Marleen de Bruijne
Professor
Machine Learning
Universitetsparken 1, 2100 København Ø
- Udgivet
2D-3D shape reconstruction of the distal femur from stereo X-Ray imaging using statistical shape models
Baka, N., Kaptein, B. L., de Bruijne, Marleen, van Walsum, T., Giphart, J. E., Niessen, W. J. & Lelieveldt, B. P. F., 2011, I: Medical Image Analysis. 15, 6, s. 840-850 11 s.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › fagfællebedømt
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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
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3D+t/2D+t CTA-XA registration using population-based motion estimates
Baka, N., Metz, C. T., Schultz, C., Neefjes, L., van Geuns, R. J., Lelieveldt, B. P. F., Niessen, W. J., de Bruijne, Marleen & van Walsum, T., 2012, Proceedings, MICCAI-STENT'12: 1st MICCAI-Workshop on Computer Assisted Stenting . Demirci, L. & Radeva, U. (red.). MICCAI , s. 64-71 8 s.Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
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A Computer-based Measure Using Normalized Heights Predicts Vertebral Fracture Independent of BMD in Post-menopausal Women
A. Ghosh, de Bruijne, Marleen, C. Pettersen, M. A. Karsdal, D. J. Leeming, C. Christiansen, P. & Nielsen, Mads, 2008, I: Journal of Bone and Mineral Research. suppl. S, s. S333 1 s.Publikation: Bidrag til tidsskrift › Konferenceabstrakt i tidsskrift › fagfællebedømt
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A Computer-based Measure of Irregularity in Vertebral Alignment is a BMD-independent Predictor of Fracture Risk in Postmenopausal Women
Pettersen, P., de Bruijne, Marleen, Chen, J., He, Q., Christiansen, C. & Tankó, L. B., 2007, I: Osteoporosis International. 18, 11, s. 1525-1530Publikation: Bidrag til tidsskrift › Tidsskriftartikel › fagfællebedømt
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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
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A Family of Principal Component Analyses for Dealing with Outliers
Iglesias, J. E., de Bruijne, Marleen, Loog, M., Lauze, F. B. & Nielsen, Mads, 2007, Medical Image Computing and Computer-Assisted Intervention - MICCAI 2007: 10th International Conference, Brisbane, Australia, October 29- November 2, 2007, Proceedings, Part II. Ayache, N., Ourselin, S. & Maeder, A. (red.). Springer, s. 178-185 (Lecture notes in computer science; Nr. 4792).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
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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
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A bottom-up approach for labeling of human airway trees
Lo, P., van Rikxoort, E. M., Goldin, J., Abtin, F., de Bruijne, Marleen & Brown, M., 2011, The Fourth International Workshop on Pulmonary Image Analysis . Beichel, R., de Bruijne, M., Kabus, S., Kiraly, A., Kuhnigk, J-M., McClelland, J., Mori, K., van Rikxoort, E. & Rit, S. (red.). CreateSpace, s. 23-34 12 s.Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
A computer aided detection system for cerebral microbleeds in brain MRI
Ghafaryasl, B., van der Lijn, F., Poels, M., Vrooman, H., Ikram, M. A., Niessen, W. J., van der Lugt, A., Vernooij, M. & de Bruijne, Marleen, 2012, 2012 9th IEEE International Symposium on Biomedical Imaging: from nano to macro. IEEE, s. 138-141 4 s.Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
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A computer-aided diagnosis system for the early and differential diagnosis of neurodegenerative disease
Vrooman, H. A., Jasperse, M. M. S., Koek, M., Achterberg, F. V. D. L. A. H. C., de Bruijne, Marleen, Lugt, A. V. D. & Niessen, W. J., 2011, ECR Conference Proceedings 2011.Publikation: Bidrag til bog/antologi/rapport › Konferenceabstrakt i proceedings › Forskning › fagfællebedømt
- Udgivet
A computer-based measure of irregularity in the alignment of vertebrae in the lumbar spine is a BMD-independent predictor of fracture risk in postmenopausal women
Pettersen, P. C., de Bruijne, Marleen, Chen, J., He, Q., Christiansen, C. & Tankó, L. B., 2007, Abstracts of the 34th European symposium on calcified Tissues. Springer, s. S142 1 s. (Calcified Tissue International; Nr. Vol. 80 (suppl. 1)).Publikation: Bidrag til bog/antologi/rapport › Konferenceabstrakt i proceedings › Forskning › fagfællebedømt
