribute Matching and Mutual-Saliency Weighting

Christos Davatzikos, Yangming Ou, C. Davatzikos, 2009, IPMI.

Low-constant parallel algorithms for finite element simulations using linear octrees

Christos Davatzikos, Hari Sundar, George Biros, 2007, Proceedings of the 2007 ACM/IEEE Conference on Supercomputing (SC '07).

GraSP: Geodesic Graph-based Segmentation with Shape Priors for the functional parcellation of the cortex

Christos Davatzikos, Ruben C. Gur, Raquel E. Gur, 2015, NeuroImage.

Optimization of energy state transition trajectory supports the development of executive function during youth

Christos Davatzikos, Fabio Pasqualetti, Jason Z. Kim, 2018, bioRxiv.

Brain image registration based on cortical contour mapping

Jerry L. Prince, Christos Davatzikos, Robert 'Nick' Bryan, 1993, 1993 IEEE Conference Record Nuclear Science Symposium and Medical Imaging Conference.

Robust Computation of Mutual Information Using Spatially Adaptive Meshes

Dinggang Shen, Christos Davatzikos, Hari Sundar, 2007, MICCAI.

Predictive modeling of anatomic structures using canonical correlation analysis

Dinggang Shen, Christos Davatzikos, Tianming Liu, 2004, 2004 2nd IEEE International Symposium on Biomedical Imaging: Nano to Macro (IEEE Cat No. 04EX821).

A General and Unifying Framework for Feature Construction, in Image-Based Pattern Classification

Ben Taskar, Christos Davatzikos, Nematollah Batmanghelich, 2009, IPMI.

Multivariate Analysis of Preoperative Magnetic Resonance Imaging Reveals Transcriptomic Classification of de novo Glioblastoma Patients

Christos Davatzikos, Ramana V. Davuluri, Spyridon Bakas, 2019, Front. Comput. Neurosci..

A Bayesian Approach for Construction of Sparse Statistical Shape Models Using Dirichlet Distribution

Hongen Liao, Christos Davatzikos, Ali Gooya, 2013, AE-CAI.

Multi-parametric analysis and registration of brain tumors: Constructing statistical atlases and diagnostic tools of predictive value

Christos Davatzikos, Ali Gooya, Evangelia I. Zacharaki, 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Non-rigid registration between histological and MR images of the prostate: A joint segmentation and registration framework

Dinggang Shen, Christos Davatzikos, John E. Tomaszewski, 2009, CVPR 2009.

Discriminative Sparse Connectivity Patterns for Classification of fMRI Data

Christos Davatzikos, Ruben C. Gur, Raquel E. Gur, 2014, MICCAI.

Interpreting support vector machine models for multivariate group wise analysis in neuroimaging

Bilwaj Gaonkar, Christos Davatzikos, Russell T. Shinohara, 2015, Medical Image Anal..

Deformable registration of cortical structures via hybrid volumetric and surface warping

Dinggang Shen, Christos Davatzikos, Tianming Liu, 2004, NeuroImage.

Statistical shape model for automatic skull-stripping of brain images

Dinggang Shen, Christos Davatzikos, Zhiqiang Lao, 2002, Proceedings IEEE International Symposium on Biomedical Imaging.

Right ventricle segmentation from cardiac MRI: A collation study

Daniel Rueckert, Maria A. Zuluaga, Sébastien Ourselin, 2015, Medical Image Anal..

Longitudinal brain tumor segmentation prediction in MRI using feature and label fusion

Christos Davatzikos, Spyridon Bakas, Khan M. Iftekharuddin, 2020, Biomed. Signal Process. Control..

Simultaneous Geometric - Iconic Registration

Ben Glocker, Nikos Paragios, Christos Davatzikos, 2010, MICCAI.

CLASSIC: Consistent Longitudinal Alignment and Segmentation for Serial Image Computing

Dinggang Shen, Christos Davatzikos, Zhong Xue, 2006, NeuroImage.

Adaptive active contour algorithms for extracting and mapping thick curves

Jerry L. Prince, Christos Davatzikos, 1993, Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.

Statistically optimized biopsy strategy for the diagnosis of prostate cancer

Dinggang Shen, Gabor Fichtinger, Christos Davatzikos, 2001, Proceedings 14th IEEE Symposium on Computer-Based Medical Systems. CBMS 2001.

Investigating machine learning techniques for MRI-based classification of brain neoplasms

Christos Davatzikos, Evangelia I. Zacharaki, Vasileios G. Kanas, 2011, International Journal of Computer Assisted Radiology and Surgery.

O-Net: An Overall Convolutional Network for Segmentation Tasks

Christos Davatzikos, Spyridon Bakas, Aimilia Gastounioti, 2020, MLMI@MICCAI.

Multi-Kernel Classification for Integration of Clinical and Imaging Data: Application to Prediction of Cognitive Decline in Older Adults

Roman Filipovych, Christos Davatzikos, Susan M. Resnick, 2011, MLMI.

Deformable registration of brain tumor images via a statistical model of tumor-induced deformation

Dinggang Shen, Christos Davatzikos, Evangelia I. Zacharaki, 2006, Medical Image Anal..

MUSE: MUlti-atlas region Segmentation utilizing Ensembles of registration algorithms and parameters, and locally optimal atlas selection

Christos Davatzikos, Susan M. Resnick, Ruben C. Gur, 2016, NeuroImage.

Anatomical equivalence class based complete morphological descriptor for robust image analysis and abnormality detection

Christos Davatzikos, Sajjad Baloch, 2008, SPIE Medical Imaging.

A Framework for Predictive Modeling of Intra-operative Deformations: A Simulation-Based Study

Dinggang Shen, Christos Davatzikos, Stelios K. Kyriacou, 2000, MICCAI.

Application and validation of registration framework for real-time atlas guided biopsy

Dinggang Shen, Christos Davatzikos, Dinesh Kant Kumar, 2008, 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Automated tumor volumetry using computer-aided image segmentation.

Bilwaj Gaonkar, Luke Macyszyn, Christos Davatzikos, 2015, Academic radiology.

Statistical representation of high-dimensional deformation fields with application to statistically constrained 3D warping

Dinggang Shen, Christos Davatzikos, Zhong Xue, 2006, Medical Image Anal..

DRAMMS: Deformable Registration via Attribute Matching and Mutual-Saliency Weighting

Nikos Paragios, Christos Davatzikos, Aristeidis Sotiras, 2009, IPMI.

Morphological Analysis of Brain Structures Using Spatial Normalization

Jerry L. Prince, Christos Davatzikos, Stanley Letovsky, 1996, VBC.

MRI signatures of brain age and disease over the lifespan based on a deep brain network and 14 468 individuals worldwide.

Christos Davatzikos, Sterling C. Johnson, Mohamad Habes, 2020, Brain : a journal of neurology.

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

Christos Davatzikos, Spyridon Bakas, Gaurav Shukla, 2018, Medical Imaging.

Estimating myocardial fiber orientations by template warping

Dinggang Shen, Christos Davatzikos, Hari Sundar, 2006, 3rd IEEE International Symposium on Biomedical Imaging: Nano to Macro, 2006..

Mining lesion-deficit associations in a brain image database

Christos Davatzikos, Vasileios Megalooikonomou, Edward Herskovits, 1999, KDD '99.

A 3D model of quasi-static brain mechanics: application to tumor-bearing image registration

Christos Davatzikos, Stelios K. Kyriacou, 1999, Proceedings of the First Joint BMES/EMBS Conference. 1999 IEEE Engineering in Medicine and Biology 21st Annual Conference and the 1999 Annual Fall Meeting of the Biomedical Engineering Society (Cat. N.

Automatic segmentation of white matter lesions in T1-weighted brain MR images

Dinggang Shen, Christos Davatzikos, Susan M. Resnick, 2002, Proceedings IEEE International Symposium on Biomedical Imaging.

Deformable Registration of Brain Tumor Images Via a Statistical Model of Tumor-Induced Deformation

Dinggang Shen, Christos Davatzikos, Ashraf Mohamed, 2005, MICCAI.

Using a statistical shape model to extract sulcal curves on the outer cortex of the human brain

Jerry L. Prince, Christos Davatzikos, Jerry L Prince, 2002, IEEE Transactions on Medical Imaging.

PERSONALIZED BIOMARKERS OF NEURODEGENERATIVE DISEASES USING IMAGING PATTERN ANALYSIS AND MACHINE LEARNING METHODS: THE POWER OF COMBINING MULTIPLE TYPES OF INFORMATION

Christos Davatzikos, 2014, Alzheimer's & Dementia.

Cancer imaging phenomics toolkit: quantitative imaging analytics for precision diagnostics and predictive modeling of clinical outcome

Christos Davatzikos, Ragini Verma, Spyridon Bakas, 2018, Journal of medical imaging.

Finding parametric representations of the cortical sulci using an active contour model

Christos Davatzikos, Marc Vaillant, C. Davatzikos, 1997, Medical Image Anal..

GLISTR: Glioma Image Segmentation and Registration

Christos Davatzikos, Kilian M. Pohl, Ali Gooya, 2012, IEEE Transactions on Medical Imaging.

