| 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 | 336 | 2016 |
| Classification of alzheimer's disease using fmri data and deep learning convolutional neural networks S Sarraf, G Tofighi arXiv preprint arXiv:1603.08631, 2016 | 289 | 2016 |
| Deep learning-based pipeline to recognize Alzheimer's disease using fMRI data S Sarraf, G Tofighi 2016 future technologies conference (FTC), 816-820, 2016 | 242 | 2016 |
| Classification of Alzheimer's disease structural MRI data by deep learning convolutional neural networks S Sarraf, G Tofighi arXiv preprint arXiv:1607.06583, 2016 | 103 | 2016 |
| Rapid hand posture recognition using adaptive histogram template of skin and hand edge contour G Tofighi, SA Monadjemi, N Ghasem-Aghaee 2010 6th Iranian Conference on Machine Vision and Image Processing, 1-5, 2010 | 33 | 2010 |
| Engagement detection in meetings M Frank, G Tofighi, H Gu, R Fruchter arXiv preprint arXiv:1608.08711, 2016 | 28 | 2016 |
| 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, 0 | 26 | |
| Deepad: Alzheimer’s disease classification via deep convolutional neural networks using mri and fmri. bioRxiv, p 070441 S Sarraf, G Tofighi URL https://www. biorxiv. org/content/early/2017/01/14/070441 (Jan. 2017), 2016 | 22 | 2016 |
| for the Alzheimer’s Disease Neuroimaging Initiative DeepAD: Alzheimer’s disease classification via deep convolutional neural networks using MRI and fMRI S Sarraf, G Tofighi Bioinformatics, 2016 | 21* | 2016 |
| 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 | 15 | |
| Method and system of group interaction by user state detection M Frank, G Tofighi, N Nayak, H Gu US Patent 9,800,834, 2017 | 14 | 2017 |
| Vision-based engagement detection in virtual reality G Tofighi, H Gu, K Raahemifar 2016 Digital Media Industry & Academic Forum (DMIAF), 202-206, 2016 | 11 | 2016 |
| Hand posture recognition using K-NN and Support Vector Machine classifiers evaluated on our proposed HandReader dataset G Tofighi, AN Venetsanopoulos, K Raahemifar, S Beheshti, ... Digital Signal Processing (DSP), 2013 18th International Conference on, 1-5, 2013 | 11 | 2013 |
| DeepAD: Alzheimer’s disease classification via deep convolutional neural networks using MRI and fMRI. bioRxiv 2016 S Sarraf, DD DeSouza, J Anderson, G Tofighi Google Scholar][CrossRef][Green Version], 0 | 11 | |
| Detecting zones and threat on 3d body in security airports using deep learning machine AAR Guimaraes, G Tofighi arXiv preprint arXiv:1802.00565, 2018 | 10 | 2018 |
| Hand pointing detection using live histogram template of forehead skin G Tofighi, NA Afarin, K Raahemifar, AN Venetsanopoulos 2014 19th International Conference on Digital Signal Processing, 383-388, 2014 | 10 | 2014 |
| Unconstrained Facial Recognition using Supervised Deep Learning on Video H Kulkarni, G Tofighi no. May, 2018 | 6 | 2018 |
| Classification of Alzheimer’s Disease Structural MRI Data by Deep Learning Convolutional Neural Networks. 8–12 S Sarraf, G Tofighi | 6 | 2016 |
| System and method of real-time interactive operation of user interface NM Nayak, G Tofighi, H Gu US Patent 9,703,387, 2017 | 5 | 2017 |
| Generating simulation-based contacts matrices for disease transmission modelling at special settings MM Najafabadi, A Asgary, M Tofighi, G Tofighi arXiv preprint arXiv:2101.10224, 2021 | 4 | 2021 |
Saman SarrafStanford UniversityVerified email at stanford.edu
