Balasubramanian, Archana B.

Predicting alzheimer’s disease progression using multi-modal deep learning approach

Lee, G., Nho, K., Kang, B., Sohn, K.-A., Kim, D., Initiative, F. A. D. N., Weiner, M. W., Aisen, P., Petersen, R., Jack, C. R., et al. (2019) · Scientific Reports

Dementia and Cognitive Impairment ResearchAlzheimer's disease research and treatments

Cited by 406

Alzheimer disease brain atrophy subtypes are associated with cognition and rate of decline

Risacher, S. L., Anderson, W. H., Charil, A., Castelluccio, P. F., Shcherbinin, S., Saykin, A. J., Schwarz, A. J., Initiative, F. T. A. D. N., Initiative, A. D. N., Weiner, M. W., et al. (2017) · Neurology

Dementia and Cognitive Impairment ResearchAlzheimer's disease research and treatments

Cited by 163

Multimodal Hippocampal Subfield Grading For Alzheimer’s Disease Classification

Hett, K., Ta, V.-T., Catheline, G., Tourdias, T., Manjón, J. V., Coupé, P., Initiative, A. D. N., Weiner, M. W., Aisen, P., Petersen, R., et al. (2019) · Scientific Reports

Dementia and Cognitive Impairment ResearchAlzheimer's disease research and treatments

Cited by 49

Diagnosing dementia in the oldest-old

Brumback-Peltz, C., Balasubramanian, A. B., Corrada, M. M., & Kawas, C. H. (2011) · Maturitas

Dementia and Cognitive Impairment ResearchAging and Gerontology Research

Cited by 49

Genetic studies of plasma analytes identify novel potential biomarkers for several complex traits

Deming, Y., Xia, J., Cai, Y., Lord, J., Del-Aguila, J. L., Fernandez, M. V., Carrell, D., Black, K., Budde, J., Ma, S., et al. (2016) · Scientific Reports

Genetic Associations and EpidemiologyGenetic Mapping and Diversity in Plants and Animals

Cited by 28