activity
20162022
most citedAircraft Fuselage Defect Detection using Deep Neural Networks

40 citations · 54 across the 4 of their papers we have counts for

collaborators

6 papers

q-bio.NC2022★ 2 cited

Neural Correlates of Face Familiarity Perception

Evan Ehrenberg, Kleovoulos Leo Tsourides, Hossein Nejati +2

In the domain of face recognition, there exists a puzzling timing discrepancy between results from macaque neurophysiology on the one hand and human electrophysiology on the other.…

cs.CV2018

Fine-grained wound tissue analysis using deep neural network

Hossein Nejati, Hamed Alizadeh Ghazijahani, Milad Abdollahzadeh +4

Tissue assessment for chronic wounds is the basis of wound grading and selection of treatment approaches. While several image processing approaches have been proposed for automatic…

cs.CV2017★ 40 cited

Aircraft Fuselage Defect Detection using Deep Neural Networks

Touba Malekzadeh, Milad Abdollahzadeh, Hossein Nejati +1

To ensure flight safety of aircraft structures, it is necessary to have regular maintenance using visual and nondestructive inspection (NDI) methods. In this paper, we propose an a…

cs.CV2017★ 9 cited

Deep neural networks on graph signals for brain imaging analysis

Yiluan Guo, Hossein Nejati, Ngai-Man Cheung

Brain imaging data such as EEG or MEG are high-dimensional spatiotemporal data often degraded by complex, non-Gaussian noise. For reliable analysis of brain imaging data, it is imp…

cs.CV2016★ 3 cited

Simultaneous Low-rank Component and Graph Estimation for High-dimensional Graph Signals: Application to Brain Imaging

Rui Liu, Hossein Nejati, Seyed Hamid Safavi +1

We propose an algorithm to uncover the intrinsic low-rank component of a high-dimensional, graph-smooth and grossly-corrupted dataset, under the situations that the underlying grap…

cs.CV2016

Image-based Vehicle Analysis using Deep Neural Network: A Systematic Study

Yiren Zhou, Hossein Nejati, Thanh-Toan Do +2

We address the vehicle detection and classification problems using Deep Neural Networks (DNNs) approaches. Here we answer to questions that are specific to our application includin…