Sweeney EM, Nguyen TD, Kuceyeski A, Ryan SM, Zhang S, Zexter L, Wang Y, Gauthier SA. Estimation of Multiple Sclerosis lesion age on magnetic resonance imaging. Neuroimage. 2021. 225, p 117451.

Shah SA, Lowder RJ, Kuceyeski A. Quantitative multimodal imaging in traumatic brain injuries producing impaired cognition. Curr Opin Neurol. 2020; 33(6), p 691-698.

Kang Y, Rúa SMH, Kaunzner UW, Perumal J, Nealon N, Qu W, Kothari PJ, Vartanian T, Kuceyeski A, Gauthier SA. A Multi-Ligand Imaging Study Exploring GABAergic Receptor Expression and Inflammation in Multiple Sclerosis. Mol Imaging Biol. 2020; 22(6), p1600-1608.

Dhamala E, Jamison KW, Sabuncu MR, Kuceyeski A. Sex classification using long-range temporal dependence of resting-state functional MRI. Human Brain Mapping. 2020; 41(13), p 3567-3579.

Tozlu C, Edwards D, Boes A, Labar D, Tsagaris KZ, Silverstein J, Lane HP, Sabuncu MR, Liu C, Kuceyeski A. Machine Learning Methods Predict Individual Upper-Limb Motor Impairment Following Therapy in Chronic Stroke. Neurorehabilitation and Neural Repair. 2020; 34(4), p 428-439.

Kuceyeski A, Jamison KW, Owen JP, Raj A, Mukherjee P. Longitudinal increases in structural connectome segregation and functional connectome integration are associated with better recovery after mild TBIHuman Brain Mapping. 2019; 40, p 4441-4456. 

Khosla M, Jamison KW, Kuceyeski A, Sabuncu MR. Detecting abnormalities in resting-state dynamics: An unsupervised learning approach. [preprint]. doi: 1908.06168. Posted on arXiv August 16, 2019.

Khosla M, Jamison KW, Kuceyeski A, Sabuncu MR. Ensemble learning with 3D convolutional neural networks for connectome-based prediction. NeuroImage. 2019; 199, p 651-662.


Khosla M, Jamison KW, Ngo GHKuceyeski A, Sabuncu MR. Machine learning in resting-state fMRI analysis. Magnetic Resonance Imaging, 2019; 64. 

Sun Y, Li Y, Kuceyeski A, Basu S. Large spectral density matrix estimation by thresholding. [preprint]. doi: 1812:00532. Posted on arXiv December 3, 2018.

Respino M, Jaywant A, Kuceyeski A, Victoria LW, Hoptman MJ, Scult MA, Sankin L, Pimontel M, Liston C, Belvederi Murri M, Alexopoulos GS, Gunning FM. The impact of white matter hyperintensities on the structural connectome in late-life depression: Relationship to executive functions. Neuroimage Clin. 2019; 23, p 101852.

Kang Y, Schlyer D, Kaunzner UW, Kuceyeski A, Kothari PJ, Gauthier SA. Comparison of two different methods of image analysis for the assessment of microglial activation in patients with multiple sclerosis using (R)-[N-methyl-carbon-11]PK11195. PLoS One. 2018;13(8): e0201289.

Pandya S, Kuceyeski A, Raj A. The Brain's Structural Connectome Mediates the Relationship between Regional Neuroimaging Biomarkers in Alzheimer's Disease. J Alzheimers Dis. 2017;55(4):1639-1657.