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About Me

I am a Senior Lecturer at La Trobe University. Before joining La Trobe, I was a Research Fellow at School of Computer Science, The University of Sydney (2016 ~ 2018). I received my PhD and MPhil degrees in Computer Science with specialization in Medical Image Computing from The University of Sydney, Australia in 2016 and 2013 under the supervision of Prof David Dagan Feng, A/Prof Xiuying Wang and Clinical Professor Michael Fulham. I also worked closely with Dr Jianlong Zhou from UTS in graph topology. I obtained my Bachelor of Engineering degree from Harbin Institute of Technology (China C9 University) in 2011.

My research area is in Biomedical Image Analysis, Machine Learning, Deep Learning, and Biomedical and Health Informatics. My current research mainly focuses on

  • Integration of Imaging with Non-Imaging Biomarkers
  • Segmentation in biomedical images
  • Cancer analysis in histopathology images
  • Graph theory and neural network
  • AI for precision oncology, early diagnosis and prognosis of disease and cancer, etc.

    I also work closely with industry partners, clinicians and radiologists from major hospitals in China and Australia to translate the developed medical technologies into clinical workflow and industry applications.

    If you are a self-motivated student with proficient programming skills and strong interests in the research directions, please send me your CV.



  • News


    Selected Publications

  • Jin Q, Zou C, Cui H, et al, "Multi-modality contrastive learning for sarcopenia screening from hip X-rays and clinical information", MICCAI 2023. [ paper & code]

  • Du M, Cui H*, et al "Learning from Deep Stereoscopic Attention for Simulator Sickness Prediction", IEEE TVCG 2023.

  • Jin Q, Cui H, et al "Semi-supervised histological image segmentation via hierarchical consistency enforcement", MICCAI 2022

  • Guan Y, Cui H, et al "Predicting Esophageal Fistula Risks Using a Multimodal Self-Attention Network", MICCAI 2021.

  • Cui H, Xuan P, et al "Co-Graph Attention Reasoning based Imaging and Clinical Features Integration for Lymph Node Metastasis Prediction", MICCAI 2021.

  • Jin Q, Cui H, et al, "Domain adaptation based self-correction model for COVID-19 infection segmentation in CT images", Expert Systems with Applications, 2021. [ paper & code]

  • Jin Q, Cui H, et al, "Free-form tumor synthesis in computed tomography images via richer generative adversarial network", Knowledge-Based Systems, 2021. [ paper & code]

  • Jin Q, Cui H, et al, "Cascade knowledge diffusion network for skin lesion diagnosis and segmentation", Applied Soft Computing, 2020. [ paper & code]

  • Cui H, Xu Y, et al, "Collaborative Learning of Clinical Attention for Radiotherapy-related Esophageal Fistula Prediction from CT", International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2020. (ERA Core A) [paper]

  • Cui H, Wang X, Zhou J, Gong G, Eberl S, Yin Y, Wang L, Feng D, and Fulham M, "A topo-graph model for indistinct target boundary definition from anatomical images", Computer Methods and Programs in Biomedicine, 2018. [paper]

  • Cui H, Wang X, Zhou J, Eberl S, Feng D, and Fulham M, "Improved segmentation accuracy for thoracic PET-CT in patients with NSCLC using a multi-graph model (MGM)", Journal of Nuclear Medicine, 2015. Best paper award. [paper]

  • Cui H, Wang X, Zhou J, Eberl S, Feng D, and Fulham M, "Topology polymorphism graph for lung tumor segmentation in PET-CT images", Physics in Medicine and Biology, 2015. . [paper]


  • Research Awards

    Our research received a list of international research awards including:

  • Chinese government award for outstanding students abroad, by China Scholarship Council , 2015;
  • International best absctract award for Australia, by Society of Nuclear Medicine and Molecular Imaging (SNMMI), 2015
  • Two best oral presentation awards at SNMMI 2015, by Education and Research Foundation and The PET Centre of Excellence of SNMMI.


  • Teaching


    Scientific Community Service

    Conference Services

  • Senior Programme Committe: CIKM 2024
  • Programme Committe: DICTA 2017, CGI 2023, CASA 2024
  • Reviewer: ICME 2024, MICCAI (2020, 2021, 2022, 2023, 2024)

    Journal Reviewer:

  • Review Editor: Frontiers in Bioinformatics - Integrative Bioinformatics
  • Pattern Recognition
  • IEEE Journal Of Biomedical & Health Informatics
  • IEEE Transactions on Medical Imaging (TMI)
  • IEEE Transactions on Biomedical Engineering (TBME)
  • Computerized Medical Imaging and Graphics
  • Computer Methods and Programs in Biomedicine
  • Physics in Medicine & Biology
  • Computers in Biology and Medicine
  • Medical Physics
  • Radiation Oncology
  • International Journal of Computer Assisted Radiology and Surgery

    Invited Talks

  • "Improved segmentation accuracy for thoracic PET-CT in patients with NSCLC using a multi-graph model", The Australian and New Zealand Society of Nuclear Medicine (ANZSNM) meeting, Rotorua, New Zealand. April 2016

  • Last updated date: March 2024.