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Mary Beth Nebel
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2020 – today
- 2023
- [j17]Amanda F. Mejia, David Bolin, Yu Ryan Yue, Jiongran Wang, Brian S. Caffo, Mary Beth Nebel:
Template Independent Component Analysis with Spatial Priors for Accurate Subject-Level Brain Network Estimation and Inference. J. Comput. Graph. Stat. 32(2): 413-433 (2023) - [j16]Damon D. Pham
, Daniel J. McDonald
, Lei Ding, Mary Beth Nebel
, Amanda F. Mejia
:
Less is more: balancing noise reduction and data retention in fMRI with data-driven scrubbing. NeuroImage 270: 119972 (2023) - [j15]Andrew Gaddis, Daniel E. Lidstone, Mary Beth Nebel, Roland R. Griffiths, Stewart H. Mostofsky, Amanda F. Mejia, Frederick Streeter Barrett:
Corrigendum to 'Psilocybin induces spatially constrained alterations in thalamic functional organizaton and connectivity': Neuroimage 2022 Oct 15;260:119434. NeuroImage 274: 120130 (2023) - 2022
- [j14]Yuxuan Zhao
, David S. Matteson
, Stewart H. Mostofsky
, Mary Beth Nebel
, Benjamin B. Risk
:
Group linear non-Gaussian component analysis with applications to neuroimaging. Comput. Stat. Data Anal. 171: 107454 (2022) - [j13]Mary Beth Nebel
, Daniel E. Lidstone, Liwei Wang, David C. Benkeser, Stewart H. Mostofsky, Benjamin B. Risk
:
Accounting for motion in resting-state fMRI: What part of the spectrum are we characterizing in autism spectrum disorder? NeuroImage 257: 119296 (2022) - [j12]Andrew Gaddis
, Daniel E. Lidstone, Mary Beth Nebel, Roland R. Griffiths, Stewart H. Mostofsky, Amanda F. Mejia, Frederick Streeter Barrett:
Psilocybin induces spatially constrained alterations in thalamic functional organizaton and connectivity. NeuroImage 260: 119434 (2022) - 2021
- [j11]Markus D. Schirmer
, Archana Venkataraman, Islem Rekik
, Minjeong Kim, Stewart H. Mostofsky
, Mary Beth Nebel, Keri Rosch, Karen Seymour, Deana Crocetti, Hassna Irzan, Michael Hütel, Sébastien Ourselin
, Neil Marlow
, Andrew Melbourne
, Egor Levchenko, Shuo Zhou
, Mwiza Kunda, Haiping Lu, Nicha C. Dvornek, Juntang Zhuang
, Gideon Pinto, Sandip Samal, Jennings Zhang
, Jorge L. Bernal-Rusiel, Rudolph Pienaar, Ai Wern Chung
:
Neuropsychiatric disease classification using functional connectomics - results of the connectomics in neuroimaging transfer learning challenge. Medical Image Anal. 70: 101972 (2021) - [j10]Benjamin B. Risk
, Raphiel J. Murden
, Junjie Wu
, Mary Beth Nebel
, Arun Venkataraman
, Zhengwu Zhang
, Deqiang Qiu
:
Which multiband factor should you choose for your resting-state fMRI study? NeuroImage 234: 117965 (2021) - [j9]Niharika Shimona D'Souza, Mary Beth Nebel, Deana Crocetti, Joshua Robinson, Nicholas F. Wymbs, Stewart H. Mostofsky, Archana Venkataraman:
Deep sr-DDL: Deep structurally regularized dynamic dictionary learning to integrate multimodal and dynamic functional connectomics data for multidimensional clinical characterizations. NeuroImage 241: 118388 (2021) - [c7]Niharika Shimona D'Souza, Mary Beth Nebel, Deana Crocetti, Joshua Robinson, Stewart Mostofsky, Archana Venkataraman:
