Marleen de Bruijne
Professor
Machine Learning
Universitetsparken 1, 2100 København Ø
- 2024
- Udgivet
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, I: Thorax. s. 13-22Publikation: Bidrag til tidsskrift › Tidsskriftartikel › fagfællebedømt
- Udgivet
Where is VALDO? VAscular Lesions Detection and segmentatiOn challenge at MICCAI 2021
ALFA study, A. S., 2024, I: Medical Image Analysis. 91, 23 s., 103029.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › fagfællebedømt
- Udgivet
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. (red.). Springer, s. 325-334 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bind 14349 LNCS).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- 2023
- Udgivet
Nested star-shaped objects segmentation using diameter annotations
Camarasa, R., Kervadec, H., Kooi, M. E., Hendrikse, J., Nederkoorn, P. J., Bos, D. & de Bruijne, Marleen, 2023, I: Medical Image Analysis. 90, 11 s., 102934.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › fagfællebedømt
- Udgivet
Reproducibility of a combined artificial intelligence and optimal-surface graph-cut method to automate bronchial parameter extraction
Dudurych, I., Garcia-Uceda, A., Petersen, Jens, Du, Y., Vliegenthart, R. & de Bruijne, Marleen, 2023, I: European Radiology. 33, s. 6718–6725Publikation: Bidrag til tidsskrift › Tidsskriftartikel › fagfællebedømt
- Udgivet
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 flere, , 2023, Proceedings - 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2023. IEEE Computer Society Press, s. 19955-19966Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
Determinants of Perivascular Spaces in the General Population: A Pooled Cohort Analysis of Individual Participant Data
Evans, T. E., Knol, M. J., Schwingenschuh, P., Wittfeld, K., Hilal, S., Ikram, M. A., Dubost, F., Van Wijnen, K. M. H., Katschnig, P., Yilmaz, P., de Bruijne, Marleen, Habes, M., Chen, C., Langer, S., Völzke, H., Ikram, M. K., Grabe, H. J., Schmidt, R., Adams, H. H. H. & Vernooij, M. W., 2023, I: Neurology. 100, 2, s. E107-E122Publikation: Bidrag til tidsskrift › Tidsskriftartikel › fagfællebedømt
- Udgivet
Preface: Information Processing in Medical Imaging (IPMI 2023)
Frangi, A., de Bruijne, Marleen, Wassermann, D. & Navab, N., 2023, Information Processing in Medical Imaging: 28th International Conference, IPMI 2023, San Carlos de Bariloche, Argentina, June 18–23, 2023, Proceedings. Springer, s. v-vi (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bind 13939 LNCS).Publikation: Bidrag til bog/antologi/rapport › Forord/efterskrift › Forskning
- Udgivet
The effect of CFTR modulators on structural lung disease in cystic fibrosis
Mok, L. C., Garcia-Uceda, A., Cooper, M. N., Kemner-Van De Corput, M., de Bruijne, Marleen, Feyaerts, N., Rosenow, T., De Boeck, K., Stick, S. & Tiddens, H. A. W. M., 2023, I: Frontiers in Pharmacology. 14, 10 s., 1147348.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › fagfællebedømt
- Udgivet
Graph cut-based segmentation
Petersen, Jens, Oguz, I. & de Bruijne, Marleen, 2023, Medical Image Analysis. Academic Press, s. 247-273Publikation: Bidrag til bog/antologi/rapport › Bidrag til bog/antologi › Forskning › fagfællebedømt
- Udgivet
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, I: Medical Image Analysis. 83, 1 s., 102695.Publikation: Bidrag til tidsskrift › Leder
- Udgivet
Unpaired, unsupervised domain adaptation assumes your domains are already similar
van Tulder, G. & de Bruijne, Marleen, 2023, I: Medical Image Analysis. 87, 17 s., 102825.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › fagfællebedømt
- 2022
- Udgivet
Differentiable Boundary Point Extraction for Weakly Supervised Star-shaped Object Segmentation
Camarasa, R., Kervadec, H., Bos, D. & de Bruijne, Marleen, 2022, I: Proceedings of Machine Learning Research. 172, s. 188-198Publikation: Bidrag til tidsskrift › Konferenceartikel › fagfællebedømt
- Udgivet
DS6, Deformation-Aware Semi-Supervised Learning: Application to Small Vessel Segmentation with Noisy Training Data
Chatterjee, S., Prabhu, K., Pattadkal, M., Bortsova, G., Sarasaen, C., Dubost, F., Mattern, H., de Bruijne, Marleen, Speck, O. & Nürnberger, A., 22 sep. 2022, I: Journal of Imaging. 8, 10, s. 1-22 259.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › fagfællebedømt
- Udgivet
An end-to-end approach to segmentation in medical images with CNN and posterior-CRF
Chen, S., Sedghi Gamechi, Z., Dubost, F., van Tulder, G. & de Bruijne, Marleen, feb. 2022, I: Medical Image Analysis. 76, s. 1-12 102311.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › fagfællebedømt
- Udgivet
Bronchial wall parameters on CT in healthy never-smoking, smoking, COPD, and asthma populations: a systematic review and meta-analysis
Dudurych, I., Muiser, S., McVeigh, N., Kerstjens, H. A. M., van den Berge, M., de Bruijne, Marleen & Vliegenthart, R., 2022, I: European Radiology. 32, s. 5308–5318Publikation: Bidrag til tidsskrift › Tidsskriftartikel › fagfællebedømt
