• 1241 Citations
20112020

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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.

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Research Output

Deep learning assessment of breast terminal duct lobular unit involution: towards automated prediction of breast cancer risk

Wetstein, S. C., Onken, A. M., Luffman, C., Baker, G. M., Pyle, M. E., Kensler, K. H., Liu, Y., Bakker, B., Vlutters, R., van Leeuwen, M. B., Collins, L. C., Schnitt, S. J., Pluim, J. P. W., Tamimi, R. M., Heng, Y. J. & Veta, M., 15 Apr 2020, In : PLoS ONE. 15, 4, 16 p., e0231653.

Research output: Contribution to journalArticleAcademicpeer-review

Open Access
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  • 3 Downloads (Pure)

    Fast contour propagation for MR-guided prostate radiotherapy using CNNs

    Eppenhof, K. A. J., Maspero, M., Savenije, M. H. F., de Boer, J. C. J., van der Voort van Zyp, J. R. N., Raaymakers, B. W., Raaijmakers, A., Veta, M., Pluim, J. P. W. & van den Berg, C. A. T., 15 Jan 2020, (Accepted/In press).

    Research output: Contribution to conferenceAbstract

    Fast contour propagation for MR‐guided prostate radiotherapy using convolutional neural networks

    Eppenhof, K. A. J., Maspero, M., Savenije, M. H. F., de Boer, J. C. J., van der Voort van Zyp, J. R. N., Raaymakers, B. W., Raaijmakers, A., Veta, M., van den Berg, C. A. T. & Pluim, J. P. W., 1 Mar 2020, In : Medical Physics. 47, 3, p. 1238-1248 11 p.

    Research output: Contribution to journalArticleAcademicpeer-review

    Open Access
    File
  • 2 Citations (Scopus)
    16 Downloads (Pure)

    Progressively trained convolutional neural networks for deformable image registration

    Eppenhof, K., Lafarge, M., Veta, M. & Pluim, J., 7 May 2020, In : IEEE Transactions on Medical Imaging. 39, 5, p. 1594-1604 11 p., 8902170.

    Research output: Contribution to journalArticleAcademicpeer-review

    Open Access
    File
  • 3 Downloads (Pure)

    Approximation of a pipeline of unsupervised retina image analysis methods with a CNN

    Heslinga, F., Pluim, J., Dasht Bozorg, B., Berendschot, T., Houben, A. J. H. M., Henry, R. M. A. & Veta, M., 1 Mar 2019, Image Processing: SPIE Medical Imaging, 2019, San Diego, California, United States. Angelini, E. D. & Landman, B. A. (eds.). Bellingham: SPIE, 7 p. 109491N. (Proceedings of SPIE; vol. 10949).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    Open Access
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  • 1 Citation (Scopus)
    37 Downloads (Pure)

    Courses

    Medical image analysis

    1/09/13 → …

    Course

    Project Imaging - BIA

    1/09/14 → …

    Course

    Student theses

    Canonical correlation analysis on microbial and metabolite data of individuals with metabolic syndrome

    Author: van der Stam, J., 19 Jan 2019

    Supervisor: Hilbers, P. (Supervisor 1), van Riel, N. (Supervisor 2), Veta, M. (Supervisor 2), Levin, E. (External person) (External coach) & Nieuwdorp, M. (External person) (External coach)

    Student thesis: Master

    Causal candidate genes identification for familial hypercholesterolemia family based on whole-genome sequencing

    Author: Wang, Q., 31 Aug 2017

    Supervisor: Hilbers, P. (Supervisor 1), van Riel, N. (Supervisor 2), Hovingh, K. (External person) (External coach), Bosnacki, D. (Supervisor 2) & Veta, M. (Supervisor 2)

    Student thesis: Master

    Content based CT retrieval for pulmonary nodules: deep metric learning based feature extraction

    Author: Aerts, T., 28 Feb 2019

    Supervisor: Menkovski, V. (Supervisor 1), Holenderski, M. (Supervisor 2) & Veta, M. (Supervisor 2)

    Student thesis: Master

    File

    CycleGAN for coronay vessel segmentation

    Author: van den Bosch, P., 29 Aug 2019

    Supervisor: Pluim, J. (Supervisor 1), Bovendeerd, P. (Supervisor 2), Veta, M. (Supervisor 2) & Oliván-Bescós, J. (External person) (External coach)

    Student thesis: Master

    Deep learning approaches for prostate cancer detection and grading in Bi-parametric MRI

    Author: de Vente, C., 29 Aug 2019

    Supervisor: Veta, M. (Supervisor 1), Vos, P. (External person) (External coach), van Riel, N. (Supervisor 2) & Pluim, J. (Supervisor 2)

    Student thesis: Master