Multilevel Functional Principal Component Analysis for High-Dimensional Data

Christos Davatzikos, Brian Caffo, Vadim Zipunnikov, 2011, Journal of computational and graphical statistics : a joint publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America.

Modeling Glioma Growth and Mass Effect in 3D MR Images of the Brain

Christos Davatzikos, George Biros, Cosmina Hogea, 2007, MICCAI.

Medical Image Analysis: Human and Machine.

Christos Davatzikos, Suyash Mohan, Robert Nick Bryan, 2020, Academic radiology.

Hierarchical active shape models, using the wavelet transform

Dinggang Shen, Christos Davatzikos, Xiaodong Tao, 2003, IEEE Transactions on Medical Imaging.

Statistical Representation and Simulation of High-Dimensional Deformations: Application to Synthesizing Brain Deformations

Dinggang Shen, Christos Davatzikos, Bilge Karaçali, 2005, MICCAI.

Motion artifact in studies of functional connectivity: Characteristics and mitigation strategies

Danielle S Bassett, Christos Davatzikos, Theodore D Satterthwaite, 2019, Human brain mapping.

Simulation of tissue atrophy using a topology preserving transformation model

Christos Davatzikos, Bilge Karaçali, C. Davatzikos, 2006, IEEE Transactions on Medical Imaging.

Bayesian clustering methods for morphological analysis of MR images

Christos Davatzikos, Hanchuan Peng, Edward Herskovits, 2002, Proceedings IEEE International Symposium on Biomedical Imaging.

Measuring temporal morphological changes robustly in brain MR images via 4-dimensional template warping

Dinggang Shen, Christos Davatzikos, D. Shen, 2004, NeuroImage.

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

Christos Davatzikos, Mohamad Habes, Güray Erus, 2020, NeuroImage.

Classifying spatial patterns of brain activity with machine learning methods: Application to lie detection

Dinggang Shen, Christos Davatzikos, Yong Fan, 2005, NeuroImage.

Control-Group Feature Normalization for Multivariate Pattern Analysis Using the Support Vector Machine

Bilwaj Gaonkar, Christos Davatzikos, Russell T. Shinohara, 2015 .

Groupwise morphometric analysis based on morphological appearance manifold

Christos Davatzikos, Naixiang Lian, 2009, 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops.

Comparative Evaluation of Registration Algorithms in Different Brain Databases With Varying Difficulty: Results and Insights

Christos Davatzikos, Michel Bilello, Yangming Ou, 2014, IEEE Transactions on Medical Imaging.

Feature selection and classification of multiparametric medical images using bagging and SVM

Christos Davatzikos, Yong Fan, Susan M. Resnick, 2008, SPIE Medical Imaging.

Estimating Patient Specific Templates for Pre-operative and Follow-Up Brain Tumor Registration

Christos Davatzikos, Michel Bilello, Ke Zeng, 2015, MICCAI.

Smile-GANs: Semi-supervised clustering via GANs for dissecting brain disease heterogeneity from medical images pdf

Christos Davatzikos, Junhao Wen, Zhijian Yang, 2020, ArXiv.

Advancing The Cancer Genome Atlas glioma MRI collections with expert segmentation labels and radiomic features

Christos Davatzikos, Spyridon Bakas, Michel Bilello, 2017, Scientific Data.

Deriving Statistical Significance Maps for SVM Based Image Classification and Group Comparisons

Bilwaj Gaonkar, Christos Davatzikos, 2012, MICCAI.

Capturing heterogeneous group differences using mixture-of-experts: Application to a study of aging

Christos Davatzikos, Susan M. Resnick, Harini Eavani, 2016, NeuroImage.

A robust framework for soft tissue simulations with application to modeling brain tumor mass effect in 3D MR images

Christos Davatzikos, George Biros, Feby Abraham, 2007, Physics in medicine and biology.

Combining Outlier Detection with Random Walker for Automatic Brain Tumor Segmentation

Christos Davatzikos, Evangelia I. Zacharaki, Anastasios Bezerianos, 2012, AIAI.

Correspondence Detection Using Wavelet-Based Attribute Vectors

Dinggang Shen, Christos Davatzikos, Zhong Xue, 2003, MICCAI.

A Framework for Scalable Biophysics-based Image Analysis

Christos Davatzikos, George Biros, Klaudius Scheufele, 2017, SC17: International Conference for High Performance Computing, Networking, Storage and Analysis.

MIDAS: Regionally linear multivariate discriminative statistical mapping

Christos Davatzikos, Aristeidis Sotiras, Erdem Varol, 2018, NeuroImage.

Combining statistical and biomechanical models for estimation of anatomical deformations

Russell H. Taylor, Christos Davatzikos, Ashraf Mohamed, 2006 .

Narrow band region-scalable fitting model for image segmentation in the presence of intensity inhomogeneities

Christos Davatzikos, Chunming Li, Mei Xie, 2011, 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Convergence analysis of the active contour model with applications to medical images

Jerry L. Prince, Christos Davatzikos, Jerry L Prince, 1992, Other Conferences.

Registration of unseen images based on the generative manifold modeling of variations of appearance and anatomical shape in brain population

Weiwei Zhang, Christos Davatzikos, 2012, 2012 IEEE Workshop on Mathematical Methods in Biomedical Image Analysis.

Evaluation of non-negative matrix factorization of grey matter in age prediction

Christos Davatzikos, Simon B. Eickhoff, Katrin Amunts, 2018, NeuroImage.

Morphological appearance manifolds in computational anatomy: Groupwise registration and morphological analysis

Christos Davatzikos, Sajjad Baloch, C. Davatzikos, 2008, NeuroImage.

Structured Outlier Detection in Neuroimaging Studies with Minimal Convex Polytopes

Christos Davatzikos, Aristeidis Sotiras, Erdem Varol, 2016, MICCAI.

Skull-Stripping of Glioblastoma MRI Scans Using 3D Deep Learning

Christos Davatzikos, Spyridon Bakas, Uday Kulkarni, 2019, BrainLes@MICCAI.

A Joint Transformation and Residual Image Descriptor for Morphometric Image Analysis using an Equivalence Class Formulation

Christos Davatzikos, Ragini Verma, Bilge Karaçali, 2006, 2006 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'06).

Brain abnormality segmentation based on l1-norm minimization

Christos Davatzikos, Ke Zeng, Güray Erus, 2014, Medical Imaging.

Targeted Prostate Biopsy Using Statistical Image Analysis

Dinggang Shen, Gabor Fichtinger, Christos Davatzikos, 2007, IEEE Transactions on Medical Imaging.

Determining correspondence in 3-D MR brain images using attribute vectors as morphological signatures of voxels

Dinggang Shen, Christos Davatzikos, Zhong Xue, 2004, IEEE Transactions on Medical Imaging.

Optimally-Discriminative Voxel-Based Morphometry significantly increases the ability to detect group differences in schizophrenia, mild cognitive impairment, and Alzheimer's disease

Christos Davatzikos, Tianhao Zhang, C. Davatzikos, 2013, NeuroImage.

Classification of brain tumor type and grade using MRI texture and shape in a machine learning scheme

Christos Davatzikos, Sumei Wang, Sanjeev Chawla, 2009, Magnetic resonance in medicine.

An EM algorithm for brain tumor image registration: A tumor growth modeling based approach

Christos Davatzikos, Ali Gooya, George Biros, 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Workshops.

Convexity analysis of active contour problems

Jerry L. Prince, Christos Davatzikos, 1999, Image Vis. Comput..

Deformable Registration of Tumor-Diseased Brain Images

Dinggang Shen, Christos Davatzikos, Tianming Liu, 2004, MICCAI.

Analytic estimation of statistical significance maps for support vector machine based multi-variate image analysis and classification

Bilwaj Gaonkar, Christos Davatzikos, C. Davatzikos, 2013, NeuroImage.

CHIMERA: Clustering of Heterogeneous Disease Effects via Distribution Matching of Imaging Patterns

Bilwaj Gaonkar, Christos Davatzikos, Aoyan Dong, 2016, IEEE Transactions on Medical Imaging.

Automated segmentation of white matter lesions in 3D brain MR images, using multivariate pattern classification

Dinggang Shen, Christos Davatzikos, Bilge Karaçali, 2006, 3rd IEEE International Symposium on Biomedical Imaging: Nano to Macro, 2006..

Integrative radiomic analysis for pre-surgical prognostic stratification of glioblastoma patients: from advanced to basic MRI protocols

Christos Davatzikos, Michel Bilello, Russell T. Shinohara, 2020, Medical Imaging: Image-Guided Procedures.

Machine learning as a means toward precision diagnostics and prognostics

Bilwaj Gaonkar, Christos Davatzikos, Aoyan Dong, 2016 .

GLISTRboost: Combining Multimodal MRI Segmentation, Registration, and Biophysical Tumor Growth Modeling with Gradient Boosting Machines for Glioma Segmentation

Bilwaj Gaonkar, Christos Davatzikos, Spyridon Bakas, 2015, Brainles@MICCAI.

