Joseph A. Maldjian

41 papers Journal 24Unranked 17

Year	Rank	Type	Title / Venue / Authors
2024	—	`conf`	Advancing Brain Tumor Analysis: Curating a High-Quality MRI Dataset for Deep Learning-Based Molecular Marker Profiling. CVPR Workshops Divya D. Reddy, Niloufar Saadat, James M. Holcomb, Benjamin C. Wagner, Nghi C. Truong, Jason Bowerman, Kimmo J. Hatanpaa, Toral R. Patel, Marco C. Pinho, Ananth J. Madhuranthakam, Chandan Ganesh Bangalore Yogananda, Joseph A. Maldjian
2024	J	`jnl`	Magnetoencephalography Atlas Viewer for Dipole Localization and Viewing. J. Imaging 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
2021	—	`conf`	Disparity Autoencoders for Multi-class Brain Tumor Segmentation. BrainLes@MICCAI (2) Chandan Ganesh Bangalore Yogananda, Yudhajit Das, Benjamin C. Wagner, Sahil S. Nalawade, Divya D. Reddy, James M. Holcomb, Marco C. Pinho, Baowei Fei, Ananth J. Madhuranthakam, Joseph A. Maldjian
2021	—	`conf`	Federated Learning for Brain Tumor Segmentation Using MRI and Transformers. BrainLes@MICCAI (2) Sahil S. Nalawade, Chandan Ganesh, Benjamin C. Wagner, Divya D. Reddy, Yudhajit Das, Fang F. Yu, Baowei Fei, Ananth J. Madhuranthakam, Joseph A. Maldjian
2021	J	`jnl`	MEGnet: Automatic ICA-based artifact removal for MEG using spatiotemporal convolutional neural networks. NeuroImage Alex Treacher, Prabhat Garg, Elizabeth M. Davenport, Ryan Godwin, Amy L. Proskovec, Leonardo Guimaraes Bezerra, Gowtham Murugesan, Benjamin C. Wagner, Christopher T. Whitlow, Joel D. Stitzel, Joseph A. Maldjian, Albert Montillo
2021	J	`jnl`	QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Metrics and Benchmarking Results. CoRR 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 Caballero, 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 H. Meyer, Nisarg A. Shah, Sanjay N. 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
2020	J	`jnl`	BrainNET: Inference of Brain Network Topology Using Machine Learning. Brain Connect. Gowtham Krishnan Murugesan, Chandan Ganesh Bangalore Yogananda, Sahil S. Nalawade, Elizabeth M. Davenport, Benjamin C. Wagner, Won Hwa Kim, Joseph A. Maldjian
2020	J	`jnl`	MEG Sensor Selection for Neural Speech Decoding. IEEE Access Debadatta Dash, Alan Wisler, Paul Ferrari, Elizabeth M. Davenport, Joseph A. Maldjian, Jun Wang
2020	—	`conf`	Multidimensional and Multiresolution Ensemble Networks for Brain Tumor Segmentation. BrainLes@MICCAI (1) Gowtham Krishnan Murugesan, Sahil S. Nalawade, Chandan Ganesh, Benjamin C. Wagner, Fang F. Yu, Baowei Fei, Ananth J. Madhuranthakam, Joseph A. Maldjian
2019	—	`conf`	A Deep Learning Pipeline for Automatic Skull Stripping and Brain Segmentation. ISBI Chandan Ganesh Bangalore Yogananda, Benjamin C. Wagner, Gowtham Krishnan Murugesan, Ananth J. Madhuranthakam, Joseph A. Maldjian
2019	—	`conf`	Fully Automated Brain Tumor Segmentation and Survival Prediction of Gliomas Using Deep Learning and MRI. BrainLes@MICCAI (2) Chandan Ganesh Bangalore Yogananda, Benjamin C. Wagner, Sahil S. Nalawade, Gowtham Krishnan Murugesan, Marco C. Pinho, Baowei Fei, Ananth J. Madhuranthakam, Joseph A. Maldjian
2019	—	`conf`	Multidimensional and Multiresolution Ensemble Networks for Brain Tumor Segmentation. BrainLes@MICCAI (2) Gowtham Krishnan Murugesan, Sahil S. Nalawade, Chandan Ganesh Bangalore Yogananda, Benjamin C. Wagner, Fang F. Yu, Baowei Fei, Ananth J. Madhuranthakam, Joseph A. Maldjian
