• 53 Citations
20172019
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Fingerprint Dive into the research topics where Maxime W. Lafarge is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 3 Similar Profiles
Neural networks Engineering & Materials Science
Image analysis Engineering & Materials Science
Convolution Engineering & Materials Science
Tissue Engineering & Materials Science
Image registration Engineering & Materials Science
Pathology Engineering & Materials Science
Parameterization Engineering & Materials Science
Neural Networks Mathematics

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Research Output 2017 2019

  • 53 Citations
  • 6 Conference contribution
  • 3 Article
  • 1 Abstract

Learning domain-invariant representations of histological images

Lafarge, M. W., Pluim, J. P. W., Eppenhof, K. A. J. & Veta, M., 16 Jul 2019, In : Frontiers in Medicine. 6, 11 p., 162

Research output: Contribution to journalArticleAcademicpeer-review

Open Access
File

Progressively growing convolutional networks for end-to-end deformable image registration

Eppenhof, K., Lafarge, M. & Pluim, J., 15 Mar 2019, Medical Imaging 2019 Image Processing. Landman, B. A. & Angelini, E. D. (eds.). Bellingham: SPIE, 7 p. 109491C. (Proceedings of SPIE; vol. 10949)

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

Open Access
File
Image registration
Neural networks

Progressively trained convolutional neural networks for deformable image registration

Eppenhof, K., Lafarge, M., Veta, M. & Pluim, J., 9 Nov 2019, (Accepted/In press) In : IEEE Transactions on Medical Imaging.

Research output: Contribution to journalArticleAcademicpeer-review

8 Citations (Scopus)

Deformable image registration using convolutional neural networks

Eppenhof, K. A. J., Lafarge, M. W., Moeskops, P., Veta, M. & Pluim, J. P. W., 15 Mar 2018, Medical Imaging 2018 Image Processing. Bellingham: SPIE, 6 p. 105740S. (Proceedings of SPIE; vol. 10574)

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

Open Access
File
Image registration
Parameterization
Neural networks
Three-Dimensional Imaging
parameterization

Inferring a third spatial dimension from 2D histological images

Lafarge, M. W., Pluim, J. P. W., Eppenhof, K. A. J., Moeskops, P. & Veta, M., 10 Jan 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging, ISBI 2018. Piscataway: IEEE Computer Society, Vol. 2018-April, p. 586-589 4 p.

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

Tissue
Decomposition
Coloring Agents
Learning
Staining and Labeling