A genome-wide association study identifies five loci influencing facial morphology in Europeans
Liu, F., van der Lijn, F., Schurmann, C., Zhu, G., Chakravarty, M. M., Hysi, P. G., Wollstein, A., Lao, O., de Bruijne, M., Ikram, M. A., van der Lugt, A., Rivadeneira, F., Uitterlinden, A. G., Hofman, A., Niessen, W. J., Homuth, G., de Zubicaray, G., McMahon, K. L., Thompson, P. M., Daboul, A. & 14 flere, , 2012, I: P L o S Genetics. 8, 9, 13 s., e1002932.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › fagfællebedømt
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A geometric framework for statistics on trees
Feragen, A., Nielsen, Mads, Hauberg, S., Lo, P. C. P., de Bruijne, Marleen & Lauze, Francois Bernard, 2011, Department of Computer Science, University of Copenhagen. 47 s. (Koebenhavns Universitet. Datalogisk Institut. Rapport; Nr. 11/02).Publikation: Bog/antologi/afhandling/rapport › Rapport
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A hierarchical scheme for geodesic anatomical labeling of airway trees
Feragen, A., Petersen, Jens, Owen, M., Lo, P. C. P., Thomsen, L., Wille, M. M. W., Dirksen, A. & de Bruijne, Marleen, 2012, Medical Image Computing and Computer-Assisted Intervention – MICCAI 2012: 15th International Conference, Nice, France, October 1-5, 2012, Proceedings, Part III. Ayache, N., Delingette, H., Golland, P. & Mori, K. (red.). Springer, s. 147-155 9 s. (Lecture notes in computer science, Bind 7512).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 longitudinal follow-up of COPD disease progression in a large cohort of smokers screened for early lung cancer: CBQ study
Ashraf, H., Edula, G., de Bruijne, Marleen, Nielsen, Mads, Dahlbäck, A. D. M. & Pedersen, J. H., 2009, I: American Journal of Respiratory and Critical Care Medicine. s. A1492 1 s.Publikation: Bidrag til tidsskrift › Konferenceabstrakt i tidsskrift › fagfællebedømt
A method of deriving a quantitative measure of a degree of calcification of an aorta
de Bruijne, Marleen, Nielsen, M., Christiansen, C., Conrad-Hansen, L. A. & Lauze, F. B., 2006, Patentnr. WO/2006/128729Publikation: Patent
A novel computer-based quantitative measurement of vertebral deformity in postmenopausal women: Implications for diagnosis and monitoring
de Bruijne, Marleen, Pettersen, P. C., Lund, M. T., Alexandersen, P., Tankó, L. B., Nielsen, M. & Christiansen, C., 2006, Abstracts of the 28th Annual Meeting of the American Society for Bone and Mineral Research. ASMBRPublikation: Bidrag til bog/antologi/rapport › Konferenceabstrakt i proceedings › Forskning › fagfællebedømt
A pattern classification approach to aorta calcium scoring in radiographs
de Bruijne, Marleen, 2005, Computer Vision for Biomedical Image Applications: ICCV workshop: Computer Vision for Biomedical Image Applications: Current Techniques and Future Trends. <Forlag uden navn>, s. 170-177 (Lecture notes in computer science, Bind 3765/2005).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
A pixelwise inpainting-based refinement scheme for quantizing calcification in the lumbar aorta on 2D lateral x-ray images
Conrad-Hansen, L., de Bruijne, Marleen, Lauze, F., Tankó, L. B. & Nielsen, M., 2006, Medical Imaging: Image Processing. Pluim, J. P. W. & Reinhardt, J. M. (red.). (Proceedings of SPIE; Nr. 6144).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
A texton-based approach for the classification of lung parenchyma in CT images
Gangeh, M. J., Sørensen, L., Shaker, S. B., Kamel, M. S., de Bruijne, Marleen & Loog, M., 2010, Medical Image Computing and Computer-Assisted Intervention - MICCAI 2010: 13th International Conference, Beijing, China, September 20-24, 2010, Proceedings, Part III. Jiang, T., Navab, N., Pluim, J. P. W. & Viergever, M. A. (red.). Springer, Bind Part III. s. 595-602 8 s. (Lecture notes in computer science; Nr. 6363).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
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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. (red.). Springer, s. 49-56 8 s. (Lecture notes in computer science, Bind 8184).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- 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
Active shape model based segmentation of abdominal aortic aneurysms in CTA images
de Bruijne, Marleen, van Ginneken, B., Niessen, W., Maintz, J. & Viergever, M., 2002, MEDICAL IMAGING 2002: IMAGE PROCESSING, VOL 1-3. Bind 4684. s. 463-474Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
