Rachisky, Irina

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

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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

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Longitudinal measurement and hierarchical classification framework for the prediction of Alzheimer’s disease

Huang, M., Yang, W., Feng, Q., Chen, W., Initiative, T. A. D. N., Weiner, M. W., Aisen, P., Petersen, R., Jack, C. R., Jagust, W., et al. (2017) · Scientific Reports

Dementia and Cognitive Impairment ResearchAlzheimer's disease research and treatments

Cited by 55

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