A Biomechanical Model of Soft Tissue Deformation, with Applications to Non-rigid Registration of Brain Images with Tumor Pathology

Christos Davatzikos, Stelios K. Kyriacou, C. Davatzikos, 1998, MICCAI.

QSIPrep: An integrative platform for preprocessing and reconstructing diffusion MRI

Christos Davatzikos, Mark A. Elliott, Beatriz Luna, 2020, bioRxiv.

Automatic classification of sulcal regions of the human brain cortex using pattern recognition

Dinggang Shen, Jerry L. Prince, Christos Davatzikos, 2003, SPIE Medical Imaging.

A review on neuroimaging-based classification studies and associated feature extraction methods for Alzheimer's disease and its prodromal stages

Christos Davatzikos, Mohamad Habes, Saima Rathore, 2017, NeuroImage.

Neuroimaging of the Philadelphia Neurodevelopmental Cohort

Christos Davatzikos, Ragini Verma, Mark A. Elliott, 2014, NeuroImage.

Statistically-based reorientation of diffusion tensor field

Dinggang Shen, Christos Davatzikos, Dongrong Xu, 2002, Proceedings IEEE International Symposium on Biomedical Imaging.

Estimating topology preserving and smooth displacement fields

Christos Davatzikos, Bilge Karaçali, C. Davatzikos, 2004, IEEE Transactions on Medical Imaging.

Machine learning based imaging biomarkers in large scale population studies: A neuroimaging perspective

Christos Davatzikos, Mohamad Habes, Guray Erus, 2020 .

Application of statistical cancer atlas for 3D biopsy

Dinggang Shen, Christos Davatzikos, Dinesh Kant Kumar, 2008, Electronic Imaging.

Sparse low-dimensional causal modeling for the analysis of brain function

Christos Davatzikos, Dushyant Sahoo, Nicolas Honnorat, 2019, Medical Imaging: Image Processing.

Statistically-Constrained High-Dimensional Warping Using Wavelet-Based Priors

Dinggang Shen, Christos Davatzikos, Zhong Xue, 2006, 2006 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'06).

T1ρ MRI of Alzheimer's disease

Christos Davatzikos, Arijitt Borthakur, Christopher M. Clark, 2008, NeuroImage.

Statistical Study on Cortical Sulci of Human Brains

Xiao Han, Jerry L. Prince, Christos Davatzikos, 2001, IPMI.

Medical Image Computing and Computer Assisted Intervention – MICCAI 2018

Alejandro F. Frangi, Gabor Fichtinger, Christos Davatzikos, 2018, Lecture Notes in Computer Science.

A Deep Network for Joint Registration and Reconstruction of Images with Pathologies pdf

Christos Davatzikos, Spyridon Bakas, Marc Niethammer, 2020, MLMI@MICCAI.

Nonlinear elastic registration of brain images with tumor pathology using a biomechanical model [MRI]

Christos Davatzikos, R. Nick Bryan, S. James Zinreich, 1999, IEEE Transactions on Medical Imaging.

Patient-Specific Registration of Pre-operative and Post-recurrence Brain Tumor MRI Scans

Xu Han, Christos Davatzikos, Spyridon Bakas, 2018, BrainLes@MICCAI.

Feature ranking based nested support vector machine ensemble for medical image classification

Bilwaj Gaonkar, Christos Davatzikos, Erdem Varol, 2012, 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI).

Morphological Classification: Application to Cardiac MRI of Tetralogy of Fallot

Christos Davatzikos, Kilian M. Pohl, Dong Hye Ye, 2011, FIMH.

Kernel-Based Manifold Learning for Statistical Analysis of Diffusion Tensor Images

Christos Davatzikos, Ragini Verma, Parmeshwar Khurd, 2007, IPMI.

Diagnosis of Brain Abnormality Using both Structural and Functional MR Images

Christos Davatzikos, Yong Fan, Dinggang Shen, 2006, EMBC 2006.

Accuracy and sensitivity analysis of statistical parametric mapping using a computer simulation study

Christos Davatzikos, Henry Li, Susan Resnickt, 1999 .

Automated morphometric study of brain variation in XXY males

Dinggang Shen, Christos Davatzikos, Jay N. Giedd, 2004, NeuroImage.

A Bayesian Approach to Sparse Model Selection in Statistical Shape Models

Alejandro F. Frangi, Christos Davatzikos, Ali Gooya, 2015, SIAM J. Imaging Sci..

Simulating deformations of MR brain images for validation of atlas-based segmentation and registration algorithms

Dinggang Shen, Christos Davatzikos, David A. Rottenberg, 2006, NeuroImage.

Machine learning in neuroimaging: Progress and challenges

Christos Davatzikos, C. Davatzikos, 2019, NeuroImage.

Precision diagnostics based on machine learning-derived imaging signatures.

Christos Davatzikos, Spyridon Bakas, Mohamad Habes, 2019, Magnetic resonance imaging.

JointMMCC: Joint Maximum-Margin Classification and Clustering of Imaging Data

Roman Filipovych, Christos Davatzikos, Susan M. Resnick, 2012, IEEE Transactions on Medical Imaging.

Sparse Dictionary Learning of Resting State fMRI Networks

Roman Filipovych, Christos Davatzikos, Ruben C. Gur, 2012, 2012 Second International Workshop on Pattern Recognition in NeuroImaging.

Quantitative assessment of structural image quality

M. Dylan Tisdall, Christos Davatzikos, Russell T. Shinohara, 2018, NeuroImage.

Associations between cognitive and brain volume changes in cognitively normal older adults

Christos Davatzikos, Susan M. Resnick, Yang An, 2020, NeuroImage.

On Characterizing and Analyzing Diffusion Tensor Images by Learning their Underlying Manifold Structure

Christos Davatzikos, Ragini Verma, Parmeshwar Khurd, 2006, 2006 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'06).

Hierarchical Matching of Cortical Features for Deformable Brain Image Registration

Christos Davatzikos, Marc Vaillant, C. Davatzikos, 1999, IPMI.

Learning high-dimensional image statistics for abnormality detection on medical images

Christos Davatzikos, Evangelia I. Zacharaki, R. Nick Bryan, 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Workshops.

Convexity analysis of active contour problems

Jerry L. Prince, Christos Davatzikos, 1996, Proceedings CVPR IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

Control-group feature normalization for multivariate pattern analysis of structural MRI data using the support vector machine

Bilwaj Gaonkar, Christos Davatzikos, Russell T. Shinohara, 2016, NeuroImage.

Optimized prostate biopsy via a statistical atlas of cancer spatial distribution

Dinggang Shen, Wei Zhang, Gabor Fichtinger, 2004, Medical Image Anal..

Manifold Learning Techniques in Image Analysis of High-dimensional Diffusion Tensor Magnetic Resonance Images

Christos Davatzikos, Ragini Verma, Ruben C. Gur, 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.

Segmentation of Gliomas in Pre-operative and Post-operative Multimodal Magnetic Resonance Imaging Volumes Based on a Hybrid Generative-Discriminative Framework

Christos Davatzikos, Spyridon Bakas, Aristeidis Sotiras, 2016, BrainLes@MICCAI.

Signal Processing Society

Nico Karssemeijer, Milan Sonka, Daniel Rueckert, 2009 .

Deformable registration using cortical features

Christos Davatzikos, Marc Vaillant, C. Davatzikos, 1999 .

Corrigendum to “Non-diffeomorphic registration of brain tumor images by simulating tissue loss and tumor growth” [NeuroImage 46 (2009) 762–774]

Christos Davatzikos, Evangelia I. Zacharaki, George Biros, 2009, NeuroImage.

Semi-supervised Pattern Classification: Application to Structural MRI of Alzheimer's Disease

Christos Davatzikos, Kilian M. Pohl, Dong Hye Ye, 2011, 2011 International Workshop on Pattern Recognition in NeuroImaging.

Riccati-Regularized Precision Matrices for Neuroimaging

Christos Davatzikos, Nicolas Honnorat, C. Davatzikos, 2016, IPMI.

Extrapolated nonnegative decompositions for the analysis of functional connectivity

Christos Davatzikos, Nicolas Honnorat, 2018, Medical Imaging.

Pattern Based Morphometry

Bilwaj Gaonkar, Christos Davatzikos, Kilian M. Pohl, 2011, MICCAI.

Evaluation of closed-head injury with a brain-image database: Statistical analysis and simulation

Christos Davatzikos, R. Nick Bryan, Vasileios Megalooikonomou, 1999 .

Subject-Specific Structural Parcellations Based on Randomized AB-divergences

Christos Davatzikos, Ragini Verma, Drew Parker, 2017, MICCAI.

Disentangling Disease Heterogeneity with Max-Margin Multiple Hyperplane Classifier

Christos Davatzikos, Aristeidis Sotiras, Erdem Varol, 2015, MICCAI.

Benchmarking confound regression strategies for the control of motion artifact in studies of functional connectivity

Christos Davatzikos, Russell T. Shinohara, Simon B. Eickhoff, 2016, 1608.03616.

Individualized statistical learning from medical image databases: Application to identification of brain lesions

Christos Davatzikos, Evangelia I. Zacharaki, Güray Erus, 2014, Medical Image Anal..

