Saman Sarraf
Saman Sarraf
Sr. Machine Learning Scientist
Verified email at ieee.org - Homepage
Title
Cited by
Cited by
Year
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
1532016
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
1302016
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
1012016
Deep Learning-based Pipeline to Recognize Alzheimer′ s Disease using fMRI Data
S Sarraf, G Tofighi
Future Technologies Conference (FTC), 816-820, 2016
882016
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
252016
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
252016
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
202016
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
202014
Deepad: Alzheimer’s disease classification via deep convolutional neural networks using MRI and fMRI. bioRxiv p 070441
S Sarraf, G Tofighi
142016
Functional brain imaging: A comprehensive survey
S Sarraf, J Sun
arXiv preprint arXiv:1602.02225, 2016
132016
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
122016
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
112017
Big data application in functional magnetic resonance imaging using apache spark
S Sarraf, M Ostadhashem
2016 Future Technologies Conference (FTC), 281-284, 2016
112016
A hierarchy of cognitive brain networks revealed by multivariate performance metrics
SC Strother, S Sarraf, C Grady
2014 48th Asilomar Conference on Signals, Systems and Computers, 603-607, 2014
102014
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
92019
The Fractal Nature and Functional Connectivity of Brain Function as Measured by BOLD MRI in Alzheimer’s Disease
MA Warsi
McMaster University, 2012
92012
Classification of Alzheimer’s disease using fMRI data and deep learning convolutional neural networks. 2016
S Sarraf, G Tofighi
arXiv preprint arXiv:1603.08631, 0
9
5g emerging technology and affected industries: Quick survey
S Sarraf
American Scientific Research Journal for Engineering, Technology, and …, 2019
82019
Hair color classification in face recognition using machine learning algorithms
S Sarraf
American Scientific Research Journal for Engineering, Technology, and …, 2016
72016
Mathematical modeling for predicting betamethasone profile and burst release from in situ forming systems based on plga
S Sarraf, E Marzbanrad, H Mobedi
2014 IEEE 27th Canadian Conference on Electrical and Computer Engineering …, 2014
72014
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