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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Education
Date Institution name Country Title 2018 University of Adelaide Australia Bachelor of Health and Medical Sciences (Honours) 2013 - 2017 University of Adelaide Australia Bachelor of Health Sciences -
Research Interests
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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.
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.
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.
— Glaser, S., Maicas, G., Bedrikovetski, S., Sammour, T., & Carneiro, G. (n.d.). Semi-supervised Multi-domain Multi-task Training for Metastatic Colon
Lymph Node Diagnosis From Abdominal CT.
eHealth Innovation Grant 2019
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