Nasrallah, Ilya

18F‐flortaucipir tau positron emission tomography distinguishes established progressive supranuclear palsy from controls and Parkinson disease: A multicenter study

Schonhaut, D. R., McMillan, C. T., Spina, S., Dickerson, B. C., Siderowf, A., Devous, M. D., Tsai, R., Winer, J., Russell, D. S., Litvan, I., et al. (2017) · Annals of Neurology

Parkinson's Disease Mechanisms and TreatmentsDementia and Cognitive Impairment Research

Cited by 175

The Brain Chart of Aging: Machine‐learning analytics reveals links between brain aging, white matter disease, amyloid burden, and cognition in the iSTAGING consortium of 10,216 harmonized MR scans

Habes, M., Pomponio, R., Shou, H., Doshi, J., Mamourian, E., Erus, G., Nasrallah, I., Launer, L. J., Rashid, T., Bilgel, M., et al. (2021) · Alzheimer's & Dementia

Dementia and Cognitive Impairment ResearchCerebrovascular and genetic disorders

Cited by 173

Artificial intelligence system approaching neuroradiologist-level differential diagnosis accuracy at brain MRI

Rauschecker, A. M., Rudie, J. D., Xie, L., Wang, J., Duong, M. T., Botzolakis, E. J., Kovalovich, A. M., Egan, J., Cook, T. C., Bryan, R. N., et al. (2020) · Radiology

Artificial Intelligence in Healthcare and EducationBrain Tumor Detection and Classification

Cited by 148

Identification of Arx transcriptional targets in the developing basal forebrain

Fulp, C. T., Cho, G., Marsh, E. D., Nasrallah, I. M., Labosky, P. A., & Golden, J. A. (2008) · Human Molecular Genetics

Neurogenesis and neuroplasticity mechanismsGenetics and Neurodevelopmental Disorders

Cited by 138

Multimodal evaluation demonstrates in vivo 18F-AV-1451 uptake in autopsy-confirmed corticobasal degeneration

McMillan, C. T., Irwin, D. J., Nasrallah, I., Phillips, J. S., Spindler, M., Rascovsky, K., Ternes, K., Jester, C., Wolk, D. A., Kwong, L. K., et al. (2016) · Acta Neuropathologica

Alzheimer's disease research and treatmentsDementia and Cognitive Impairment Research

Cited by 87

Tau PET imaging predicts cognition in atypical variants of Alzheimer's disease

Phillips, J. S., Das, S. R., McMillan, C. T., Irwin, D. J., Roll, E. E., Da Re, F., Nasrallah, I. M., Wolk, D. A., & Grossman, M. (2018) · Human Brain Mapping

Dementia and Cognitive Impairment ResearchAlzheimer's disease research and treatments

Cited by 68

18 F-Flortaucipir PET/MRI Correlations in Nonamnestic and Amnestic Variants of Alzheimer Disease

Nasrallah, I. M., Chen, Y. J., Hsieh, M.-K., Phillips, J. S., Ternes, K., Stockbower, G. E., Sheline, Y., McMillan, C. T., Grossman, M., & Wolk, D. A. (2018) · Journal of Nuclear Medicine

Dementia and Cognitive Impairment ResearchAlzheimer's disease research and treatments

Cited by 60

Genetic and clinical correlates of AI-based brain aging patterns in cognitively unimpaired individuals

Skampardoni, I., Nasrallah, I. M., Abdulkadir, A., Wen, J., Melhem, R., Mamourian, E., Erus, G., Doshi, J., Singh, A., Yang, Z., et al. (2024) · JAMA Psychiatry

Dementia and Cognitive Impairment ResearchFunctional Brain Connectivity Studies

Cited by 28

Towards cascading genetic risk in Alzheimer’s disease

Altmann, A., Aksman, L. M., Oxtoby, N. P., Young, A. L., ADNI, Weiner, M., Aisen, P., Petersen, R., Weiner, M., Aisen, P., et al. (2024) · Brain

Dementia and Cognitive Impairment ResearchAlzheimer's disease research and treatments

Cited by 18

Deep learning to quantify the pace of brain aging in relation to neurocognitive changes

Yin, C., Imms, P., Chowdhury, N. F., Chaudhari, N. N., Ping, H., Wang, H., Bogdan, P., Irimia, A., Initiative, T. A. D. N., Weiner, M., et al. (2025) · Proceedings of the National Academy of Sciences

Dementia and Cognitive Impairment ResearchAdvanced MRI Techniques and Applications

Cited by 18