Mary Beth Nebel

31 papers Journal 24Unranked 7
YearRankTypeTitle / Venue / Authors
2023 J jnl
Corrigendum to 'Psilocybin induces spatially constrained alterations in thalamic functional organizaton and connectivity': Neuroimage 2022 Oct 15;260:119434.
NeuroImage
Andrew Gaddis, Daniel E. Lidstone, Mary Beth Nebel, Roland R. Griffiths, Stewart H. Mostofsky, Amanda F. Mejia, Frederick Streeter Barrett
2023 J jnl
Less is more: balancing noise reduction and data retention in fMRI with data-driven scrubbing.
NeuroImage
Damon D. Pham, Daniel J. McDonald, Lei Ding, Mary Beth Nebel, Amanda F. Mejia
2023 J jnl
Template Independent Component Analysis with Spatial Priors for Accurate Subject-Level Brain Network Estimation and Inference.
J. Comput. Graph. Stat.
Amanda F. Mejia, David Bolin, Yu Ryan Yue, Jiongran Wang, Brian S. Caffo, Mary Beth Nebel
2022 J jnl
Accounting for motion in resting-state fMRI: What part of the spectrum are we characterizing in autism spectrum disorder?
NeuroImage
Mary Beth Nebel, Daniel E. Lidstone, Liwei Wang, David C. Benkeser, Stewart H. Mostofsky, Benjamin B. Risk
2022 J jnl
Group linear non-Gaussian component analysis with applications to neuroimaging.
Comput. Stat. Data Anal.
Yuxuan Zhao, David S. Matteson, Stewart H. Mostofsky, Mary Beth Nebel, Benjamin B. Risk
2022 J jnl
Psilocybin induces spatially constrained alterations in thalamic functional organizaton and connectivity.
NeuroImage
Andrew Gaddis, Daniel E. Lidstone, Mary Beth Nebel, Roland R. Griffiths, Stewart H. Mostofsky, Amanda F. Mejia, Frederick Streeter Barrett
2021 — conf
A Matrix Autoencoder Framework to Align the Functional and Structural Connectivity Manifolds as Guided by Behavioral Phenotypes.
MICCAI (7)
Niharika Shimona D'Souza, Mary Beth Nebel, Deana Crocetti, Joshua Robinson, Stewart Mostofsky, Archana Venkataraman
2021 J jnl
A Matrix Autoencoder Framework to Align the Functional and Structural Connectivity Manifolds as Guided by Behavioral Phenotypes.
CoRR
Niharika Shimona D'Souza, Mary Beth Nebel, Deana Crocetti, Nicholas F. Wymbs, Joshua Robinson, Stewart Mostofsky, Archana Venkataraman
2021 J jnl
Deep sr-DDL: Deep structurally regularized dynamic dictionary learning to integrate multimodal and dynamic functional connectomics data for multidimensional clinical characterizations.
NeuroImage
Niharika Shimona D'Souza, Mary Beth Nebel, Deana Crocetti, Joshua Robinson, Nicholas F. Wymbs, Stewart H. Mostofsky, Archana Venkataraman
2021 — conf
M-GCN: A Multimodal Graph Convolutional Network to Integrate Functional and Structural Connectomics Data to Predict Multidimensional Phenotypic Characterizations.
MIDL
Niharika Shimona D'Souza, Mary Beth Nebel, Deana Crocetti, Joshua Robinson, Stewart Mostofsky, Archana Venkataraman
2021 J jnl
Neuropsychiatric disease classification using functional connectomics - results of the connectomics in neuroimaging transfer learning challenge.
Medical Image Anal.
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
2021 J jnl
Which multiband factor should you choose for your resting-state fMRI study?
NeuroImage
Benjamin B. Risk, Raphiel J. Murden, Junjie Wu, Mary Beth Nebel, Arun Venkataraman, Zhengwu Zhang, Deqiang Qiu
2020 J jnl
A Coupled Manifold Optimization Framework to Jointly Model the Functional Connectomics and Behavioral Data Spaces.
CoRR
Niharika Shimona D'Souza, Mary Beth Nebel, Nicholas F. Wymbs, Stewart Mostofsky, Archana Venkataraman
2020 — conf
A Deep-Generative Hybrid Model to Integrate Multimodal and Dynamic Connectivity for Predicting Spectrum-Level Deficits in Autism.
MICCAI (7)
Niharika Shimona D'Souza, Mary Beth Nebel, Deana Crocetti, Nicholas F. Wymbs, Joshua Robinson, Stewart Mostofsky, Archana Venkataraman
2020 J jnl
A Deep-Generative Hybrid Model to Integrate Multimodal and Dynamic Connectivity for Predicting Spectrum-Level Deficits in Autism.
