Gharaibeh, M.; Almahmoud, M.; Ali, M.Z.; Al-Badarneh, A.; El-Heis, M.; Abualigah, L.; Altalhi, M.; Alaiad, A.; Gandomi, A.H.
Early Diagnosis of Alzheimer’s Disease Using Cerebral Catheter Angiogram Neuroimaging: A Novel Model Based on Deep Learning Approaches. Big Data Cogn. Comput. 2022, 6, 2.
https://doi.org/10.3390/bdcc6010002
AMA Style
Gharaibeh M, Almahmoud M, Ali MZ, Al-Badarneh A, El-Heis M, Abualigah L, Altalhi M, Alaiad A, Gandomi AH.
Early Diagnosis of Alzheimer’s Disease Using Cerebral Catheter Angiogram Neuroimaging: A Novel Model Based on Deep Learning Approaches. Big Data and Cognitive Computing. 2022; 6(1):2.
https://doi.org/10.3390/bdcc6010002
Chicago/Turabian Style
Gharaibeh, Maha, Mothanna Almahmoud, Mostafa Z. Ali, Amer Al-Badarneh, Mwaffaq El-Heis, Laith Abualigah, Maryam Altalhi, Ahmad Alaiad, and Amir H. Gandomi.
2022. "Early Diagnosis of Alzheimer’s Disease Using Cerebral Catheter Angiogram Neuroimaging: A Novel Model Based on Deep Learning Approaches" Big Data and Cognitive Computing 6, no. 1: 2.
https://doi.org/10.3390/bdcc6010002
APA Style
Gharaibeh, M., Almahmoud, M., Ali, M. Z., Al-Badarneh, A., El-Heis, M., Abualigah, L., Altalhi, M., Alaiad, A., & Gandomi, A. H.
(2022). Early Diagnosis of Alzheimer’s Disease Using Cerebral Catheter Angiogram Neuroimaging: A Novel Model Based on Deep Learning Approaches. Big Data and Cognitive Computing, 6(1), 2.
https://doi.org/10.3390/bdcc6010002