9 citations · 30 across the 10 of their papers we have counts for
10 papers
MKOR: Momentum-Enabled Kronecker-Factor-Based Optimizer Using Rank-1 Updates
Mohammad Mozaffari, Sikan Li, Zhao Zhang +1
This work proposes a Momentum-Enabled Kronecker-Factor-Based Optimizer Using Rank-1 updates, called MKOR, that improves the training time and convergence properties of deep neural…
Spectral unmixing of Raman microscopic images of single human cells using Independent Component Analysis
M. Hamed Mozaffari, Li-Lin Tay
Application of independent component analysis (ICA) as an unmixing and image clustering technique for high spatial resolution Raman maps is reported. A hyperspectral map of a fixed…
PS8-Net: A Deep Convolutional Neural Network to Predict the Eight-State Protein Secondary Structure
Md Aminur Rab Ratul, Maryam Tavakol Elahi, M. Hamed Mozaffari +1
Protein secondary structure is crucial to creating an information bridge between the primary and tertiary (3D) structures. Precise prediction of eight-state protein secondary struc…
Deep Learning for Automatic Tracking of Tongue Surface in Real-time Ultrasound Videos, Landmarks instead of Contours
M. Hamed Mozaffari, Won-Sook Lee
One usage of medical ultrasound imaging is to visualize and characterize human tongue shape and motion during a real-time speech to study healthy or impaired speech production. Due…
Real-time Ultrasound-enhanced Multimodal Imaging of Tongue using 3D Printable Stabilizer System: A Deep Learning Approach
M. Hamed Mozaffari, Won-Sook Lee
Despite renewed awareness of the importance of articulation, it remains a challenge for instructors to handle the pronunciation needs of language learners. There are relatively sca…
IrisNet: Deep Learning for Automatic and Real-time Tongue Contour Tracking in Ultrasound Video Data using Peripheral Vision
M. Hamed Mozaffari, Md. Aminur Rab Ratul, Won-Sook Lee
The progress of deep convolutional neural networks has been successfully exploited in various real-time computer vision tasks such as image classification and segmentation. Owing t…
Transfer Learning for Ultrasound Tongue Contour Extraction with Different Domains
M. Hamed Mozaffari, Won-Sook Lee
Medical ultrasound technology is widely used in routine clinical applications such as disease diagnosis and treatment as well as other applications like real-time monitoring of hum…
BowNet: Dilated Convolution Neural Network for Ultrasound Tongue Contour Extraction
M. Hamed Mozaffari, Won-Sook Lee
Ultrasound imaging is safe, relatively affordable, and capable of real-time performance. One application of this technology is to visualize and to characterize human tongue shape a…
3D Ultrasound image segmentation: A Survey
Mohammad Hamed Mozaffari, WonSook Lee
Three-dimensional Ultrasound image segmentation methods are surveyed in this paper. The focus of this report is to investigate applications of these techniques and a review of the…
Multilevel Thresholding Segmentation of T2 weighted Brain MRI images using Convergent Heterogeneous Particle Swarm Optimization
Mohammad Hamed Mozaffari, Won-Sook Lee
This paper proposes a new image thresholding segmentation approach using the heuristic method, Convergent Heterogeneous Particle Swarm Optimization algorithm. The proposed algorith…