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Christos Davatzikos

Researcher Next ID · RN-023717

Researcher · Neuroscience

Intel (United States)

Santa Clara, Canada

Not currently recruitingFunding unknown
Works count
1,229
Citation count
67,297
H-index
123
i10-index
563

Research interests

Neuroscience
Medicine
Computer Science
Functional Brain Connectivity Studies
Dementia and Cognitive Impairment Research
Advanced Neuroimaging Techniques and Applications
Medical Image Segmentation Techniques
Radiomics and Machine Learning in Medical Imaging

Publications

  • Characterizing Heterogeneity in Neuroimaging, Cognition, Clinical Symptoms, and Genetics Among Patients With Late-Life Depression

    JAMA Psychiatry · 2022 · https://doi.org/10.1001/jamapsychiatry.2022.0020

  • Federated learning enables big data for rare cancer boundary detection

    Nature Communications · 2022 · https://doi.org/10.1038/s41467-022-33407-5

  • Two distinct neuroanatomical subtypes of schizophrenia revealed using machine learning

    Brain · 2020 · https://doi.org/10.1093/brain/awaa025

  • The Image Biomarker Standardization Initiative: Standardized Quantitative Radiomics for High-Throughput Image-based Phenotyping

    Radiology · 2020 · https://doi.org/10.1148/radiol.2020191145

  • 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

    Biological Psychiatry · 2019 · https://doi.org/10.1016/j.biopsych.2019.08.031

  • Effect of Intensive vs Standard Blood Pressure Control on Probable Dementia

    JAMA · 2019 · https://doi.org/10.1001/jama.2018.21442

  • Association of Intensive vs Standard Blood Pressure Control With Cerebral White Matter Lesions

    JAMA · 2019 · https://doi.org/10.1001/jama.2019.10551

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

    NeuroImage · 2019 · 10.1016/j.neuroimage.2019.116450

  • Linked dimensions of psychopathology and connectivity in functional brain networks

    Nature Communications · 2018 · 10.1038/s41467-018-05317-y

  • Quantitative assessment of structural image quality

    NeuroImage · 2017 · 10.1016/j.neuroimage.2017.12.059

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

    Scientific Data · 2017 · https://doi.org/10.1038/sdata.2017.117

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

    NeuroImage · 2017 · https://doi.org/10.1016/j.neuroimage.2017.03.020

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

    NeuroImage · 2017 · 10.1016/j.neuroimage.2017.03.057

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

    Brain · 2016 · https://doi.org/10.1093/brain/aww008

  • Association of hearing impairment with brain volume changes in older adults

    NeuroImage · 2014 · 10.1016/j.neuroimage.2013.12.059

  • Evaluation of prostate segmentation algorithms for MRI: The PROMISE12 challenge

    Medical Image Analysis · 2013 · 10.1016/j.media.2013.12.002

  • Neuroimaging of the Philadelphia Neurodevelopmental Cohort

    NeuroImage · 2013 · 10.1016/j.neuroimage.2013.07.064

  • Accelerated Brain Aging in Schizophrenia and Beyond: A Neuroanatomical Marker of Psychiatric Disorders

    Schizophrenia Bulletin · 2013 · 10.1093/schbul/sbt142

  • Deformable Medical Image Registration: A Survey

    IEEE Transactions on Medical Imaging · 2013 · https://doi.org/10.1109/tmi.2013.2265603

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

    The Lancet Neurology · 2011 · 10.1016/s1474-4422(11)70188-0

  • Prediction of MCI to AD conversion, via MRI, CSF biomarkers, and pattern classification

    Neurobiology of Aging · 2010 · 10.1016/j.neurobiolaging.2010.05.023

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

    Magnetic Resonance in Medicine · 2009 · 10.1002/mrm.22147

  • Longitudinal pattern of regional brain volume change differentiates normal aging from MCI

    Neurology · 2009 · 10.1212/wnl.0b013e3181a82634

  • 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 · 2008 · 10.1016/j.neuroimage.2008.10.031

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

    NeuroImage · 2007 · 10.1016/j.neuroimage.2007.10.031

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

    NeuroImage · 2005 · 10.1016/j.neuroimage.2005.08.009

  • Longitudinal Magnetic Resonance Imaging Studies of Older Adults: A Shrinking Brain

    Journal of Neuroscience · 2003 · 10.1523/jneurosci.23-08-03295.2003

  • Imaging cortical association tracts in the human brain using diffusion‐tensor‐based axonal tracking

    Magnetic Resonance in Medicine · 2002 · 10.1002/mrm.10074

  • HAMMER: hierarchical attribute matching mechanism for elastic registration

    IEEE Transactions on Medical Imaging · 2002 · 10.1109/tmi.2002.803111

  • Measurement of Radiotracer Concentration in Brain Gray Matter Using Positron Emission Tomography: MRI-Based Correction for Partial Volume Effects

    Journal of Cerebral Blood Flow & Metabolism · 1992 · 10.1038/jcbfm.1992.81

Current projects

    No projects listed.