- Udgivet
Diaphragmatic dysfunction in neuromuscular disease, an MRI study
Harlaar, L., Ciet, P., van Tulder, G., Brusse, E., Timmermans, R. G. M., Janssen, W. G. M., de Bruijne, Marleen, van der Ploeg, A. T., Tiddens, H. A. W. M., van Doorn, P. A. & van der Beek, N. A. M. E., 2022, I: Neuromuscular Disorders. 32, 1, s. 15-24Publikation: Bidrag til tidsskrift › Tidsskriftartikel › fagfællebedømt
- Udgivet
MRI changes in diaphragmatic motion and curvature in Pompe disease over time
Harlaar, L., Ciet, P., van Tulder, G., van Kooten, H. A., van der Beek, N. A. M. E., Brusse, E., de Bruijne, Marleen, Tiddens, H. A. W. M., van der Ploeg, A. T. & van Doorn, P. A., 2022, I: European Radiology. 32, s. 8681–8691Publikation: Bidrag til tidsskrift › Tidsskriftartikel › fagfællebedømt
- Udgivet
Deep learning methods for automatic evaluation of delayed enhancement-MRI. The results of the EMIDEC challenge
Lalande, A., Chen, Z., Pommier, T., Decourselle, T., Qayyum, A., Salomon, M., Ginhac, D., Skandarani, Y., Boucher, A., Brahim, K., de Bruijne, M., Camarasa, R., Correia, T. M., Feng, X., Girum, K. B., Hennemuth, A., Huellebrand, M., Hussain, R., Ivantsits, M., Ma, J. & 13 flere, , 2022, I: Medical Image Analysis. 79, s. 1-12 102428.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › fagfællebedømt
- Udgivet
Sleep and perivascular spaces in the middle-aged and elderly population
Lysen, T. S., Yilmaz, P., Dubost, F., Ikram, M. A., de Bruijne, Marleen, Vernooij, M. W. & Luik, A. I., 2022, I: Journal of Sleep Research. 31, 2, s. 1-* e13485.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › fagfællebedømt
- 2021
- Udgivet
Adversarial attack vulnerability of medical image analysis systems: Unexplored factors
Bortsova, G., González-Gonzalo, C., Wetstein, S. C., Dubost, F., Katramados, I., Hogeweg, L., Liefers, B., van Ginneken, B., Pluim, J. P. W., Veta, M., Sánchez, C. I. & de Bruijne, Marleen, 2021, I: Medical Image Analysis. 73, 14 s., 102141.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › fagfællebedømt
- Udgivet
Automated Segmentation and Volume Measurement of Intracranial Internal Carotid Artery Calcification at Noncontrast CT
Bortsova, G., Bos, D., Dubost, F., Vernooij, M. W., Ikram, M. K., van Tulder, G. & de Bruijne, Marleen, sep. 2021, I: Radiology: Artificial Intelligence. 3, 5, 10 s., e200226.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › fagfællebedømt
- Udgivet
A Quantitative Comparison of Epistemic Uncertainty Maps Applied to Multi-Class Segmentation
Camarasa, R., Bos, D., Hendrikse, J., Nederkoorn, P., Kooi, M. E., Lugt, A. V. D. & de Bruijne, Marleen, 22 sep. 2021, I: The Journal of Machine Learning for Biomedical Imaging. 2021, s. 1-39 013.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › fagfællebedømt
- Udgivet
Uncertainty-Based Segmentation of Myocardial Infarction Areas on Cardiac MR Images
Camarasa, R., Faure, A., Crozier, T., Bos, D. & de Bruijne, Marleen, 2021, Statistical Atlases and Computational Models of the Heart. MandMs and EMIDEC Challenges - 11th International Workshop, STACOM 2020, Held in Conjunction with MICCAI 2020, Revised Selected Papers. Puyol Anton, E., Pop, M., Sermesant, M., Campello, V., Lalande, A., Lekadir, K., Suinesiaputra, A., Camara, O. & Young, A. (red.). Springer, s. 385-391 7 s. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bind 12592 LNCS).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
Crowdsourcing airway annotations in chest computed tomography images
Cheplygina, V., Perez-Rovira, A., Kuo, W., Tiddens, H. A. W. M. & de Bruijne, Marleen, 2021, I: PLoS ONE. 16, e0249580.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › fagfællebedømt
- Udgivet
Creating a training set for artificial intelligence from initial segmentations of airways
Dudurych, I., Garcia-Uceda, A., Saghir, Zaigham, Tiddens, H. A. W. M., Vliegenthart, R. & de Bruijne, Marleen, 2021, I: European radiology experimental. 5, 1, 7 s., 54.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › fagfællebedømt
- Udgivet
Preface
Ernst, F., Heinrich, M., Lellmann, J., Schlaefer, A., Dou, Q. & de Bruijne, Marleen, 2021, e Proceedings of the Fourth International Conference on Medical Imaging with Deep Learning – MIDL 2021. PMLR, s. 1-4 (Proceedings of Machine Learning Research, Bind 143).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning
- Udgivet
Assessment of fully automatic segmentation of pulmonary artery and aorta on non-contrast CT with optimal surface graph cuts
Gamechi, Z. S., Arias-Lorza, A. M., Saghir, Z., Bos, D. & de Bruijne, Marleen, 2021, I: Medical Physics. 48, 12, s. 7837-7849Publikation: Bidrag til tidsskrift › Tidsskriftartikel › fagfællebedømt
- Udgivet
Automatic airway segmentation from computed tomography using robust and efficient 3-D convolutional neural networks
