Assistant Professor

Mitko Veta

image
Group / Unit
Medical Image Analysis
Department / Section
Biomedical Engineering
Building
Gemini zuid
Floor / room
2.109

Research Profile

Mitko Veta is an assistant professor at the TU/e research group Medical Image Analysis, department of Biomedical Engineering. His research concerns the design, implementation and evaluation of image analysis methods for histopathology images and digital slides. Currently his focus is on the development and application of deep learning methods for medical image analysis.  The research aims to develop automatic quantitative histopathology image analysis algorithms that will increase the reproducibility and accuracy of pathology reporting and reduce the workload of pathologists. This will lead to better treatment planning for the patients and reduction of healthcare costs.

Academic Background

MitkoVeta studied Electrical Engineering at the Ss. Cyril and Methodius University in Skopje (Macedonia) where he in 2009 received his Master's degree on Digital Signal Processing with a thesis on digital video classification. In 2010, he moved to the University Medical Center Utrecht (The Netherlands) to perform PhD research on the topic of automatic analysis of histopathology images. In 2014, he obtained his doctorate and started as a postdoctoral researcher at Eindhoven University of Technology (TU/e, the Netherlands). In 2016, he was appointed assistant professor with the TU/e research group Medical Image Analysis of the department of Biomedical Engineering.

Educational Activities

  • Team challenge in medical imaging
  • Bachelor final project Medical Image Analysis
  • Capita selecta in medical image analysis
  • Project Imaging - BIA
  • Medical image analysis

Ancillary Activities

No ancillary activities