Adapting Active Shape Models for 3D Segmentation of Tubular Structures in Medical Images
de Bruijne, Marleen, van Ginneken, B., Viergever, M. A. & Niessen, W. J., 2003, Information Processing in Medical Imaging: 18th International Conference, IPMI 2003. Ambleside, UK, July 20- 25, 2003. Proceedings. <Forlag uden navn>, s. 136-147 (Lecture notes in computer science, Bind 2732/2003).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- 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
Air trapping in cystic fibrosis (CF) evaluated using ultra low dose computed tomography (CT): implications for sample size in clinical studies
Loeve, M., Lequin, M. H., de Bruijne, Marleen, Hartmann, I. J., Hop, W. C. & Tiddens, H. A. W. M., 2008.Publikation: Konferencebidrag › Konferenceabstrakt til konference › Forskning › fagfællebedømt
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Airway Tree Extraction with Locally Optimal Paths
Lo, P. C. P., Sporring, Jon, Pedersen, J. J. H. & de Bruijne, Marleen, 2009, MICCAI 2009. s. 51-58 8 s.Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
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Airway distensibility in chronic obstructive pulmonary disease – evaluation by CT airway segmentation and lung density measurement based on the Danish lung cancer screening trial
M. W. Wille, M., Petersen, Jens, Dirksen, A., Pedersen, J. J. H. & de Bruijne, Marleen, 2013, I: American Journal of Respiratory and Critical Care Medicine. 187, s. A2871 1 s.Publikation: Bidrag til tidsskrift › Konferenceabstrakt i tidsskrift › 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
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
An airway tree-shape model for geodesic airway branch labeling
Feragen, A., Lo, P. C. P., Gorbunova, V., Nielsen, Mads, Dirksen, A., Reinhardt, J. M., Lauze, Francois Bernard & de Bruijne, Marleen, 2011, MFCA 2011: 3rd MICCAI Workshop on Mathematical Foundations of Computational Anatomy. Pennec, X., Joshi, S. & Nielsen, M. (red.). s. 123-134 12 s.Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
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An automatic system for segmentation, matching, anatomical labeling and measurement of airways from CT images
Petersen, Jens, Feragen, A., Owen, M., Lo, P., Wille, M. M. W., Thomsen, L. H., Dirksen, A. & de Bruijne, Marleen, 2013. 1 s.Publikation: Konferencebidrag › Poster › Forskning › 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
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
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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
Asymmetric similarity-weighted ensembles for image segmentation
Cheplygina, V., Van Opbroek, A., Ikram, M. A., Vernooij, M. W. & de Bruijne, Marleen, 2016, 2016 IEEE International Symposium on Biomedical Imaging: from Nano to Macro. IEEE, s. 273-277 5 s.Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
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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, I: PLoS ONE. 9, 4, 14 s., e94840.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › fagfællebedømt
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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
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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
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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
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Automated Quantification of the Morphological Atherosclerotic Calcification Distribution on X-Rays Is a Strong Predictor of Mortality in Postmenopausal Women
Christiansen, C., Karsdal, M., Lauze, Francois Bernard, Dam, E., Ganz, Melanie, de Bruijne, Marleen, Sørensen, M., Barascuk, N. & Nielsen, Mads, 2008, I: Arteriosclerosis, Thrombosis, and Vascular Biology. 6, s. e48-e48 1 s.Publikation: Bidrag til tidsskrift › Konferenceabstrakt i tidsskrift › fagfællebedømt
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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
Automated Segmentation of Abdominal Aortic Aneurysms in Multi-spectral MR Images