Garcia-uceda, A., Selvan, Raghav, Saghir, Zaigham, Tiddens, H. A. W. M. & de Bruijne, Marleen, 2021, I: Scientific Reports. 11, 1, 15 s., 16001.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › fagfællebedømt
- Udgivet
Chest MRI to diagnose early diaphragmatic weakness in Pompe disease
Harlaar, L., Ciet, P., van Tulder, G., Pittaro, A., van Kooten, H. A., van der Beek, N. A. M. E., Brusse, E., Wielopolski, P. A., de Bruijne, Marleen, van der Ploeg, A. T., Tiddens, H. A. W. M. & van Doorn, P. A., 2021, I: Orphanet Journal of Rare Diseases. 16, 1, s. 1-12 21.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › fagfællebedømt
- Udgivet
Developing and validating COVID-19 adverse outcome risk prediction models from a bi-national European cohort of 5594 patients
Jimenez-Solem, E., Petersen, T. S., Hansen, C., Hansen, C., Lioma, C., Igel, C., Boomsma, W., Krause, O., Lorenzen, S., Selvan, R., Petersen, J., Nyeland, M. E., Ankarfeldt, M. Z., Virenfeldt, G. M., Winther-Jensen, M., Linneberg, A., Ghazi, M. M., Detlefsen, N., Lauritzen, A. D., Smith, A. G. & 15 flere, , 2021, I: Scientific Reports. 11, 1, 12 s., 3246.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › fagfællebedømt
- Udgivet
Intracranial arteriosclerosis is related to cerebral small vessel disease: a prospective cohort study
Vinke, E. J., Yilmaz, P., van der Toorn, J. E., Fakhry, R., Frenzen, K., Dubost, F., Licher, S., de Bruijne, Marleen, Kavousi, M., Ikram, M. A., Vernooij, M. W. & Bos, D., 2021, I: Neurobiology of Aging. 105, s. 16-24Publikation: Bidrag til tidsskrift › Tidsskriftartikel › fagfællebedømt
- Udgivet
Learning from Imperfect Data: Weak Labels, Shifting Domains, and Small Datasets in Medical Imaging
de Bruijne, Marleen, 2021, Bildverarbeitung für die Medizin 2021: Proceedings, German Workshop on Medical Image Computing, Regensburg, March 7-9, 2021. Springer, s. 1 1 s.Publikation: Bidrag til bog/antologi/rapport › Konferenceabstrakt i proceedings › Forskning
- Udgivet
Preface (vols 1-8)
de Bruijne, Marleen, Cattin, P. C., Cotin, S., Padoy, N., Speidel, S., Zheng, Y. & Essert, C., 2021, Medical Image Computing and Computer Assisted Intervention – MICCAI 2021: 24th International Conference, Strasbourg, France, September 27 – October 1, 2021, Proceedings, Part VII. Springer, Bind 12905 LNCS. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning
- 2020
- Udgivet
Spatially regularized shape analysis of the hippocampus using P-spline based shape regression
Achterberg, H. C., de Rooi, J., Vernooij, M., Ikram, A., Niessen, W., Eilers, P. & de Bruijne, Marleen, 2020, I: IEEE Journal of Biomedical and Health Informatics. 24, 3, s. 825-834Publikation: Bidrag til tidsskrift › Tidsskriftartikel › fagfællebedømt
- Udgivet
Preface
Arbel, T., Ayed, I. B., de Bruijne, Marleen, Descoteaux, M., Lombaert, H. & Pal, C., 2020, Proceedings of the Third Conference on Medical Imaging with Deep Learning – MIDL 2020. PMLR, Bind 121. s. 1-5 (Proceedings of Machine Learning Research, Bind 121).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning
- Udgivet
Growth of the thoracic aorta in the smoking population: The Danish Lung Cancer Screening Trial
Bons, L. R., Sedghi Gamechi, Z., Thijssen, C. G. E., Kofoed, Klaus Fuglsang, Pedersen, J. H., Saghir, Zaigham, Takkenberg, J. J. M., Kardys, I., Budde, R. P. J., de Bruijne, Marleen & Roos-Hesselink, J. W., 2020, I: International Journal of Cardiology. 299, s. 276-281Publikation: Bidrag til tidsskrift › Tidsskriftartikel › fagfællebedømt
- Udgivet
Quantitative Comparison of Monte-Carlo Dropout Uncertainty Measures for Multi-class Segmentation
Camarasa, R., Bos, D., Hendrikse, J., Nederkoorn, P., Kooi, E., van der Lugt, A. & de Bruijne, Marleen, 2020, Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Graphs in Biomedical Image Analysis - 2nd International Workshop, UNSURE 2020, and 3rd International Workshop, GRAIL 2020, Held in Conjunction with MICCAI 2020, Proceedings. Sudre, C. H., Fehri, H., Arbel, T., Baumgartner, C. F., Dalca, A., Tanno, R., Van Leemput, K., Wells, W. M., Sotiras, A., Papiez, B., Ferrante, E. & Parisot, S. (red.). Springer, s. 32-41 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bind 12443 LNCS).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
Three-dimensional ultrasound evaluation of the effects of pomegranate therapy on carotid plaque texture using locality preserving projection
Chen, X., Lin, M., Cui, H., Chen, Y., van Engelen, A., de Bruijne, Marleen, Azarpazhooh, M. R., Sohrevardi, S. M., Chow, T. W. S., Spence, J. D. & Chiu, B., 2020, I: Computer Methods and Programs in Biomedicine. 184, 10 s., 105276.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › fagfællebedømt
- Udgivet
Transfer Learning by Asymmetric Image Weighting for Segmentation across Scanners
Cheplygina, V., Opbroek, A. V., Ikram, M. A., Vernooij, M. W. & de Bruijne, Marleen, 2020, I: arXiv.org. 17 s.Publikation: Bidrag til tidsskrift › Tidsskriftartikel
- Udgivet
