J. Maldjian

发表

Magnetic resonance perfusion imaging in acute ischemic stroke using continuous arterial spin labeling.

J. Detre, D. Alsop, J. Chalela, 2000, Stroke.

An fMRI study of facial emotion processing in patients with schizophrenia.

Robin M. Chan, B. Turetsky, R. Gur, 2002, The American journal of psychiatry.

Cross-modal deactivations during modality-specific selective attention

Jennifer L. Mozolic, R. Kraft, J. Maldjian, 2008, BMC neurology.

Future applications of DWI in MS

J. Maldjian, R. Grossman, 2001, Journal of Neurological Sciences.

Using Convolutional Neural Networks to Automatically Detect Eye-Blink Artifacts in Magnetoencephalography Without Resorting to Electrooculography

Albert Montillo, Joseph A. Maldjian, Christopher T. Whitlow, 2017, MICCAI.

Abnormal white matter integrity related to head impact exposure in a season of high school varsity football.

D. Rosenbaum, G. Gioia, J. Maldjian, 2014, Journal of neurotrauma.

Multidimensional and Multiresolution Ensemble Networks for Brain Tumor Segmentation

Chandan Ganesh, Sahil Nalawade, Ben Wagner, 2019, bioRxiv.

Fully Automated Processing of fMRI Data in SPM: from MRI Scanner to PACS

Aaron H. Baer, Paul J. Laurienti, Jonathan H. Burdette, 2009, Neuroinformatics.

Relating imaging indices of white matter integrity and volume in healthy older adults.

R. Kraft, J. Maldjian, P. Laurienti, 2008, Cerebral cortex.

Arterial Spin-Labeled Magnetic Resonance Imaging in Hyperperfused Seizure Focus: A Case Report

R. Kraft, J. Maldjian, J. Burdette, 2008, Journal of computer assisted tomography.

Migraine Associated Cerebral Hyperperfusion with Arterial Spin-Labeled MR Imaging

R. Kraft, J. Maldjian, J. Burdette, 2008, American Journal of Neuroradiology.

Aging and the interaction of sensory cortical function and structure

S. Hayasaka, R. Kraft, J. Maldjian, 2009, Human brain mapping.

Integrating postprocessed functional MR images with picture archiving and communication systems.

J. Maldjian, J. Listerud, S. Khalsa, 2002, AJNR. American journal of neuroradiology.

Arterial Spin-Labeling in Routine Clinical Practice, Part 2: Hypoperfusion Patterns

R. Kraft, J. Maldjian, J. Burdette, 2008, American Journal of Neuroradiology.

Clinical Implementation of Spin-Tag Perfusion Magnetic Resonance Imaging

R. Kraft, J. Maldjian, P. Laurienti, 2008, Journal of computer assisted tomography.

Arterial Spin-Labeling in Routine Clinical Practice, Part 1: Technique and Artifacts

R. Kraft, J. Maldjian, J. Burdette, 2008, American Journal of Neuroradiology.

Arterial Spin-Labeling in Routine Clinical Practice, Part 3: Hyperperfusion Patterns

R. Kraft, J. Maldjian, J. Burdette, 2008, American Journal of Neuroradiology.

Changes in resting state MRI networks from a single season of football distinguishes controls, low, and high head impact exposure

Albert Montillo, Joseph A. Maldjian, Christopher T. Whitlow, 2017, 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017).

Head Impact Exposure in Youth Football: High School Ages 14 to 18 Years and Cumulative Impact Analysis

J. Maldjian, E. Davenport, C. Whitlow, 2013, Annals of Biomedical Engineering.

Head Impact Exposure in Youth Football: Elementary School Ages 9–12 Years and the Effect of Practice Structure

Joseph A. Maldjian, Christopher T. Whitlow, Joel D. Stitzel, 2013, Annals of Biomedical Engineering.

Functional magnetic resonance imaging of regional brain activity in patients with intracerebral gliomas: findings and implications for clinical management.

M. D’Esposito, J. Detre, D. Alsop, 1996, Neurosurgery.

Brain Activity during Simulated Deception: An Event-Related Functional Magnetic Resonance Study

R. C. Gur, J. Ragland, R. Gur, 2002, NeuroImage.

RAPID COMMUNICATION Brain Activity during Simulated Deception: An Event-Related Functional Magnetic Resonance Study

J. Ragland, R. Gur, L. Schroeder, 2002 .

Decreased gray matter concentration in the insular, orbitofrontal, cingulate, and temporal cortices of cocaine patients

Joseph A Maldjian, Anna Rose Childress, Paul D Acton, 2002, Biological Psychiatry.

The Sensory Somatotopic Map of the Human Hand Demonstrated at 4 Tesla

David C. Alsop, John A. Detre, Joseph A. Maldjian, 1999, NeuroImage.

Mapping of secondary somatosensory cortex activation induced by vibrational stimulation: an fMRI study

David C. Alsop, John A. Detre, Joseph A. Maldjian, 1999, Brain Research.

The effect of brain tumors on BOLD functional MR imaging activation in the adjacent motor cortex: implications for image-guided neurosurgery.

J A Maldjian, J. Maldjian, A. Kalnin, 2000, AJNR. American journal of neuroradiology.

Decreased BOLD functional MR activation of the motor and sensory cortices adjacent to a glioblastoma multiforme: implications for image-guided neurosurgery.

J A Maldjian, J. Maldjian, A. Kalnin, 1999, AJNR. American journal of neuroradiology.

Functional activation of the left amygdala and hippocampus during associative encoding

J A Maldjian, D. Yurgelun-Todd, J. Detre, 2000, Neuroreport.

