Marleen de Bruijne
Professor
Machine Learning
Universitetsparken 1, 2100 København Ø
- 2023
- 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 journal › Journal article › Research › peer-review
- Published
Why is the winner the best?
Eisenmann, M., Reinke, A., Weru, V., Tizabi, M. D., Isensee, F., Adler, T. J., Ali, S., Andrearczyk, V., Aubreville, M., Baid, U., Bakas, S., Balu, N., Bano, S., Bernal, J., Bodenstedt, S., Casella, A., Cheplygina, V., Daum, M., Bruijne, M. D., Depeursinge, A. & 105 others, , 2023, Proceedings - 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2023. IEEE Computer Society Press, p. 19955-19966Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Editorial for the MEDIA MICCAI special issue 2021
de Bruijne, Marleen, Cattin, P. C., Cotin, S., Padoy, N., Speidel, S., Zheng, Y. & Essert, C., Jan 2023, In: Medical Image Analysis. 83, 1 p., 102695.Research output: Contribution to journal › Editorial › Research
- 2024
- Published
Automatic analysis of bronchus-artery dimensions to diagnose and monitor airways disease in cystic fibrosis
Lv, Q., Gallardo-Estrella, L., Andrinopoulou, E., Chen, Y., Charbonnier, J., Sandvik, R. M., Caudri, D., Nielsen, Kim G., de Bruijne, Marleen, Ciet, P. & Tiddens, H., 2024, In: Thorax. p. 13-22Research output: Contribution to journal › Journal article › Research › peer-review
- E-pub ahead of print
Burden of intracranial artery calcification in white patients with ischemic stroke
Berghout, B. P., Camarasa, R. Y. R., Van Dam-Nolen, D. H. K., van der Lugt, A., de Bruijne, Marleen, Koudstaal, P. J., Ikram, M. K. & Bos, D., 2024, (E-pub ahead of print) In: European Stroke Journal.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Leveraging Ellipsoid Bounding Shapes and Fast R-CNN for Enlarged Perivascular Spaces Detection and Segmentation
Zabihi, M., Tangwiriyasakul, C., Ingala, S., Lorenzini, L., Camarasa, R., Barkhof, F., de Bruijne, Marleen, Cardoso, M. J. & Sudre, C. H., 2024, Machine Learning in Medical Imaging - 14th International Workshop, MLMI 2023, Held in Conjunction with MICCAI 2023, Proceedings. Cao, X., Ouyang, X., Xu, X., Rekik, I. & Cui, Z. (eds.). Springer, p. 325-334 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 14349 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Where is VALDO? VAscular Lesions Detection and segmentatiOn challenge at MICCAI 2021
ALFA study, A. S., 2024, In: Medical Image Analysis. 91, 23 p., 103029.Research output: Contribution to journal › Journal article › Research › peer-review
ID: 545222
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Evaluation of registration methods on thoracic CT: the EMPIRE10 challenge
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Atherosclerotic plaque component segmentation in combined carotid MRI and CTA data incorporating class label uncertainty
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2145
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Distribution, size, shape, growth potential and extent of abdominal aortic calcified deposits predict mortality in postmenopausal women
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