de Bruijne, Marleen, van Ginneken, B., Bartels, L. W., van der Laan, M. J., Blankensteijn, J. D., Niessen, W. J. & Viergever, M. A., 2003, Medical Image Computing and Computer-Assisted Intervention - MICCAI. <Forlag uden navn>, s. 538-545 (Lecture notes in computer science, Bind 2879/2003).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
Automated brain structure segmentation based on atlas registration and appearance models
van der Lijn, F., de Bruijne, Marleen, Klein, S., den Heijer, T., Hoogendam, Y. Y., van der Lugt, A., Breteler, M. M. B. & Niessen, W. J., 2012, I: IEEE Transactions on Medical Imaging. 31, 2, s. 276-286 11 s.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › fagfællebedømt
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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 s. (The MIDAS Journal).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning
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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
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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. (red.). SPIE - International Society for Optical Engineering, 10 s. 867009. (Proceedings of S P I E - International Society for Optical Engineering, Bind 8670).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
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Automated measurement of local white matter lesion volume
van der Lijn, F., Verhaaren, B. F. J., Ikram, M. A., Klein, S., de Bruijne, Marleen, Vrooman, H. A., Vernooij, M. W., Hammers, A., Rueckert, D., van der Lugt, A., Breteler, M. M. B. & Niessen, W. J., 2012, I: NeuroImage. 59, 4, s. 3901-3908 8 s.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › fagfællebedømt
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Automated quantification of bronchiectasis, airway wall thickening and lumen tapering in chest CT
Perez-Rovira, A., Kuo, W., Petersen, Jens, A.W.M. Tiddens, H. & de Bruijne, Marleen, 2015. 1 s.Publikation: Konferencebidrag › Konferenceabstrakt til konference › 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
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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, I: Journal of Pathology Informatics. 4, 7 s., 3.Publikation: 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
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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
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Automatic airway-artery analysis on lung CT to quantify airway wall thickening and bronchiectasis
Perez-Rovira, A., Kuo, W., Petersen, Jens, Tiddens, H. A. W. M. & de Bruijne, Marleen, 2016, I: Medical Physics. 43, 10, s. 5736-5744 9 s.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › fagfællebedømt
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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
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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
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Bicycle Chain Shape Models
Sommer, Stefan Horst, Tatu, A. J., Chen, C., Jørgensen, D., de Bruijne, Marleen, Loog, M., Nielsen, Mads & Lauze, Francois Bernard, 2009, Computer Vision and Pattern Recognition Workshops, 2009. CVPR Workshops 2009. IEEE Computer Society Conference on Computer Vision and Pattern Recognition.. IEEE, s. 157-163 7 s.Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
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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
CT scores are predictive of survival in CF patients awaiting lung transplantation
Loeve, M., Hop, W. C. J., de Bruijne, Marleen, van Hal, P. T. W., Robinson, P., Aitken, M. L., Dodd, J. D. & Tiddens, H. A. W. M., 2012, I: Journal of Heart and Lung Transplantation. 31, 4, Supplement, s. s244 1 s., 713.Publikation: Bidrag til tidsskrift › Konferenceabstrakt i tidsskrift › fagfællebedømt
CT scores correlate with survival in cystic fibrosis patients awaiting lung transplantation
Loeve, M., Hal, P. V., Robinson, P., Aitkin, M., de Bruijne, Marleen, Hop, W., Tiddens , H. A. W. M. & CT CFS Study Group, 2011, I: Journal of Cystic Fibrosis. 10, Supplement 1, s. S58 1 s., 227.Publikation: Bidrag til tidsskrift › Konferenceabstrakt i tidsskrift › fagfællebedømt
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Can the distance from lung top to diaphragm on CT scans be used to estimate the lung inflation level for in- and expiratory CT and MRI protocols?
