Přehled

Title: Advanced methods for MRI image analysis to increase diagnostic yield
Study program: Biomedical Technology and Bioinformatics
Supervisor: Ing. Roman Jakubíček, Ph.D.

Topic description:

AI-assisted analysis of 3D MR data for accurate diagnosis is increasingly replacing traditional diagnostic methods, leading to an increase in imaging data and higher demands on expert analysis. This research focuses on the development and validation of deep learning-based complex tools for automated MR data processing and analysis. Key areas include registration, automatic segmentation of pathologies,
and characteristic analysis for diagnosis and prognosis. Current applications focus on MR breast, perfusion brain scans and cardiac examination with an emphasis on data preprocessing, parametric map and characteristics extraction and their clinical interpretation. The student will be a valid member of a BioImage_BUT research team that collaborates with leading national (FNUSA Brno, FNB Brno, VFN Prague) and international medical institutions (UMC Amsterdam, KCL London, DKFZ Germany, REUH Riga).

Your task:

  • developing complex AI-based tools for supported diagnosis
  • design and programming implementation of method of image processing
  • verification achieved results with clinical outcomes including statistical analysis
  • publishing your results on international conferences and in impacted journals
  • writing and submitting applications for junior research funding (PhD talent, …)

Requirements:

  • programming skills (recommended Python, Matlab, …)
  • knowledge and experience with 3D data processing and analysis
  • enthusiasm for science and pushing the boundaries of science
  • English for scientific field (writing, presenting, …)
  • creative and independent thinking

We offer:

  • membership of a growing and stable research team with a tradition at UBMI
  • work on real research projects in cooperation with clinical institutions
  • deepening knowledge in image processing and machine learning field while improving communication and presentation skills
  • professional and active supervision during doctoral study
  • flexible office hours, home-office, teambuildings

For more information about this topic please contact Roman Jakubíček – jakubicek@vut.cz

Relevant publications:
DOI: 10.21037/qims-23-1488
DOI: 10.4103/ijri.IJRI_130_20
DOI: 10.1007/s00330-022-08626-5
DOI: 10.1016/j.media.2018.07.008

How to apply:

Please apply and submit your motivation letter and CV via university website from April 1 to April 30, https://www.vut.cz/eprihlaska/cs/zadani/vybrat-obor/fakulta/5

Funding:
Funding is provided as a combination of part-time or full-time research projects and/or regular scholarships.

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