Statistical atlases and machine learning tools applied to optimized prostate biopsy for cancer detection and estimation of volume and Gleason score

Christos Davatzikos, 2011, 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Harmonization of large multi-site imaging datasets: Application to 10,232 MRIs for the analysis of imaging patterns of structural brain change throughout the lifespan

Christos Davatzikos, Russell T. Shinohara, Yong Fan, 2019, bioRxiv.

Individual Variation in Control Network Topography Supports Executive Function in Youth

Christos Davatzikos, Russell T. Shinohara, Yong Fan, 2019, bioRxiv.

Technical note: a radiomic signature of infiltration in peritumoral edema predicts subsequent recurrence in glioblastoma

Christos Davatzikos, Jimit Doshi, Michel Bilello, 2018, Medical Imaging.

An active contour model for mapping the cortex

Jerry L. Prince, Christos Davatzikos, Jerry L Prince, 1995, IEEE Trans. Medical Imaging.

3-D statistical cancer atlas-based targeting of prostate biopsy using ultrasound image guidance

Dinggang Shen, Christos Davatzikos, Dinesh Kant Kumar, 2008, SPIE Medical Imaging.

Medical Image Computing and Computer Assisted Intervention – MICCAI 2018

Alejandro F. Frangi, Gabor Fichtinger, Christos Davatzikos, 2018, Lecture Notes in Computer Science.

Pattern analysis in neuroimaging: Beyond two‐class categorization

Ying Wang, Roman Filipovych, Christos Davatzikos, 2011, Int. J. Imaging Syst. Technol..

Manifold-constrained embeddings for the detection of white matter lesions in brain MRI

Nikos Paragios, Christos Davatzikos, Evangelia I. Zacharaki, 2012, 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI).

New Results - Fusion/Registration

Ben Glocker, Nikos Komodakis, Nikos Paragios, 2011 .

A Statistical Atlas of Prostate Cancer for Optimal Biopsy

Dinggang Shen, Gabor Fichtinger, Christos Davatzikos, 2001, MICCAI.

Spatiotemporal maturation patterns of murine brain quantified by diffusion tensor MRI and deformation-based morphometry

Christos Davatzikos, Ragini Verma, Susumu Mori, 2005, Proc. Natl. Acad. Sci. USA.

Relations of brain volumes with cognitive function in males 45 years and older with past lead exposure

Christos Davatzikos, Walter F. Stewart, Brian Caffo, 2007, NeuroImage.

Finite Element Modeling of Brain Tumor Mass-Effect from 3D Medical Images

Christos Davatzikos, Ashraf Mohamed, C. Davatzikos, 2005, MICCAI.

DeepMRSeg: A convolutional deep neural network for anatomy and abnormality segmentation on MR images pdf

Christos Davatzikos, Mohamad Habes, Jimit Doshi, 2019, ArXiv.

GRAM: A framework for geodesic registration on anatomical manifolds

Christos Davatzikos, Dong Hye Ye, Ragini Verma, 2010, Medical Image Anal..

Manifold based Morphometry applied to schizophrenia

Christos Davatzikos, Ragini Verma, Ruben C. Gur, 2008, 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

A path-planning algorithm for image-guided neurosurgery

Russell H. Taylor, Christos Davatzikos, R. Nick Bryan, 1997, CVRMed.

Multi-atlas skull-stripping.

Bilwaj Gaonkar, Christos Davatzikos, Jimit Doshi, 2013, Academic radiology.

ODVBA: Optimally-Discriminative Voxel-Based Analysis

Christos Davatzikos, Tianhao Zhang, C. Davatzikos, 2011, IEEE Transactions on Medical Imaging.

Measuring biological shape using geometry-based shape transformations

Max A. Viergever, Christos Davatzikos, M. Viergever, 2001, Image Vis. Comput..

PROBABILISTIC SEGMENTATION OF BRAIN TUMORS BASED ON MULTI-MODALITY MAGNETIC RESONANCE IMAGES

Christos Davatzikos, Ragini Verma, Hongmin Cai, 2007, 2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Statistically-constrained robust diffeomorphic registration

Christos Davatzikos, Aristeidis Sotiras, Ke Zeng, 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018).

A novel 2D-3D registration algorithm for aligning fluoro images with 3D pre-op CT/MR images

Christos Davatzikos, Hari Sundar, Frank Sauer, 2006, SPIE Medical Imaging.

Deformable Medical Image Registration: A Survey

Nikos Paragios, Christos Davatzikos, Aristeidis Sotiras, 2013, IEEE Transactions on Medical Imaging.

Disease classification and prediction via semi-supervised dimensionality reduction

Ben Taskar, Christos Davatzikos, Kilian M. Pohl, 2011, 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Spatial patterns of brain atrophy in MCI patients, identified via high-dimensional pattern classification, predict subsequent cognitive decline

et al., Christos Davatzikos, Nematollah Batmanghelich, 2008, NeuroImage.

A Combined Statistical and Biomechanical Model for Estimation of Intra-operative Prostate Deformation

Russell H. Taylor, Christos Davatzikos, Ashraf Mohamed, 2002, MICCAI.

Shape Representation via Best Orthogonal Basis Selection

Christos Davatzikos, Ashraf Mohamed, C. Davatzikos, 2004, MICCAI.

Proceedings - Workshop on Brain Decoding: Pattern Recognition Challenges in Neuroimaging, WBD 2010 - In Conjunction with the-International Conference on Pattern Recognition, ICPR 2010: Preface

Dimitri Van De Ville, Christos Davatzikos, Janaina Mourao-Miranda, 2010 .

Validation of DRAMMS among 12 Popular Methods in Cross-Subject Cardiac MRI Registration

Christos Davatzikos, Kilian M. Pohl, Dong Hye Ye, 2012, WBIR.

A superpixel-based framework for automatic tumor segmentation on breast DCE-MRI

Bilwaj Gaonkar, Christos Davatzikos, Jia Wu, 2015, Medical Imaging.

Non-invasive transcriptomic classification of de novo Glioblastoma patients through multivariate quantitative analysis of baseline preoperative multimodal magnetic resonance imaging

Christos Davatzikos, Spyridon Bakas, Donald M. O'Rourke, 2019, Medical Imaging.

An adaptive-focus statistical shape model for segmentation and shape modeling of 3-D brain structures

Dinggang Shen, Christos Davatzikos, Edward Herskovits, 2001, IEEE Transactions on Medical Imaging.

Longitudinally and inter-site consistent multi-atlas based parcellation of brain anatomy using harmonized atlases

Christos Davatzikos, Jimit Doshi, Yang An, 2018, NeuroImage.

Morphological classification of medical images using nonlinear support vector machines

Dinggang Shen, Christos Davatzikos, Bilge Karaçali, 2004, 2004 2nd IEEE International Symposium on Biomedical Imaging: Nano to Macro (IEEE Cat No. 04EX821).

IM-14 High-dimensional pattern classification for individual patient analysis: Constructing diagnostic tools

Christos Davatzikos, C. Davatzikos, 2007, Alzheimer's & Dementia.

Computational neuroanatomy using shape transformations

Christos Davatzikos, C. Davatzikos, 2000 .

Multivariate fMRI Analysis Using Optimally-discriminative Voxel-based Analysis

Christos Davatzikos, Mark A. Elliott, Tianhao Zhang, 2012, 2012 Second International Workshop on Pattern Recognition in NeuroImaging.

Multiparametric tissue abnormality characterization using manifold regularization

Xiaoying Wu, Christos Davatzikos, Nematollah Batmanghelich, 2008, SPIE Medical Imaging.

New Results - Shape, Landmark & Image-based Deformable Registration

Ben Glocker, Nikos Paragios, Christos Davatzikos, 2009 .

NIMG-70. QUANTITATIVE IMAGE ANALYSIS AND MACHINE LEARNING TECHNIQUES FOR DISTINGUISHING TRUE PROGRESSION FROM PSEUDOPROGRESSION IN PATIENTS WITH GLIOBLASTOMA

Christos Davatzikos, Spyridon Bakas, Ronald L. Wolf, 2018, Neuro-Oncology.

An automated method for finding curves of sulcal fundi on human cortical surfaces

Jerry L. Prince, Christos Davatzikos, Xiaodong Tao, 2004, 2004 2nd IEEE International Symposium on Biomedical Imaging: Nano to Macro (IEEE Cat No. 04EX821).

Diagnosis of Brain Abnormality Using both Structural and Functional MR Images

Dinggang Shen, Christos Davatzikos, Jiongjiong Wang, 2006, 2006 International Conference of the IEEE Engineering in Medicine and Biology Society.

Structural and functional biomarkers of prodromal Alzheimer's disease: A high-dimensional pattern classification study

Xiaoying Wu, Christos Davatzikos, Yong Fan, 2008, NeuroImage.

An Adaptive-Focus Deformable Model Using Statistical and Geometric Information

Dinggang Shen, Christos Davatzikos, D. Shen, 2000, IEEE Trans. Pattern Anal. Mach. Intell..