Loeve, M., Lequin, M., de Bruijne, Marleen, Hartmann, I., Hop, W. & Tiddens, H., 2008, I: Pediatric Radiology. suppl. 3, s. S574 1 s.Publikation: Bidrag til tidsskrift › Konferenceabstrakt i tidsskrift › fagfællebedømt
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Carotid artery lumen segmentation in 3D free-hand ultrasound images using surface graph cuts
Lorza, A. M. A., Carvalho, D. D. B., Petersen, Jens, Dijk, A. C. V., Lugt, A. V. D., Niessen, W. J., Klein, S. & de Bruijne, Marleen, 2013, Medical Image Computing and Computer-Assisted Intervention – MICCAI 2013: 16th International Conference, Nagoya, Japan, September 22-26, 2013, Proceedings, Part II. Mori, K., Sakuma, I., Sato, Y., Barillot, C. & Navab, N. (red.). Springer, s. 542-549 8 s. (Lecture notes in computer science, Bind 8150).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
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Carotid artery wall segmentation by coupled surface graph cuts
Arias, A., Petersen, Jens, van Engelen, A., Tang, H., Selwaness, M., Witteman, J. C. M., van der Lugt, A., Niessen, W. & de Bruijne, Marleen, 2013, Medical Computer Vision. Recognition techniques and applications in medical imaging: Second International MICCAI Workshop, MCV 2012, Nice, France, Revised Selected Papers. Menze, B. H., Langs, G., Lu, L., Montillo, A., Tu, Z. & Criminisi, A. (red.). Springer, s. 38-47 10 s. (Lecture notes in computer science, Bind 7766).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
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Carotid artery wall segmentation in multispectral MRI by coupled optimal surface graph cuts
Arias-Lorza, A. M., Petersen, Jens, van Engelen, A., Selwaness, M., van der Lugt, A., J. Niessen, W. & de Bruijne, Marleen, 2016, I: IEEE Transactions on Medical Imaging. 35, 3, s. 901-911 11 s.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › fagfællebedømt
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Cerebellum segmentation in MRI using atlas registration and local multi-scale image descriptors
van der Lijn, F., de Bruijne, Marleen, Hoogendam, Y. Y., Klein, S., Hameeteman, R., Breteler, M. & Niessen, W., 2009, IEEE International Symposium on Biomedical Imaging (ISBI'09): From Nano to Macro. s. 221-224 4 s. (Uden navn).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
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Change in Smoking Habits Affects Lung Density by CT
Ashraf, H., Lo, P., Shaker, S. B., de Bruijne, Marleen, Tønnesen, A. D. P., Dahlbäck, M. & Pedersen, J. H., 2009, American Thoracic Society International Conference. s. A5573 1 s. (American Journal of Respiratory and Critical Care Medicine; Nr. 1, Bind 179).Publikation: Bidrag til bog/antologi/rapport › Konferenceabstrakt i proceedings › Forskning › fagfællebedømt
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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
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Chest computed tomography: a validated surrogate endpoint of cystic fibrosis lung disease?
