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Dr Afsah Saleem

Post Doctoral Research Fellow

Staff Member Details
Email: afsah.saleem@ecu.edu.au

Qualifications

  • Doctor of Philosophy, Edith Cowan University, 2025.
  • Master of Philosophy, Pakistan, 2016.
  • Master of Science, Pakistan, 2014.

Research Outputs

Journal Articles

  • Bondonno, N., Gebre, A., Parmenter, B., Hodgson, J., Blekkenhorst, L., Bondonno, C., Woodman, Kemp Jp, Webster J, Schultz C,, R., Smith, C., Saleem, A., Gilani, Z., Duncan, Hung J, Lim Wh, Raina P, Schousboe Jt, , E., Sim, M., Lewis, J. (2026). Associations between modifiable lifestyle risk factors and abdominal aortic calcification in the UK Biobank Imaging Study Nutrition, Metabolism and Cardiovascular Diseases. Nutrition Metabolism and Cardiovascular Diseases, -(-), -. https://doi.org/-.
  • Gebre, A., Mundt, M., Dent, Webster J, E., Saleem, A., Gilani, Z., Zhang, Y., Smith, C., Raina, Kemp J, Leslie W, Schousboe T, Harvey N, P., Lewis, J., Sim, M. (2026). Machine learning derived abdominal aortic calcification is associated with physical frailty in community-dwelling adults: the UK Biobank Imaging Study. GeroScience, -(-), -. https://doi.org/-.
  • Sim, M., Webster, J., Smith, C., Saleem, A., Gilani, Z., Toro Huamanchumo, C., Suter, D., Figtree, G., Lagendijk, AK., Duncan, EL., Schultz, C., Szulc, P., Hung, J., Lim, WH., Raina, P., Bondonno, N., Woodman, R., Hodgson, J., Kiel, DP., Prince , RL., Leslie, WD., Kamp, JP., Harvey, NC., Schousboe, JT., Lewis, J. (2026). Automated abdominal aortic calcification scores and atherosclerotic cardiovascular disease in the UK Biobank Imaging Study. Journal of the American College of Cardiology: Advances, 5(3), Article number 102570. https://doi.org/10.1016/j.jacadv.2025.102570.
  • T. Schousboe, J., Lewis, J., Langsetmo, L., Saleem, A., Gilani, Z., Ilyas, Z., Szulc, P., D. Leslie, W., E. Ensrud, K. (2026). Prevalent vertebral fracture (PVFx) and abdominal aortic calcification (AAC) independently predict incident atherosclerotic cardiovascular disease (ASCVD) events in older men. Bone, 209(N/A), 117894. https://doi.org/10.1016/j.bone.2026.117894.
  • Gebre, A., Smith, C., Webster, J., Saleem, A., Gilani, Z., Suter, D., Zhang , Y., Duque , G., Daly, RM., Duncan , EL., Hong, N., Raina , P., Kiel, DP., Leslie, WD., Schousboe, JT., Kemp , JP., Prince, RL., Harvey , NC., Lewis, J., Sim, M. (2026). Automated abdominal aortic calcification, muscle health and incident falls: the UK Biobank Imaging Study. Journal of Bone and Mineral Research, ...(..), .... https://doi.org/10.1093/jbmr/zjag084.

Conference Publications

  • Saleem, A., Lewis, J., Gilani, Z. (2026). A Hybrid Contrastive Ordinal Regression Method for Advancing Disease Severity Assessment in Imbalanced Medical Datasets. Proceedings of the 28th International Conference on Medical Image Computing and Computer Assisted Intervention (14-23). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-032-05169-1_2.

Journal Articles

  • Gebre, A., Sim, M., Gilani, Z., Saleem, A., Smith, C., Hans, D., Reid , S., Monchka , BA., Kimelman, D., Jozani , MJ., Schousboe, JT., Lewis, J., Leslie, W. (2025). Automated abdominal aortic calcification and trabecular bone score independently predict incident fracture during routine osteoporosis screening. Journal of Bone and Mineral Research, 2025(article in press), 1-82. https://doi.org/10.1093/jbmr/zjaf144.

Conference Publications

  • Maqsood, A., Saleem, A., Sim, M., Suter, D., Radavelli Bagatini, S., Hodgson, J., Richard L, P., Kun, Z., William, LD., Schousboe, JT., Lewis, J., Gilani, Z. (2025). From Pixels to Prognosis: A Multi-modal Attention-Based Framework for Visceral Adipose Tissue Estimation. Medical Image Computing and Computer Assisted Intervention – MICCAI 2025 (249–259). Springer Nature. https://doi.org/10.1007/978-3-032-05182-0_25.
  • Zhang, X., Saleem, A., Ilyas, Z., Suter, D., Nadeem, MA., Prince, R., Zhu, K., Lewis, J., Sim, M., Gilani, Z. (2025). Predicting Falls Through Muscle Weakness from a Single Whole Body Image: A Multimodal Contrastive Learning Framework. Applications of Medical Artificial Intelligence (85-94). Springer. https://doi.org/10.1007/978-3-031-82007-6_9.

Research Projects

  • Collaboration on abdominal aortic calcification study - KURE Korean AAC Study, Yonsei University, Grant, 2024 ‑ 2027, $15,107.
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