Wavelet transform-based image compression for transmission of MR data.

J A Maldjian, J. Maldjian, W. Liu, 1997, AJR. American journal of roentgenology.

Gender effects on odor-stimulated functional magnetic resonance imaging

D. Yousem, W. Bilker, D. Alsop, 1999, Brain Research.

A fast, effective filtering method for improving clinical pulsed arterial spin labeling MRI

R. Kraft, J. Maldjian, J. Burdette, 2009, Journal of magnetic resonance imaging : JMRI.

A Novel Fully Automated Mri-Based Deep Learning Method for Classification of Idh Mutation Status in Brain Gliomas.

J. Maldjian, A. Madhuranthakam, G. Murugesan, 2019, Neuro-oncology.

Effect of resting-state functional MR imaging duration on stability of graph theory metrics of brain network connectivity.

J. Maldjian, C. Whitlow, R. Casanova, 2011, Radiology.

Enhanced multisensory integration in older adults

M. Wallace, J. Maldjian, P. Laurienti, 2006, Neurobiology of Aging.

An fMRI Study of Sex Differences in Regional Activation to a Verbal and a Spatial Task

B. Turetsky, R. Gur, R. Gur, 2000, Brain and Language.

The effect of age on odor-stimulated functional MR imaging.

D. Yousem, M. Kraut, D. Alsop, 1999, AJNR. American journal of neuroradiology.

Federated learning enables big data for rare cancer boundary detection

Bjoern H Menze, Amber L. Simpson, James F. Gimpel, 2022, Nature Communications.

Robin M. Chan, Faith M. Gunning-Dixon, B. Turetsky, 2003, Neurobiology of Aging.

Hypercapnia-Induced Cerebral Hyperperfusion: An Underrecognized Clinical Entity

R. Kraft, J. Maldjian, J. Burdette, 2008, American Journal of Neuroradiology.

Whither the Hippocampus? FDG-PET Hippocampal Hypometabolism in Alzheimer Disease Revisited

J. Maldjian, C. Whitlow, 2012, American Journal of Neuroradiology.

Functional magnetic resonance imaging of regional brain activity in patients with intracerebral arteriovenous malformations before surgical or endovascular therapy.

J Listerud, S W Atlas, D Alsop, 1996, Journal of neurosurgery.

Susceptibility Contrast and Arterial Spin Labeled Perfusion MRI in Cerebrovascular Disease

J. Detre, D. Alsop, J. Maldjian, 2003, Journal of neuroimaging : official journal of the American Society of Neuroimaging.

Semantic congruence is a critical factor in multisensory behavioral performance

Paul J. Laurienti, Jonathan H. Burdette, Joseph A. Maldjian, 2004, Experimental Brain Research.

Advanced MRI techniques for transcranial high intensity focused ultrasound targeting.

D. Blezek, Rajiv Chopra, J. Maldjian, 2020, Brain : a journal of neurology.

Neural Correlates of Successful and Unsuccessful Verbal Memory Encoding

David C. Alsop, John A. Detre, Joseph A. Maldjian, 2002, Brain and Language.

Fact or Artifact?

J. Maldjian, John F. Kaufman, 2019, Functional Neuroimaging.

Arterial transit time imaging with flow encoding arterial spin tagging (FEAST)

Joseph A Maldjian, David C Alsop, John A Detre, 2003, Magnetic resonance in medicine.

Intraoperative functional MRI using a real-time neurosurgical navigation system.

J. Maldjian, A. Kalnin, M. Schulder, 1997, Journal of computer assisted tomography.

Evaluating the impact of spatio-temporal smoothness constraints on the BOLD hemodynamic response function estimation: an analysis based on Tikhonov regularization

W D Hairston, J A Maldjian, W. Hairston, 2009, Physiological measurement.

Relationship between caffeine-induced changes in resting cerebral perfusion and blood oxygenation level-dependent signal.

Joseph A Maldjian, Paul J Laurienti, Jonathan H Burdette, 2003, AJNR. American journal of neuroradiology.

Separating neural processes using mixed event-related and epoch-based fMRI paradigms

Joseph A Maldjian, Paul J Laurienti, Jonathan H Burdette, 2003, Journal of Neuroscience Methods.

Functional image-guided surgery of intracranial tumors located in or near the sensorimotor cortex.

J. Maldjian, A. Holodny, M. Schulder, 1998, Journal of neurosurgery.

Lateralization of cortical function in swallowing: a functional MR imaging study.

J A Maldjian, J. Maldjian, K. Mosier, 1999, AJNR. American journal of neuroradiology.

Multiple sclerosis: comparison of trace apparent diffusion coefficients with MR enhancement pattern of lesions.

J A Maldjian, R I Grossman, J. Maldjian, 2000, AJNR. American journal of neuroradiology.

Robust pCASL perfusion imaging using a 3D Cartesian acquisition with spiral profile reordering (CASPR)

Joshua S. Greer, J. Maldjian, I. Pedrosa, 2019, Magnetic resonance in medicine.

Clinical applications of arterial spin labeling

Joseph A Maldjian, Christopher T Whitlow, J. Maldjian, 2013, NMR in biomedicine.

Automated CT segmentation and analysis for acute middle cerebral artery stroke.

J A Maldjian, J. Detre, J. Chalela, 2001, AJNR. American journal of neuroradiology.

Applications of Resting State Functional MR Imaging to Traumatic Brain Injury.

