Joseph A. Maldjian

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 20

Top Topics

Brain Tumor Segmentation

Top Venues

BrainLes@MICCAI (2)

Neuroinformatics

Publications

N. C. d. Fonseca, Jason Bowerman, Pegah Askari, Amy L. Proskovec, Fabricio Stewan Feltrin, Daniel Veltkamp, Heather Early, Ben C. Wagner, Elizabeth M. Davenport, Joseph A. Maldjian
Magnetoencephalography Atlas Viewer for Dipole Localization and Viewing. J. Imaging 10 (4) (2024)
Alex Treacher, Prabhat Garg, Elizabeth M. Davenport, Ryan Godwin, Amy Proskovec, Leonardo Guimaraes Bezerra, Gowtham Murugesan, Benjamin C. Wagner, Christopher T. Whitlow, Joel D. Stitzel, Joseph A. Maldjian, Albert Montillo
MEGnet: Automatic ICA-based artifact removal for MEG using spatiotemporal convolutional neural networks. NeuroImage 241 (2021)
Chandan Ganesh Bangalore Yogananda, Yudhajit Das, Benjamin C. Wagner, Sahil S. Nalawade, Divya Reddy, James Holcomb, Marco C. Pinho, Baowei Fei, Ananth J. Madhuranthakam, Joseph A. Maldjian
Disparity Autoencoders for Multi-class Brain Tumor Segmentation. BrainLes@MICCAI (2) (2021)
Sahil S. Nalawade, Chandan Ganesh, Benjamin C. Wagner, Divya Reddy, Yudhajit Das, Fang F. Yu, Baowei Fei, Ananth J. Madhuranthakam, Joseph A. Maldjian
Federated Learning for Brain Tumor Segmentation Using MRI and Transformers. BrainLes@MICCAI (2) (2021)
Raghav Mehta, Angelos Filos, Ujjwal Baid, Chiharu Sako, Richard McKinley, Michael Rebsamen, Katrin Dätwyler, Raphael Meier, Piotr Radojewski, Gowtham Krishnan Murugesan, Sahil S. Nalawade, Chandan Ganesh, Benjamin C. Wagner, Fang F. Yu, Baowei Fei, Ananth J. Madhuranthakam, Joseph A. Maldjian, Laura Alexandra Daza, Catalina Gómez, Pablo Arbeláez, Chengliang Dai, Shuo Wang, Hadrien Raynaud, Yuanhan Mo, Elsa D. Angelini, Yike Guo, Wenjia Bai, Subhashis Banerjee, Linmin Pei, Murat AK, Sarahi Rosas-González, Ilyess Zemmoura, Clovis Tauber, Minh H. Vu, Tufve Nyholm, Tommy Löfstedt, Laura Mora Ballestar, Verónica Vilaplana, Hugh McHugh, Gonzalo D. Maso Talou, Alan Wang, Jay B. Patel, Ken Chang, Katharina Hoebel, Mishka Gidwani, Nishanth Thumbavanam Arun, Sharut Gupta, Mehak Aggarwal, Praveer Singh, Elizabeth R. Gerstner, Jayashree Kalpathy-Cramer, Nicolas Boutry, Alexis Huard, Lasitha Vidyaratne, Md Monibor Rahman, Khan M. Iftekharuddin, Joseph Chazalon, Élodie Puybareau, Guillaume Tochon, Jun Ma, Mariano Cabezas, Xavier Lladó, Arnau Oliver, Liliana Valencia, Sergi Valverde, Mehdi Amian, Mohammadreza Soltaninejad, Andriy Myronenko, Ali Hatamizadeh, Xue Feng, Quan Dou, Nicholas J. Tustison, Craig Meyer, Nisarg A. Shah, Sanjay Talbar, Marc-André Weber, Abhishek Mahajan, András Jakab, Roland Wiest, Hassan M. Fathallah-Shaykh, Arash Nazeri, Mikhail Milchenko, Daniel S. Marcus, Aikaterini Kotrotsou, Rivka Colen, John B. Freymann, Justin S. Kirby, Christos Davatzikos, Bjoern H. Menze, Spyridon Bakas, Yarin Gal, Tal Arbel
QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Metrics and Benchmarking Results. CoRR (2021)
Gowtham Krishnan Murugesan, Sahil S. Nalawade, Chandan Ganesh, Benjamin C. Wagner, Fang F. Yu, Baowei Fei, Ananth J. Madhuranthakam, Joseph A. Maldjian
Multidimensional and Multiresolution Ensemble Networks for Brain Tumor Segmentation. BrainLes@MICCAI (1) (2020)
Gowtham Krishnan Murugesan, Chandan Ganesh Bangalore Yogananda, Sahil S. Nalawade, Elizabeth M. Davenport, Benjamin C. Wagner, Won Hwa Kim, Joseph A. Maldjian
BrainNET: Inference of Brain Network Topology Using Machine Learning. Brain Connect. 10 (8) (2020)
Debadatta Dash, Alan Wisler, Paul Ferrari, Elizabeth M. Davenport, Joseph A. Maldjian, Jun Wang
MEG Sensor Selection for Neural Speech Decoding. IEEE Access 8 (2020)
Chandan Ganesh Bangalore Yogananda, Benjamin C. Wagner, Gowtham Krishnan Murugesan, Ananth J. Madhuranthakam, Joseph A. Maldjian
A Deep Learning Pipeline for Automatic Skull Stripping and Brain Segmentation. ISBI (2019)
Gowtham Krishnan Murugesan, Sahil S. Nalawade, Chandan Ganesh Bangalore Yogananda, Benjamin C. Wagner, Fang F. Yu, Baowei Fei, Ananth J. Madhuranthakam, Joseph A. Maldjian
Multidimensional and Multiresolution Ensemble Networks for Brain Tumor Segmentation. BrainLes@MICCAI (2) (2019)
Chandan Ganesh Bangalore Yogananda, Benjamin C. Wagner, Sahil S. Nalawade, Gowtham Krishnan Murugesan, Marco C. Pinho, Baowei Fei, Ananth J. Madhuranthakam, Joseph A. Maldjian
Fully Automated Brain Tumor Segmentation and Survival Prediction of Gliomas Using Deep Learning and MRI. BrainLes@MICCAI (2) (2019)