Regionally discriminative multivariate statistical mapping

Christos Davatzikos, Aristeidis Sotiras, Erdem Varol, 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018).

On Analyzing Diffusion Tensor Images by Identifying Manifold Structure Using Isomaps

Christos Davatzikos, Ragini Verma, Parmeshwar Khurd, 2007, IEEE Transactions on Medical Imaging.

Radiomic signature of infiltration in peritumoral edema predicts subsequent recurrence in glioblastoma: implications for personalized radiotherapy planning

Christos Davatzikos, Jimit Doshi, Michel Bilello, 2018, Journal of medical imaging.

Supervised Block Sparse Dictionary Learning for Simultaneous Clustering and Classification in Computational Anatomy

Christos Davatzikos, Erdem Varol, C. Davatzikos, 2014, MICCAI.

A statistical approach for estimating brain tumor induced deformation

Christos Davatzikos, Ashraf Mohamed, Stelios K. Kyriacou, 2001, Proceedings IEEE Workshop on Mathematical Methods in Biomedical Image Analysis (MMBIA 2001).

Cascaded Segmentation of Brain Tumors Using Multi-Modality MR Profiles

Christos Davatzikos, Ragini Verma, Elias R. Melhem, 2007 .

Computer-assisted Segmentation of White Matter Lesions in 3d Mr Images Using Support Vector Machine 1

Christos Davatzikos, Dinggang Shen, Zhiqiang Lao, 2022 .

Finite element mesh generation and remeshing from segmented medical images

Christos Davatzikos, Ashraf Mohamed, C. Davatzikos, 2004, 2004 2nd IEEE International Symposium on Biomedical Imaging: Nano to Macro (IEEE Cat No. 04EX821).

High-dimensional Pattern Regression Using Machine Learning: from Medical Images to Continuous Clinical Variables However, Support Vector Regression Has Some Disadvantages That Become Especially

Ying Wang, Christos Davatzikos, Yong Fan, 2022 .

PORTR: Pre-Operative and Post-Recurrence Brain Tumor Registration

Christos Davatzikos, Kilian M. Pohl, Marc Niethammer, 2014, IEEE Transactions on Medical Imaging.

Baseline and longitudinal patterns of brain atrophy in MCI patients, and their use in prediction of short-term conversion to AD: Results from ADNI

Christos Davatzikos, Yong Fan, Chandan Misra, 2009, NeuroImage.

Voxel-Based Morphometry Using the RAVENS Maps: Methods and Validation Using Simulated Longitudinal Atrophy

Christos Davatzikos, Dongrong Xu, Susan M. Resnick, 2001, NeuroImage.

An Anatomical Equivalence Class Based Joint Transformation-Residual Descriptor for Morphological Analysis

Christos Davatzikos, Ragini Verma, Sajjad Baloch, 2007, IPMI.

Brain--Tumor Interaction Biophysical Models for Medical Image Registration

Christos Davatzikos, George Biros, Cosmina Hogea, 2008, SIAM J. Sci. Comput..

CLASSIC: Consistent Longitudinal Alignment and Segmentation for Serial Image Computing

Dinggang Shen, Christos Davatzikos, Zhong Xue, 2005, IPMI.

Quantification of tumor changes during neoadjuvant chemotherapy with longitudinal breast DCE-MRI registration

Christos Davatzikos, Jia Wu, Mark Rosen, 2015, Medical Imaging.

Detecting Cognitive States from fMRI Images by Machine Learning and Multivariate Classification

Dinggang Shen, Christos Davatzikos, Yong Fan, 2006, 2006 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'06).

Nonrigid volume registration using second-order MRF model

Sang Uk Lee, Christos Davatzikos, Kilian M. Pohl, 2012, 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI).

Dynamic Bayesian network modeling for longitudinal brain morphometry

Christos Davatzikos, Susan M. Resnick, Rong Chen, 2012, NeuroImage.

Using the Fast Marching Method to Extract Curves with Given Global Properties

Jerry L. Prince, Christos Davatzikos, Xiaodong Tao, 2005, MICCAI.

Imaging genomics in cancer research: limitations and promises.

Christos Davatzikos, Li Yang, Paul Zhang, 2016, The British journal of radiology.

Medical Image Harmonization Using Deep Learning Based Canonical Mapping: Toward Robust and Generalizable Learning in Imaging pdf

Christos Davatzikos, John C. Morris, Sterling C. Johnson, 2020, ArXiv.

Generative Discriminative Models for Multivariate Inference and Statistical Mapping in Medical Imaging

Christos Davatzikos, Aristeidis Sotiras, Ke Zeng, 2018, MICCAI.

NIMG-20. IMAGING PATTERN ANALYSIS REVEALS THREE DISTINCT PHENOTYPIC SUBTYPES OF GBM WITH DIFFERENT SURVIVAL RATES

Christos Davatzikos, Spyridon Bakas, Saima Rathore, 2016 .

HAMMER: hierarchical attribute matching mechanism for elastic registration

Dinggang Shen, Christos Davatzikos, 2001, Proceedings IEEE Workshop on Mathematical Methods in Biomedical Image Analysis (MMBIA 2001).

Connectivity-based analysis: Application to white matter maturation in mouse brain

Christos Davatzikos, Ragini Verma, Youssef Rouchdy, 2012, 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI).

GPU accelerated extraction of sparse Granger causality patterns

Christos Davatzikos, Dushyant Sahoo, Nicolas Honnorat, 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018).

Mapping the Cerebral Sulci: Application to Morphological Analysis of the Cortex and to Non-rigid Registration

Christos Davatzikos, Marc Vaillant, 1997, IPMI.

High resolution robust and smooth precision matrices to capture functional connectivity

Christos Davatzikos, Nicolas Honnorat, 2018, Medical Imaging.

A Comparative Study of Biomechanical Simulators in Deformable Registration of Brain Tumor Images

Christos Davatzikos, Evangelia I. Zacharaki, George Biros, 2008, IEEE Transactions on Biomedical Engineering.

A Bayesian morphometry algorithm

Christos Davatzikos, Hanchuan Peng, Edward Herskovits, 2004, IEEE Transactions on Medical Imaging.

Non-diffeomorphic registration of brain tumor images by simulating tissue loss and tumor growth

Dinggang Shen, Christos Davatzikos, Evangelia I. Zacharaki, 2009, NeuroImage.

Diffusion Tensor Image Registration Using Tensor Geometry and Orientation Features

Dinggang Shen, Christos Davatzikos, Ragini Verma, 2008, MICCAI.

Spatial Transformation and Registration of Brain Images Using Elastically Deformable Models

Christos Davatzikos, C. Davatzikos, 1997, Comput. Vis. Image Underst..

Identifying Multivariate Imaging Patterns: Supervised, Semi-Supervised, and Unsupervised Learning Perspectives

Bilwaj Gaonkar, Roman Filipovych, Christos Davatzikos, 2014 .

Measuring Brain Lesion Progression with a Supervised Tissue Classification System

Christos Davatzikos, Evangelia I. Zacharaki, R. Nick Bryan, 2008, MICCAI.

Non-locally regularized segmentation of multiple sclerosis lesion from multi-channel MRI data.

Yilong Yin, Christos Davatzikos, Chaolu Feng, 2014, Magnetic resonance imaging.

ORBIT: A Multiresolution Framework for Deformable Registration of Brain Tumor Images

Dinggang Shen, Christos Davatzikos, Evangelia I. Zacharaki, 2008, IEEE Transactions on Medical Imaging.

Improved brain tumor segmentation by utilizing tumor growth model in longitudinal brain MRI

Christos Davatzikos, Khan M. Iftekharuddin, Wei Li, 2017, Medical Imaging.

Methodology to study the three-dimensional spatial distribution of prostate cancer and their dependence on clinical parameters

Christos Davatzikos, Kevin J Parker, Yangming Ou, 2015, Journal of medical imaging.

Medical Image Computing and Computer Assisted Intervention – MICCAI 2018: 21st International Conference, Granada, Spain, September 16-20, 2018, Proceedings, Part I

Alejandro F. Frangi, Gabor Fichtinger, Gerhard Goos, 2018, MICCAI.

Heterogeneous impact of motion on fundamental patterns of developmental changes in functional connectivity during youth

Christos Davatzikos, Simon B. Eickhoff, Ragini Verma, 2013, NeuroImage.

Semi-supervised pattern classification of medical images: Application to mild cognitive impairment (MCI)

Roman Filipovych, Christos Davatzikos, C. Davatzikos, 2011, NeuroImage.

Accuracy and Sensitivity of Detection of Activation Foci in the Brain via Statistical Parametric Mapping: A Study Using a PET Simulator

Christos Davatzikos, Susan M. Resnick, Edward Herskovits, 2001, NeuroImage.

Matching of diffusion tensor images using Gabor features

Christos Davatzikos, Ragini Verma, C. Davatzikos, 2004, 2004 2nd IEEE International Symposium on Biomedical Imaging: Nano to Macro (IEEE Cat No. 04EX821).

Morphological Appearance Manifolds in Computational Anatomy: Groupwise Registration and Morphological Analysis

Christos Davatzikos, Naixiang Lian, 2009, ISBI.