A. Montillo, J. Maldjian, E. Davenport, 2017, Neuroimaging clinics of North America.

Magnetoencephalography and Mild Traumatic Brain Injury

Amy L. Proskovec, J. Maldjian, E. Davenport, 2020 .

Heritability and genetic association analysis of neuroimaging measures in the Diabetes Heart Study

J. Williamson, F. Hsu, J. Maldjian, 2015, Neurobiology of Aging.

APOL1 renal-risk variants associate with reduced cerebral white matter lesion volume and increased gray matter volume.

Nicholette D. Palmer, Jackson T. Wright, J. Williamson, 2016, Kidney international.

Whither the hippocampus?: FDG-PET hippocampal hypometabolism in Alzheimer's disease revisited

J. Maldjian, C. Whitlow, 2012, Alzheimer's & Dementia.

Statistical Inference for Wavelet-denoised Statistical Parametric Maps

J. Maldjian, P. Laurienti, A. Peiffer, 2005 .

Effects of Regular and Long-Acting Insulin on Cognition and Alzheimer’s Disease Biomarkers: A Pilot Clinical Trial

Bryan J. Neth, T. Montine, Emily H. Trittschuh, 2017, Journal of Alzheimer's disease : JAD.

, MD subconcussive head impact exposure and White Matter Tract changes over a single season of Youth Football 1

G. Gioia, J. Maldjian, E. Davenport, 2016 .

MRI-BASED DEEP LEARNING METHOD FOR DETERMINING METHYLATION STATUS OF THE O6-METHYLGUANINE–DNA METHYLTRANSFERASE PROMOTER OUTPERFORMS TISSUE BASED METHODS IN BRAIN GLIOMAS

J. Maldjian, A. Madhuranthakam, G. Murugesan, 2020, bioRxiv.

A nonhuman primate model of early Alzheimer’s disease pathologic change: Implications for disease pathogenesis

Bryan J. Neth, T. Montine, C. Shively, 2018, Alzheimer's & Dementia.

Cerebral white matter hyperintensity in African Americans and European Americans with type 2 diabetes.

J. Williamson, K. Sink, J. Maldjian, 2013, Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association.

Neural predictors of emotional inertia in daily life

Christian E. Waugh, J. Maldjian, C. Whitlow, 2017, Social cognitive and affective neuroscience.

Intrasession Reliability of Arterial Spin-Labeled MRI–Measured Noncontrast Perfusion in Glioblastoma at 3 T

J. Maldjian, Y. Xi, A. Madhuranthakam, 2020, Tomography.

Multicenter, double‐blind, randomized, intra‐individual crossover comparison of gadobenate dimeglumine and gadopentetate dimeglumine in MRI of brain tumors at 3 tesla

J. Maldjian, Z. Rumboldt, H. Rowley, 2009, Journal of magnetic resonance imaging : JMRI.

Cerebral blood flow quantification in swine using pseudo‐continuous arterial spin labeling

J. Maldjian, C. Whitlow, Youngkyoo Jung, 2013, Journal of magnetic resonance imaging : JMRI.

Brain perfusion imaging: How does it work and what should I use?

J. Maldjian, J. Pollock, B. McGehee, 2012, Journal of magnetic resonance imaging : JMRI.

Neurological emergencies associated with COVID-19: stroke and beyond

J. Maldjian, G. Bathla, M. Pinho, 2020, Emergency Radiology.

MRI appearance of placenta percreta and placenta accreta.

J. Maldjian, C. Maldjian, M. Pelosi, 1999, Magnetic resonance imaging.

Head acceleration measurements during head impact in pediatric populations

J. Maldjian, S. Duma, E. Davenport, 2012 .

Microstructural correlates of 3D steady‐state inhomogeneous magnetization transfer (ihMT) in the human brain white matter assessed by myelin water imaging and diffusion tensor imaging

R. Lenkinski, D. Alsop, J. Maldjian, 2018, Magnetic resonance in medicine.

FMRI Assessment of Cerebral Activation in response to an Auditory Working Memory Task in Patients with Chronic Fatigue Syndrome

J. DeLuca, J. Maldjian, W.-C. Liu, 1998, NeuroImage.

Review of the Diabetes Heart Study (DHS) family of studies: a comprehensively examined sample for genetic and epidemiological studies of type 2 diabetes and its complications.

Joseph A Maldjian, Carl D Langefeld, Fang-Chi Hsu, 2010, The review of diabetic studies : RDS.

Blood-based bioenergetic profiling is related to differences in brain morphology in African Americans with Type 2 diabetes

J. Maldjian, B. Wagner, B. Freedman, 2018, Clinical science.

Prevalence and Incidence of Microhemorrhages in Adolescent Football Players

D. Rosenbaum, J. Maldjian, Y. Xi, 2020, American Journal of Neuroradiology.

MRI identification of early white matter injury in anoxic–ischemic encephalopathy

J. Chalela, J. Maldjian, S. Kasner, 2001, Neurology.

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

Bjoern H Menze, Minh H. Vu, Nisarg A. Shah, 2021, The journal of machine learning for biomedical imaging.

Evaluation of morphological changes in the adult skull with age and sex

J. Maldjian, C. Whitlow, J. Urban, 2016, Journal of anatomy.

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.

MEG measured delta waves increase in adolescents after concussion

J. Maldjian, M. Espeland, E. Davenport, 2022, Brain and behavior.

Differences in carotid arterial morphology and composition between individuals with and without obstructive coronary artery disease: A cardiovascular magnetic resonance study

R. Kraft, C. Yuan, T. Hatsukami, 2008, Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance.

Functional Activation during an Auditory Comprehension Task in Patients with Temporal Lobe Lesions

M. D’Esposito, J. Detre, D. Alsop, 1996, NeuroImage.

Volume (three-dimensional) fast spin-echo imaging of the lumbar spine.