A Matrix Autoencoder Framework to Align the Functional and Structural Connectivity Manifolds as Guided by Behavioral Phenotypes. MICCAI (7) 2021: 625-636 - [c6]Niharika Shimona D'Souza, Mary Beth Nebel, Deana Crocetti, Joshua Robinson, Stewart Mostofsky, Archana Venkataraman:
M-GCN: A Multimodal Graph Convolutional Network to Integrate Functional and Structural Connectomics Data to Predict Multidimensional Phenotypic Characterizations. MIDL 2021: 119-130 - [i7]Niharika Shimona D'Souza, Mary Beth Nebel, Deana Crocetti, Nicholas F. Wymbs, Joshua Robinson, Stewart Mostofsky, Archana Venkataraman:
A Matrix Autoencoder Framework to Align the Functional and Structural Connectivity Manifolds as Guided by Behavioral Phenotypes. CoRR abs/2105.14409 (2021) - 2020
- [j8]Niharika Shimona D'Souza, Mary Beth Nebel
, Nicholas F. Wymbs, Stewart H. Mostofsky, Archana Venkataraman:
A joint network optimization framework to predict clinical severity from resting state functional MRI data. NeuroImage 206 (2020) - [c5]Niharika Shimona D'Souza, Mary Beth Nebel, Deana Crocetti, Nicholas F. Wymbs, Joshua Robinson, Stewart Mostofsky, Archana Venkataraman:
A Deep-Generative Hybrid Model to Integrate Multimodal and Dynamic Connectivity for Predicting Spectrum-Level Deficits in Autism. MICCAI (7) 2020: 437-447 - [i6]Markus D. Schirmer, Archana Venkataraman, Islem Rekik, Minjeong Kim, Stewart Mostofsky, Mary Beth Nebel, Keri Rosch, Karen Seymour, Deana Crocetti, Hassna Irzan, Michael Hütel, Sébastien Ourselin, Neil Marlow, Andrew Melbourne
, Egor Levchenko, Shuo Zhou
, Mwiza Kunda, Haiping Lu, Nicha C. Dvornek, Juntang Zhuang, Gideon Pinto, Sandip Samal, Jorge L. Bernal-Rusiel, Rudolph Pienaar, Ai Wern Chung:
Neuropsychiatric Disease Classification Using Functional Connectomics - Results of the Connectomics in NeuroImaging Transfer Learning Challenge. CoRR abs/2006.03611 (2020) - [i5]Niharika Shimona D'Souza, Mary Beth Nebel, Nicholas F. Wymbs, Stewart Mostofsky, Archana Venkataraman:
A Coupled Manifold Optimization Framework to Jointly Model the Functional Connectomics and Behavioral Data Spaces. CoRR abs/2007.01929 (2020) - [i4]Niharika Shimona D'Souza, Mary Beth Nebel, Nicholas F. Wymbs, Stewart Mostofsky, Archana Venkataraman:
Integrating Neural Networks and Dictionary Learning for Multidimensional Clinical Characterizations from Functional Connectomics Data. CoRR abs/2007.01930 (2020) - [i3]Niharika Shimona D'Souza, Mary Beth Nebel, Deana Crocetti, Nicholas F. Wymbs, Joshua Robinson, Stewart Mostofsky, Archana Venkataraman:
A Deep-Generative Hybrid Model to Integrate Multimodal and Dynamic Connectivity for Predicting Spectrum-Level Deficits in Autism. CoRR abs/2007.01931 (2020) - [i2]Niharika Shimona D'Souza, Mary Beth Nebel, Deana Crocetti, Nicholas F. Wymbs, Joshua Robinson, Stewart H. Mostofsky, Archana Venkataraman:
Deep sr-DDL: Deep Structurally Regularized Dynamic Dictionary Learning to Integrate Multimodal and Dynamic Functional Connectomics data for Multidimensional Clinical Characterizations. CoRR abs/2008.12410 (2020) - [i1]Niharika Shimona D'Souza, Mary Beth Nebel, Nicholas F. Wymbs, Stewart H. Mostofsky, Archana Venkataraman:
