Joseph A. Maldjian
Orcid: 0000-0002-6384-1072
According to our database1,
Joseph A. Maldjian
authored at least 39 papers
between 2002 and 2021.
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Bibliography
2021
MEGnet: Automatic ICA-based artifact removal for MEG using spatiotemporal convolutional neural networks.
NeuroImage, 2021
QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Metrics and Benchmarking Results.
CoRR, 2021
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2021
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2021
2020
Brain Connect., 2020
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2020
2019
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
Fully Automated Brain Tumor Segmentation and Survival Prediction of Gliomas Using Deep Learning and MRI.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2019
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2019
2018
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.
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018
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.
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018
Determining the Optimal Number of MEG Trials: A Machine Learning and Speech Decoding Perspective.
Proceedings of the Brain Informatics - International Conference, 2018
2017
Erratum to: Multi-Atlas Library for Eliminating Normalization Failures in Non-Human Primates.
Neuroinformatics, 2017
Automatic 1D convolutional neural network-based detection of artifacts in MEG acquired without electrooculography or electrocardiography.
Proceedings of the 2017 International Workshop on Pattern Recognition in Neuroimaging, 2017
Quantifying the Impact of Type 2 Diabetes on Brain Perfusion Using Deep Neural Networks.
Proceedings of the Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support, 2017
Using Convolutional Neural Networks to Automatically Detect Eye-Blink Artifacts in Magnetoencephalography Without Resorting to Electrooculography.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
Changes in resting state MRI networks from a single season of football distinguishes controls, low, and high head impact exposure.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017
2016
Neuroinformatics, 2016
2015
Multi-TI Arterial Spin Labeling MRI with Variable TR and Bolus Duration for Cerebral Blood Flow and Arterial Transit Time Mapping.
IEEE Trans. Medical Imaging, 2015
Image segmentation and registration algorithm to collect thoracic skeleton semilandmarks for characterization of age and sex-based thoracic morphology variation.
Comput. Biol. Medicine, 2015
2014
Neuroinformatics, 2014
Graph theoretical analysis of resting-state MEG data: Identifying interhemispheric connectivity and the default mode.
NeuroImage, 2014
Relational learning helps in three-way classification of Alzheimer patients from structural magnetic resonance images of the brain.
Int. J. Mach. Learn. Cybern., 2014
2013
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013
2012
A Novel Hierarchical Level Set with AR-boost for White Matter Lesion Segmentation in Diabetes.
Proceedings of the 11th International Conference on Machine Learning and Applications, 2012
A Machine Learning Pipeline for Three-Way Classification of Alzheimer Patients from Structural Magnetic Resonance Images of the Brain.
Proceedings of the 11th International Conference on Machine Learning and Applications, 2012
2011
High Dimensional Classification of Structural MRI Alzheimer's Disease Data Based on Large Scale Regularization.
Frontiers Neuroinformatics, 2011
2009
Neuroinformatics, 2009
Comput. Methods Programs Biomed., 2009
2008
The impact of temporal regularization on estimates of the BOLD hemodynamic response function: A comparative analysis.
NeuroImage, 2008
Resurrecting Brinley Plots for a Novel Use: Meta-Analyses of Functional Brain Imaging Data in Older Adults.
Int. J. Biomed. Imaging, 2008
2007
Biological parametric mapping: A statistical toolbox for multimodality brain image analysis.
NeuroImage, 2007
2006
Estimation of false discovery rates for wavelet-denoised statistical parametric maps.
NeuroImage, 2006
2004
NeuroImage, 2004
2003
An automated method for neuroanatomic and cytoarchitectonic atlas-based interrogation of fMRI data sets.
NeuroImage, 2003
2002
Brain Activity during Simulated Deception: An Event-Related Functional Magnetic Resonance Study.
NeuroImage, 2002