J. Maldjian, O. Boyko, C. Maldjian, 1999, Academic radiology.

Hemispheric effects of concreteness during verbal episodic memory encoding

J. Kounios, J. Detre, J. Maldjian, 2001, NeuroImage.

Federated learning enables big data for rare cancer boundary detection

Bjoern H Menze, Amber L. Simpson, James F. Gimpel, 2022, Nature Communications.

Functional neuroimaging of dressing-related skills

Christopher T. Lovelace, G. Wittenberg, J. Maldjian, 2014, Brain Imaging and Behavior.

Multi-Atlas Library for Eliminating Normalization Failures in Non-Human Primates

M. Nader, C. Shively, J. Maldjian, 2016, Neuroinformatics.

MEG Sensor Selection for Neural Speech Decoding

Jun Wang, Debadatta Dash, Paul Ferrari, 2020, IEEE Access.

Relational learning helps in three-way classification of Alzheimer patients from structural magnetic resonance images of the brain

K. Kersting, Sriraam Natarajan, J. Maldjian, 2013, International Journal of Machine Learning and Cybernetics.

Aqueductal stenosis leading to herniation of the frontal horn of the lateral ventricle into the frontal sinus.

J. Maldjian, A. Holodny, A. Petraikin, 1997, Journal of computer assisted tomography.

High Dimensional Classification of Structural MRI Alzheimer’s Disease Data Based on Large Scale Regularization

Ramon Casanova, Joseph A. Maldjian, Christopher T. Whitlow, 2011, Front. Neuroinform..

A new high-dimensional machine learning approach for identifying Alzheimer Disease from MRI structural images

Ramon Casanova, Joseph A. Maldjian, Christopher T. Whitlow, 2011 .

An automated method for neuroanatomic and cytoarchitectonic atlas-based interrogation of fMRI data sets

Paul J. Laurienti, Jonathan H. Burdette, Joseph A. Maldjian, 2003, NeuroImage.

Cross‐modal sensory processing in the anterior cingulate and medial prefrontal cortices

Joseph A Maldjian, Paul J Laurienti, Jonathan H Burdette, 2003, Human brain mapping.

The impact of temporal regularization on estimates of the BOLD hemodynamic response function: A comparative analysis

Paul J. Laurienti, Joseph A. Maldjian, John T. Serences, 2008, NeuroImage.

Precentral gyrus discrepancy in electronic versions of the Talairach atlas

Joseph A Maldjian, Paul J Laurienti, Jonathan H Burdette, 2004, NeuroImage.

Contrast-Enhanced MR Imaging of Brain Lesions: A Large-Scale Intraindividual Crossover Comparison of Gadobenate Dimeglumine versus Gadodiamide

J. Maldjian, H. Rowley, P. Gao, 2008, American Journal of Neuroradiology.

Evaluation of intraaxial enhancing brain tumors on magnetic resonance imaging: intraindividual crossover comparison of gadobenate dimeglumine and gadopentetate dimeglumine for visualization and assessment, and implications for surgical intervention.

M. Knopp, M. Essig, J. Maldjian, 2007, Journal of neurosurgery.

Contrast enhancement of central nervous system lesions: multicenter intraindividual crossover comparative study of two MR contrast agents.

M. Knopp, M. Essig, J. Maldjian, 2006, Radiology.

Modified ketogenic diet is associated with improved cerebrospinal fluid biomarker profile, cerebral perfusion, and cerebral ketone body uptake in older adults at risk for Alzheimer’s disease: a pilot study

K. Blennow, J. Maldjian, C. Whitlow, 2019, Neurobiology of Aging.

Determining the Optimal Number of MEG Trials: A Machine Learning and Speech Decoding Perspective

Albert Montillo, Joseph A. Maldjian, Debadatta Dash, 2018, BI.

A novel fully automated MRI-based deep-learning method for classification of IDH mutation status in brain gliomas

Joseph A. Maldjian, Baowei Fei, Benjamin C. Wagner, 2019, bioRxiv.

A novel fully automated MRI-based deep-learning method for classification of 1p/19q co-deletion status in brain gliomas

Joseph A. Maldjian, Baowei Fei, Chandan Ganesh Bangalore Yogananda, 2020, bioRxiv.

MRI-Based Deep-Learning Method for Determining Glioma MGMT Promoter Methylation Status

J. Maldjian, A. Madhuranthakam, G. Murugesan, 2021, American Journal of Neuroradiology.

Estimation of false discovery rates for wavelet-denoised statistical parametric maps

Ramon Casanova, Paul J. Laurienti, Ann M. Peiffer, 2006, NeuroImage.

Brain tumor IDH, 1p/19q, and MGMT molecular classification using MRI-based deep learning: an initial study on the effect of motion and motion correction

J. Maldjian, Y. Xi, A. Madhuranthakam, 2022, Journal of medical imaging.

Brain Tumor IDH, 1p/19q, and MGMT Molecular Classification Using MRI-based Deep Learning: Effect of Motion and Motion Correction

Joseph A. Maldjian, Baowei Fei, Benjamin C. Wagner, 2020, bioRxiv.

Classification of brain tumor isocitrate dehydrogenase status using MRI and deep learning

Sahil Nalawade, Ben Wagner, Joseph A Maldjian, 2019, Journal of medical imaging.