A Joint Network Optimization Framework to Predict Clinical Severity from Resting State Functional MRI Data. CoRR abs/2009.03238 (2020)
2010 – 2019
- 2019
- [j7]Dina R. Dajani, Catherine A. Burrows
, Mary Beth Nebel
, Stewart H. Mostofsky, Kathleen M. Gates, Lucina Q. Uddin:
Parsing Heterogeneity in Autism Spectrum Disorder and Attention-Deficit/Hyperactivity Disorder with Individual Connectome Mapping. Brain Connect. 9(9): 673-691 (2019) - [c4]Niharika Shimona D'Souza, Mary Beth Nebel
, Nicholas F. Wymbs, Stewart Mostofsky, Archana Venkataraman:
A Coupled Manifold Optimization Framework to Jointly Model the Functional Connectomics and Behavioral Data Spaces. IPMI 2019: 605-616 - [c3]Niharika Shimona D'Souza, Mary Beth Nebel
, Nicholas F. Wymbs, Stewart Mostofsky, Archana Venkataraman:
Integrating Neural Networks and Dictionary Learning for Multidimensional Clinical Characterizations from Functional Connectomics Data. MICCAI (3) 2019: 709-717 - 2018
- [j6]Amanda F. Mejia, Mary Beth Nebel
, Anita D. Barber
, Ann S. Choe, James J. Pekar
, Brian S. Caffo, Martin A. Lindquist:
Improved estimation of subject-level functional connectivity using full and partial correlation with empirical Bayes shrinkage. NeuroImage 172: 478-491 (2018) - [c2]Niharika Shimona D'Souza, Mary Beth Nebel
, Nicholas F. Wymbs, Stewart Mostofsky, Archana Venkataraman:
A Generative-Discriminative Basis Learning Framework to Predict Clinical Severity from Resting State Functional MRI Data. MICCAI (3) 2018: 163-171 - 2017
- [j5]Ann S. Choe, Mary Beth Nebel
, Anita D. Barber
, Jessica R. Cohen, Yuting Xu
, James J. Pekar
, Brian Caffo, Martin A. Lindquist:
Comparing test-retest reliability of dynamic functional connectivity methods. NeuroImage 158: 155-175 (2017) - [c1]Archana Venkataraman, Nicholas F. Wymbs, Mary Beth Nebel
, Stewart Mostofsky:
A Unified Bayesian Approach to Extract Network-Based Functional Differences from a Heterogeneous Patient Cohort. CNI@MICCAI 2017: 60-69 - 2015
- [j4]Amanda F. Mejia, Mary Beth Nebel
, Haochang Shou, Ciprian M. Crainiceanu, James J. Pekar
, Stewart H. Mostofsky, Brian Caffo, Martin A. Lindquist
:
Improving reliability of subject-level resting-state fMRI parcellation with shrinkage estimators. NeuroImage 112: 14-29 (2015) - 2014
- [j3]John Muschelli, Mary Beth Nebel
, Brian S. Caffo, Anita D. Barber
, James J. Pekar
, Stewart H. Mostofsky:
Reduction of motion-related artifacts in resting state fMRI using aCompCor. NeuroImage 96: 22-35 (2014) - [j2]Martin A. Lindquist, Yuting Xu
, Mary Beth Nebel
, Brian S. Caffo:
Evaluating dynamic bivariate correlations in resting-state fMRI: A comparison study and a new approach. NeuroImage 101: 531-546 (2014) - [j1]Haochang Shou, Ani Eloyan, Mary Beth Nebel
, Amanda F. Mejia, James J. Pekar
, Stewart H. Mostofsky, Brian S. Caffo, Martin A. Lindquist, Ciprian M. Crainiceanu:
Shrinkage prediction of seed-voxel brain connectivity using resting state fMRI. NeuroImage 102: 938-944 (2014)
Coauthor Index
aka: Stewart Mostofsky
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