Amy Kuceyeski
Amy Kuceyeski
Weill Cornell Medicine
Verified email at - Homepage
Cited by
Cited by
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
Machine learning in resting-state fMRI analysis
M Khosla, K Jamison, GH Ngo, A Kuceyeski, MR Sabuncu
Magnetic resonance imaging 64, 101-121, 2019
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
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
3D convolutional neural networks for classification of functional connectomes
M Khosla, K Jamison, A Kuceyeski, MR Sabuncu
International Workshop on Deep Learning in Medical Image Analysis, 137-145, 2018
Heritability and interindividual variability of regional structure-function coupling
Z Gu, KW Jamison, MR Sabuncu, A Kuceyeski
Nature Communications 12 (1), 4894, 2021
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
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
The ENIGMA Stroke Recovery Working Group: Big data neuroimaging to study brain–behavior relationships after stroke
SL Liew, A Zavaliangos‐Petropulu, N Jahanshad, CE Lang, KS Hayward, ...
Human brain mapping 43 (1), 129-148, 2022
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
Distinct functional and structural connections predict crystallised and fluid cognition in healthy adults
E Dhamala, KW Jamison, A Jaywant, S Dennis, A Kuceyeski
Human brain mapping 42 (10), 3102-3118, 2021
Machine learning methods predict individual upper-limb motor impairment following therapy in chronic stroke
C Tozlu, D Edwards, A Boes, D Labar, KZ Tsagaris, J Silverstein, ...
Neurorehabilitation and neural repair 34 (5), 428-439, 2020
Combining quantitative susceptibility mapping with automatic zero reference (QSM0) and myelin water fraction imaging to quantify iron-related myelin damage in chronic active MS …
Y Yao, TD Nguyen, S Pandya, Y Zhang, SH Rúa, I Kovanlikaya, ...
American Journal of Neuroradiology 39 (2), 303-310, 2018
The impact of white matter hyperintensities on the structural connectome in late-life depression: Relationship to executive functions
M Respino, A Jaywant, A Kuceyeski, LW Victoria, MJ Hoptman, MA Scult, ...
NeuroImage: Clinical 23, 101852, 2019
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
The application of a mathematical model linking structural and functional connectomes in severe brain injury
A Kuceyeski, S Shah, JP Dyke, S Bickel, F Abdelnour, ND Schiff, HU Voss, ...
NeuroImage: Clinical 11, 635-647, 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
Receptor-informed network control theory links LSD and psilocybin to a flattening of the brain’s control energy landscape
SP Singleton, AI Luppi, RL Carhart-Harris, J Cruzat, L Roseman, DJ Nutt, ...
Nature communications 13 (1), 5812, 2022
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
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