Classification of Brain Tumor IDH Status using MRI and Deep Learning

J. Maldjian, A. Madhuranthakam, G. Murugesan, 2019, bioRxiv.

Head Impact Exposure in Youth Football: High School Ages 14 to 18 Years and Cumulative Impact Analysis

J. Maldjian, E. Davenport, C. Whitlow, 2013, Annals of Biomedical Engineering.

Subconcussive Head Impact Exposure and White Matter Tract Changes over a Single Season of Youth Football.

Elizabeth M Davenport, Joseph A Maldjian, Joel D Stitzel, 2016, Radiology.

Subconcussive impacts and imaging findings over a season of contact sports

Elizabeth M Davenport, Joseph A Maldjian, Joel D Stitzel, 2016, Concussion.

Montreal Cognitive Assessment and Modified Mini Mental State Examination in African Americans

K. Sink, J. Maldjian, J. Divers, 2015, Journal of aging research.

Traumatic brain injury: diffusion-weighted MR imaging findings.

J A Maldjian, R I Grossman, J. Maldjian, 1999, AJNR. American journal of neuroradiology.

Incidence and clinical significance of frontal sinus or orbital entry during pterional (frontotemporal) craniotomy.

D. Yousem, J. Maldjian, E. Zager, 2000, AJNR. American journal of neuroradiology.

Anoxic Injury-Associated Cerebral Hyperperfusion Identified with Arterial Spin-Labeled MR Imaging

R. Kraft, J. Maldjian, J. Burdette, 2008, American Journal of Neuroradiology.

of the Diabetes Heart Study ( DHS ) Family of Studies : A Comprehensively Examined Sample for Genetic and Epidemiological Studies of Type 2 Diabetes and its Complications

J. Williamson, F. Hsu, J. Maldjian, 2017 .

Cerebral neoplasms in adults.

J. Maldjian, R. Patel, J. A. Maldjian, 1999, Seminars in roentgenology.

Relationship Between Time-Weighted Head Impact Exposure on Directional Changes in Diffusion Imaging in Youth Football Players

J. Maldjian, E. Davenport, C. Whitlow, 2021, Annals of Biomedical Engineering.

Analysis of longitudinal head impact exposure and white matter integrity in returning youth football players.

J. Maldjian, B. Snively, E. Davenport, 2021, Journal of neurosurgery. Pediatrics.

Mapping default mode connectivity alterations following a single season of subconcussive impact exposure in youth football

J. Maldjian, Y. Xi, E. Davenport, 2021, Human brain mapping.

Comparison of head impact exposure in practice drills among multiple youth football teams.

J. Maldjian, M. Espeland, C. Whitlow, 2019, Journal of neurosurgery. Pediatrics.

Football and the Brain: Does Career Duration Provide Protective Effects?

J. Maldjian, 2018, Radiology.

Head Impact Exposure in Youth Football: Comparing Age- and Weight-Based Levels of Play.

Elizabeth M Davenport, Joseph A Maldjian, Joel D Stitzel, 2017, Journal of neurotrauma.

Biological parametric mapping: A statistical toolbox for multimodality brain image analysis

Ramon Casanova, Ryali Srikanth, Paul J. Laurienti, 2007, NeuroImage.

Abnormalities in Diffusional Kurtosis Metrics Related to Head Impact Exposure in a Season of High School Varsity Football.

Elizabeth M Davenport, Joseph A Maldjian, Joel D Stitzel, 2016, Journal of neurotrauma.

Evaluation of Brain Response during Head Impact in Youth Athletes Using an Anatomically Accurate Finite Element Model.

Joseph A Maldjian, Joel D Stitzel, Logan E Miller, 2019, Journal of neurotrauma.

Fast inversion recovery for myelin suppression (FIRMS). A new MRI pulse sequence for highlighting cerebral gray matter.

J. Maldjian, A. Evans, L. Wolansky, 1996, Clinical imaging.

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.

A Comprehensive Assessment of Radiographic, Clinical, and Treatment Related Risk Factors for Metastasis Related Intracranial Hemorrhage in Metastatic Melanoma Following Radiation Therapy

J. Maldjian, B. Wagner, C. Whitlow, 2015 .

Fully Automated Brain Tumor Segmentation and Survival Prediction of Gliomas using Deep Learning and MRI

Ben Wagner, Joseph A. Maldjian, Baowei Fei, 2019, bioRxiv.

Inflammatory pseudotumor of the maxillary sinus in a 15-year-old boy.

J. Maldjian, P. Som, K. Norton, 1994, AJNR. American journal of neuroradiology.

The effect of daily caffeine use on cerebral blood flow: How much caffeine can we tolerate?

Satoru Hayasaka, S. Hayasaka, R. Kraft, 2009, Human brain mapping.

Associations of Early Kidney Disease With Brain Magnetic Resonance Imaging and Cognitive Function in African Americans With Type 2 Diabetes Mellitus.

Michael E. Miller, Nicholette D. Palmer, J. Williamson, 2017, American journal of kidney diseases : the official journal of the National Kidney Foundation.

Analysis of advanced glycation end products in the DHS Mind Study.

J. Williamson, F. Hsu, J. Maldjian, 2016, Journal of diabetes and its complications.

Structural and functional assessment of the brain in European Americans with mild-to-moderate kidney disease: Diabetes Heart Study-MIND.

F. Hsu, J. Maldjian, C. Hugenschmidt, 2015, Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association.

Relationships between Cognitive Performance, Neuroimaging and Vascular Disease: The DHS-MIND Study

J. Williamson, F. Hsu, J. Maldjian, 2015, Neuroepidemiology.

Combining Graph and Machine Learning Methods to Analyze Differences in Functional Connectivity Across Sex

R Casanova, C.T Whitlow, B Wagner, 2012, The open neuroimaging journal.

