image processing

Detecting Cataract Using Smartphones

Author(s): Behnam Askarian, Peter Ho, Jo Woon Chong
Detecting Cataract Using Smartphones 150 150 IEEE Journal of Translational Engineering in Health and Medicine (JTEHM)

Objective: Cataract, which is the clouding of the crystalline lens, is the most prevalent eye disease accounting for 51% of all eye diseases in the U.S. Cataract is a progressive…

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High Precision Digitization of Paper-Based ECG Records: A Step Toward Machine Learning

High Precision Digitization of Paper-Based ECG Records: A Step Toward Machine Learning

Author(s): Mohammed Baydoun, Lise Safatly, Ossama K. Abou Hassan, Hassan Ghaziri, Ali El Hajj, Hussain Isma'eel
High Precision Digitization of Paper-Based ECG Records: A Step Toward Machine Learning 375 435 IEEE Journal of Translational Engineering in Health and Medicine (JTEHM)

      Early Access Note: Early Access articles are new content made available in advance of the final electronic or print versions and result from IEEE’s Preprint or Rapid Post processes.…

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Locally Linear Embedding and fMRI feature selection in psychiatric classification

Locally Linear Embedding and fMRI feature selection in psychiatric classification

Author(s): Gagan Sidhu
Locally Linear Embedding and fMRI feature selection in psychiatric classification 780 435 IEEE Journal of Translational Engineering in Health and Medicine (JTEHM)

Background: Functional magnetic resonance imaging (fMRI) provides non-invasive measures of neuronal activity using an endogenous Blood Oxygenation-Level Dependent (BOLD) contrast. This article introduces a nonlinear dimensionality reduction (Locally Linear Embedding)…

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Computer Vision Techniques for Transcatheter Intervention

Author(s): Feng Zhao, Xianghua Xie, Matthew Roach
Computer Vision Techniques for Transcatheter Intervention 780 275 IEEE Journal of Translational Engineering in Health and Medicine (JTEHM)

This paper provides a comprehensive review for researchers of computer vision techniques and methodologies in transcatheter intervention. Minimally invasive transcatheter technologies have demonstrated substantial promise for the diagnosis and the…

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Quantitative Assessment of Single-Image Super-Resolution in Myocardial Scar Imaging

Quantitative Assessment of Single-Image Super-Resolution in Myocardial Scar Imaging 540 275 IEEE Journal of Translational Engineering in Health and Medicine (JTEHM)

A novel, validated image fusion system that allows real-time integration of three-dimensional echocardiography and X-ray fluoroscopy for guidance of cardiac cacheterization. The system was validated in two stages: pre-clinical to…

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