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Research Publications and Outputs: Recent submissions

    • Gas permeability through swelling porous media: Insights from coarse-grained pore-scale simulations 

      Wu, Jian; Gan, Yixiang; Huang, Pengyu; Shen, Luming
      Published 2024-03-21
      Sorption-induced swelling can decrease porosity and permeability of the porous medium, affecting the long-term injectivity in rock matrix during CO2 geologic storage. This study employs an innovative coarse-grained model ...
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    • A Web-Based Medical Multimedia Visualisation Interface for Personal Health Records 

      de Ridder, Michael; Constantinescu, Liviu; Bi, Lei; Jung, Youn Hyun; Kumar, Ashnil; Kim, Jinman; Feng, David Dagan; Fulham, Michael
      Published 2013
      The healthcare industry has begun to utilise web-based systems and cloud computing infrastructure to develop an increasing array of online personal health record (PHR) systems. Although these systems provide the technical ...
      Open Access
      Article
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    • A systematic review on incentive-driven mHealth technology: As used in diabetes management 

      de Ridder, Michael; Kim, Jinman; Jing, Yan; Khadra, Mohamed; Nanan, Ralph
      Published 2016
      Introduction Mobile Health (mHealth) technologies have been shown to improve self-management of chronic diseases, such as diabetes. However, mHealth tools, such as Apps, often have low rates of retention, eroding their ...
      Open Access
      Article
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    • Visibility-driven PET-CT Visualisation with Region of Interest (ROI) Segmentation 

      Jung, Younhyun; Kim, Jinman; Eberl, Stefan; Fulham, Michael; Feng, David Dagan
      Published 2013
      Multi-modality positron emission tomography – computed tomography (PET-CT) visualises biological and physiological functions (from PET) as region of interests (ROIs) within a higher resolution anatomical reference frame ...
      Open Access
      Article
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    • A New Aggregation of DNN Sparse and Dense Labeling for Saliency Detection 

      Yan, Ke; Wang, Xiuying; Kim, Jinman; Feng, Dagan
      Published 2021
      As a fundamental requirement to many computer vision systems, saliency detection has experienced substantial progress in recent years based on deep neural networks (DNNs). Most DNN-based methods rely on either sparse or ...
      Open Access
      Article
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