- Published
A standard-driven implementaion of WS-BPEL 2.0
Hallwyl, T., Henglein, Fritz & Hildebrandt, T., 2010, Proceedings of the 2010 ACM Symposium on Applied Computing. Association for Computing Machinery, p. 2472-2476 5 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
A static SMC sampler on shapes for the automated segmentation of aortic calcifications
Petersen, P. K., Nielsen, Mads & Brandt, S. S., 2010, Computer Vision – ECCV 2010: 11th European Conference on Computer Vision, Heraklion, Crete, Greece, September 5-11, 2010, Proceedings, Part IV. Daniilidis, K., Maragos, P. & Paragios, N. (eds.). Springer, p. 666-679 14 p. (Lecture notes in computer science, Vol. 6314).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
A statistical model for simultaneous template estimation, bias correction, and registration of 3D brain images
Pai, A. S. U., Sommer, Stefan Horst, Raket, L. L., Kühnel, L., Darkner, Sune, Sørensen, L. & Nielsen, Mads, 2017, Medical Computer Vision and Bayesian and Graphical Models for Biomedical Imaging: MICCAI 2016 International Workshops, MCV and BAMBI, Athens, Greece, October 21, 2016, Revised Selected Papers. Müller, H., Kelm, B. M., Arbel, T., Cai, W., Cardoso, M. J., Langs, G., Menze, B., Metaxas, D., Montillo, A., Wells, W. M., Zhang, S., Chung, A. C. S., Jenkinson, M. & Ribbens, A. (eds.). Springer, p. 151-159 9 p. (Lecture notes in computer science, Vol. 10081).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
A stochastic large deformation model for computational anatomy
Arnaudon, A., Holm, D. D., Pai, A. S. U. & Sommer, Stefan Horst, 2017, Information Processing in Medical Imaging: 25th International Conference, IPMI 2017, Boone, NC, USA, June 25-30, 2017, Proceedings. Springer, p. 571-582 12 p. (Lecture notes in computer science, Vol. 10265).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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A strongly quasiconvex PAC-Bayesian bound
Thiemann, N., Igel, Christian, Wintenberger, O. & Seldin, Yevgeny, 2017, Proceedings of International Conference on Algorithmic Learning Theory, 15-17 October 2017, Kyoto University, Kyoto, Japan . Hanneke, S. & Reyzin, L. (eds.). Proceedings of Machine Learning Research, p. 466-492 (Proceedings of Machine Learning Research, Vol. 76).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
A study of factuality, objectivity and relevance: three desiderata in large-scale information retrieval?
Lioma, Christina, Larsen, B., Lu, W. & Huang, Y., 2016, Proceedings of the 3rd IEEE/ACM International Conference on Big Data Computing, Applications and Technologies. Association for Computing Machinery, p. 107-117 11 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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A study of metrics of distance and correlation between ranked lists for compositionality detection
Lioma, Christina & Hansen, N. D., Aug 2017, In: Cognitive Systems Research. 44, p. 40-49 10 p.Research output: Contribution to journal › Journal article › Research › peer-review
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A swiss pocket knife for computability
Jones, N., 2013, Semantics, Abstract Interpretation, and Reasoning about Programs: essays dedicated to David A. Schmidt on the occasion of his sixtieth birthday, Manhattan, Kansas, USA, 19-20th September 2013. Banerjee, A., Danvy, O., Doh, K-G. & Hatcliff, J. (eds.). p. 1-17 17 p. (Electronic Proceedings in Theoretical Computer Science, Vol. 129).Research output: Chapter in Book/Report/Conference proceeding › Book chapter › Research
- Published
A synthetic axiomatization of Map Theory
Berline, C. & Grue, Klaus, 2016, In: Theoretical Computer Science. 614, p. 1-62 62 p.Research output: Contribution to journal › Journal article › Research › peer-review
- 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
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Addressing the path-length-dependency confound in white matter tract segmentation
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Virtual Trackballs Revisited
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Locally orderless registration
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Latest publications
Field report for Platform mBox: Designing an Open MMLA Platform
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Local Gamma Augmentation for Ischemic Stroke Lesion Segmentation on MRI
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OpenMS 3 enables reproducible analysis of large-scale mass spectrometry data
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