Department of Computer Science

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  1. Published

    Automated segmentation of atherosclerotic histology based on pattern classification

    van Engelen, A., Niessen, W. J., Klein, S., Groen, H. C., van Gaalen, K., Verhagen, H. J., Wentzel, J. J., van der Lugt, A. & de Bruijne, Marleen, 2013, In: Journal of Pathology Informatics. 4, 7 p., 3.

    Research output: Contribution to journal › Journal article › Research › peer-review

  2. Accepted/In press

    Doorways Do Not Always Cause Forgetting: Studying the Effect of Locomotion Technique and Doorway Visualization in Virtual Reality

    van Gemert, Thomas, Kalaitzoglou, Ioannis, Chew, S. & Bergström, Joanna, 2024, (Accepted/In press) CHI '24: Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems. New York, NY, United States: Association for Computing Machinery

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-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 proceeding › Article in proceedings › Research › peer-review

  4. Published

    Automated brain-tissue segmentation by multi-feature SVM classification

    van Opbroek, A., van der Lijn, F. & de Bruijne, Marleen, 2013, The MICCAI Grand Challenge on MR Brain Image Segmentation (MRBrainS13). 8 p. (The MIDAS Journal).

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research

  5. Published

    Feature-space transformation improves supervised segmentation across scanners

    van Opbroek, A., Achterberg, H. C. & de Bruijne, Marleen, 2015, Machine learning meets medical imaging: First International Workshop, MLMMI 2015, Held in Conjunction with ICML 2015, Lille, France, July 11, 2015, Revised Selected Papers. Springer, p. 85-93 9 p. (Lecture notes in computer science, Vol. 9487).

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  6. 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 journal › Journal article › Research › peer-review

  7. 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 journal › Journal article › Research › peer-review

  8. 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 journal › Journal article › Research › peer-review

  9. Published

    Learning features for tissue classification with the classification restricted Boltzmann machine

    van Tulder, G. & de Bruijne, Marleen, 2014, Medical Computer Vision: Algorithms for Big Data: International Workshop, MCV 2014, Held in Conjunction with MICCAI 2014, Cambridge, MA, USA, September 18, 2014, Revised Selected Papers. Menze, B., Langs, G., Montillo, A., Kelm, M., Müller, H., Zhang, S., Cai, W. T. & Metaxas, D. (eds.). Springer, p. 47-58 12 p. (Lecture notes in computer science).

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  10. 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 proceeding › Article in proceedings › Research › peer-review

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