Automated Estimation of the Spinal Curvature via Spine Centerline Extraction with Ensembles of Cascaded Neural Networks
Dubost, F., Collery, B., Renaudier, A., Roc, A., Posocco, N., Niessen, W. & de Bruijne, Marleen, 2020, Computational Methods and Clinical Applications for Spine Imaging: 6th International Workshop and Challenge, CSI 2019, Proceedings. Cai, Y., Wang, L., Audette, M., Zheng, G. & Li, S. (red.). Springer VS, s. 88-94 7 s. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bind 11963 LNCS).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
Multi-atlas image registration of clinical data with automated quality assessment using ventricle segmentation
Dubost, F., de Bruijne, Marleen, Nardin, M., Dalca, A. V., Donahue, K. L., Giese, A., Etherton, M. R., Wu, O., Groot, M. D., Niessen, W., Vernooij, M., Rost, N. S. & Schirmer, M. D., 2020, I: Medical Image Analysis. 63, 14 s., 101698.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › fagfællebedømt
- Udgivet
Weakly supervised object detection with 2D and 3D regression neural networks
Dubost, F., Adams, H., Yilmaz, P., Bortsova, G., Tulder, G. V., Ikram, M. A., Niessen, W., Vernooij, M. W. & de Bruijne, Marleen, okt. 2020, I: Medical Image Analysis. 65, 22 s., 101767.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › fagfællebedømt
- Udgivet
Region-of-interest guided supervoxel inpainting for self-supervision
Kayal, S., Chen, S. & de Bruijne, Marleen, 2020, Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 - 23rd International Conference, Proceedings. Martel, A. L., Abolmaesumi, P., Stoyanov, D., Mateus, D., Zuluaga, M. A., Zhou, S. K., Racoceanu, D. & Joskowicz, L. (red.). Springer VS, s. 500-509 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bind 12261 LNCS).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
Spectral Data Augmentation Techniques to Quantify Lung Pathology from CT-Images
Kayal, S., Dubost, F., Tiddens, H. A. W. M. & de Bruijne, Marleen, apr. 2020, ISBI 2020 - 2020 IEEE International Symposium on Biomedical Imaging. IEEE, s. 586-590 9098581Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
Airway tapering: An objective image biomarker for bronchiectasis
Kuo, W., Perez-Rovira, A., Tiddens, H. & de Bruijne, Marleen, 2020, I: European Radiology. 30, 5, s. 2703-2711Publikation: Bidrag til tidsskrift › Tidsskriftartikel › fagfællebedømt
- Udgivet
Longitudinal assessment of carotid plaque texture in three-dimensional ultrasound images based on semi-supervised graph-based dimensionality reduction and feature selection
Lin, M., Cui, H., Chen, W., van Engelen, A., de Bruijne, Marleen, Azarpazhooh, M. R., Sohrevardi, S. M., Spence, J. D. & Chiu, B., jan. 2020, I: Computers in Biology and Medicine. 116, 11 s., 103586.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › fagfællebedømt
- Udgivet
Learning to quantify emphysema extent: What labels do we need?
Orting, S. N., Petersen, Jens, Thomsen, L. H., Winkler Wille, M. M. & de Bruijne, Marleen, 2020, I: IEEE Journal of Biomedical and Health Informatics. 24, 4, s. 1149 -1159Publikation: Bidrag til tidsskrift › Tidsskriftartikel › fagfællebedømt
- Udgivet
Graph Refinement based Airway Extraction using Mean-Field Networks and Graph Neural Networks
Selvan, Raghav, Kipf, T., Welling, M., Juarez, A. G., Pedersen, J. H., Petersen, Jens & de Bruijne, Marleen, 2020, I: Medical Image Analysis. 64, 12 s., 101751.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › fagfællebedømt
- Udgivet
Chronic Obstructive Pulmonary Disease Quantification Using CT Texture Analysis and Densitometry: Results From the Danish Lung Cancer Screening Trial
Sørensen, L., Nielsen, Mads, Petersen, Jens, Pedersen, J. H., Dirksen, A. & de Bruijne, Marleen, 2020, I: American Journal of Roentgenology. 214, 6, s. 1269-1279Publikation: Bidrag til tidsskrift › Tidsskriftartikel › fagfællebedømt
- Udgivet
Classification of Volumetric Images Using Multi-Instance Learning and Extreme Value Theorem
Tennakoon, R., Bortsova, G., Orting, S., Gostar, A. K., Wille, M. M. W., Saghir, Zaigham, Hoseinnezhad, R., de Bruijne, Marleen & Bab-Hadiashar, A., 2020, I: IEEE Transactions on Medical Imaging. 39, 4, s. 854-865Publikation: Bidrag til tidsskrift › Tidsskriftartikel › fagfællebedømt
- 2019
- Udgivet
The value of hippocampal volume, shape, and texture for 11-year prediction of dementia: a population-based study
Achterberg, H. C., Sørensen, L., Wolters, F. J., Niessen, W. J., Vernooij, M. W., Ikram, M. A., Nielsen, Mads & de Bruijne, Marleen, 2019, I: Neurobiology of Aging. 81, s. 58-66Publikation: Bidrag til tidsskrift › Tidsskriftartikel › fagfællebedømt
- Udgivet
Semi-supervised Medical Image Segmentation via Learning Consistency Under Transformations
Bortsova, G., Dubost, F., Hogeweg, L., Katramados, I. & de Bruijne, Marleen, 1 jan. 2019, Medical Image Computing and Computer Assisted Intervention – MICCAI 2019 - 22nd International Conference, Proceedings. Shen, D., Yap, P-T., Liu, T., Peters, T. M., Khan, A., Staib, L. H., Essert, C. & Zhou, S. (red.). Springer VS, s. 810-818 9 s. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bind 11769 LNCS).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