Debadatta Dash, Paul Ferrari, Saleem Malik, Albert Montillo, Joseph A. Maldjian, Jun Wang
Determining the Optimal Number of MEG Trials: A Machine Learning and Speech Decoding Perspective. BI (2018)
Behrouz Saghafi, Gowtham Murugesan, Elizabeth M. Davenport, Benjamin C. Wagner, Jillian Urban, Mireille Kelley, Derek Jones, Alexander Powers, Christopher T. Whitlow, Joel D. Stitzel, Joseph A. Maldjian, Albert Montillo
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. Medical Imaging: Computer-Aided Diagnosis (2018)
Gowtham Krishnan Murugesan, Behrouz Saghafi, Elizabeth M. Davenport, Benjamin C. Wagner, Jillian Urban-Hobson, Mireille Kelley, Derek Jones, Alex Powers, Christopher T. Whitlow, Joel D. Stitzel, Joseph A. Maldjian, Albert Montillo
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. Medical Imaging: Computer-Aided Diagnosis (2018)
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 15 (1) (2017)
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. ISBI (2017)
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. MICCAI (3) (2017)
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. DLMIA/ML-CDS@MICCAI (2017)
Prabhat Garg, Elizabeth M. Davenport, Gowtham Murugesan, Benjamin C. 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. PRNI (2017)
Joseph A. Maldjian, Carol A. Shively, Michael A. Nader, David P. Friedman, Christopher T. Whitlow
Multi-Atlas Library for Eliminating Normalization Failures in Non-Human Primates. Neuroinformatics 14 (2) (2016)
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. Medical Imaging 34 (6) (2015)
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. Comput. Biol. Medicine 67 (2015)
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. Mach. Learn. Cybern. 5 (5) (2014)
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 96 (2014)
Joseph A. Maldjian, James B. Daunais, David P. Friedman, Christopher T. Whitlow
Vervet MRI Atlas and Label Map for Fully Automated Morphometric Analyses. Neuroinformatics 12 (4) (2014)
Baidya Nath Saha, Gautam Kunapuli, Nilanjan Ray, Joseph A. Maldjian, Sriraam Natarajan
AR-Boost: Reducing Overfitting by a Robust Data-Driven Regularization Strategy. ECML/PKDD (3) (2013)
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. ICMLA (1) (2012)
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. ICMLA (1) (2012)
Ramon Casanova, Christopher T. Whitlow, Benjamin C. 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. Frontiers Neuroinformatics 5 (2011)
W. David Hairston, Joseph A. Maldjian
An adaptive staircase procedure for the E-Prime programming environment. Comput. Methods Programs Biomed. 93 (1) (2009)
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 7 (1) (2009)
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. Biomed. Imaging 2008 (2008)
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 40 (4) (2008)
Ramon Casanova, Ryali Srikanth, Aaron H. Baer, Paul J. Laurienti, Jonathan H. Burdette, Satoru Hayasaka, Lynn Flowers, Frank Wood, Joseph A. Maldjian
Biological parametric mapping: A statistical toolbox for multimodality brain image analysis. NeuroImage 34 (1) (2007)
Srikanth Ryali, Ramon Casanova, Paul J. Laurienti, Ann M. Peiffer, Joseph A. Maldjian
Estimation of false discovery rates for wavelet-denoised statistical parametric maps. NeuroImage 33 (1) (2006)
Joseph A. Maldjian, Paul J. Laurienti, Jonathan H. Burdette
Precentral gyrus discrepancy in electronic versions of the Talairach atlas. NeuroImage 21 (1) (2004)
Joseph A. Maldjian, Paul J. Laurienti, Robert A. Kraft, Jonathan H. Burdette
An automated method for neuroanatomic and cytoarchitectonic atlas-based interrogation of fMRI data sets. NeuroImage 19 (3) (2003)
Paul J. Laurienti, Aaron S. Field, Jonathan H. Burdette, Joseph A. Maldjian, Yi-Fen Yen, Dixon M. Moody
Dietary Caffeine Consumption Modulates fMRI Measures. NeuroImage 17 (2) (2002)
Ruben C. Gur, Lee Schroeder, Travis Turner, Claire McGrath, Robin M. Chan, Bruce I. Turetsky, David C. Alsop, Joseph A. Maldjian, Raquel E. Gur
Brain Activation during Facial Emotion Processing. NeuroImage 16 (3) (2002)
Daniel D. Langleben, Lee Schroeder, Joseph A. Maldjian, Ruben C. Gur, S. McDonald, John Daniel Ragland, Cormac O'Brien, Anna Rose Childress
Brain Activity during Simulated Deception: An Event-Related Functional Magnetic Resonance Study. NeuroImage 15 (3) (2002)