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Personal profile

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There is information in negative results - not only of algorithms, but also unsuccessful papers, grants or attempts at work-life balance. We could all learn from sharing such failures with each other.

Research profile

Veronika Cheplygina is an assistant professor at the research group Medical Image Analysis of the department of Biomedical Engineering at Eindhoven University of Technology.  She works on machine learning algorithms for medical image analysis, such as in detecting the chronic lung disease COPD in chest computed tomography scans. Her research also concerns more general aspects of machine learning, such as multiple instance learning, transfer learning, learning with similarities and learning from crowdsourced labels.

Academic background

Veronika Cheplygina studied Media & Knowledge Engineering at Delft University of Technology, where she obtained her MSc in 2010. She then started PhD research at the Pattern Recognition Laboratory of the same university and obtained her doctorate in 2015 with her thesis "Dissimilarity-Based Multiple Instance Learning". In 2013, she was a Visiting Researcher at the Machine Learning and Computational Biology group at MPI Intelligent Systems, Tübingen, Germany. In 2015 and 2016, she was a postdoctoral researcher at the Biomedical Imaging Group Rotterdam (The Netherlands, part of the Erasmus Medical Center). In 2017, she was appointed assistant professor at the Medical Image Analysis group of Eindhoven University of Technology (TU/e, The Netherlands).

Fingerprint Fingerprint is based on mining the text of the person's scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

Pulmonary diseases Engineering & Materials Science
Labels Engineering & Materials Science
Medical imaging Engineering & Materials Science
Learning algorithms Engineering & Materials Science
Supervised learning Engineering & Materials Science
Tomography Engineering & Materials Science
Computerized tomography Engineering & Materials Science
Image analysis Engineering & Materials Science

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 2014 2019

A survey of crowdsourcing in medical image analysis

Ørting, S., Doyle, A., Hirth, M., van Hilten, A., Inel, O., Madan, C. R., Mavridis, P., Spiers, H. & Cheplygina, V., 25 Feb 2019, In : arXiv. 12 p., 1902.09159

Research output: Contribution to journalArticleAcademic

Open Access
File
Image analysis
Astrophysics
Medical imaging
Metadata
Learning algorithms

Not-so-supervised: a survey of semi-supervised, multi-instance, and transfer learning in medical image analysis

Cheplygina, V., de Bruijne, M. & Pluim, J. P. W., 29 Mar 2019, In : Medical Image Analysis. 54, p. 280-296 17 p.

Research output: Contribution to journalArticleAcademicpeer-review

Medical imaging
Diagnostic Imaging
Image analysis
Learning algorithms
Learning systems

Automatic emphysema detection using weakly labeled HRCT lung images

Pena, I. P., Cheplygina, V., Paschaloudi, S., Vuust, M., Carl, J., Weinreich, U. M., Ostergaard, L. R. & de Bruijne, M., 15 Oct 2018, In : PLoS ONE. 13, 10, 17 p., e0205397

Research output: Contribution to journalArticleAcademicpeer-review

Open Access
File

Crowd disagreement of medical images is informative

Cheplygina, V. & Pluim, J. P. W., 21 Jun 2018, In : arXiv. 2018, 8 p., 1806.08174

Research output: Contribution to journalArticleAcademic

Open Access
File
Labels
Image analysis
Skin
Classifiers

Feature learning based on visual similarity triplets in medical image analysis: A case study of emphysema in chest CT scans

Ørting, S. N., Petersen, J., Cheplygina, V., Thomsen, L. H., Wille, M. M. W. & Bruijne, M. D., 19 Jun 2018, In : arXiv. 2018, 10 p., 1806.07131

Research output: Contribution to journalArticleAcademic

Open Access
File
Computerized tomography
Image analysis
Neural networks
Pathology

Courses

Medical image analysis

1/09/13 → …

Course

Press / Media

Student theses

A computational biology framework: a data analysis tool to support biomedical engineers in their research

Author: Beishuizen, T., 29 Nov 2018

Supervisor: Bosnacki, D. (Supervisor 1), Cheplygina, V. (Supervisor 2), Hilbers, P. (Supervisor 2), Fletcher, G. (Supervisor 2) & Vanschoren, J. (Supervisor 2)

Student thesis: Master

Mapping the homunculus in sensorimotor cortex using fMRI

Author: Bakker, C., 28 Sep 2017

Supervisor: Pluim, J. (Supervisor 1), Cheplygina, V. (Supervisor 2), Markvoort, A. (Supervisor 2) & Schellekens, W. (External person) (External coach)

Student thesis: Master

Re-referencing methods for high-density electrocorticographic signals: evaluating alternatives of common average re-referencing

Author: Pilmeyer, J., 29 Nov 2018

Supervisor: Pluim, J. (Supervisor 1), Cheplygina, V. (Supervisor 2), Eduati, F. (Supervisor 2), Freudenburg, Z. (External person) (External coach) & Branco, M. (External person) (External coach)

Student thesis: Master