Subclinical Atherosclerosis Is Inversely Associated With Gray Matter Volume in African Americans With Type 2 Diabetes

Nicholette D. Palmer, J. Williamson, K. Sink, 2015, Diabetes Care.

Kidney Disease and Cognitive Function: African American-Diabetes Heart Study MIND

J. Williamson, K. Sink, J. Maldjian, 2014, American Journal of Nephrology.

Cerebral Structural Changes in Diabetic Kidney Disease: African American–Diabetes Heart Study MIND

Nicholette D. Palmer, J. Williamson, K. Sink, 2014, Diabetes Care.

Relationships between cerebral structure and cognitive function in African Americans with type 2 diabetes.

J. Williamson, K. Sink, R. Bryan, 2018, Journal of diabetes and its complications.

Adiposity is inversely associated with hippocampal volume in African Americans and European Americans with diabetes.

J. Williamson, K. Sink, F. Hsu, 2016, Journal of diabetes and its complications.

Cerebral Structure and Cognitive Performance in African Americans and European Americans With Type 2 Diabetes

Nicholette D. Palmer, J. Williamson, K. Sink, 2018, The journals of gerontology. Series A, Biological sciences and medical sciences.

Quantifying the Impact of Type 2 Diabetes on Brain Perfusion Using Deep Neural Networks

Albert Montillo, Joseph A. Maldjian, Jasmin Divers, 2017, DLMIA/ML-CDS@MICCAI.

Automated White Matter Total Lesion Volume Segmentation in Diabetes

J A Maldjian, J. Maldjian, E. Davenport, 2013, American Journal of Neuroradiology.

Analysis of the relationships between type 2 diabetes status, glycemic control, and neuroimaging measures in the Diabetes Heart Study Mind

F. Hsu, J. Maldjian, C. Hugenschmidt, 2016, Acta Diabetologica.

AR-Boost: Reducing Overfitting by a Robust Data-Driven Regularization Strategy

Sriraam Natarajan, Joseph A. Maldjian, Nilanjan Ray, 2013, ECML/PKDD.

Effects of Type 2 Diabetes on Brain Structure and Cognitive Function: African American–Diabetes Heart Study MIND

Nicholette D. Palmer, J. Williamson, K. Sink, 2015, American Journal of Neuroradiology.

MODIFIDED KETOGENIC DIET IS ASSOCIATED WITH IMPROVED CSF BIOMARKER PROFILE, CEREBRAL PERFUSION, AND CEREBRAL KETONE BODY UPTAKE IN OLDER ADULTS AT-RISK FOR ALZHEIMER’S DISEASE: A PILOT STUDY

K. Blennow, J. Maldjian, C. Whitlow, 2019 .

Arterial spin-labeled MR perfusion imaging: clinical applications.

Joseph A Maldjian, Jonathan H Burdette, Huan Tan, 2009, Magnetic resonance imaging clinics of North America.

MRI appearance of the pelvis in the post cesarean-section patient.

J. Maldjian, C. Maldjian, R. Adam, 1999, Magnetic resonance imaging.

Mri Appearance of Placenta Percreta and Placenta Accreta

J. Maldjian, C. Maldjian, M. Pelosi, 2000 .

BrainNET: Inference of Brain Network Topology Using Machine Learning.

Gowtham Krishnan Murugesan, Chandan Ganesh, Sahil Nalawade, 2020, Brain connectivity.

BrainNET: Inference of brain network topology using Machine Learning

Chandan Ganesh, Sahil Nalawade, Elizabeth M Davenport, 2019, bioRxiv.

Response of arteriovenous malformations to gamma knife therapy evaluated with pulsed arterial spin-labeling MRI perfusion.

Joseph A Maldjian, E. A. Stevens, Jonathan H Burdette, 2011, AJR. American journal of roentgenology.

An adaptive staircase procedure for the E-Prime programming environment

W. David Hairston, Joseph A. Maldjian, W. Hairston, 2009, Comput. Methods Programs Biomed..

Detection of mesial temporal lobe hypoperfusion in patients with temporal lobe epilepsy by use of arterial spin labeled perfusion MR imaging.

J A Maldjian, A. Alavi, J. Detre, 2001, AJNR. American journal of neuroradiology.

Evaluating the Impact of Different Factors on Voxel-Based Classification Methods of ADNI Structural MRI Brain Images

Ramon Casanova, Joseph A. Maldjian, Mark A. Espeland, 2011 .

Brain Activation during Facial Emotion Processing

David C. Alsop, Joseph A. Maldjian, Raquel E. Gur, 2002, NeuroImage.

Hepatic mass in Budd-Chiari syndrome: CT and MRI findings.

J. Maldjian, R. Shapiro, A. Stancato-Pasik, 1993, Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society.

A Fully Automated Deep Learning Network for Brain Tumor Segmentation

Joseph A. Maldjian, Baowei Fei, Benjamin C. Wagner, 2020, Tomography.

A Deep Learning Pipeline for Automatic Skull Stripping and Brain Segmentation

Joseph A. Maldjian, Chandan Ganesh Bangalore Yogananda, Benjamin C. Wagner, 2019, 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019).

Brain Atlas for Functional Imaging

Joseph A. Maldjian, J. Maldjian, 2002 .

Continuous Arterial Spin Labeled Perfusion Magnetic Resonance Imaging in Patients before and after Carotid Endarterectomy

Joseph A Maldjian, David C Alsop, John A Detre, 2004, Journal of neuroimaging : official journal of the American Society of Neuroimaging.

