Wonne Den Dooven

AI Intern at ML2Grow
  • Claim this Profile
Contact Information
us****@****om
(386) 825-5501
Location
Schilde, Flemish Region, Belgium, BE

Topline Score

Topline score feature will be out soon.

Bio

Generated by
Topline AI

You need to have a working account to view this content.
You need to have a working account to view this content.

Experience

    • Belgium
    • Information Technology & Services
    • 1 - 100 Employee
    • AI Intern
      • Feb 2023 - Present

    • Belgium
    • Higher Education
    • 700 & Above Employee
    • Master Thesis Student
      • Sep 2021 - Oct 2022

      Based on multiparametric magnetic resonance images, we try to automatically predict where prostate cancer is located and which patients are prone to cancer metastasis. This way, the time-consuming process of reading and evaluating images can be performed by a deep learning model, and invasive techniques can be avoided if they are not necessary. Based on multiparametric magnetic resonance images, we try to automatically predict where prostate cancer is located and which patients are prone to cancer metastasis. This way, the time-consuming process of reading and evaluating images can be performed by a deep learning model, and invasive techniques can be avoided if they are not necessary.

    • Belgium
    • Biotechnology Research
    • 1 - 100 Employee
    • Intern
      • Aug 2021 - Sep 2021

      Internship for the development of an automatic training system for locomotion of mice. A supporting device in the research of innate defensive behavior using vFUSi technology. Internship for the development of an automatic training system for locomotion of mice. A supporting device in the research of innate defensive behavior using vFUSi technology.

Education

  • KU Leuven
    Master, Artificial intelligence
    2022 - 2023
  • Ghent University
    Master of Engineering - MEng, Biomedical/Medical Engineering
    2020 - 2022
  • Ghent University
    Bachelor of Engineering - BE, Biomedical/Medical Engineering
    2017 - 2020

Community

You need to have a working account to view this content. Click here to join now