Very High-Resolution Morphometry Using Mass-Preserving Deformations and HAMMER Elastic Registration

Dinggang Shen, Christos Davatzikos, D. Shen, 2003, NeuroImage.

Nonlinear Discriminant Graph Embeddings for Detecting White Matter Lesions in FLAIR MRI

Christos Davatzikos, Samuel Kadoury, Güray Erus, 2012, MLMI.

Topology Preservation and Regularity in Estimated Deformation Fields

Christos Davatzikos, Bilge Karaçali, C. Davatzikos, 2003, IPMI.

A Framework for Callosal Fiber Distribution Analysis

Christos Davatzikos, Dongrong Xu, Susumu Mori, 2002, NeuroImage.

Optimally-Discriminative Voxel-Based Analysis

Christos Davatzikos, Tianhao Zhang, C. Davatzikos, 2010, MICCAI.

Medical Image Computing and Computer Assisted Intervention – MICCAI 2018

Alejandro F. Frangi, Gabor Fichtinger, Christos Davatzikos, 2018, Lecture Notes in Computer Science.

Morphometric Analysis Of Normal And Pathologic Brain Structure Via High-Dimensional Shape Transformations

Christos Davatzikos, Ashraf Mohamed, C. Davatzikos, 2007 .

The Cancer Imaging Phenomics Toolkit (CaPTk): Technical Overview

Christos Davatzikos, Russell T. Shinohara, Spyridon Bakas, 2019, BrainLes@MICCAI.

PDE-constrained optimization in medical image analysis

Christos Davatzikos, George Biros, Amir Gholami, 2018, Optimization and Engineering.

Efficient Large Deformation Registration via Geodesics on a Learned Manifold of Images

Christos Davatzikos, Ragini Verma, Jihun Hamm, 2009, MICCAI.

ODVBA-C: Optimally-Discriminative Voxel-Based Analysis of Continuous Variables

Christos Davatzikos, Tianhao Zhang, Theodore D. Satterthwaite, 2013, 2013 International Workshop on Pattern Recognition in Neuroimaging.

A Review of Deep Learning in Medical Imaging: Imaging Traits, Technology Trends, Case Studies With Progress Highlights, and Future Promises pdf

Ronald M. Summers, Jerry L. Prince, Daniel Rueckert, 2020, Proceedings of the IEEE.

Brain Cancer Imaging Phenomics Toolkit (brain-CaPTk): An Interactive Platform for Quantitative Analysis of Glioblastoma

Christos Davatzikos, Ragini Verma, Spyridon Bakas, 2017, BrainLes@MICCAI.

Machine learning-based imaging biomarkers improve statistical power in clinical trials

Christos Davatzikos, Russell T. Shinohara, Mohamad Habes, 2019 .

Application of trace-norm and low-rank matrix decomposition for computational anatomy

Ben Taskar, Christos Davatzikos, Ali Gooya, 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Workshops.

Coupling brain-tumor biophysical models and diffeomorphic image registration.

Christos Davatzikos, George Biros, Klaudius Scheufele, 2017, Computer methods in applied mechanics and engineering.

Overall survival prediction in glioblastoma patients using structural magnetic resonance imaging (MRI): advanced radiomic features may compensate for lack of advanced MRI modalities

Christos Davatzikos, Michel Bilello, Gaurav Shukla, 2020, Journal of medical imaging.

Lasting consequences of concussion on the aging brain: Findings from the Baltimore Longitudinal Study of Aging

Christos Davatzikos, Susan M. Resnick, Bennett A. Landman, 2020, NeuroImage.

Mitigating head motion artifact in functional connectivity MRI

Danielle S Bassett, Christos Davatzikos, Matthew Cieslak, 2018, Nature Protocols.

Disentangling Alzheimer’s disease neurodegeneration from typical brain ageing using machine learning pdf

Christos Davatzikos, Tanweer Rashid, Ilya M. Nasrallah, 2021, Brain communications.

Embracing the Disharmony in Heterogeneous Medical Data pdf

Christos Davatzikos, Pratik Chaudhari, Rongguang Wang, 2021, ArXiv.

Learning Robust Hierarchical Patterns of Human Brain across Many fMRI Studies pdf

Christos Davatzikos, Dushyant Sahoo, C. Davatzikos, 2021, NeurIPS.

Ensemble Inversion for Brain Tumor Growth Models With Mass Effect pdf

Christos Davatzikos, George Biros, Klaudius Scheufele, 2021, IEEE Transactions on Medical Imaging.

Harmonization with Flow-based Causal Inference pdf

Christos Davatzikos, Pratik Chaudhari, Rongguang Wang, 2021, MICCAI.

The Federated Tumor Segmentation (FeTS) Challenge pdf

Christos Davatzikos, Lena Maier-Hein, Annika Reinke, 2021, ArXiv.

Embracing the disharmony in medical imaging: A Simple and effective framework for domain adaptation

Christos Davatzikos, Pratik Chaudhari, Rongguang Wang, 2021, Medical Image Anal..

Disentangling brain heterogeneity via semi-supervised deep-learning and MRI: dimensional representations of Alzheimer's Disease pdf

Christos Davatzikos, Ilya M. Nasrallah, Mohamad Habes, 2021, ArXiv.

Extraction of Hierarchical Functional Connectivity Components in human brain using Adversarial Learning pdf

Christos Davatzikos, Dushyant Sahoo, 2021, ArXiv.

The RSNA-ASNR-MICCAI BraTS 2021 Benchmark on Brain Tumor Segmentation and Radiogenomic Classification pdf

Christos Davatzikos, Russell T. Shinohara, Spyridon Bakas, 2021, ArXiv.

The Brain Tumor Sequence Registration Challenge: Establishing Correspondence between Pre-Operative and Follow-up MRI scans of diffuse glioma patients pdf

Christos Davatzikos, Spyridon Bakas, Bhakti Baheti, 2021, ArXiv.

GaNDLF: A Generally Nuanced Deep Learning Framework for Scalable End-to-End Clinical Workflows in Medical Imaging pdf

Christos Davatzikos, Spyridon Bakas, Ujjwal Baid, 2021, Communications Engineering.

QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Metrics and Benchmarking Results pdf

Christos Davatzikos, Gowtham Krishnan Murugesan, Chandan Ganesh, 2021, ArXiv.

Multidimensional representations in late-life depression: convergence in neuroimaging, cognition, clinical symptomatology and genetics pdf

Andrew J. Saykin, Christos Davatzikos, Marylyn D. Ritchie, 2021, ArXiv.

Open-source Software Sustainability Models: Initial White Paper From the Informatics Technology for Cancer Research Sustainability and Industry Partnership Working Group

Christos Davatzikos, Jonathan C Silverstein, Guergana Savova, 2020, Journal of medical Internet research.

Federated Tumor Segmentation

Christos Davatzikos, Russell T. Shinohara, Shadi Albarqouni, 2021 .

Quantification of brain maturation and growth patterns in C57BL/6J mice via computational neuroanatomy of diffusion tensor images.

Christos Davatzikos, Ragini Verma, Susumu Mori, 2008, Cerebral cortex.

Christos Davatzikos, Jimit Doshi, Yangming Ou, 2012 .

Vascular Factors and Multiple Measures of Early Brain Health: CARDIA Brain MRI Study

Christos Davatzikos, R. Nick Bryan, Kelvin O. Lim, 2015, PloS one.

Heterogeneity of structural brain changes in subtypes of schizophrenia revealed using magnetic resonance imaging pattern analysis.

Christos Davatzikos, Nikolaos Koutsouleris, Eva Meisenzahl, 2015, Schizophrenia bulletin.

Predictors of neurodegeneration differ between cognitively normal and subsequently impaired older adults

Christos Davatzikos, Susan M. Resnick, Luigi Ferrucci, 2019, Neurobiology of Aging.

Neuroimage Classification for Early Diagnosis of Alzheimer’s Disease

Christos Davatzikos, Yong Fan, C. Davatzikos, 2012 .

Three‐Dimensional Sonography With Needle Tracking

Christos Davatzikos, Jasjit S Suri, Liyang Wei, 2008, Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine.

Imaging-Based Biomarkers of Cognitive Performance in Older Adults Constructed via High-Dimensional Pattern Regression Applied to MRI and PET

Christos Davatzikos, Susan M. Resnick, Ying Wang, 2013, PloS one.

Frontal Atrophy and Attention Deficits in Older Adults with a History of Elevated Depressive Symptoms

Christos Davatzikos, Susan M. Resnick, Michael A. Kraut, 2009, Brain Imaging and Behavior.

NIMG-05IDENTIFICATION OF IMAGING SIGNATURES OF THE EPIDERMAL GROWTH FACTOR RECEPTOR VARIANT III (EGFRvIII) IN GLIOBLASTOMA

Christos Davatzikos, Spyridon Bakas, Donald M. O'Rourke, 2015 .

Imaging patterns of brain development and their relationship to cognition.

Christos Davatzikos, Theodore D Satterthwaite, Raquel E Gur, 2015, Cerebral cortex.

