Amy Kuceyeski
Amy Kuceyeski
Weill Cornell Medical College
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A network diffusion model of disease progression in dementia
A Raj, A Kuceyeski, M Weiner
Neuron 73 (6), 1204-1215, 2012
Network diffusion model of progression predicts longitudinal patterns of atrophy and metabolism in Alzheimer’s disease
A Raj, E LoCastro, A Kuceyeski, D Tosun, N Relkin, M Weiner, ...
Cell reports 10 (3), 359-369, 2015
The Network Modification (NeMo) Tool: elucidating the effect of white matter integrity changes on cortical and subcortical structural connectivity
A Kuceyeski, J Maruta, N Relkin, A Raj
Brain connectivity 3 (5), 451-463, 2013
Spatial patterns of genome‐wide expression profiles reflect anatomic and fiber connectivity architecture of healthy human brain
P Goel, A Kuceyeski, E LoCastro, A Raj
Human brain mapping 35 (8), 4204-4218, 2014
Structural connectome disruption at baseline predicts 6‐months post‐stroke outcome
A Kuceyeski, BB Navi, H Kamel, A Raj, N Relkin, J Toglia, C Iadecola, ...
Human brain mapping 37 (7), 2587-2601, 2016
Predicting future brain tissue loss from white matter connectivity disruption in ischemic stroke
A Kuceyeski, H Kamel, BB Navi, A Raj, C Iadecola
Stroke 45 (3), 717-722, 2014
3D convolutional neural networks for classification of functional connectomes
M Khosla, K Jamison, A Kuceyeski, MR Sabuncu
Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical …, 2018
Opportunities for guided multichannel non-invasive transcranial current stimulation in poststroke rehabilitation
B Otal, A Dutta, Á Foerster, O Ripolles, A Kuceyeski, PC Miranda, ...
Frontiers in neurology 7, 21, 2016
The generation and validation of white matter connectivity importance maps
A Kuceyeski, J Maruta, SN Niogi, J Ghajar, A Raj
NeuroImage 58 (1), 109-121, 2011
Exploring the brain's structural connectome: A quantitative stroke lesion‐dysfunction mapping study
A Kuceyeski, BB Navi, H Kamel, N Relkin, M Villanueva, A Raj, J Toglia, ...
Human brain mapping 36 (6), 2147-2160, 2015
Linking white matter integrity loss to associated cortical regions using structural connectivity information in Alzheimer's disease and fronto-temporal dementia: the Loss in …
A Kuceyeski, Y Zhang, A Raj
Neuroimage 61 (4), 1311-1323, 2012
Reduced glucose uptake and Aβ in brain regions with hyperintensities in connected white matter
L Glodzik, A Kuceyeski, H Rusinek, W Tsui, L Mosconi, Y Li, RS Osorio, ...
Neuroimage 100, 684-691, 2014
Profilometry: a new statistical framework for the characterization of white matter pathways, with application to multiple sclerosis
M Dayan, E Monohan, S Pandya, A Kuceyeski, TD Nguyen, A Raj, ...
Human brain mapping 37 (3), 989-1004, 2016
Machine learning in resting-state fMRI analysis
M Khosla, K Jamison, GH Ngo, A Kuceyeski, MR Sabuncu
Magnetic resonance imaging 64, 101-121, 2019
Statistics of weighted brain networks reveal hierarchical organization and Gaussian degree distribution
M Ivković, A Kuceyeski, A Raj
PloS one 7 (6), e35029, 2012
Modeling the relationship among gray matter atrophy, abnormalities in connecting white matter, and cognitive performance in early multiple sclerosis
AF Kuceyeski, W Vargas, M Dayan, E Monohan, C Blackwell, A Raj, ...
American Journal of Neuroradiology 36 (4), 702-709, 2015
Loss in connectivity among regions of the brain reward system in alcohol dependence
A Kuceyeski, DJ Meyerhoff, TC Durazzo, A Raj
Human brain mapping 34 (12), 3129-3142, 2013
Ensemble learning with 3D convolutional neural networks for functional connectome-based prediction
M Khosla, K Jamison, A Kuceyeski, MR Sabuncu
Neuroimage 199, 651-662, 2019
Sampling-based analysis of a spatially distributed model for liver metabolism at steady state
D Calvetti, A Kuceyeski, E Somersalo
Multiscale Modeling & Simulation 7 (1), 407-431, 2008
Resting-state functional connectivity magnetic resonance imaging and outcome after acute stroke
J Puig, G Blasco, A Alberich-Bayarri, G Schlaug, G Deco, C Biarnes, ...
Stroke 49 (10), 2353-2360, 2018
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