Author

Ghassem Tofighi

Toronto Metropolitan University

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Research Focus:differential expression· 2 Organism:human· 2 Assay:imaging· 2 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Approach:statistical model· 1 Research Focus:trajectory inference· 1

Frequent Co-Authors

Saman SarrafiD· 2 shared Alzheimer’s Disease Neuroimaging Initiative· 1 shared Danielle D. DeSouzaiD· 1 shared John A. E. AndersoniD· 1 shared

Activity by Year

2016-2017 · peak 1/yr

Co-Author Collaboration Network

4 top collaborators · 6 mutual co-author links

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2 shared papersBioinformatics

Saman SarrafORCID

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2 papers

Recent·Most cited

DeepAD: Alzheimer’s Disease Classification via Deep Convolutional Neural Networks using MRI and fMRI

Saman Sarraf, Danielle D. DeSouza, John A. E. Anderson, Ghassem Tofighi, Alzheimer’s Disease Neuroimaging Initiative

Caffe LeNet and GoogleNet trained on 2D slices from ADNI scans of adults over 75 report 98.84% to near-perfect accuracy, and 100% per subject for MRI after majority voting.

bioRxiv · Jan 14, 2017 · PreprintBioinformatics✦ In-depth digest

Deep Learning-based Pipeline to Recognize Alzheimer′s Disease using fMRI Data

Saman Sarraf, Ghassem Tofighi

This paper uses a convolutional neural network to classify Alzheimer's disease fMRI data from healthy controls with 96.85% accuracy.

2016 Future Technologies Conference (FTC) · Dec 1, 2016Peer-reviewedBioinformatics