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    Author information
    First name: Joseph A.
    Last name: Maldjian
    DBLP: 01/6305
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    Below you find the publications which have been written by this author.

    Show item 1 to 19 of 19  
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    Journal article
    Joseph A. Maldjian, Carol A. Shively, Michael A. Nader, David P. Friedman, Christopher T. Whitlow.
    Erratum to: Multi-Atlas Library for Eliminating Normalization Failures in Non-Human Primates.
    Neuroinformatics 2017, Volume 15 (0) 2017
    Conference paper
    Gowtham Murugesan, Afarin Famili, Elizabeth M. Davenport, Benjamin C. Wagner, Jillian Urban, Mireille Kelley, Derek Jones, Christopher T. Whitlow, Joel D. Stitzel, Joseph A. Maldjian, Albert Montillo.
    Changes in resting state MRI networks from a single season of football distinguishes controls, low, and high head impact exposure.
    14th IEEE International Symposium on Biomedical Imaging, ISBI 2017, Melbourne, Australia, April 18-21, 2017 2017 (0) 2017
    Conference paper
    Prabhat Garg, Elizabeth M. Davenport, Gowtham Murugesan, Benjamin Wagner, Christopher T. Whitlow, Joseph A. Maldjian, Albert Montillo.
    Automatic 1D convolutional neural network-based detection of artifacts in MEG acquired without electrooculography or electrocardiography.
    2017 International Workshop on Pattern Recognition in Neuroimaging, PRNI 2017, Toronto, ON, Canada, June 21-23, 2017 2017 (0) 2017
    Conference paper
    Prabhat Garg, Elizabeth M. Davenport, Gowtham Murugesan, Benjamin C. Wagner, Christopher T. Whitlow, Joseph A. Maldjian, Albert Montillo.
    Using Convolutional Neural Networks to Automatically Detect Eye-Blink Artifacts in Magnetoencephalography Without Resorting to Electrooculography.
    Medical Image Computing and Computer Assisted Intervention - MICCAI 2017 - 20th International Conference, Quebec City, QC, Canada, September 11-13, 2017, Proceedings, Part III 2017 (0) 2017
    Conference paper
    Behrouz Saghafi, Prabhat Garg, Benjamin C. Wagner, S. Carrie Smith, Jianzhao Xu, Ananth J. Madhuranthakam, Youngkyoo Jung, Jasmin Divers, Barry I. Freedman, Joseph A. Maldjian, Albert Montillo.
    Quantifying the Impact of Type 2 Diabetes on Brain Perfusion Using Deep Neural Networks.
    Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support - Third International Workshop, DLMIA 2017, and 7th International Workshop, ML-CDS 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, Se 2017 (0) 2017
    Conference paper
    Joseph A. Maldjian, Carol A. Shively, Michael A. Nader, David Friedman, Christopher T. Whitlow.
    Multi-Atlas Library for Eliminating Normalization Failures in Non-Human Primates.
    Neuroinformatics 2016, Volume 14 (0) 2016
    Conference paper
    Megan E. Johnston, Kun Lu, Joseph A. Maldjian, Youngkyoo Jung.
    Multi-TI Arterial Spin Labeling MRI with Variable TR and Bolus Duration for Cerebral Blood Flow and Arterial Transit Time Mapping.
    IEEE Trans. Med. Imaging 2015, Volume 34 (0) 2015
    Journal article
    Ashley A. Weaver, Callistus M. Nguyen, Samantha L. Schoell, Joseph A. Maldjian, Joel D. Stitzel.
    Image segmentation and registration algorithm to collect thoracic skeleton semilandmarks for characterization of age and sex-based thoracic morphology variation.
    Comp. in Bio. and Med. 2015, Volume 67 (0) 2015
    Journal article
    Joseph A. Maldjian, Elizabeth M. Davenport, Christopher T. Whitlow.
    Graph theoretical analysis of resting-state MEG data: Identifying interhemispheric connectivity and the default mode.
