Gao, Yutong, Lewis, Noah, Calhoun, Vince D, and Miller, Robyn L. Interpretable LSTM model reveals transiently-realized patterns of dynamic brain connectivity that predict patient deterioration or recovery from very mild cognitive impairment. Retrieved from https://par.nsf.gov/biblio/10569606. Computers in Biology and Medicine 161.C Web. doi:10.1016/j.compbiomed.2023.107005.

Gao, Yutong, Lewis, Noah, Calhoun, Vince D, & Miller, Robyn L. Interpretable LSTM model reveals transiently-realized patterns of dynamic brain connectivity that predict patient deterioration or recovery from very mild cognitive impairment. Computers in Biology and Medicine, 161 (C). Retrieved from https://par.nsf.gov/biblio/10569606. https://doi.org/10.1016/j.compbiomed.2023.107005

Gao, Yutong, Lewis, Noah, Calhoun, Vince D, and Miller, Robyn L. "Interpretable LSTM model reveals transiently-realized patterns of dynamic brain connectivity that predict patient deterioration or recovery from very mild cognitive impairment". Computers in Biology and Medicine 161 (C). Country unknown/Code not available: Elsevier. https://doi.org/10.1016/j.compbiomed.2023.107005. https://par.nsf.gov/biblio/10569606.

@article{osti_10569606,
place = {Country unknown/Code not available}, title = {Interpretable LSTM model reveals transiently-realized patterns of dynamic brain connectivity that predict patient deterioration or recovery from very mild cognitive impairment}, url = {https://par.nsf.gov/biblio/10569606}, DOI = {10.1016/j.compbiomed.2023.107005}, abstractNote = {}, journal = {Computers in Biology and Medicine}, volume = {161}, number = {C}, publisher = {Elsevier}, author = {Gao, Yutong and Lewis, Noah and Calhoun, Vince D and Miller, Robyn L}, }