Sergei Bedrikovetski

Sergei Bedrikovetski

Higher Degree by Research Candidate

Adelaide Medical School

Faculty of Health and Medical Sciences


My research is based in the area of Medical Image Analysis, Machine Learning and Artificial Intelligence, focusing primarily on the role of computer systems detecting metastatic lymph nodes on staging imaging for colorectal cancer.

My research is based in the area of Medical Image Analysis, Machine Learning and Artificial Intelligence, focusing primarily on the role of computer systems to detect metastatic lymph nodes on staging imaging for colorectal cancer. 

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  • Journals

    Year Citation
    2019 Bedrikovetski, S., Dudi-Venkata, N., Kroon, H., Liu, J., Andrews, J., Lewis, M., . . . Sammour, T. (2019). Systematic review of rectal stump management during and after emergency total colectomy for acute severe ulcerative colitis. ANZ Journal of Surgery.
    DOI
    2019 Dudi-Venkata, N., Kroon, H., Bedrikovetski, S., Moore, J., & Sammour, T. (2019). Systematic scoping review of enhanced recovery protocol recommendations targeting return of gastrointestinal function after colorectal surgery. ANZ Journal of Surgery, 7 pages.
    DOI
    2019 Kroon, H., Dudi-Venkata, N., Bedrikovetski, S., Thomas, M., Kelly, M., Aalbers, A., . . . Palmer, G. (2019). Palliative pelvic exenteration: A systematic review of patient-centered outcomes. European Journal of Surgical Oncology, 45(10), 1787-1795.
    DOI

eHealth Innovation Grant 2019 


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