Using Semi‐supervised Variational Autoencoder and Acute fMRI Changes to Predict Antidepressant Treatment Responses Among Older Adults with Depression.

MLA

Wang, Linghai, et al. “Using Semi‐supervised Variational Autoencoder and Acute FMRI Changes to Predict Antidepressant Treatment Responses Among Older Adults with Depression.” Alzheimer’s & Dementia: The Journal of the Alzheimer’s Association, vol. 19, Dec. 2023, pp. 1–2. EBSCOhost, https://doi.org/10.1002/alz.079181.

APA

Wang, L., Lee, J., Mizuno, A., Wilson, J. D., Lamb, S., Gerlach, A., Wu, M., & Aizenstein, H. J. (2023). Using Semi‐supervised Variational Autoencoder and Acute fMRI Changes to Predict Antidepressant Treatment Responses Among Older Adults with Depression. Alzheimer’s & Dementia: The Journal of the Alzheimer’s Association, 19, 1–2. https://doi.org/10.1002/alz.079181

Chicago

Wang, Linghai, Jihui Lee, Akiko Mizuno, James D Wilson, Shannon Lamb, Andrew Gerlach, Minjie Wu, and Howard J Aizenstein. 2023. “Using Semi‐supervised Variational Autoencoder and Acute FMRI Changes to Predict Antidepressant Treatment Responses Among Older Adults with Depression.” Alzheimer’s & Dementia: The Journal of the Alzheimer’s Association 19 (December): 1–2. doi:10.1002/alz.079181.