Multi-task Attention-Based Semi-supervised Learning for Medical Image Segmentation
Chen, S., Bortsova, G., Juárez, A. G. U., van Tulder, G. & de Bruijne, Marleen, 1 jan. 2019, Medical Image Computing and Computer Assisted Intervention – MICCAI 2019 - 22nd International Conference, Proceedings. Shen, D., Yap, P-T., Liu, T., Peters, T. M., Khan, A., Staib, L. H., Essert, C. & Zhou, S. (red.). Springer VS, s. 457-465 9 s. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bind 11766 LNCS).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
Not-so-supervised: A survey of semi-supervised, multi-instance, and transfer learning in medical image analysis
Cheplygina, V., de Bruijne, Marleen & Pluim, J. P. W., 29 mar. 2019, I: Medical Image Analysis. 54, s. 280-296 17 s.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › fagfællebedømt
- Udgivet
3D regression neural network for the quantification of enlarged perivascular spaces in brain MRI
Dubost, F., Adams, H., Bortsova, G., Ikram, M. A., Niessen, W., Vernooij, M. & de Bruijne, Marleen, jan. 2019, I: Medical Image Analysis. 51, s. 89-100Publikation: Bidrag til tidsskrift › Tidsskriftartikel › fagfællebedømt
- Udgivet
Automated Quantification of Enlarged Perivascular Spaces in Clinical Brain MRI Across Sites
Dubost, F., Dünnwald, M., Huff, D., Scheumann, V., Schreiber, F., Vernooij, M., Niessen, W., Skalej, M., Schreiber, S., Oeltze-Jafra, S. & de Bruijne, Marleen, 2019, OR 2.0 Context-Aware Operating Theaters and Machine Learning in Clinical Neuroimaging - 2nd International Workshop, OR 2.0 2019, and 2nd International Workshop, MLCN 2019, Held in Conjunction with MICCAI 2019, Proceedings. Zhou, L., Sarikaya, D., Kia, S. M., Speidel, S., Malpani, A., Hashimoto, D., Habes, M., Löfstedt, T., Ritter, K. & Wang, H. (red.). Springer VS, s. 103-111 9 s. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bind 11796 LNCS).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
Enlarged perivascular spaces in brain MRI: Automated quantification in four regions
Dubost, F., Yilmaz, P., Adams, H., Bortsova, G., Ikram, M. A., Niessen, W., Vernooij, M. & de Bruijne, Marleen, 2019, I: NeuroImage. 185, s. 534-544Publikation: Bidrag til tidsskrift › Tidsskriftartikel › fagfællebedømt
- Udgivet
Hydranet: Data augmentation for regression neural networks
Dubost, F., Bortsova, G., Adams, H., Ikram, M. A., Niessen, W., Vernooij, M. & de Bruijne, Marleen, 1 jan. 2019, Medical Image Computing and Computer Assisted Intervention – MICCAI 2019 - 22nd International Conference, Proceedings. Shen, D., Yap, P-T., Liu, T., Peters, T. M., Khan, A., Staib, L. H., Essert, C. & Zhou, S. (red.). Springer VS, s. 438-446 9 s. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bind 11767 LNCS).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
A joint 3D UNet-Graph Neural Network-based method for Airway Segmentation from chest CTs
Juarez, A. G., Selvan, Raghav, Saghir, Zaigham & de Bruijne, Marleen, 22 aug. 2019, Machine Learning in Medical Imaging: 10th International Workshop, MLMI 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings. Springer, s. 583-591 (Lecture Notes in Computer Science, Bind LNCS 11861).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
A Cross-Center Smoothness Prior for Variational Bayesian Brain Tissue Segmentation
Kouw, W. M., Ørting, S. N., Petersen, Jens, Steenstrup Pedersen, Kim & de Bruijne, Marleen, 1 jan. 2019, Information Processing in Medical Imaging : 26th International Conference, IPMI 2019, Proceedings. Bao, S., Chung, A. C. S., Gee, J. C. & Yushkevich, P. A. (red.). Springer, s. 360-371 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bind 11492 LNCS).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
Reference values and variation of acetabular angles measured by computed tomography in 170 asymptomatic hips
Mechlenburg, I., Stilling, M., Rømer, L., de Bruijne, Marleen, Søballe, K. & de Raedt, S., 28 feb. 2019, I: Acta Radiologica. 60, 7, s. 895–901Publikation: Bidrag til tidsskrift › Tidsskriftartikel › fagfællebedømt
- Udgivet
Technical challenges of quantitative chest MRI data analysis in a large cohort pediatric study
Nguyen, A. H., Perez-Rovira, A., Wielopolski, P. A., Hernandez Tamames, J. A., Duijts, L., de Bruijne, Marleen, Aliverti, A., Pennati, F., Ivanovska, T., Tiddens, H. A. W. M. & Ciet, P., 2019, I: European Radiology. 29, 6, s. 2770–2782Publikation: Bidrag til tidsskrift › Tidsskriftartikel › fagfællebedømt
- Udgivet
Increasing Accuracy of Optimal Surfaces Using Min-marginal Energies
Petersen, Jens, Arias-Lorza, A. M., Selvan, Raghav, Bos, D., van der Lugt, A., Pedersen, J. H., Nielsen, Mads & de Bruijne, Marleen, 1 jan. 2019, I: IEEE Transactions on Medical Imaging. 38, 7, s. 1559-1568 8599009.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › fagfællebedømt
