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Journal Articles
- 2023
[j15]Nayoung Kim
, Keith Jamison, Abhishek Jaywant, Jacob Garetti, Emily Blunt, Arindam Roychoudhury, Tracy Butler, Kristen Dams-O'Connor, Shahenda Khedr, Chun-Cheng Chen, Teena Shetty, Robert J. Winchell, N. Jeremy Hill, Nicholas D. Schiff, Amy Kuceyeski, Sudhin A. Shah:
Comparisons of electrophysiological markers of impaired executive attention after traumatic brain injury and in healthy aging. NeuroImage 274: 120126 (2023)- [j14]Andrea I. Luppi, Joana Cabral, Rodrigo Cofré, Pedro A. M. Mediano, Fernando E. Rosas, Abid Y. Qureshi, Amy Kuceyeski, Enzo Tagliazucchi, Federico Raimondo, Gustavo Deco, James M. Shine, Morten L. Kringelbach, Patricio Orio, ShiNung Ching, Yonatan Sanz Perl, Michael N. Diringer, Robert D. Stevens, Jacobo Diego Sitt:
Computational modelling in disorders of consciousness: Closing the gap towards personalised models for restoring consciousness. NeuroImage 275: 120162 (2023) - 2022
- [j13]Zijin Gu, Keith Jamison, Meenakshi Khosla, Emily J. Allen, Yihan Wu, Ghislain St-Yves, Thomas Naselaris, Kendrick N. Kay, Mert R. Sabuncu, Amy Kuceyeski:
NeuroGen: Activation optimized image synthesis for discovery neuroscience. NeuroImage 247: 118812 (2022) - [j12]Gia H. Ngo, Meenakshi Khosla, Keith Jamison, Amy Kuceyeski, Mert R. Sabuncu:
Predicting individual task contrasts from resting-state functional connectivity using a surface-based convolutional network. NeuroImage 248: 118849 (2022) - 2021
- [j11]Elizabeth M. Sweeney, Thanh D. Nguyen, Amy Kuceyeski, Sarah M. Ryan, Shun Zhang, Lily Zexter, Yi Wang, Susan A. Gauthier:
Estimation of Multiple Sclerosis lesion age on magnetic resonance imaging. NeuroImage 225: 117451 (2021) - [j10]Emily R. Olafson, Keith Jamison, Elizabeth M. Sweeney, Hesheng Liu, Danhong Wang, Joel Bruss, Aaron D. Boes, Amy Kuceyeski:
Functional connectome reorganization relates to post-stroke motor recovery and structural and functional disconnection. NeuroImage 245: 118642 (2021) - 2019
- [j9]Michael B. Gerber, Alasdair C. McLean, Samuel J. Stephen, Alex G. Chalco, Usman M. Arshad, Gary W. Thickbroom, Josh Silverstein, K. Zoe Tsagaris, Amy Kuceyeski, Kathleen Friel, Taiza E. G. Santos, Dylan J. Edwards:
NeuroMeasure: A Software Package for Quantification of Cortical Motor Maps Using Frameless Stereotaxic Transcranial Magnetic Stimulation. Frontiers Neuroinformatics 13: 23 (2019) - [j8]Meenakshi Khosla, Keith Jamison, Amy Kuceyeski, Mert R. Sabuncu:
Ensemble learning with 3D convolutional neural networks for functional connectome-based prediction. NeuroImage 199: 651-662 (2019) - 2015
- [j7]Krishna Juluru, Noor Al Khori, Sha He, Amy Kuceyeski, John Eng:
A Mathematical Simulation to Assess Variability in Lung Nodule Size Measurement Associated With Nodule-Slice Position. J. Digit. Imaging 28(3): 373-379 (2015) - 2014
- [j6]Lidia Glodzik, Amy Kuceyeski, Henry Rusinek, Wai Tsui, L. Mosconi, Y. Li, R. S. Osorio, S. Williams, C. Randall, N. Spector, P. McHugh, John Murray, Elizabeth Pirraglia, S. Vallabhajosula, A. Raj, Mony J. de Leon:
Reduced glucose uptake and Aβ in brain regions with hyperintensities in connected white matter. NeuroImage 100: 684-691 (2014) - [j5]Eve LoCastro, Amy Kuceyeski, A. Raj:
Brainography: An Atlas-Independent Surface and Network Rendering Tool for Neural Connectivity Visualization. Neuroinformatics 12(2): 355-359 (2014) - 2013
- [j4]Amy Kuceyeski, Jun Maruta, Norman Relkin, Ashish Raj:
The Network Modification (NeMo) Tool: Elucidating the Effect of White Matter Integrity Changes on Cortical and Subcortical Structural Connectivity. Brain Connect. 3(5): 451-463 (2013) - 2012
- [j3]Amy Kuceyeski, Yu Zhang, Ashish Raj:
Linking white matter integrity loss to associated cortical regions using structural connectivity information in Alzheimer's disease and fronto-temporal dementia: The Loss in Connectivity (LoCo) score. NeuroImage 61(4): 1311-1323 (2012) - 2011