Spatial normalization of spine MR images for statistical correlation of lesions with clinical symptoms.

Dinggang Shen, Christos Davatzikos, Edward H Herskovits, 2002, Radiology.

Cross‐sectional and longitudinal association of body mass index and brain volume

Christos Davatzikos, Brian Caffo, Brian S Schwartz, 2014, Human brain mapping.

In vivo evaluation of EGFRvIII mutation in primary glioblastoma patients via complex multiparametric MRI signature

Christos Davatzikos, Spyridon Bakas, Hamed Akbari, 2018, Neuro-oncology.

Psychological Assessment Development of an Itemwise Efficiency Scoring Method : Concurrent , Convergent , Discriminant , and Neuroimaging-Based Predictive Validity Assessed in a Large Community Sample

Christos Davatzikos, Kosha Ruparel, Theodore D Satterthwaite, 2016 .

Use of Fetal Magnetic Resonance Image Analysis and Machine Learning to Predict the Need for Postnatal Cerebrospinal Fluid Diversion in Fetal Ventriculomegaly

Christos Davatzikos, Spyridon Bakas, Saima Rathore, 2017, JAMA pediatrics.

Crowdsourced estimation of cognitive decline and resilience in Alzheimer's disease

Michael W. Weiner, Robert C. Green, Yen-Jen Oyang, 2016, Alzheimer's & Dementia.

Are brain volumes based on magnetic resonance imaging mediators of the associations of cumulative lead dose with cognitive function?

Christos Davatzikos, Brian Caffo, Brian S Schwartz, 2008, American journal of epidemiology.

NIMG-44. QUANTITATIVE MULTI-PARAMETRIC IMAGE PROFILING REVEALS REMARKABLE HETEROGENEITY WITHIN IDH-WILDTYPE GLIOBLASTOMA, OFFERING PROGNOSTIC STRATIFICATION BEYOND CURRENT WHO CLASSIFICATIONS

Christos Davatzikos, Spyridon Bakas, Michel Bilello, 2018, Neuro-Oncology.

T1ρ MRI in Alzheimer's Disease: Detection of Pathological Changes in Medial Temporal Lobe

Christos Davatzikos, Arijitt Borthakur, Elias R Melhem, 2011, Journal of neuroimaging : official journal of the American Society of Neuroimaging.

EEG and MRI data fusion for early diagnosis of Alzheimer's disease

Christos Davatzikos, Robi Polikar, Tejash Patel, 2008, 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Neuronal injury biomarkers and prognosis in ADNI subjects with normal cognition

Christos Davatzikos, Eric M Reiman, Kewei Chen, 2014, Acta neuropathologica communications.

Multiparametric Processing of Serial MRI during Radiation Therapy of Brain Tumors: ‘Finishing with FLAIR?’

Christos Davatzikos, Kilian M. Pohl, Jimit Doshi, 2011 .

Finding 3 D Parametric Representations of the Deep Cortical FoldsMarc Vaillant

Christos Davatzikos, C. Davatzikos, R. Nick BryanNeuroimaging, 1996 .

Dinggang Shen, Christos Davatzikos, Jay N. Giedd, 2006, Molecular and Cellular Endocrinology.

DTI-DROID: Diffusion tensor imaging-deformable registration using orientation and intensity descriptors

Christos Davatzikos, Ragini Verma, Madhura Ingalhalikar, 2010 .

Two distinct neuroanatomical subtypes of schizophrenia revealed using machine learning.

Christos Davatzikos, Yong Fan, Jimit Doshi, 2020, Brain : a journal of neurology.

Neurobiological Divergence of the Positive and Negative Schizophrenia Subtypes Identified on a New Factor Structure of Psychopathology Using Non-negative Factorization: An International Machine Learning Study

Christos Davatzikos, Simon B. Eickhoff, Kaustubh R. Patil, 2019, Biological Psychiatry.

Baseline and longitudinal patterns of brain atrophy in MCI patients and their use in prediction of short-term conversion to Alzheimer's disease: Results from ADNI

Christos Davatzikos, C. Davatzikos, 2009, Alzheimer's & Dementia.

White matter hyperintensities and imaging patterns of brain ageing in the general population.

Christos Davatzikos, Mohamad Habes, Jimit Doshi, 2016, Brain : a journal of neurology.

Offering to Share: How to Put Heads Together in Autism Neuroimaging

Guido Gerig, Anders M. Dale, Robert T. Schultz, 2008, Journal of autism and developmental disorders.

Effects of intensive glucose lowering on brain structure and function in people with type 2 diabetes (ACCORD MIND): a randomised open-label substudy

Christos Davatzikos, Michael E. Miller, Jeffrey L Sunshine, 2011, The Lancet Neurology.

Evaluation of Cumulative Lead Dose and Longitudinal Changes in Structural Magnetic Resonance Imaging in Former Organolead Workers

Christos Davatzikos, Brian Caffo, Brian S Schwartz, 2010, Journal of occupational and environmental medicine.

Imaging patterns predict patient survival and molecular subtype in glioblastoma via machine learning techniques.

Luke Macyszyn, Christos Davatzikos, Yingtao Bi, 2016, Neuro-oncology.

Change in brain and lesion volumes after CEE therapies

Christos Davatzikos, Susan M Resnick, Jennifer G. Robinson, 2014, Neurology.

Depressive symptoms and brain volumes in older adults: a longitudinal magnetic resonance imaging study.

Christos Davatzikos, Susan M Resnick, Michael A Kraut, 2009, Journal of psychiatry & neuroscience : JPN.

Accelerated brain aging in schizophrenia and beyond: a neuroanatomical marker of psychiatric disorders.

Christos Davatzikos, Christian Gaser, Nikolaos Koutsouleris, 2014, Schizophrenia bulletin.

MPTH-02. EXTRACELLULAR EGFR289 ACTIVATING MUTATIONS CONFER POORER SURVIVAL AND SUGGEST ENHANCED MOTILITY IN PRIMARY GBMs

Christos Davatzikos, Spyridon Bakas, Donald M. O'Rourke, 2016 .

Radiomic Features from Multi-Institutional Glioblastoma MRI Offer Additive Prognostic Value to Clinical and Genomic Markers: Focus on TCGA-GBM Collection

Christos Davatzikos, Spyridon Bakas, Aristeidis Sotiras, 2017 .

Non-invasive determination of the O6-methylguanine-DNA-methyltransferase (MGMT) promoter methylation status in glioblastoma (GBM) using magnetic resonance imaging (MRI).

Christos Davatzikos, Spyridon Bakas, Saima Rathore, 2018 .

Sex differences in the effect of puberty on hippocampal morphology.

Christos Davatzikos, Kosha Ruparel, Theodore D Satterthwaite, 2014, Journal of the American Academy of Child and Adolescent Psychiatry.

SCDT-37. MODULATION OF CONVECTION ENHANCED DELIVERY (CED) DISTRIBUTION USING FOCUSED ULTRASOUND (FUS)

Christos Davatzikos, Spyridon Bakas, Michael G. Kaplitt, 2017 .

Linked dimensions of psychopathology and connectivity in functional brain networks

Christos Davatzikos, Russell T. Shinohara, Philip A. Cook, 2017 .

NIMG-45. MULTIVARIATE PATTERN ANALYSIS OF DE NOVO GLIOBLASTOMA PATIENTS OFFERS IN VIVO EVALUATION OF O6-METHYLGUANINE-DNA-METHYLTRANSFERASE (MGMT) PROMOTER METHYLATION STATUS, COMPENSATING FOR INSUFFICIENT SPECIMEN AND ASSAY FAILURES

Christos Davatzikos, Spyridon Bakas, Saima Rathore, 2018, Neuro-Oncology.

NIMG-11. HIGHLY-EXPRESSED WILD-TYPE EGFR AND EGFRvIII MUTANT GLIOBLASTOMAS HAVE SIMILAR MRI SIGNATURE, CONSISTENT WITH DEEP PERITUMORAL INFILTRATION

Christos Davatzikos, Spyridon Bakas, Donald M. O'Rourke, 2016 .

Design and methods of the NiCK study: neurocognitive assessment and magnetic resonance imaging analysis of children and young adults with chronic kidney disease

Christos Davatzikos, Abbas F Jawad, Ruben C Gur, 2015, BMC Nephrology.

Functional Maturation of the Executive System during Adolescence

Christos Davatzikos, Ragini Verma, Kosha Ruparel, 2013, The Journal of Neuroscience.

Midlife obesity and trajectories of brain volume changes in older adults

Christos Davatzikos, Susan M Resnick, Luigi Ferrucci, 2012, Human brain mapping.

AI-based Prognostic Imaging Biomarkers for Precision Neurooncology: the ReSPOND Consortium.

Christos Davatzikos, Spyridon Bakas, Adam P Dicker, 2020, Neuro-oncology.

Cancer Imaging Phenomics via CaPTk: Multi-Institutional Prediction of Progression-Free Survival and Pattern of Recurrence in Glioblastoma

Christos Davatzikos, Spyridon Bakas, Ashutosh Kumar Singh, 2020, JCO clinical cancer informatics.