- Udgivet
Genetic landscape of chronic obstructive pulmonary disease identifies heterogeneous cell-type and phenotype associations
SpiroMeta Consortium, S. C., International COPD Genetics Consortium, I. C. G. C. & Understanding Society Scientific Group, U. S. S. G., 2019, I: Nature Genetics. 51, 3, s. 494-505Publikation: Bidrag til tidsskrift › Tidsskriftartikel › fagfællebedømt
- Udgivet
Automated 3D segmentation and diameter measurement of the thoracic aorta on non-contrast enhanced CT
Sedghi Gamechi, Z., Bons, L. R., Giordano, M., Bos, D., Budde, R. P. J., Kofoed, Klaus Fuglsang, Pedersen, J. H., Roos-Hesselink, J. W. & de Bruijne, Marleen, 23 jan. 2019, I: European Radiology. 29, 9, s. 4613-4623Publikation: Bidrag til tidsskrift › Tidsskriftartikel › fagfællebedømt
- Udgivet
Extracting tree structures in CT data by tracking multiple statistically ranked hypotheses
Selvan, Raghav, Petersen, Jens, Pedersen, J. H. & de Bruijne, Marleen, 18 okt. 2019, I: Medical Physics. 46, 10, s. 4431-4440Publikation: Bidrag til tidsskrift › Tidsskriftartikel › fagfællebedømt
- Udgivet
Deep Multi-instance Volumetric Image Classification with Extreme Value Distributions
Tennakoon, R., Gostar, A. K., Hoseinnezhad, R., de Bruijne, Marleen & Bab-Hadiashar, A., 2019, Computer Vision - ACCV 2018: 14th Asian Conference on Computer Vision, Perth, Australia, December 2–6, 2018, Revised Selected Papers. Li, H., Jawahar, C. V., Mori, G. & Schindler, K. (red.). Springer, s. 590-604 15 s. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bind 11363 LNCS).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
Event-Based Modeling with High-Dimensional Imaging Biomarkers for Estimating Spatial Progression of Dementia
for the Alzheimer’s Disease Neuroimaging Initiative, F. A. D. N. I., 2019, Information Processing in Medical Imaging - 26th International Conference, IPMI 2019, Proceedings: 26th International Conference, IPMI 2019, Hong Kong, China, June 2–7, 2019,Proceedings. Bao, S., Chung, A. C. S., Gee, J. C. & Yushkevich, P. A. (red.). Springer, s. 169-180 12 s. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bind 11492 LNCS).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
Gray Matter Age Prediction as a Biomarker for Risk of Dementia
Wang, J., Knol, M. J., Tiulpin, A., Dubost, F., de Bruijne, Marleen, Vernooij, M. W., Adams, H. H. H., Ikram, M. A., Niessen, W. J. & Roshchupkin, G. V., 15 okt. 2019, I: Proceedings of the National Academy of Sciences of the United States of America. 116, 42, s. 21213-21218Publikation: Bidrag til tidsskrift › Tidsskriftartikel › fagfællebedømt
- Udgivet
Grey Matter Age Prediction as a Biomarker for Risk of Dementia: A Population-based Study
Wang, J., Knol, M., Tiulpin, A., Dubost, F., de Bruijne, Marleen, Vernooij, M., Adams, H., Ikram, M. A., Niessen, W. & Roshchupkin, G., 2019, I: bioRxiv. 17 s., 518506.Publikation: Bidrag til tidsskrift › Tidsskriftartikel
- Udgivet
APIR-Net: Autocalibrated Parallel Imaging Reconstruction Using a Neural Network
Zhang, C., Dubost, F., de Bruijne, Marleen, Klein, S. & Poot, D. H. J., 1 jan. 2019, Machine Learning for Medical Image Reconstruction : Second International Workshop, MLMIR 2019 Held in Conjunction with MICCAI 2019 Shenzhen, China, October 17, 2019, Proceedings. Knoll, F., Maier, A., Rueckert, D. & Ye, J. C. (red.). Springer VS, s. 36-46 11 s. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bind 11905 LNCS).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
Transfer Learning for Image Segmentation by Combining Image Weighting and Kernel Learning
van Opbroek, A., Achterberg, H. C., Vernooij, M. W. & de Bruijne, Marleen, 2019, I: IEEE Transactions on Medical Imaging. 38, 1, s. 213-224 8419778.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › fagfællebedømt
- Udgivet
Learning Cross-Modality Representations from Multi-Modal Images
van Tulder, G. & de Bruijne, Marleen, 2019, I: IEEE Transactions on Medical Imaging. 38, 2, s. 638-648Publikation: Bidrag til tidsskrift › Tidsskriftartikel › fagfællebedømt
- Udgivet
Automated lesion detection by regressing intensity-based distance with a neural network
van Wijnen, K. M. H., Dubost, F., Yilmaz, P., Ikram, M. A., Niessen, W. J., Adams, H., Vernooij, M. W. & de Bruijne, Marleen, 1 jan. 2019, Medical Image Computing and Computer Assisted Intervention – MICCAI 2019 - 22nd International Conference, Proceedings. Shen, D., Yap, P-T., Liu, T., Peters, T. M., Khan, A., Staib, L. H., Essert, C. & Zhou, S. (red.). Springer VS, s. 234-242 9 s. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bind 11767 LNCS).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- 2018
- Udgivet
Maximization of regional probabilities using Optimal Surface Graphs: application to carotid artery segmentation in MRI