- [j2]Amy Kuceyeski, Jun Maruta, Sumit N. Niogi, Jamshid Ghajar, Ashish Raj:
The generation and validation of white matter connectivity importance maps. NeuroImage 58(1): 109-121 (2011) - 2008
- [j1]Daniela Calvetti, Amy Kuceyeski, Erkki Somersalo:
Sampling-Based Analysis of a Spatially Distributed Model for Liver Metabolism at Steady State. Multiscale Model. Simul. 7(1): 407-431 (2008)
Conference and Workshop Papers
- 2023
- [c7]Zijin Gu, Keith Jamison, Amy Kuceyeski, Mert R. Sabuncu:
Decoding natural image stimuli from fMRI data with a surface-based convolutional network. MIDL 2023: 107-118 - 2022
- [c6]Meenakshi Khosla, Keith Jamison, Amy Kuceyeski, Mert R. Sabuncu:
Characterizing the Ventral Visual Stream with Response-Optimized Neural Encoding Models. NeurIPS 2022 - 2020
- [c5]Gia H. Ngo, Meenakshi Khosla, Keith Jamison, Amy Kuceyeski, Mert R. Sabuncu:
From Connectomic to Task-Evoked Fingerprints: Individualized Prediction of Task Contrasts from Resting-State Functional Connectivity. MICCAI (7) 2020: 62-71 - [c4]Meenakshi Khosla, Gia H. Ngo, Keith Jamison, Amy Kuceyeski, Mert R. Sabuncu:
A Shared Neural Encoding Model for the Prediction of Subject-Specific fMRI Response. MICCAI (7) 2020: 539-548 - [c3]Meenakshi Khosla, Gia H. Ngo, Keith Jamison, Amy Kuceyeski, Mert R. Sabuncu:
Neural encoding with visual attention. NeurIPS 2020 - 2019
- [c2]Meenakshi Khosla, Keith Jamison, Amy Kuceyeski, Mert R. Sabuncu:
Detecting Abnormalities in Resting-State Dynamics: An Unsupervised Learning Approach. MLMI@MICCAI 2019: 301-309 - 2018
- [c1]Meenakshi Khosla, Keith Jamison, Amy Kuceyeski, Mert R. Sabuncu:
3D Convolutional Neural Networks for Classification of Functional Connectomes. DLMIA/ML-CDS@MICCAI 2018: 137-145
Informal and Other Publications
- 2022
- [i10]Zijin Gu, Keith Jamison, Mert R. Sabuncu, Amy Kuceyeski:
Personalized visual encoding model construction with small data. CoRR abs/2202.02245 (2022) - [i9]Zijin Gu, Keith Jamison, Amy Kuceyeski, Mert R. Sabuncu:
Decoding natural image stimuli from fMRI data with a surface-based convolutional network. CoRR abs/2212.02409 (2022) - 2021
- [i8]Zijin Gu, Keith Jamison, Meenakshi Khosla, Emily J. Allen, Yihan Wu, Thomas Naselaris, Kendrick N. Kay, Mert R. Sabuncu, Amy Kuceyeski:
NeuroGen: activation optimized image synthesis for discovery neuroscience. CoRR abs/2105.07140 (2021) - 2020
- [i7]Meenakshi Khosla, Gia H. Ngo, Keith Jamison, Amy Kuceyeski, Mert R. Sabuncu:
A shared neural encoding model for the prediction of subject-specific fMRI response. CoRR abs/2006.15802 (2020) - [i6]Gia H. Ngo, Meenakshi Khosla, Keith Jamison, Amy Kuceyeski, Mert R. Sabuncu:
From Connectomic to Task-evoked Fingerprints: Individualized Prediction of Task Contrasts from Resting-state Functional Connectivity. CoRR abs/2008.02961 (2020) - [i5]Meenakshi Khosla, Gia H. Ngo, Keith Jamison, Amy Kuceyeski, Mert R. Sabuncu:
Neural encoding with visual attention. CoRR abs/2010.00516 (2020) - 2019
- [i4]Meenakshi Khosla, Keith Jamison, Amy Kuceyeski, Mert R. Sabuncu:
Detecting abnormalities in resting-state dynamics: An unsupervised learning approach. CoRR abs/1908.06168 (2019) - 2018
- [i3]Meenakshi Khosla, Keith Jamison, Amy Kuceyeski, Mert R. Sabuncu:
3D Convolutional Neural Networks for Classification of Functional Connectomes. CoRR abs/1806.04209 (2018) - [i2]Meenakshi Khosla, Keith Jamison, Amy Kuceyeski, Mert R. Sabuncu:
Ensemble learning with 3D convolutional neural networks for connectome-based prediction. CoRR abs/1809.06219 (2018) - [i1]Meenakshi Khosla, Keith Jamison, Gia H. Ngo, Amy Kuceyeski, Mert R. Sabuncu:
Machine learning in resting-state fMRI analysis. CoRR abs/1812.11477 (2018)
Coauthor Index
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