2018	—	`conf`	Determining the Optimal Number of MEG Trials: A Machine Learning and Speech Decoding Perspective. BI Debadatta Dash, Paul Ferrari, Saleem Malik, Albert Montillo, Joseph A. Maldjian, Jun Wang
2018	—	`conf`	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. Computer-Aided Diagnosis 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
2018	—	`conf`	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. Computer-Aided Diagnosis 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
2017	—	`conf`	Automatic 1D convolutional neural network-based detection of artifacts in MEG acquired without electrooculography or electrocardiography. PRNI Prabhat Garg, Elizabeth M. Davenport, Gowtham Murugesan, Benjamin C. Wagner, Christopher T. Whitlow, Joseph A. Maldjian, Albert Montillo
2017	—	`conf`	Changes in resting state MRI networks from a single season of football distinguishes controls, low, and high head impact exposure. ISBI 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
2017	J	`jnl`	Erratum to: Multi-Atlas Library for Eliminating Normalization Failures in Non-Human Primates. Neuroinformatics Joseph A. Maldjian, Carol A. Shively, Michael A. Nader, David P. Friedman, Christopher T. Whitlow
2017	—	`conf`	Quantifying the Impact of Type 2 Diabetes on Brain Perfusion Using Deep Neural Networks. DLMIA/ML-CDS@MICCAI 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
2017	—	`conf`	Using Convolutional Neural Networks to Automatically Detect Eye-Blink Artifacts in Magnetoencephalography Without Resorting to Electrooculography. MICCAI (3) Prabhat Garg, Elizabeth M. Davenport, Gowtham Murugesan, Benjamin C. Wagner, Christopher T. Whitlow, Joseph A. Maldjian, Albert Montillo
2016	J	`jnl`	Multi-Atlas Library for Eliminating Normalization Failures in Non-Human Primates. Neuroinformatics Joseph A. Maldjian, Carol A. Shively, Michael A. Nader, David P. Friedman, Christopher T. Whitlow
2015	J	`jnl`	Image segmentation and registration algorithm to collect thoracic skeleton semilandmarks for characterization of age and sex-based thoracic morphology variation. Comput. Biol. Medicine Ashley A. Weaver, Callistus M. Nguyen, Samantha L. Schoell, Joseph A. Maldjian, Joel D. Stitzel
2015	J	`jnl`	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 Megan E. Johnston, Kun Lu, Joseph A. Maldjian, Youngkyoo Jung
2014	J	`jnl`	Graph theoretical analysis of resting-state MEG data: Identifying interhemispheric connectivity and the default mode. NeuroImage Joseph A. Maldjian, Elizabeth M. Davenport, Christopher T. Whitlow
2014	J	`jnl`	Relational learning helps in three-way classification of Alzheimer patients from structural magnetic resonance images of the brain. Int. J. Mach. Learn. Cybern. Sriraam Natarajan, Baidya Nath Saha, Saket Joshi, Adam Edwards, Tushar Khot, Elizabeth M. Davenport, Kristian Kersting, Christopher T. Whitlow, Joseph A. Maldjian
2014	J	`jnl`	Vervet MRI Atlas and Label Map for Fully Automated Morphometric Analyses. Neuroinformatics Joseph A. Maldjian, James B. Daunais, David P. Friedman, Christopher T. Whitlow