Arias Lorza, A. M., Van Engelen, A., Petersen, Jens, Van Der Lugt, A. & de Bruijne, Marleen, 1 mar. 2018, I: Medical Physics. 45, 3, s. 1159-1169Publikation: Bidrag til tidsskrift › Tidsskriftartikel › fagfællebedømt
- Udgivet
Cooperative carotid artery centerline extraction in MRI
Arias-Lorza, A. M., Bos, D., van der Lugt, A. & de Bruijne, Marleen, maj 2018, I: PLOS ONE. 13, 5, 16 s., e0197180.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › fagfællebedømt
- Udgivet
Deep Learning from Label Proportions for Emphysema Quantification
Bortsova, G., Dubost, F., Ørting, S., Katramados, I., Hogeweg, L., Thomsen, L., Wille, M. & de Bruijne, Marleen, 2018, Medical Image Computing and Computer Assisted Intervention – MICCAI 2018: 21st International Conference, 2018, Proceedings Part II. Frangi, A. F., Schnabel, J. A., Davatzikos, C., Alberola-López, C. & Fichtinger, G. (red.). Springer, s. 768-776 (Lecture notes in computer science, Bind 11071).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
An End-to-end Approach to Semantic Segmentation with 3D CNN and Posterior-CRF in Medical Images
Chen, S. & de Bruijne, Marleen, 8 nov. 2018. 4 s.Publikation: Konferencebidrag › Paper › Forskning › fagfællebedømt
- Udgivet
Transfer learning for multicenter classification of chronic obstructive pulmonary disease
Cheplygina, V., Peña, I. P., Pedersen, J. J. H., Lynch, D. A., Sørensen, L. & de Bruijne, Marleen, sep. 2018, I: IEEE Journal of Biomedical and Health Informatics. 22, 5, s. 1486 - 1496Publikation: Bidrag til tidsskrift › Tidsskriftartikel › fagfællebedømt
- Udgivet
Reliability of computer-assisted periacetabular osteotomy using a minimally invasive approach
De Raedt, S., Mechlenburg, I., Stilling, M., Rømer, L., Murphy, R. J., Armand, M., Lepistö, J., de Bruijne, Marleen & Søballe, K., 2018, I: International Journal of Computer Assisted Radiology and Surgery. 13, 12, s. 2021-2028 8 s.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › fagfællebedømt
- Udgivet
Imaging of respiratory muscles in neuromuscular disease: A review
Harlaar, L., Ciet, P., van der Ploeg, A. T., Brusse, E., van der Beek, N. A. M. E., Wielopolski, P. A., de Bruijne, Marleen, Tiddens, H. A. W. M. & van Doorn, P. A., 1 mar. 2018, I: Neuromuscular Disorders. 28, 3, s. 246-256 11 s.Publikation: Bidrag til tidsskrift › Review › fagfællebedømt
- Udgivet
Automatic airway segmentation in chest CT using convolutional neural networks
Juarez, A. G. U., Tiddens, H. A. W. M. & de Bruijne, Marleen, 2018, Image Analysis for Moving Organ, Breast, and Thoracic Images: Third International Workshop, RAMBO 2018, Fourth International Workshop, BIA 2018, and First International Workshop, TIA 2018, Held in Conjunction with MICCAI 2018, Proceedings. Springer, s. 238-250 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bind 11040 LNCS).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
Quantification of Lung Abnormalities in Cystic Fibrosis using Deep Networks
Marques, F., Dubost, F., Corput, M. K. D., Tiddens, H. A. W. & de Bruijne, Marleen, 2018, Medical Imaging 2018: Image Processing. SPIE - International Society for Optical Engineering, 7 s. 105741G. (Proceedings of SPIE International Symposium on Medical Imaging, Bind 10574).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
LONGITUDINAL ASSESSMENT OF CT REGIONS OF LOW ATTENUATION REVERSIBILITY IN YOUNG CHILDREN WITH CYSTIC FIBROSIS
Mok, L., Andrinopoulou, E., de Bruijne, Marleen, Tiddens, H., Stick, S. & Rosenow, T., 2018, I: Respirology. 23, Suppl. 1/SI, s. 57-57 TO 069.Publikation: Bidrag til tidsskrift › Mødereferat
- Udgivet
Feature Learning Based on Visual Similarity Triplets in Medical Image Analysis: A Case Study of Emphysema in Chest CT Scans
Nyboe Ørting, S., Petersen, Jens, Cheplygina, V., Thomsen, L. H., Wille, M. M. W. & de Bruijne, Marleen, 2018, Intravascular Imaging and Computer Assisted Stenting and Large-Scale Annotation of Biomedical Data and Expert Label Synthesis: 7th Joint International Workshop, CVII-STENT 2018 and Third International Workshop, LABELS 2018 Held in Conjunction with MICCAI 2018 Granada, Spain, September 16, 2018 Proceedings. Stoyanov, D., Taylor, Z., Balocco, S. & Sznitman, R. (red.). Springer, s. 140-149 Chapter 16. (Lecture Notes in Computer Science, Bind 11043).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
Detecting emphysema with multiple instance learning
Orting, S. N., Petersen, Jens, Thomsen, L. H., Wille, M. M. W. & de Bruijne, Marleen, 23 maj 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging, ISBI 2018. IEEE, s. 510-513Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
Automatic emphysema detection using weakly labeled HRCT lung images
Pino Peña, I., Cheplygina, V., Paschaloudi, S., Vuust, M., Carl, J., Weinreich, U. M., Østergaard, L. R. & de Bruijne, Marleen, 2018, I: PLoS ONE. 13, 10, s. 1-16 e0205397.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › fagfællebedømt
- Udgivet
Extraction of Airways using Graph Neural Networks