An Approach To Tensor Fields Reorientation Based On Optimized Neighborhood

Dinggang Shen, Christos Davatzikos, Dongrong Xu, 2003 .

ON THE MERITS OF VOXEL-BASED MORPHOMETRIC PATH-ANALYSIS FOR INVESTIGATING VOLUMETRIC MEDIATION OF A TOXICANT'S INFLUENCE ON COGNITIVE FUNCTION

Christos Davatzikos, Brian S. Caffo, Walter F. Stewart, 2008 .

Multimodal Magnetic Resonance Imaging Study of Treatment-Naïve Adults with Attention-Deficit/Hyperactivity Disorder

Christos Davatzikos, Jimit Doshi, Geraldo F. Busatto, 2014, PloS one.

Network changes associated with transdiagnostic depressive symptom improvement following cognitive behavioral therapy in MDD and PTSD

Danielle S Bassett, Christos Davatzikos, Shi Gu, 2018, Molecular Psychiatry.

Structural Brain Abnormalities in Youth With Psychosis Spectrum Symptoms.

Christos Davatzikos, Kosha Ruparel, Theodore D Satterthwaite, 2016, JAMA psychiatry.

Neuroanatomical pattern classification in a population-based sample of first-episode schizophrenia

Christos Davatzikos, Jimit Doshi, Yangming Ou, 2013, Progress in Neuro-psychopharmacology and Biological Psychiatry.

Correlating Cognitive Decline with White Matter Lesion and Brain Atrophy Magnetic Resonance Imaging Measurements in Alzheimer's Disease.

Christos Davatzikos, Jimit Doshi, Michel Bilello, 2015, Journal of Alzheimer's disease : JAD.

Individual Variation in Functional Topography of Association Networks in Youth

Christos Davatzikos, Russell T. Shinohara, Bart Larsen, 2020, Neuron.

Is the spatial distribution of brain lesions associated with closed-head injury in children predictive of subsequent development of posttraumatic stress disorder?

Christos Davatzikos, R Nick Bryan, Edward H Herskovits, 2002, Radiology.

Clinical and multimodal biomarker correlates of ADNI neuropathological findings

Christos Davatzikos, Eric M Reiman, Kewei Chen, 2013, Acta Neuropathologica Communications.

O2-03-01 Individual patient diagnosis of Alzheimer’s and frontotemporal dementias via high-dimensional pattern classification of MRI

Christos Davatzikos, Susan M. Resnick, Christopher M. Clark, 2007, Alzheimer's & Dementia.

Differential cortical microstructural maturation in the preterm human brain with diffusion kurtosis and tensor imaging

Christos Davatzikos, Qinmu Peng, Virendra Mishra, 2019, Proceedings of the National Academy of Sciences.

APOE, thought disorder, and SPARE‐AD predict cognitive decline in established Parkinson's disease

Christos Davatzikos, Jimit Doshi, Daniel Weintraub, 2018, Movement disorders : official journal of the Movement Disorder Society.

Analysis of spatio‐temporal brain imaging patterns by hidden markov models and serial MRI images

Christos Davatzikos, Susan M Resnick, Ying Wang, 2014, Human brain mapping.

Emerging Applications of Artificial Intelligence in Neuro-Oncology.

Christos Davatzikos, Suyash Mohan, Jeffrey D Rudie, 2019, Radiology.

Epidermal Growth Factor Receptor Extracellular Domain Mutations in Glioblastoma Present Opportunities for Clinical Imaging and Therapeutic Development.

Christos Davatzikos, Spyridon Bakas, Michel Bilello, 2018, Cancer cell.

Neuroimaging Findings in US Government Personnel With Possible Exposure to Directional Phenomena in Havana, Cuba.

Christos Davatzikos, Ragini Verma, Jimit Doshi, 2019, JAMA.

NIMG-38. QUANTITATIVE IMAGING PREDICTORS OF OVERALL SURVIVAL IN GLIOBLASTOMA PATIENTS ROBUST IN THE PRESENCE OF INTER-SCANNER VARIATIONS

Christos Davatzikos, Spyridon Bakas, Saima Rathore, 2018, Neuro-Oncology.

Intima-Media Thickness and Regional Cerebral Blood Flow in Older Adults

Christos Davatzikos, Susan M. Resnick, Michael A. Kraut, 2010, Stroke.

NIMG-41. ACCURATE AND GENERALIZABLE PRE-OPERATIVE PROGNOSTIC STRATIFICATION OF GLIOBLASTOMA PATIENTS USING INTEGRATIVE QUANTITATIVE RADIOMIC ANALYSIS OF CONVENTIONAL MRI

Christos Davatzikos, Russell T. Shinohara, Spyridon Bakas, 2017 .

Relationship between Plasma Analytes and SPARE-AD Defined Brain Atrophy Patterns in ADNI

Christos Davatzikos, Leslie M. Shaw, John Q. Trojanowski, 2013, PloS one.

NIMG-40. NON-INVASIVE IN VIVO SIGNATURE OF IDH1 MUTATIONAL STATUS IN HIGH GRADE GLIOMA, FROM CLINICALLY-ACQUIRED MULTI-PARAMETRIC MAGNETIC RESONANCE IMAGING, USING MULTIVARIATE MACHINE LEARNING

Christos Davatzikos, Spyridon Bakas, Saima Rathore, 2018, Neuro-Oncology.

Lack of association between 11C-PiB and longitudinal brain atrophy in non-demented older individuals

Christos Davatzikos, Susan M. Resnick, Luigi Ferrucci, 2011, Neurobiology of Aging.

Classification of multi-site MR images in the presence of heterogeneity using multi-task learning☆

Christos Davatzikos, Dewen Hu, Yong Fan, 2018, NeuroImage: Clinical.

Towards an Individualized Delineation of Functional Neuroanatomy

Christos Davatzikos, Theodore D. Satterthwaite, C. Davatzikos, 2015, Neuron.

O2-03-06 MCI diagnosis via high-dimensional pattern classification with simultaneous utilization of MR and pet-CBF images yields 100% correct classification

Dinggang Shen, Christos Davatzikos, Yong Fan, 2007, Alzheimer's & Dementia.

In Vivo Detection of EGFRvIII in Glioblastoma via Perfusion Magnetic Resonance Imaging Signature Consistent with Deep Peritumoral Infiltration: The ϕ-Index

Christos Davatzikos, Spyridon Bakas, Donald M. O'Rourke, 2017, Clinical Cancer Research.

Pattern analysis of dynamic susceptibility contrast-enhanced MR imaging demonstrates peritumoral tissue heterogeneity.

Luke Macyszyn, Christos Davatzikos, Ragini Verma, 2014, Radiology.

Heterogeneity of structural and functional imaging patterns of advanced brain aging revealed via machine learning methods

Christos Davatzikos, Mohamad Habes, Susan M. Resnick, 2018, Neurobiology of Aging.

Neurostructural Heterogeneity in Youth With Internalizing Symptoms

Christos Davatzikos, Russell T. Shinohara, Yong Fan, 2019, Biological Psychiatry.

Optimized biopsy procedures for estimating Gleason Score and prostate cancer volume

Dinggang Shen, Christos Davatzikos, Yong Fan, 2008 .

Histopathology‐validated machine learning radiographic biomarker for noninvasive discrimination between true progression and pseudo‐progression in glioblastoma

Christos Davatzikos, Spyridon Bakas, Adam P Dicker, 2020, Cancer.

DRAMMS: Deformable registration via attribute matching and mutual-saliency weighting.

Nikos Paragios, Christos Davatzikos, Aristeidis Sotiras, 2011, Medical image analysis.

Design of comprehensive Alzheimer's disease centers to address unmet national needs

Christos Davatzikos, Murray Grossman, Mary Naylor, 2010, Alzheimer's & Dementia.

Memory, executive, and multidomain subtle cognitive impairment

Christos Davatzikos, Kewei Chen, Clifford R Jack, 2015, Neurology.

Diagnostic potential of structural neuroimaging for depression from a multi-ethnic community sample

Bilwaj Gaonkar, Christos Davatzikos, Jimit Doshi, 2016, BJPsych Open.

Neuroanatomical heterogeneity of schizophrenia revealed by semi-supervised machine learning methods

Christos Davatzikos, Aoyan Dong, Nikolaos Koutsouleris, 2019, Schizophrenia Research.

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.

Ensemble-based medical image labelling via sampling morphological appearance manifolds

Christos Davatzikos, Jimit Doshi, Yangming Ou, 2013 .

Application of machine learning methods to describe the effects of conjugated equine estrogens therapy on region-specific brain volumes.

Christos Davatzikos, Joseph A Maldjian, Susan M Resnick, 2011, Magnetic resonance imaging.

The five factors of personality and regional cortical variability in the baltimore longitudinal study of aging

Christos Davatzikos, Dimitrios Kapogiannis, Paul Costa, 2013, Human brain mapping.

Breast DCE-MRI Kinetic Heterogeneity Tumor Markers: Preliminary Associations With Neoadjuvant Chemotherapy Response1

Bilwaj Gaonkar, Christos Davatzikos, Despina Kontos, 2015, Translational oncology.