Huber M T, Singh(Signh) A, Cheong M , Urban M, and Bayat M and Fatemi M. Multi-parameter analysis of bladder mechanical properties using ultrasound bladder vibrometry. The Journal of the Acoustical Society of America, 140, 3186-3186 (2016), DOI:http://dx.doi.org/10.1121/1.4970018

Nenadic I , Mynderse L, Husmann D, Mehrmohammadi M, Bayat M, Singh A, Denis M, Urban M, Alizad A, Fatemi M. Noninvasive Evaluation of Bladder Wall Mechanical Properties as a Function of Filling Volume: Potential Application in Bladder Compliance Assessment. PLoS ONE.

X Xu, L Sinha, A Singh, C Yang, J Xiang, KM Tichauer. Quantification of cell surface receptor expression in live tissue culture media using a dual-tracer stain and rinse approach. Proc. SPIE 9328, Imaging, Manipulation, and Analysis of Biomolecules, Cells, and Tissues XIII, 932814 (March 2, 2015); doi:10.1117/12.2078472

Sengupta A, Wang F, Mishra A, Reed JL, Chen LM, Gore JC. Detection and characterization of resting state functional networks in squirrel monkey brain. Cereb Cortex Commun. 2023

Sengupta A, Mishra A, Wang F, Li M, Yang PF, Chen LM, Gore JC. Functional networks in non-human primate spinal cord and the effects of injury. Neuroimage. 2021. 

Gao Y, Sengupta A, Li M, Zu Z, Rogers BP, Anderson AW, Ding Z, Gore JC; Alzheimer's Disease Neuroimaging Initiative. Functional connectivity of white matter as a biomarker of cognitive decline in Alzheimer's disease. PLoS One. 2020

Sengupta A, Agarwal S, Gupta PK, Ahlawat S, Patir R, Gupta RK, Singh A. On differentiation between vasogenic edema and non-enhancing tumor in high-grade glioma patients using a support vector machine classifier based upon pre and post-surgery MRI images. Eur J Radiol. 2018

Sengupta A, Ramaniharan AK, Gupta RK, Agarwal S, Singh A. Glioma grading using a machine-learning framework based on optimized features obtained from T1 perfusion MRI and volumes of tumor components. J Magn Reson Imaging. 2019 

I currently work on methods to characterize and localize abnormal brain activity and connectivity in epilepsy with neuroimaging. Lab website: https://my.vanderbilt.edu/vlmorgan/

Pridmore M, Castoro R, McCollum MS, Kang H, Li J, Dortch R. Length-dependent MRI of hereditary neuropathy with liability to pressure palsies. Ann Clin Transl Neurol. 2020;7(1):15-25. doi:10.1002/acn3.50953

Pechman K, Davis L, Pridmore M, Elliot S, Gifford K, Hohman T, & Jefferson A L. Comparison of hippocampal segmentation methods to differentiate participants with mild cognitive impairment and normal cognition: The vanderbilt memory and aging project. Alzheimer's & Dementia: The Journal of the Alzheimer's Association. 2016;12(7 Supplement), P549-P550. https://doi.org/10.1016/j.jalz.2016.06.1074

Foster P, Hubbard T, Campbell R, Poole J, Pridmore M, Bell C, & Harrison D. Spreading activation in emotional memory networks and the cumulative effects of somatic markers. Brain Informatics. 2016;1-9. https://doi.org/10.1007/s40708-016-0054-2

Jefferson, A., Liu, D., Gifford, K., Hohman, T., Rane, S., Pechman, K., Logan, L., Benson, E., Wisniewski, K., Wiggins, M., Samuels, L., Pridmore, M., & Acosta, L. (2015). Clinician staging of mild cognitive impairment severity yields neuropsychological, neuroimaging, and genetic susceptibility differences among subtypes: The vanderbilt memory and aging project. Alzheimer's & Dementia: The Journal of the Alzheimer's Association, 11(7), P241. https://doi.org/10.1016/j.jalz.2015.07.292