    NeuroImage 2014, Volume 96 (0) 2014
    Conference paper
    Joseph A. Maldjian, James B. Daunais, David Friedman, Christopher T. Whitlow.
    Vervet MRI Atlas and Label Map for Fully Automated Morphometric Analyses.
    Neuroinformatics 2014, Volume 12 (0) 2014
    Journal article
    Sriraam Natarajan, Baidya Nath Saha, Saket Joshi, Adam Edwards, Tushar Khot, Elizabeth M. Davenport, Kristian Kersting, Christopher T. Whitlow, Joseph A. Maldjian.
    Relational learning helps in three-way classification of Alzheimer patients from structural magnetic resonance images of the brain.
    Int. J. Machine Learning Cybernetics 2014, Volume 5 (0) 2014
    Conference paper
    Baidya Nath Saha, Gautam Kunapuli, Nilanjan Ray, Joseph A. Maldjian, Sriraam Natarajan.
    AR-Boost: Reducing Overfitting by a Robust Data-Driven Regularization Strategy.
    Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2013, Prague, Czech Republic, September 23-27, 2013, Proceedings, Part III 2013 (0) 2013
    Conference paper
    Baidya Nath Saha, Sriraam Natarajan, Gopi Kota, Christopher T. Whitlow, Donald W. Bowden, Jasmin Divers, Barry I. Freedman, Joseph A. Maldjian.
    A Novel Hierarchical Level Set with AR-boost for White Matter Lesion Segmentation in Diabetes.
    11th International Conference on Machine Learning and Applications, ICMLA, Boca Raton, FL, USA, December 12-15, 2012. Volume 1 2012 (0) 2012
    Conference paper
    Sriraam Natarajan, Saket Joshi, Baidya Nath Saha, Adam Edwards, Tushar Khot, Elizabeth Moody, Kristian Kersting, Christopher T. Whitlow, Joseph A. Maldjian.
    A Machine Learning Pipeline for Three-Way Classification of Alzheimer Patients from Structural Magnetic Resonance Images of the Brain.
    11th International Conference on Machine Learning and Applications, ICMLA, Boca Raton, FL, USA, December 12-15, 2012. Volume 1 2012 (0) 2012
    Journal article
    Ramon Casanova, Christopher T. Whitlow, Benjamin Wagner, Jeff Williamson, Sally A. Shumaker, Joseph A. Maldjian, Mark A. Espeland.
    High Dimensional Classification of Structural MRI Alzheimer's Disease Data Based on Large Scale Regularization.
    Front. Neuroinform. 2011, Volume 2011 (0) 2011
    Journal article
    Joseph A. Maldjian, Aaron H. Baer, Robert A. Kraft, Paul J. Laurienti, Jonathan H. Burdette.
    Fully Automated Processing of fMRI Data in SPM: from MRI Scanner to PACS.
    Neuroinformatics 2009, Volume 7 (0) 2009
    Conference paper
    W. David Hairston, Joseph A. Maldjian.
    An adaptive staircase procedure for the E-Prime programming environment.
    Computer Methods and Programs in Biomedicine 2009, Volume 93 (0) 2009
    Journal article
    Ann M. Peiffer, Joseph A. Maldjian, Paul J. Laurienti.
    Resurrecting Brinley Plots for a Novel Use: Meta-Analyses of Functional Brain Imaging Data in Older Adults.
    Int. J. Biomedical Imaging 2008, Volume 2008 (0) 2008
    Journal article
    Ramon Casanova, Srikanth Ryali, John T. Serences, Lucie Yang, Robert A. Kraft, Paul J. Laurienti, Joseph A. Maldjian.
    The impact of temporal regularization on estimates of the BOLD hemodynamic response function: A comparative analysis.
    NeuroImage 2008, Volume 40 (0) 2008
    Show item 1 to 19 of 19  

    Your query returned 19 matches in the database.