Projects per year
Personal profile
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.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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Collaborations and top research areas from the last five years
Projects
- 1 Active
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Spectralligence AI211009
Breeuwer, M. (Project Manager), Veta, M. (Project member), Amirrajab, S. (Project member) & van de Sande, D. M. J. (Project member)
1/11/21 → 31/10/24
Project: Third tier
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Automated cardiovascular MR myocardial scar quantification with unsupervised domain adaptation
Crawley, R., Amirrajab, S., Lustermans, D., Holtackers, R. J., Plein, S., Veta, M., Breeuwer, M., Chiribiri, A. & Scannell, C. M. (Corresponding author), 14 Aug 2024, In: European Radiology Experimental. 8, 1, 6 p., 93.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile11 Downloads (Pure) -
Results of the 2023 ISBI challenge to reduce GABA-edited MRS acquisition time
Berto, R. P., Bugler, H. (Corresponding author), Dias, G., Oliveira, M., Ueda, L., Dertkigil, S., Costa, P. D. P., Rittner, L., Merkofer, J. P., van de Sande, D. M. J., Amirrajab, S., Drenthen, G. S., Veta, M., Jansen, J. F. A., Breeuwer, M., van Sloun, R. J. G., Qayyum, A., Rodero, C., Niederer, S. & Souza, R. & 1 others, , Jul 2024, In: Magnetic Resonance Materials in Physics, Biology and Medicine. 37, 3, p. 449-463 15 p.Research output: Contribution to journal › Article › Academic › peer-review
2 Citations (Scopus) -
A Deep Learning Approach Utilizing Covariance Matrix Analysis for the ISBI Edited MRS Reconstruction Challenge
Merkofer, J. P., van de Sande, D. M. J., Amirrajab, S., Drenthen, G. S., Veta, M., Jansen, J. F. A., Breeuwer, M. & van Sloun, R. J. G., 5 Jun 2023, arXiv.org, p. 1-3, 3 p.Research output: Working paper › Preprint › Professional
Open AccessFile55 Downloads (Pure) -
Advancing GABA-edited MRS Research through a Reconstruction Challenge
Berto, R. P., Bugler, H., Dias, G., Oliveira, M., Ueda, L., Dertkigil, S., Costa, P. D. P., Rittner, L., Merkofer, J. P., van de Sande, D. M. J., Amirrajab, S., Drenthen, G. S., Veta, M., Jansen, J. F. A., Breeuwer, M., van Sloun, R. J. G., Qayyum, A., Rodero, C., Niederer, S. & Souza, R. & 1 others, , 22 Sept 2023, bioRxiv, 39 p.Research output: Working paper › Preprint › Academic
Open AccessFile38 Downloads (Pure) -
A Review of Machine Learning Applications for the Proton Magnetic Resonance Spectroscopy Workflow
van de Sande, D. M. J., Merkofer, J. P., Amirrajab, S., Veta, M., van Sloun, R. J. G., Versluis, M. J., Jansen, J. F. A., van den Brink, J. S. & Breeuwer, M., 16 May 2023, In: arXiv. 2023, 18 p., 2305.09621v1.Research output: Contribution to journal › Article › Academic
Open AccessFile232 Downloads (Pure)
Datasets
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MIDOG++: A Comprehensive Multi-Domain Dataset for Mitotic Figure Detection
Aubreville, M. (Creator), Wilm, F. (Creator), Stathonikos, N. (Creator), Breininger, K. (Creator), Donovan, T. (Creator), Jabari, S. (Creator), Veta, M. (Creator), Ammeling, J. (Creator), van Diest, P. J. (Creator), Klopfleisch, R. (Creator) & Bertram, C. (Creator), Figshare, 30 Jun 2023
DOI: 10.6084/m9.figshare.c.6615571, https://springernature.figshare.com/collections/MIDOG_A_Comprehensive_Multi-Domain_Dataset_for_Mitotic_Figure_Detection/6615571 and one more link, https://springernature.figshare.com/collections/MIDOG_A_Comprehensive_Multi-Domain_Dataset_for_Mitotic_Figure_Detection/6615571/1 (show fewer)
Dataset
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MIDOG++ database as JSON format
Aubreville, M. (Creator), Wilm, F. (Creator), Stathonikos, N. (Creator), Breininger, K. (Creator), Donovan, T. (Creator), Jabari, S. (Creator), Veta, M. (Creator), Ammeling, J. (Creator), van Diest, P. J. (Creator), Klopfleisch, R. (Creator) & Bertram, C. (Creator), Figshare, 30 Jun 2023
DOI: 10.6084/m9.figshare.23531121, https://springernature.figshare.com/articles/dataset/MIDOG_database_as_JSON_format/23531121 and one more link, https://springernature.figshare.com/articles/dataset/MIDOG_database_as_JSON_format/23531121/1 (show fewer)
Dataset
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MIDOG++ database in SlideRunner sqlite format
Aubreville, M. (Creator), Wilm, F. (Creator), Stathonikos, N. (Creator), Breininger, K. (Creator), Donovan, T. (Creator), Jabari, S. (Creator), Veta, M. (Creator), Ammeling, J. (Creator), van Diest, P. J. (Creator), Klopfleisch, R. (Creator) & Bertram, C. A. (Creator), Figshare, 30 Jun 2023
DOI: 10.6084/m9.figshare.23531118, https://springernature.figshare.com/articles/dataset/MIDOG_database_in_SlideRunner_sqlite_format/23531118 and one more link, https://springernature.figshare.com/articles/dataset/MIDOG_database_in_SlideRunner_sqlite_format/23531118/1 (show fewer)
Dataset
Courses
Press/Media
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-Eindhoven University of Technology : AI analysis for a healthy eye
Pluim, J. P. W., Veta, M., Heslinga, F. G. & Fitzgerald, B.
22/06/22
5 items of Media coverage
Press/Media: Expert Comment
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AI analysis for a healthy eye
Pluim, J. P. W., Veta, M. & Heslinga, F. G.
21/06/22
2 items of Media coverage
Press/Media: Expert Comment