Mitko Veta
Associate Professor
Son en Breugel, North Brabant, Netherlands
Summary
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Senior🎓
Top SchoolMitko Veta is an Associate Professor at Eindhoven University of Technology with 11 years of experience specializing in computational pathology and medical imaging, focused on developing and validating deep learning methods for breast cancer histopathology. He leads a cross‑institutional team of PhD and MSc researchers and works closely with clinical partners to translate AI into workflow‑integrated tools that boost diagnostic accuracy, reproducibility, and efficiency. His career blends rigorous academic research—from a PhD at Utrecht University to postdoc and professorial roles—with practical challenge organization and education, including running international mitosis detection workshops. Mitko is committed to deployable AI that measurably reduces clinician workload and improves patient outcomes, and he brings a track record of cross‑sector collaboration to move methods from prototype to real‑world impact.
11 years of coding experience
12 years of employment as a software developer
Doctor of Philosophy (PhD), Medical Imaging, Doctor of Philosophy (PhD), Medical Imaging at Utrecht UniversityMaster of Science (MS), Digital Signal Processing, Master of Science (MS), Digital Signal Processing at Ss. Cyril and Methodius University in Skopje
Github Skills (9)
machine-learning10
imaging10
medical-image-analysis8
medical7
image-analysis7
python6
image-processing6
home-assistant3
mqtt1
Programming languages (4)
Github contributions (5)
mitkovetta/tepis
Jun 2015 - Aug 2016
Contributions:37 commits, 39 pushes, 8 branches in 1 year 2 months
tueimage/8dm50-machine-learning
Aug 2019 - Oct 2022
TU/e 8DM50 Machine Learning in Medical Imaging and Biology course materials.
Contributions:226 commits, 7 PRs, 214 pushes in 3 years 2 months
imagingmachine-learning
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