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Sydney Digital Theses (University of Sydney Access only): Recent submissions

    • Towards Efficient and Robust Deep Learning for Medical Image Analysis 

      Weng, Ziqiao
      Published 2026
      Medical imaging underpins modern healthcare by enabling non-invasive visualization for diagnosis, detection, treatment planning, and intervention. With rapid advances in deep learning (DL), substantial progress has been ...
      USyd Access
      Thesis
      View
    • Quality of Surgical Care for Inflammatory Bowel Disease and Trends in Surgical Workload and Outcomes in the Biologic Era in Australia 

      Giddings, Hugh Lewis Henry
      Published 2026
      Australia has one of the highest incidences of inflammatory bowel disease (IBD) in the world. Currently nearly 180,000 Australians are living with IBD, and the prevalence is predicted to increase by over 250% by 2030. ...
      USyd Access
      Thesis
      View
    • Skin Tissue Engineering in Burns & Reconstructive Surgery: From Cells to Surgery and the Clinical Impact of Soft Tissue Engineering 

      Maitz, Anneke J.
      Published 2026
      Skin tissue engineering has advanced to address clinical challenges where tissue is lost, donor sites are limited, or healing is impaired. Although many engineered skin substitutes exist, their clinical use varies. This ...
      USyd Access
      Thesis
      View
    • Explaining the Effects of Systemic Therapy on Survival in Advanced Cancer 

      Subramaniam, Shalini
      Published 2026
      Explaining the effects of systemic therapy on survival to patients with advanced cancer is a central yet challenging aspect of cancer care, particularly with contemporary treatments such as immunotherapy. This thesis ...
      USyd Access
      Thesis
      View
    • Self-Supervised Intrinsic Representation Learning on Medical Images for Universal Foundation Models 

      Ma, Yang
      Published 2025
      Deep learning has advanced medical imaging, yet clinical adoption is limited by scarce annotations, weak interpretability, and poor generalization. A key limitation of existing methods is their purely data-driven nature, ...
      USyd Access
      Thesis
      View
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