Department of Computer Science

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  1. Published

    On infectious intestinal disease surveillance using social media content

    Zou, B., Lampos, V., Gorton, R. & Cox, Ingemar Johansson, 2016, DH '16: Proceedings of the 2016 Digital Health Conference. Association for Computing Machinery, p. 157-161 5 p.

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

  2. Published

    Simultaneous registration and bilateral differential bias correction in brain MRI

    Zou, B., Pai, A. S. U., Sørensen, L. & Nielsen, Mads, 2014, Intelligent Imaging: Linking MR Acquisition and Processing.

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

  3. Published

    Transfer Learning for Unsupervised Influenza-like Illness Models from Online Search Data

    Zou, B., Lampos, V. & Cox, Ingemar Johansson, 2019, WWW '19: The World Wide Web Conference. Association for Computing Machinery, p. 2505-2516

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

  4. Published

    ClouDiA: a deployment advisor for public clouds

    Zou, T., Le Bras, R., Vaz Salles, M. A., Demers, A. & Gehrke, J., 2015, In: V L D B Journal. 21 p.

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

  5. Published

    Discourse-aware rumour stance classification in social media using sequential classifiers

    Zubiaga, A., Kochkina, E., Liakata, M., Procter, R., Lukasik, M., Bontcheva, K., Cohn, T. & Augenstein, Isabelle, Mar 2018, In: Information Processing & Management. 54, 2, p. 273-290

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

  6. Published

    Spinal image processing method, involves segmenting image of two vertebrae to obtain data representative of shape and size of vertebrae, and comparing shape and size with predicted unfractured shape and size of vertebrae

    de Bruijne, Marleen, Lund, M., Nielsen, Mads & Pettersen, P., 2006, IPC No. G06T-007/00, Patent No. WO2006087190-A1, 24 Aug 2006, Priority date 16 Feb 2005, Priority No. GB003236

    Research output: Patent

  7. Published

    An implicit characterization of the polynomial-time decidable sets by cons-free rewriting

    de Carvalho, D. B. & Simonsen, Jakob Grue, 2014, Rewriting and typed lambda calculi: Joint International Conference, RTA-TLCA 2014, Held as Part of the Vienna Summer of Logic, VSL 2014, Vienna, Austria, July 14-17, 2014. Proceedings. Dowek, G. (ed.). Springer Science+Business Media, p. 179-193 15 p. (Lecture notes in computer science, Vol. 8560).

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

  8. Published

    MIQModel: predictive model for mobile internet

    de Masi, A. & Wac, Katarzyna, Apr 2016. 1 p.

    Research output: Contribution to conference › Poster › Research

  9. Published

    Automated measurement of diagnostic angles for hip dysplasia

    de Raedt, S., Mechlenburg, I. B., Stilling, M., Mikkelsen, L. R., Søballe, K. & de Bruijne, Marleen, 2013, Medical Imaging 2013: Computer-Aided Diagnosis. Novak, C. L. & Aylward, S. (eds.). SPIE - International Society for Optical Engineering, 10 p. 867009. (Proceedings of S P I E - International Society for Optical Engineering, Vol. 8670).

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

  10. Published

    Human accuracy in mobile data collection

    van Berkel, N., Goncalves, J., Wac, Katarzyna, Hosio, S. & Cox, A. L., 2020, In: International Journal of Human Computer Studies. 137, 4 p., 102396.

    Research output: Contribution to journal › Editorial › Research › peer-review

  11. Published

    Three-dimensional carotid ultrasound plaque texture predicts vascular events

    van Engelen, A., Wannarong, T., Parraga, G., Niessen, W. J., Fenster, A., Spence, J. D. & de Bruijne, Marleen, 2014, In: Stroke. 45, p. 2695-2701 7 p.

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

  12. Published

    Atherosclerotic plaque component segmentation in combined carotid MRI and CTA data incorporating class label uncertainty

    van Engelen, A., Niessen, W. J., Klein, S., Groen, H. C., Verhagen, H. J. M., Wentzel, J. J., van der Lugt, A. & de Bruijne, Marleen, 2014, In: PLoS ONE. 9, 4, 14 p., e94840.

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

  13. Published

    Multi-center MRI carotid plaque component segmentation using feature normalization and transfer learning

    van Engelen, A., van Dijk, A. C., Truijman, M. T. B., van't Klooster, R., van Opbroek, A., van der Lugt, A., Niessen, W. J., Kooi, M. E. & de Bruijne, Marleen, 2015, In: IEEE Transactions on Medical Imaging. 34, 6, p. 1294-1305 12 p.

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

  14. 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

  15. 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

  16. 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

  17. 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

  18. 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

  19. 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

  20. 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

  21. 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

  22. 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

  23. 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

  24. Published

    Sensitivity of screening mammography by density and texture: a cohort study from a population-based screening program in Denmark

    von Euler-Chelpin, My Catarina, Lillholm, Martin, Vejborg, I., Nielsen, Mads & Lynge, Elsebeth, 2019, In: Breast Cancer Research. 21, 1

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

  25. Published

    Popular Politics: Comparing Popular Stories across News Media in Election Seasons

    Ørmen, Jacob & Petersen, C., 1 Jun 2017.

    Research output: Contribution to conference › Conference abstract for conference › Research

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