Dr. Maytham Nabeel Meqdad, the coordinator of the Intelligent Medical Systems Department at the College of Sciences, University of Al-Mustaqbal, has published the research titled "Leveraging Bone Age Assessment via a Novel Joint Decomposition Teacher–Student Learning Paradigm from X-ray Images." Date: 24/06/2024 | Views: 934

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New Scientific Research from University of Al-Mustaqbal Featured in Scopus and Clarivate Repositories
In a new scientific contribution, a recent research paper by Assistant Professor Dr. Maytham Nabeel Meqdad Ajjam from the University of Al-Mustaqbal, College of Science, Department of Intelligent Medical Systems, has been published in collaboration with a research team from Al-Razi University, Islamic Republic of Iran. The paper was published by Taylor & Francis in the journal:

Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization

The journal is based in the United Kingdom and is classified as Q2 within the Scopus database (SJR 0.367) with a CiteScore of 2.9 and an Impact Factor of 1.6.

The research aims to develop artificial intelligence algorithms for determining the bone age of humans (including the bones of the five fingers and the wrist) using X-ray imaging.

Title and Link to the Research:
Leveraging bone age assessment via a novel joint decomposition teacher–student learning paradigm from X-ray images

https://www.tandfonline.com/doi/full/10.1080/21681163.2024.2360122