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Saman Sarraf
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Year
DeepAD: Alzheimer′ s Disease Classification via Deep Convolutional Neural Networks using MRI and fMRI
S Sarraf, DD DeSouza, J Anderson, G Tofighi
bioRxiv, 070441, 2016
3722016
Age differences in the functional interactions among the default, frontoparietal control, and dorsal attention networks
C Grady, S Sarraf, C Saverino, K Campbell
Neurobiology of aging 41, 159-172, 2016
3602016
Classification of Alzheimer's Disease using fMRI Data and Deep Learning Convolutional Neural Networks
S Sarraf, G Tofighi
Cornell University Library arXiv:1603.08631, 2016
3182016
Deep Learning-based Pipeline to Recognize Alzheimer′ s Disease using fMRI Data
S Sarraf, G Tofighi
Future Technologies Conference (FTC), 816-820, 2016
2632016
Classification of Alzheimer's Disease Structural MRI Data by Deep Learning Convolutional Neural Networks
S Sarraf, G Tofighi
Cornell University Library arXiv:1607.06583, 2016
1172016
MCADNNet: Recognizing stages of cognitive impairment through efficient convolutional fMRI and MRI neural network topology models
S Sarraf, DD Desouza, JAE Anderson, C Saverino
IEEE Access 7, 155584-155600, 2019
662019
The associative memory deficit in aging is related to reduced selectivity of brain activity during encoding
C Saverino, Z Fatima, S Sarraf, A Oder, SC Strother, CL Grady
Journal of cognitive neuroscience 28 (9), 1331-1344, 2016
452016
Classification of alzheimer’s disease using fmri data and deep learning convolutional neural networks. arXiv 2016
S Sarraf, G Tofighi
arXiv preprint arXiv:1603.08631, 2016
452016
OViTAD: Optimized vision transformer to predict various stages of Alzheimer’s disease using resting-state fMRI and structural MRI data
S Sarraf, A Sarraf, DD DeSouza, JAE Anderson, M Kabia, ADN Initiative
Brain Sciences 13 (2), 260, 2023
362023
A robust and adaptive decision-making algorithm for detecting brain networks using functional mri within the spatial and frequency domain
S Sarraf, C Saverino, AM Golestani
2016 IEEE-EMBS International Conference on Biomedical and Health Informatics …, 2016
312016
A comprehensive review of deep learning architectures for computer vision applications
A Sarraf, M Azhdari, S Sarraf
American Scientific Research Journal for Engineering, Technology, and …, 2021
292021
5g emerging technology and affected industries: Quick survey
S Sarraf
American Scientific Research Journal for Engineering, Technology, and …, 2019
272019
Analysis and detection of ddos attacks using machine learning techniques
S Sarraf
Am. Sci. Res. J. Eng. Technol. Sci 66 (1), 95-104, 2020
252020
Big data application in functional magnetic resonance imaging using apache spark
S Sarraf, M Ostadhashem
2016 Future technologies conference (FTC), 281-284, 2016
242016
ADVANCES IN FUNCTIONAL BRAIN IMAGING: A COMPREHENSIVE SURVEY FOR ENGINEERS AND PHYSICAL SCIENTISTS
S Sarraf, J Sun
International Journal of Advanced Research 4 (8), 640-660, 2016
242016
Functional brain imaging: A comprehensive survey
S Sarraf, J Sun
arXiv preprint arXiv:1602.02225, 2016
242016
The Fractal Nature and Functional Connectivity of Brain Function as Measured by BOLD MRI in Alzheimer’s Disease
MA Warsi
McMaster University, 2012
242012
Brain network extraction from probabilistic ICA using functional Magnetic Resonance Images and advanced template matching techniques
S Sarraf, C Saverino, H Ghaderi, J Anderson
Electrical and Computer Engineering (CCECE), 2014 IEEE 27th Canadian …, 2014
232014
Task-linked diurnal brain network reorganization in older adults: A graph theoretical approach
JAE Anderson, S Sarraf, T Amer, B Bellana, V Man, KL Campbell, ...
Journal of Cognitive Neuroscience 29 (3), 560-572, 2017
202017
Deep learning-based framework for Autism functional MRI image classification
X Yang, S Sarraf, N Zhang
Journal of the Arkansas Academy of Science 72 (1), 47-52, 2018
192018
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