2013	—	`conf`	AR-Boost: Reducing Overfitting by a Robust Data-Driven Regularization Strategy. ECML/PKDD (3) Baidya Nath Saha, Gautam Kunapuli, Nilanjan Ray, Joseph A. Maldjian, Sriraam Natarajan
2012	—	`conf`	A Machine Learning Pipeline for Three-Way Classification of Alzheimer Patients from Structural Magnetic Resonance Images of the Brain. ICMLA (1) Sriraam Natarajan, Saket Joshi, Baidya Nath Saha, Adam Edwards, Tushar Khot, Elizabeth Moody, Kristian Kersting, Christopher T. Whitlow, Joseph A. Maldjian
2012	—	`conf`	A Novel Hierarchical Level Set with AR-boost for White Matter Lesion Segmentation in Diabetes. ICMLA (1) Baidya Nath Saha, Sriraam Natarajan, Gopi Kota, Christopher T. Whitlow, Donald W. Bowden, Jasmin Divers, Barry I. Freedman, Joseph A. Maldjian
2011	J	`jnl`	High Dimensional Classification of Structural MRI Alzheimer's Disease Data Based on Large Scale Regularization. Frontiers Neuroinformatics Ramon Casanova, Christopher T. Whitlow, Benjamin C. Wagner, Jeff Williamson, Sally A. Shumaker, Joseph A. Maldjian, Mark A. Espeland
2009	J	`jnl`	An adaptive staircase procedure for the E-Prime programming environment. Comput. Methods Programs Biomed. W. David Hairston, Joseph A. Maldjian
2009	J	`jnl`	Fully Automated Processing of fMRI Data in SPM: from MRI Scanner to PACS. Neuroinformatics Joseph A. Maldjian, Aaron H. Baer, Robert A. Kraft, Paul J. Laurienti, Jonathan H. Burdette
2008	J	`jnl`	Resurrecting Brinley Plots for a Novel Use: Meta-Analyses of Functional Brain Imaging Data in Older Adults. Int. J. Biomed. Imaging Ann M. Peiffer, Joseph A. Maldjian, Paul J. Laurienti
2008	J	`jnl`	The impact of temporal regularization on estimates of the BOLD hemodynamic response function: A comparative analysis. NeuroImage Ramon Casanova, Srikanth Ryali, John T. Serences, Lucie Yang, Robert A. Kraft, Paul J. Laurienti, Joseph A. Maldjian
2007	J	`jnl`	Biological parametric mapping: A statistical toolbox for multimodality brain image analysis. NeuroImage Ramon Casanova, Ryali Srikanth, Aaron H. Baer, Paul J. Laurienti, Jonathan H. Burdette, Satoru Hayasaka, Lynn Flowers, Frank Wood, Joseph A. Maldjian
2006	J	`jnl`	Estimation of false discovery rates for wavelet-denoised statistical parametric maps. NeuroImage Srikanth Ryali, Ramon Casanova, Paul J. Laurienti, Ann M. Peiffer, Joseph A. Maldjian
2004	J	`jnl`	Precentral gyrus discrepancy in electronic versions of the Talairach atlas. NeuroImage Joseph A. Maldjian, Paul J. Laurienti, Jonathan H. Burdette
2003	J	`jnl`	An automated method for neuroanatomic and cytoarchitectonic atlas-based interrogation of fMRI data sets. NeuroImage Joseph A. Maldjian, Paul J. Laurienti, Robert A. Kraft, Jonathan H. Burdette
2002	J	`jnl`	Brain Activation during Facial Emotion Processing. NeuroImage Ruben C. Gur, Lee Schroeder, Travis Turner, Claire McGrath, Robin M. Chan, Bruce I. Turetsky, David C. Alsop, Joseph A. Maldjian, Raquel E. Gur
2002	J	`jnl`	Brain Activity during Simulated Deception: An Event-Related Functional Magnetic Resonance Study. NeuroImage Daniel D. Langleben, Lee Schroeder, Joseph A. Maldjian, Ruben C. Gur, S. McDonald, John Daniel Ragland, Cormac O'Brien, Anna Rose Childress
2002	J	`jnl`	Dietary Caffeine Consumption Modulates fMRI Measures. NeuroImage Paul J. Laurienti, Aaron S. Field, Jonathan H. Burdette, Joseph A. Maldjian, Yi-Fen Yen, Dixon M. Moody