Loeve, M., Krestin, G. P., Rosenfeld, M., de Bruijne, Marleen, Stick, S. M. & Tiddens, H. A., 2013, I: European Respiratory Journal. 42, 3, s. 844-857 14 s.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › fagfællebedømt
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Chest computed tomography scores are predictive of survival in patients with cystic fibrosis awaiting lung transplantation
Loeve, M., Hop, W. C. J., de Bruijne, Marleen, van Hal, P. T. W., Robinson, P., Aitken, M. L., Dodd, J. D. & Tiddens, H. A. W. M., 2012, I: American Journal of Respiratory and Critical Care Medicine. 185, 10, s. 1096–1103 8 s.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › fagfællebedømt
Chest-CT protocol standardization for multicentre trial in cystic fibrosis (CF) infants
Ciet, P., Graniel, K. G., Stick, S., de Bruijne, Marleen, Tiddens, H. & Straten, M. V., 2013, I: Insights into Imaging. 4, Supplement 1, 1 s., B-0737.Publikation: Bidrag til tidsskrift › Konferenceabstrakt i tidsskrift › fagfællebedømt
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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
Cine-MRI as a New Tool to Evaluate Diaphragmatic Dysfunction in Pompe Disease
Wens, S. C., Ciet, P., Perez-Rovira, A., Logie, K., Salamon, E., Wielopolski, P., de Bruijne, Marleen, Kruijshaar, M. E., Tiddens, H. W., van der Beek, N. A. M. E., van Doorn, P. A. & van der Ploeg, A. T., 2015, I: Neuromuscular Disorders. 2, s1, s. S57Publikation: Bidrag til tidsskrift › Konferenceabstrakt i tidsskrift › fagfællebedømt
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Classification of COPD with multiple instance learning
Cheplygina, V., Sørensen, L. E. B. L., Tax, D., Pedersen, J. J. H., Loog, M. & de Bruijne, Marleen, 2014, 22nd International Conference on Pattern Recognition (ICPR) 2014. IEEE, s. 1508-1513 6 s. (International Conference on Pattern Recognition).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
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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
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Combining generative and discriminative representation learning for lung CT analysis with convolutional restricted Boltzmann machines
van Tulder, G. & de Bruijne, Marleen, 2016, I: IEEE Transactions on Medical Imaging. 35, 5, s. 1262-1272 11 s.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › fagfællebedømt
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Comparing inspiratory and expiratory computed tomography protocols for monitoring mild CF lung disease
Loeve, M., Lequin, M. H., de Bruijne, Marleen, Hartmann, I. J., Hop, W. C. & Tiddens, H. A., 2008, 45th Annual Meeting of the European Society of Paediatric Radiology.Publikation: Bidrag til bog/antologi/rapport › Konferenceabstrakt i proceedings › Forskning › fagfællebedømt
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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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Comparison of shape regression methods under landmark position uncertainty
Baka, N., Metz, C., Schaap, M., Lelieveldt, B., Niessen, W. & de Bruijne, Marleen, 2011, Medical Image Computing and Computer-Assisted Intervention – MICCAI 2011: 14th International Conference, Toronto, Canada, September 18-22, 2011, Proceedings, Part II. Fichtinger, G., Martel, A. & Peters, T. (red.). Springer, Bind Part II. s. 434-441 8 s. (Lecture notes in computer science, Bind 6892).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
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Computer based measure of kyphosis predicts fractures in the thoracic spine of postmenopausal women
Pettersen, P. C., de Bruijne, Marleen, Chen, J., He, Q., Tankó, L. B. & Christiansen, C., 2007, Abstracts of the 29th annual meeting of the American society for bone and mineral research. ASBMR, 1 s.Publikation: Bidrag til bog/antologi/rapport › Konferenceabstrakt i proceedings › Forskning › fagfællebedømt
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Conditional shape models for cardiac motion estimation
Metz, C., Baka, N., Kirisli, H., Schaap, M., van Walsum, T., Klein, S., Neefjes, L., Mollet, N., Lelieveldt, B., de Bruijne, Marleen & Niessen, W., 2010, Medical Image Computing and Computer-Assisted Intervention - MICCAI 2010: 13th International Conference, Beijing, China, September 20-24, 2010, Proceedings, Part I. Jiang, T., Navab, N., Pluim, J. P. W. & Viergever, M. A. (red.). Springer, Bind Part I. s. 452-459 8 s. (Lecture notes in computer science; Nr. 6361).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
