Marleen de Bruijne

Marleen de Bruijne

Professor


  1. Published

    Weighting training images by maximizing distribution similarity for supervised segmentation across scanners

    van Opbroek, A., Vernooij, M. W., Ikram, M. A. & de Bruijne, Marleen, 2015, In: Medical Image Analysis. 24, 1, p. 245-254 10 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  2. Published

    Transfer learning improves supervised image segmentation across imaging protocols

    van Opbroek, A., Ikram, M. A., Vernooij, M. W. & de Bruijne, Marleen, 2015, In: IEEE Transactions on Medical Imaging. 34, 5, p. 1018-1030 13 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  3. Published

    A transfer-learning approach to image segmentation across scanners by maximizing distribution similarity

    van Opbroek, A., Ikram, M. A., Vernooij, M. W. & de Bruijne, Marleen, 2013, Machine Learning in Medical Imaging: 4th International Workshop, MLMI 2013, held in conjunction with MICCAI 2013, Nagoya, Japan, September 22, 2013. Proceedings. Wu, G., Zhang, D., Shen, D., Yan, P., Suzuki, K. & Wang, F. (eds.). Springer, p. 49-56 8 p. (Lecture notes in computer science, Vol. 8184).

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  4. Published

    Supervised image segmentation across scanner protocols: a transfer learning approach

    van Opbroek, A., Ikram, M. A., Vernooij, M. W. & de Bruijne, Marleen, 2012, Machine Learning in Medical Imaging: Third International Workshop, MLMI 2012, Held in Conjunction with MICCAI 2012, Nice, France, October 1, 2012, Revised Selected Papers. Wang, F., Shen, D., Yan, P. & Suzuki, K. (eds.). Springer, p. 160-167 8 p. (Lecture notes in computer science, Vol. 7588).

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  5. Published

    Transfer learning by feature-space transformation: A method for Hippocampus segmentation across scanners

    van Opbroek, A., Achterberg, H. C., Vernooij, M. W., Arfan Ikram, M. & de Bruijne, Marleen, 2018, In: NeuroImage: Clinical. 20, p. 466-475 10 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  6. Published

    Integrating local voxel classification and global shape models for medical image segmentation

    van Rikxoort, E. M., de Bruijne, Marleen & van Ginneken, B., 2008, Medical Imaging 2008: Image Processing, Conference Proceedings. Reinhardt, J. M. & Pluim, J. P. W. (eds.). SPIE - International Society for Optical Engineering, p. Article 69144J 6 p. (Proceedings of SPIE; No. 6914).

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  7. Published

    Learning Cross-Modality Representations from Multi-Modal Images

    van Tulder, G. & de Bruijne, Marleen, 2019, In: IEEE Transactions on Medical Imaging. 38, 2, p. 638-648

    Research output: Contribution to journalJournal articleResearchpeer-review

  8. Published

    Unpaired, unsupervised domain adaptation assumes your domains are already similar

    van Tulder, G. & de Bruijne, Marleen, 2023, In: Medical Image Analysis. 87, 17 p., 102825.

    Research output: Contribution to journalJournal articleResearchpeer-review

  9. Published

    Why does synthesized data improve multi-sequence classification?

    van Tulder, G. & de Bruijne, Marleen, 2015, Medical image computing and computer assisted interventions - MICCAI 2015: 18th International Conference, Munich, Germany, October 5-9, 2015, Proceedings, Part I. Springer, p. 531-538 8 p. (Lecture notes in computer science, Vol. 9349).

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  10. Published

    Combining generative and discriminative representation learning for lung CT analysis with convolutional restricted Boltzmann machines

    van Tulder, G. & de Bruijne, Marleen, 2016, In: IEEE Transactions on Medical Imaging. 35, 5, p. 1262-1272 11 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

ID: 545222