Mitko Veta
Department
Group
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.
Recent Publications
-
Sina Amirrajab,Mitko Veta,Marcel Breeuwer,Cian M. Scannell
Optimized automated cardiac MR scar quantification with GAN-based data augmentation
Computer Methods and Programs in Biomedicine (2022) -
Laurens S. ter Maat,Isabella A.J. van Duin,Sjoerd G. Elias,Paul J. van Diest,Josien P.W. Pluim,Joost J.C. Verhoeff,Pim A. de Jong,Tim Leiner,Mitko Veta,Karijn P.M. Suijkerbuijk
Imaging to predict checkpoint inhibitor outcomes in cancer. A systematic review
European Journal of Cancer (2022) -
Suzanne C. Wetstein,Vincent M.T. de Jong,Nikolas Stathonikos,Mark Opdam,Gwen M.H.E. Dackus,Josien P.W. Pluim,Paul J. van Diest,Mitko Veta
Deep learning-based breast cancer grading and survival analysis on whole-slide histopathology images
Scientific Reports (2022) -
Marc B. Muijzer,Friso G. Heslinga,Floor Couwenberg,Herke Jan Noordmans,Abdelkarim Oahalou,Josien P.W. Pluim,Mitko Veta,Robert P.L. Wisse
Automatic evaluation of graft orientation during Descemet membrane endothelial keratoplasty using intraoperative OCT
Biomedical Optics Express (2022) -
Victor M. Campello,Polyxeni Gkontra,Cristian Izquierdo,Carlos Martin-Isla,Alireza Sojoudi,Peter M. Full,Klaus Maier-Hein,Yao Zhang,Zhiqiang He,Jun Ma
Multi-Centre, Multi-Vendor and Multi-Disease Cardiac Segmentation
IEEE Transactions on Medical Imaging (2021)
- Machine learning in medical imaging and biology
- Team challenge in medical imaging
- Project Imaging - BIA
- Medical image analysis
Ancillary Activities
No ancillary activities