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Confidence of model based shape reconstruction from sparse data
Baka, N., de Bruijne, Marleen, Reiber, J. H. C., Niessen, W. & Lelieveldt, B. P. F., 2010, 2010 IEEE International Symposium on Biomedical Imaging: from nano to macro. IEEE, s. 1077-1080 4 s.Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
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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
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Correction of quantitative emphysema measures with density calibration based on measurements in the trachea
Mol, C., Ginneken, B. V., de Bruijne, Marleen, Jong, P., Oudkerk, M., Dirksen, A. & Zanen, P., 2010.Publikation: Konferencebidrag › Konferenceabstrakt til konference › Forskning › fagfællebedømt
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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
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Crowdsourced emphysema assessment
Ørting, S. N., Cheplygina, V., Petersen, Jens, Thomsen, L. H., Wille, M. M. W. & de Bruijne, Marleen, 2017, Intravascular Imaging and Computer Assisted Stenting, and Large-Scale Annotation of Biomedical Data and Expert Label Synthesis: 6th Joint International Workshops, CVII-STENT 2017 and Second International Workshop, LABELS 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, September 10–14, 2017, Proceedings. Cardoso, M. J., Arbel, T., Lee, S-L., Cheplygina, V., Balocco, S., Mateus, D., Zahnd, G., Maier-Hein, L., Dermirci, S., Granger, E., Duong, L., Carbonneau, M-A., Albarquoni, S. & Carneiro, G. (red.). Springer, s. 126-135 10 s. (Lecture notes in computer science, Bind 10552).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
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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
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Current density profiles measured with multi-position tangential Thomson scattering in the RTP tokamak
Karelse, F. A., de Bruijne, Marleen, Beurskens, M. N. A., Barth, C. J., Hogeweij, G. M. D., Cardozo, N. J. L., Meiden, H. J. V. D., Pijper, F. J. & RTP-team, T., 1 jun. 1997, Proceedings of the 24th EPS Conference on Controlled Fusion and Plasma Physics. Schittenhelm, M., Bartiromo, R. & Wagner, F. (red.). Bind 21A Part II. s. 621-624 4 s.Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
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Curve- and Surface-based Registration of Lung CT images via Currents
Gorbunova, V., Durrleman, S., Lo, P., Pennec, X. & de Bruijne, Marleen, 2009, The Second International Workshop on Pulmonary Image Analysis. Brown, M., de Bruijne, M., van Ginneken, B., Kiraly, A., Kuhnigk, J-M., Lorenz, C., McClelland, J. R., Mori, K., Reeves, A. & Reinhardt, J. M. (red.). CreateSpace, s. 15-25 11 s.Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
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Cystic Fibrosis: Are Volumetric Ultra-Low-Dose Expiratory CT Scans Sufficient for Monitoring Related Lung Disease?
Loeve, M., Lequin, M. H., de Bruijne, Marleen, Hartmann, I. C., Gerbrands, K., Straten, M. V., Hop, W. J. & Tiddens, H. A. W. M., 2009, I: Radiology. 253, s. 223 229 s.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › fagfællebedømt
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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
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Decline in lung density is accelerated in active smokers
Shaker, S. B., Dirksen, A., Lo, P. C. P., Skovgaard, Lene Theil, de Bruijne, Marleen & Pedersen, J. J. H., 2011. 1 s.Publikation: Konferencebidrag › Konferenceabstrakt til konference › Forskning › fagfællebedømt
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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
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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
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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
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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
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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
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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
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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
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