Cargando…
Brain Decoding Using fMRI Images for Multiple Subjects through Deep Learning
Substantial information related to human cerebral conditions can be decoded through various noninvasive evaluating techniques like fMRI. Exploration of the neuronal activity of the human brain can divulge the thoughts of a person like what the subject is perceiving, thinking, or visualizing. Further...
Autores principales: | Qureshi, Muhammad Bilal, Azad, Laraib, Qureshi, Muhammad Shuaib, Aslam, Sheraz, Aljarbouh, Ayman, Fayaz, Muhammad |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8904097/ https://www.ncbi.nlm.nih.gov/pubmed/35273647 http://dx.doi.org/10.1155/2022/1124927 |
Ejemplares similares
-
An Improved Brain MRI Classification Methodology Based on Statistical Features and Machine Learning Algorithms
por: Fayaz, Muhammad, et al.
Publicado: (2021) -
Prediction and Analysis of Autism Spectrum Disorder Using Machine Learning Techniques
por: Qureshi, Muhammad Shuaib, et al.
Publicado: (2023) -
An Efficient Methodology for Brain MRI Classification Based on DWT and Convolutional Neural Network
por: Fayaz, Muhammad, et al.
Publicado: (2021) -
Retracted: Brain Decoding Using fMRI Images for Multiple Subjects through Deep Learning
por: Methods in Medicine, Computational and Mathematical
Publicado: (2023) -
Evaluation of Functional Decline in Alzheimer’s Dementia Using 3D Deep Learning and Group ICA for rs-fMRI Measurements
por: Qureshi, Muhammad Naveed Iqbal, et al.
Publicado: (2019)