Selvan, Raghav, Kipf, T., Welling, M., Pedersen, J. J. H., Petersen, Jens & de Bruijne, Marleen, 2018. 3 s.Publikation: Konferencebidrag › Konferenceabstrakt til konference › Forskning › fagfællebedømt
- Udgivet
Mean Field Network Based Graph Refinement with Application to Airway Tree Extraction
Selvan, Raghav, Welling, M., Pedersen, J. J. H., Petersen, Jens & de Bruijne, Marleen, 2018, Medical Image Computingand Computer AssistedIntervention – MICCAI 2018: 21st International Conference, Granada, Spain, September 16–20, 2018, Proceedings, Part II. Frangi, A. F., Schnabel, J. A., Davatzikos, C., Alberola-López, C. & Fichtinger, G. (red.). Springer, s. 750-758 (Lecture notes in computer science, Bind 11071).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
Aorta and pulmonary artery segmentation using optimal surface graph cuts in non-contrast CT
Sedghi Gamechi, Z., Arias-Lorza, A. M., Pedersen, J. H. & de Bruijne, Marleen, 2018, Medical Imaging 2018: Image Processing. SPIE - International Society for Optical Engineering, 7 s. 105742D. (Proceedings of SPIE International Symposium on Medical Imaging, Bind 10574).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
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, I: NeuroImage: Clinical. 20, s. 466-475 10 s.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › fagfællebedømt
- 2017
- Udgivet
Segmentation of intracranial arterial calcification with deeply supervised residual dropout networks
Bortsova, G., van Tulder, G., Dubost, F., Peng, T., Navab, N., van der Lugt, A., Bos, D. & de Bruijne, Marleen, 2017, Medical Image Computing and Computer-Assisted Intervention − MICCAI 2017: 20th International Conference, Quebec City, QC, Canada, September 11-13, 2017, Proceedings, Part III. Descoteaux, M., Maier-Hein, L., Franz, A., Jannin, P., Collins, D. L. & Duchesne, S. (red.). Springer, s. 356-364 9 s. (Lecture notes in computer science, Bind 10435).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
Automated registration of freehand B-mode ultrasound and magnetic resonance imaging of the carotid arteries based on geometric features
Carvalho, D. D. B., Arias Lorza, A. M., Niessen, W. J., de Bruijne, Marleen & Klein, S., 2017, I: Ultrasound in Medicine & Biology. 43, 1, s. 273–285 13 s.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › fagfællebedømt
- Udgivet
Do you trust your multiple instance learning classifier?
Cheplygina, V., Sørensen, L., Tax, D. M. J., de Bruijne, Marleen & Loog, M., 2017, Benelearn 2017: Proceedings of the Twenty-Sixth Benelux Conference on Machine Learning. Duivesteijn, W., Pechenizkiy, M., Fletcher, G., Menkovski, V., Postma, E., Vanschoren, J. & van der Putten, P. (red.). s. 72-73 2 s.Publikation: Bidrag til bog/antologi/rapport › Konferenceabstrakt i proceedings › Forskning
- Udgivet
GP-Unet: Lesion detection from weak labels with a 3D regression network
Dubost, F., Bortsova, G., Adams, H., Ikram, A., Niessen, W. J., Vernooij, M. & de Bruijne, Marleen, 2017, Medical Image Computing and Computer-Assisted Intervention − MICCAI 2017: 20th International Conference, Quebec City, QC, Canada, September 11-13, 2017, Proceedings, Part III. Descoteaux, M., Maier-Hein, L., Franz, A., Jannin, P., Collins, D. L. & Duschesne, S. (red.). Springer, s. 214-221 8 s. (Lecture notes in computer science, Bind 10435).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
Fully automated lung volume assessment from MRI in a population-based child cohort study
Ivanovska, T., Ciet, P., Rerez-Rovira, A., Nguyen, A., Tiddens, H., Duijts, L., de Bruijne, Marleen & Wörgötter, F., 2017, Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications. SCITEPRESS Digital Library, Bind 6. s. 53-58 6 s.Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
Diagnosis of bronchiectasis and airway wall thickening in children with cystic fibrosis: objective airway-artery quantification
Kuo, W., de Bruijne, Marleen, Petersen, Jens, Nasserinejad, K., Ozturk, H., Chen, Y., Perez-Rovira, A. & Tiddens, H. A. W. M., nov. 2017, I: European Radiology. 27, 11, s. 4680-4689 10 s.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › fagfællebedømt
- Udgivet
Objective airway artery dimensions compared to CT scoring methods assessing structural cystic fibrosis lung disease
Kuo, W., Andrinopoulou, E., Perez-Rovira, A., Ozturk, H., de Bruijne, Marleen & Tiddens, H. A. W. M., jan. 2017, I: Journal of Cystic Fibrosis. 16, 1, s. 116–123 8 s.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › fagfællebedømt
- Udgivet
Comparison of CT and CMR for detection and quantification of carotid artery calcification: the Rotterdam Study
Mujaj, B., Lorza, A. M. A., van Engelen, A., de Bruijne, Marleen, Franco, O. H., van der Lugt, A., Vernooij, M. W. & Bos, D., 6 mar. 2017, I: Journal of Cardiovascular Magnetic Resonance. 19, 1, 7 s., 28.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › fagfællebedømt
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