Brain MRI abnormalities exist in a subset of patients with chronic fatigue syndrome

Joseph A Maldjian, John DeLuca, J. DeLuca, 1999, Journal of the Neurological Sciences.

MEGnet: Automatic ICA-based artifact removal for MEG using spatiotemporal convolutional neural networks

Ryan C. Godwin, Leonardo Guimaraes Bezerra, A. Montillo, 2021, NeuroImage.

Computing diffusion rates in T2-dark hematomas and areas of low T2 signal.

J. Maldjian, J. Listerud, G. Moonis, 2001, AJNR. American journal of neuroradiology.

Exome Chip Analysis Identifies Low-Frequency and Rare Variants in MRPL38 for White Matter Hyperintensities on Brain Magnetic Resonance Imaging

Nicholette D. Palmer, M. Fornage, A. Uitterlinden, 2018, Stroke.

Radiologic estimation of hematoma volume in intracerebral hemorrhage trial by CT scan.

J A Maldjian, J. Maldjian, N. Brun, 2006, AJNR. American journal of neuroradiology.

Brain Strain: Computational Model-Based Metrics for Head Impact Exposure and Injury Correlation

Elizabeth M Davenport, Joseph A Maldjian, Joel D Stitzel, 2020, Annals of Biomedical Engineering.

APOE Genotypes Associate With Cognitive Performance but Not Cerebral Structure: Diabetes Heart Study MIND

J. Williamson, K. Sink, F. Hsu, 2016, Diabetes Care.

A Novel Hierarchical Level Set with AR-boost for White Matter Lesion Segmentation in Diabetes

Sriraam Natarajan, Joseph A. Maldjian, Baidya Nath Saha, 2012, 2012 11th International Conference on Machine Learning and Applications.

Brain volumes, cognitive impairment, and conjugated equine estrogens.

S. Resnick, L. Kuller, J. Maldjian, 2009, The journals of gerontology. Series A, Biological sciences and medical sciences.

Diffusion anisotropy in the corpus callosum.

Joseph A Maldjian, Jonathan H Burdette, Yi-Fen Yen, 2002, AJNR. American journal of neuroradiology.

Multiple reproducibility indices for evaluation of cognitive functional MR imaging paradigms.

Joseph A Maldjian, Paul J Laurienti, Jonathan H Burdette, 2002, AJNR. American journal of neuroradiology.

Resurrecting Brinley Plots for a Novel Use: Meta-Analyses of Functional Brain Imaging Data in Older Adults

Paul J. Laurienti, Ann M. Peiffer, Joseph A. Maldjian, 2007, Int. J. Biomed. Imaging.

Multi-TI Arterial Spin Labeling MRI with Variable TR and Bolus Duration for Cerebral Blood Flow and Arterial Transit Time Mapping

Joseph A. Maldjian, Kun Lu, Youngkyoo Jung, 2015, IEEE Transactions on Medical Imaging.

Pulsed Arterial Spin-Labeled MR Imaging Evaluation of Tuberous Sclerosis

R. Kraft, J. Maldjian, C. Whitlow, 2009, American Journal of Neuroradiology.

MR appearance of intraocular silicone oil.

J. Maldjian, P. Som, M. Lidov, 1994, Journal of computer assisted tomography.

Elastofibroma of the neck

J. Maldjian, C. Maldjian, A. Bonakdarpour, 2000, Skeletal Radiology.

Comparison of logistic regression, support vector machines, and deep learning classifiers for predicting memory encoding success using human intracranial EEG recordings

Akshay Arora, Bradley Lega, Jui-Jui Lin, 2018, Journal of neural engineering.

Closing the mind's eye: deactivation of visual cortex related to auditory task difficulty

Joseph A Maldjian, Ramon Casanova, Satoru Hayasaka, 2008, Neuroreport.

Postanoxic encephalopathy: diffusion MR findings.

J. Maldjian, R. Grossman, S. Galetta, 1998, Journal of computer assisted tomography.

Image segmentation and registration algorithm to collect thoracic skeleton semilandmarks for characterization of age and sex-based thoracic morphology variation

Joseph A. Maldjian, Joel D. Stitzel, Callistus M. Nguyen, 2015, Comput. Biol. Medicine.

Rapid-onset dystonia-parkinsonism associated with the I758S mutation of the ATP1A3 gene: a neuropathologic and neuroanatomical study of four siblings

B. Ghetti, J. Maldjian, M. Stacy, 2014, Acta Neuropathologica.

Associations between anxiety and depression symptoms and cognitive testing and neuroimaging in type 2 diabetes.

J. Williamson, F. Hsu, J. Maldjian, 2016, Journal of diabetes and its complications.

In-Season Variations in Head Impact Exposure among Youth Football Players.

Elizabeth M Davenport, Joseph A Maldjian, Joel D Stitzel, 2019, Journal of neurotrauma.

Functional MRI-guided surgery of intracranial tumors.

J A Maldjian, I K Mun, J. Maldjian, 1997, Stereotactic and functional neurosurgery.

Dietary Caffeine Consumption Modulates fMRI Measures

Paul J. Laurienti, Jonathan H. Burdette, Joseph A. Maldjian, 2002, NeuroImage.

A Machine Learning Pipeline for Three-Way Classification of Alzheimer Patients from Structural Magnetic Resonance Images of the Brain

Kristian Kersting, Sriraam Natarajan, Joseph A. Maldjian, 2012, 2012 11th International Conference on Machine Learning and Applications.

Physical Performance Measures Correlate with Head Impact Exposure in Youth Football.