CoRR
Niharika Shimona D'Souza, Mary Beth Nebel, Deana Crocetti, Nicholas F. Wymbs, Joshua Robinson, Stewart Mostofsky, Archana Venkataraman
2020 J jnl
A Joint Network Optimization Framework to Predict Clinical Severity from Resting State Functional MRI Data.
CoRR
Niharika Shimona D'Souza, Mary Beth Nebel, Nicholas F. Wymbs, Stewart H. Mostofsky, Archana Venkataraman
2020 J jnl
A joint network optimization framework to predict clinical severity from resting state functional MRI data.
NeuroImage
Niharika Shimona D'Souza, Mary Beth Nebel, Nicholas F. Wymbs, Stewart H. Mostofsky, Archana Venkataraman
2020 J jnl
Deep sr-DDL: Deep Structurally Regularized Dynamic Dictionary Learning to Integrate Multimodal and Dynamic Functional Connectomics data for Multidimensional Clinical Characterizations.
CoRR
Niharika Shimona D'Souza, Mary Beth Nebel, Deana Crocetti, Nicholas F. Wymbs, Joshua Robinson, Stewart H. Mostofsky, Archana Venkataraman
2020 J jnl
Integrating Neural Networks and Dictionary Learning for Multidimensional Clinical Characterizations from Functional Connectomics Data.
CoRR
Niharika Shimona D'Souza, Mary Beth Nebel, Nicholas F. Wymbs, Stewart Mostofsky, Archana Venkataraman
2020 J jnl
Neuropsychiatric Disease Classification Using Functional Connectomics - Results of the Connectomics in NeuroImaging Transfer Learning Challenge.
CoRR
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
2019 — conf
A Coupled Manifold Optimization Framework to Jointly Model the Functional Connectomics and Behavioral Data Spaces.
IPMI
Niharika Shimona D'Souza, Mary Beth Nebel, Nicholas F. Wymbs, Stewart Mostofsky, Archana Venkataraman
2019 — conf
Integrating Neural Networks and Dictionary Learning for Multidimensional Clinical Characterizations from Functional Connectomics Data.
MICCAI (3)
Niharika Shimona D'Souza, Mary Beth Nebel, Nicholas F. Wymbs, Stewart Mostofsky, Archana Venkataraman
2019 J jnl
Parsing Heterogeneity in Autism Spectrum Disorder and Attention-Deficit/Hyperactivity Disorder with Individual Connectome Mapping.
Brain Connect.
Dina R. Dajani, Catherine A. Burrows, Mary Beth Nebel, Stewart H. Mostofsky, Kathleen M. Gates, Lucina Q. Uddin
2018 — conf
A Generative-Discriminative Basis Learning Framework to Predict Clinical Severity from Resting State Functional MRI Data.
MICCAI (3)
Niharika Shimona D'Souza, Mary Beth Nebel, Nicholas F. Wymbs, Stewart Mostofsky, Archana Venkataraman
2018 J jnl
Improved estimation of subject-level functional connectivity using full and partial correlation with empirical Bayes shrinkage.
NeuroImage
Amanda F. Mejia, Mary Beth Nebel, Anita D. Barber, Ann S. Choe, James J. Pekar, Brian S. Caffo, Martin A. Lindquist
2017 — conf
A Unified Bayesian Approach to Extract Network-Based Functional Differences from a Heterogeneous Patient Cohort.
CNI@MICCAI
Archana Venkataraman, Nicholas F. Wymbs, Mary Beth Nebel, Stewart Mostofsky
2017 J jnl
Comparing test-retest reliability of dynamic functional connectivity methods.
NeuroImage
Ann S. Choe, Mary Beth Nebel, Anita D. Barber, Jessica R. Cohen, Yuting Xu, James J. Pekar, Brian Caffo, Martin A. Lindquist
2015 J jnl
Improving reliability of subject-level resting-state fMRI parcellation with shrinkage estimators.
NeuroImage
Amanda F. Mejia, Mary Beth Nebel, Haochang Shou, Ciprian M. Crainiceanu, James J. Pekar, Stewart H. Mostofsky, Brian Caffo, Martin A. Lindquist
2014 J jnl
Evaluating dynamic bivariate correlations in resting-state fMRI: A comparison study and a new approach.
NeuroImage
Martin A. Lindquist, Yuting Xu, Mary Beth Nebel, Brian S. Caffo
2014 J jnl
Reduction of motion-related artifacts in resting state fMRI using aCompCor.
NeuroImage
John Muschelli, Mary Beth Nebel, Brian S. Caffo, Anita D. Barber, James J. Pekar, Stewart H. Mostofsky
2014 J jnl
Shrinkage prediction of seed-voxel brain connectivity using resting state fMRI.
NeuroImage
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