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Saman Sarraf
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Cited by
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
3562016
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
3462016
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
2972016
Deep Learning-based Pipeline to Recognize Alzheimer′ s Disease using fMRI Data
S Sarraf, G Tofighi
Future Technologies Conference (FTC), 816-820, 2016
2462016
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
1072016
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
582019
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
442016
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
422016
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
252021
5g emerging technology and affected industries: Quick survey
S Sarraf
American Scientific Research Journal for Engineering, Technology, and …, 2019
252019
Big data application in functional magnetic resonance imaging using apache spark
S Sarraf, M Ostadhashem
2016 Future technologies conference (FTC), 281-284, 2016
252016
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
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
232023
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
The Fractal Nature and Functional Connectivity of Brain Function as Measured by BOLD MRI in Alzheimer¢s Disease
MA Warsi
McMaster University, 2012
232012
Functional brain imaging: A comprehensive survey
S Sarraf, J Sun
arXiv preprint arXiv:1602.02225, 2016
222016
Analysis and detection of ddos attacks using machine learning techniques
S Sarraf
Am. Sci. Res. J. Eng. Technol. Sci 66 (1), 95-104, 2020
212020
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
162018
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