J. Maldjian, M. Espeland, C. Whitlow, 2020, Medicine and science in sports and exercise.

Evaluation of head impact exposure measured from youth football game plays.

J. Maldjian, M. Espeland, E. Davenport, 2019, Journal of neurosurgery. Pediatrics.

Cortical Representation of Swallowing in Normal Adults: Functional Implications

S. Baredes, J. Maldjian, A. Kalnin, 1999, The Laryngoscope.

Neuropsychologic performance after resection of an activation cluster involved in cognitive memory function.

William D S Killgore, J. Detre, D. Alsop, 2001, AJR. American journal of roentgenology.

Improving tremor response to focused ultrasound thalamotomy

Rajiv Chopra, J. Maldjian, P. O'Suilleabhain, 2023, Brain communications.

Kidney Disease and Cognitive Function: African American-Diabetes Heart Study MIND

Nicholette D. Palmer, J. Williamson, K. Sink, 2014, American Journal of Nephrology.

Volume Segmentation in Diabetes Automated White Matter Total Lesion

J. Maldjian, C. Whitlow, E. Davenport, 2013 .

Acute Stroke: The Impact of Rapid Imaging and Therapy

J. Maldjian, F. Lexa, Robin L. Smith, 2001 .

ACR White Paper on Magnetoencephalography and Magnetic Source Imaging: A Report from the ACR Commission on Neuroradiology

S. Nagarajan, S. Stufflebeam, J. Maldjian, 2022, American Journal of Neuroradiology.

Decreased gray matter concentration in the insular, orbitofrontal, cingulate, and temporal cortices of cocaine patients

P. Acton, Jason R Croft, J. Maldjian, 2002, Biological Psychiatry.

Alterations in the Magnetoencephalography Default Mode Effective Connectivity following Concussion

J. Maldjian, E. Davenport, B. Wagner, 2021, American Journal of Neuroradiology.

The impact of temporal regularization on estimates of the BOLD hemodynamic response function: A comparative analysis

J. Serences, R. Kraft, J. Maldjian, 2008, NeuroImage.

Head Impact Exposure in Youth Football: Elementary School Ages 9–12 Years and the Effect of Practice Structure

J. Maldjian, S. Duma, E. Davenport, 2013, Annals of Biomedical Engineering.

Head Impact Exposure in Youth Football: High School Ages 14 to 18 Years and Cumulative Impact Analysis

J. Maldjian, E. Davenport, C. Whitlow, 2013, Annals of Biomedical Engineering.

Cumulative strain-based metrics for predicting subconcussive head impact exposure-related imaging changes in a cohort of American youth football players.

J. Maldjian, M. Espeland, E. Davenport, 2022, Journal of neurosurgery. Pediatrics.

Relationship between Aggressiveness, Self-Confidence, and Perceived Coach Support and Head Impact Exposure in Youth Football

J. Maldjian, M. Espeland, C. Whitlow, 2022, Sports.

Quantifying the association between white matter integrity changes and subconcussive head impact exposure from a single season of youth and high school football using 3D convolutional neural networks

Albert Montillo, Joseph A. Maldjian, Christopher T. Whitlow, 2018, Medical Imaging.

Single season changes in resting state network power and the connectivity between regions distinguish head impact exposure level in high school and youth football players

Gowtham Krishnan Murugesan, Albert Montillo, Joseph A. Maldjian, 2018, Medical Imaging.

Head Impact Exposure in Youth Football: Comparing Age- and Weight-Based Levels of Play.

J. Maldjian, M. Espeland, E. Davenport, 2017, Journal of neurotrauma.

Graph theoretical analysis of resting-state MEG data: Identifying interhemispheric connectivity and the default mode

Joseph A. Maldjian, Christopher T. Whitlow, Elizabeth M. Davenport, 2014, NeuroImage.

Hemispheric Specialization During Episodic Memory Encoding in the Human Hippocampus and MTL

J. Detre, J. Maldjian, G. Glosser, 2000 .

Journal of Cardiovascular Magnetic Resonance Open Access Differences in Carotid Arterial Morphology and Composition between Individuals with and without Obstructive Coronary Artery Disease: a Cardiovascular Magnetic Resonance Study

R. Kraft, C. Yuan, T. Hatsukami, 2022 .

Vervet MRI Atlas and Label Map for Fully Automated Morphometric Analyses

David P. Friedman, J. Daunais, J. Maldjian, 2014, Neuroinformatics.

Automated teaching file and slide database for digital images.

J A Maldjian, J. Maldjian, J. Listerud, 2000, AJR. American journal of roentgenology.

Federated Learning for Brain Tumor Segmentation Using MRI and Transformers

J. Maldjian, A. Madhuranthakam, B. Wagner, 2021, BrainLes@MICCAI.

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.

Brain volumes, cognitive impairment, and conjugated equine estrogens.

S. Resnick, L. Kuller, J. Maldjian, 2009, The journals of gerontology. Series A, Biological sciences and medical sciences.

MEGnet: Automatic ICA-based artifact removal for MEG using spatiotemporal convolutional neural networks

Joseph A. Maldjian, Christopher T. Whitlow, Joel D. Stitzel, 2021, NeuroImage.

Diffusion anisotropy in the corpus callosum.

J. Maldjian, J. Burdette, D. Moody, 2002, AJNR. American journal of neuroradiology.

Alzheimer's disease–specific changes in cerebral gray matter revealed using a novel voxel-wise approach for constructing structural brain networks

J. Maldjian, C. Whitlow, 2012, Alzheimer's & Dementia.