activity
20162020
most citedIrisNet: Deep Learning for Automatic and Real-time Tongue Contour Tracking in Ultrasound Video Data using Peripheral Vision

9 citations · 30 across the 7 of their papers we have counts for

collaborators

7 papers

cs.LG2020

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…

cs.CV2019★ 2 cited

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…

eess.IV2019★ 9 cited

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…

cs.LG2019★ 5 cited

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…

eess.IV2019★ 8 cited

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…

cs.CV2016★ 5 cited

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…