Data Denoising and Resolution Enhancement for Medical Imaging

  • samir, Brahim Belhaouari (Lead Principal Investigator)
  • Al-Ani, Mohammed (Undergraduate Student)
  • Haddad, Selina (Undergraduate Student)

Project: Applied Research

Project Details

Abstract

By employing deep learning techniques and collaborating with industry in Qatar (Hamad Medical Corporation), this research aims to enhance the quality of medical imaging. The aim would be to improve diagnostic accuracy and visualization quality in medical imaging applications, ultimately benefiting patient care in Qatar. The intellectual merit lies in its integration of cutting-edge technology to surpass traditional imaging methods, while its potential impact includes enhancing healthcare outcomes and advancing research culture among students in Qatar.

Submitting Institute Name

Hamad Bin Khalifa University (HBKU)
Sponsor's Award NumberUREP31-274-2-082
Proposal IDEX-QNRF-UREP-14
StatusActive
Effective start/end date15/01/2515/01/26

Primary Theme

  • Artificial Intelligence

Primary Subtheme

  • AI - Healthcare

Secondary Theme

  • Artificial Intelligence

Secondary Subtheme

  • AI - Healthcare

Keywords

  • Deep Learning
  • Medical Imaging
  • Convolutional Neural Networks

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