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Afsah Saleem

Overview of thesis

My PhD research project focuses on the early detection of Cardiovascular Diseases (CVDs) through the identification of Abdominal Aortic Calcification (AAC), which is a known early indicator of CVDs. While AAC is traditionally observed in high-dose X-rays and CT scans, this research aims to leverage low-dose Dual-energy X-ray Absorptiometry (DXA) scans, which are commonly used to monitor osteoporosis in older patients, for the same purpose. The project addresses the challenges of accurately quantifying AAC in DXA scans due to image artifacts and class variations by developing a robust machine learning framework. Since these scans are commonly taken in several clinical scenarios, this technology may be a novel and opportunistic approach for cardiovascular disease detection and disease monitoring in clinical practice settings.

Qualifications

Phd, Edith Cowan University, Joondalup (2021-ongoing)

Research

Research Interests

  • Computer vision, machine learning, medical imging, automated diagnosis

Past Teaching

  • July 2023 – Dec 2023: Casual lab tutor, Edith Cowan University

Scholarships and Awards

  • Vice-chancellor Research fellow ship for Phd program

Supervisors

  • Dr. Syed Zulqarnain Gilani, Edith Cowan university
  • Prof. David Suter, Edith Cowan University
  • Associate Prof. Dr. Joshua R. Lewis, Edith Cowan University
  • Dr. Ghulam Mubashar  Hassan, University of Western Australia
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