Amy Kuceyeski

Publication Activity (10 Years)

Years Active: 2008-2023
Publications (10 Years): 26

Top Topics

Convolutional Neural Networks

Ensemble Learning

Top Venues

Publications

Zijin Gu, Keith Jamison, Amy Kuceyeski, Mert R. Sabuncu
Decoding natural image stimuli from fMRI data with a surface-based convolutional network. MIDL (2023)
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 (2023)
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 (2023)
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 (2022)
Meenakshi Khosla, Keith Jamison, Amy Kuceyeski, Mert R. Sabuncu
Characterizing the Ventral Visual Stream with Response-Optimized Neural Encoding Models. NeurIPS (2022)
Zijin Gu, Keith Jamison, Mert R. Sabuncu, Amy Kuceyeski
Personalized visual encoding model construction with small data. CoRR (2022)
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 (2022)
Zijin Gu, Keith Jamison, Amy Kuceyeski, Mert R. Sabuncu
Decoding natural image stimuli from fMRI data with a surface-based convolutional network. CoRR (2022)
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 (2021)
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 (2021)
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 (2021)
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 (2020)
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)
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 (2020)
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)
Meenakshi Khosla, Gia H. Ngo, Keith Jamison, Amy Kuceyeski, Mert R. Sabuncu
Neural encoding with visual attention. NeurIPS (2020)
Meenakshi Khosla, Gia H. Ngo, Keith Jamison, Amy Kuceyeski, Mert R. Sabuncu
Neural encoding with visual attention. CoRR (2020)
Meenakshi Khosla, Keith Jamison, Amy Kuceyeski, Mert R. Sabuncu
Ensemble learning with 3D convolutional neural networks for functional connectome-based prediction. NeuroImage 199 (2019)
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 (2019)
Meenakshi Khosla, Keith Jamison, Amy Kuceyeski, Mert R. Sabuncu
Detecting Abnormalities in Resting-State Dynamics: An Unsupervised Learning Approach. MLMI@MICCAI (2019)
Meenakshi Khosla, Keith Jamison, Amy Kuceyeski, Mert R. Sabuncu
Detecting abnormalities in resting-state dynamics: An unsupervised learning approach. CoRR (2019)
Meenakshi Khosla, Keith Jamison, Amy Kuceyeski, Mert R. Sabuncu
3D Convolutional Neural Networks for Classification of Functional Connectomes. DLMIA/ML-CDS@MICCAI (2018)
Meenakshi Khosla, Keith Jamison, Amy Kuceyeski, Mert R. Sabuncu
3D Convolutional Neural Networks for Classification of Functional Connectomes. CoRR (2018)
Meenakshi Khosla, Keith Jamison, Gia H. Ngo, Amy Kuceyeski, Mert R. Sabuncu
Machine learning in resting-state fMRI analysis. CoRR (2018)
Meenakshi Khosla, Keith Jamison, Amy Kuceyeski, Mert R. Sabuncu
Ensemble learning with 3D convolutional neural networks for connectome-based prediction. CoRR (2018)
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) (2015)
Eve LoCastro, Amy Kuceyeski, A. Raj
Brainography: An Atlas-Independent Surface and Network Rendering Tool for Neural Connectivity Visualization. Neuroinformatics 12 (2) (2014)
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 (2014)
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) (2013)
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) (2012)
Amy Kuceyeski, Jun Maruta, Sumit N. Niogi, Jamshid Ghajar, Ashish Raj
The generation and validation of white matter connectivity importance maps. NeuroImage 58 (1) (2011)
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) (2008)