Marleen de Bruijne

Publikation

Publikationer pr. år 1997 2007 2008 2009 2010 2011 2012 2013 2015 2016 2018 2019 2020

• 117 Konferencebidrag i proceedings
• 93 Tidsskriftartikel
• 19 Konferenceabstrakt i tidsskrift
• 17 Konferenceabstrakt til konference
• 44 Mere
  • 13 Patent
  • 10 Konferenceabstrakt i proceedings
  • 5 Antologi
  • 4 Bidrag til bog/antologi
  • 3 Poster
  • 2 Leder
  • 1 Bog
  • 1 Rapport
  • 1 Ph.d.-afhandling
  • 1 Paper
  • 1 Mødereferat
  • 1 Kommentar/debat
  • 1 Review

Publikationer pr. år

Publikationer pr. år

Søgeresultater

• 2020

  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, Z., Hoseinnezhad, R., de Bruijne, M. & Bab-Hadiashar, A., apr. 2020, I: IEEE Transactions on Medical Imaging.

  Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review

  • Pathology 100%
  • Image classification 93%
  • Learning 64%
  • Graphics processing unit 40%
  • Convolutional neural networks 40%
  1 Citationer (Scopus)

• 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, K. F., Pedersen, J. H., Saghir, Z., Takkenberg, J. J. M., Kardys, I., Budde, R. P. J., de Bruijne, M. & Roos-Hesselink, J. W., 15 jan. 2020, I: International Journal of Cardiology.

  Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review

  • Thoracic Aorta 100%
  • Early Detection of Cancer 95%
  • Lung Neoplasms 79%
  • Smoking 72%
  • Growth 50%
  1 Citationer (Scopus)

• Learning to quantify emphysema extent: What labels do we need?

  Orting, S. N., Petersen, J., Thomsen, L. H., Winkler Wille, M. M. & Bruijne, M. D., apr. 2020, I: IEEE Journal of Biomedical and Health Informatics.

  Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review

  • Emphysema 100%
  • Labels 75%
  • Learning 65%
  • Computerized tomography 36%
  • Classifiers 31%
  1 Citationer (Scopus)

• 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, M., mar. 2020, I: IEEE Journal of Biomedical and Health Informatics.

  Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review

  • Splines 100%
  • Hippocampus 82%
  • Linear Models 53%
  • Magnetic resonance 35%
  • Sample Size 30%
• 2019

  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, M., jan. 2019, I: Medical Image Analysis. 51, s. 89-100

  Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review

  • Glymphatic System 100%
  • Magnetic resonance imaging 66%
  • Basal Ganglia 64%
  • Brain 52%
  • Cerebral Small Vessel Diseases 46%
  12 Citationer (Scopus)

• A Cross-Center Smoothness Prior for Variational Bayesian Brain Tissue Segmentation

  Kouw, W. M., Ørting, S. N., Petersen, J., Pedersen, K. S. & de Bruijne, M., 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 Verlag, s. 360-371 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 › peer review

  • Tissue 100%
  • Brain 97%
  • Classifiers 55%
  3 Citationer (Scopus)

• A joint 3D UNet-Graph Neural Network-based method for Airway Segmentation from chest CTs

  Juarez, A. G-U., Selvan, R., Saghir, Z. & Bruijne, M. D., 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

  Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › peer review

  • Convolution 100%
  • Neural networks 82%
  • Computerized tomography 41%
  • Screening 31%
  • Deep learning 30%
  7 Citationer (Scopus)

• 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, K. F., Pedersen, J. H., Roos-Hesselink, J. W. & de Bruijne, M., 1 sep. 2019, I: European Radiology. 29, 9, s. 4613-4623

  Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review

  • Thoracic Aorta 100%
  • Aorta 87%
  • Tomography 68%
  • Atlases 17%
  • Seeds 17%
  5 Citationer (Scopus)

• 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, M., 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 › peer review

  • Neural networks 100%
  • Magnetic resonance imaging 69%
  • Convolutional neural networks 60%
  • Brain 54%
  3 Citationer (Scopus)

• 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, M., 1 jan. 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 › peer review

  • Magnetic resonance imaging 100%
  • Brain 78%
  • Amyloid 40%
  • Neural networks 28%
  • Tuning 18%

• Deep Multi-instance Volumetric Image Classification with Extreme Value Distributions

  Tennakoon, R., Gostar, A. K., Hoseinnezhad, R., de-Bruijne, M. & 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 › peer review

  • Pathology 100%
  • Image classification 93%
  • Deep neural networks 85%
  • Convolutional neural networks 80%
  • Medical imaging 49%

• 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, M., 2019, I: NeuroImage. 185, s. 534-544

  Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review

  • Glymphatic System 100%
  • Cerebral Small Vessel Diseases 46%
  • Epidemiologic Studies 26%
  • Clinical Studies 21%
  • Deep Learning 21%
  22 Citationer (Scopus)

  34 Downloads (Pure)

• Event-Based Modeling with High-Dimensional Imaging Biomarkers for Estimating Spatial Progression of Dementia

  for the Alzheimer’s Disease Neuroimaging Initiative, 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 › peer review

  • Biomarkers 100%
  • Imaging techniques 61%
  • Brain 22%
  • Support vector machines 21%
  • Neuroimaging 17%
  2 Citationer (Scopus)

• Extracting tree structures in CT data by tracking multiple statistically ranked hypotheses

  Selvan, R., Petersen, J., Pedersen, J. H. & de Bruijne, M., 1 okt. 2019, I: Medical Physics. 46, 10, s. 4431-4440

  Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review

  • Seeds 100%
  • Coronary Vessels 80%
  • Thorax 67%
  • Tomography 66%
  1 Citationer (Scopus)

• Genetic landscape of chronic obstructive pulmonary disease identifies heterogeneous cell-type and phenotype associations

  SpiroMeta Consortium, International COPD Genetics Consortium & Understanding Society Scientific Group, 2019, I: Nature Genetics. 51, 3, s. 494-505

  Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review

  • Chronic Obstructive Pulmonary Disease 100%
  • Phenotype 67%
  • Genetic Loci 39%
  • Lung 34%
  • Genetic Heterogeneity 18%
  60 Citationer (Scopus)

• Gray Matter Age Prediction as a Biomarker for Risk of Dementia

  Wang, J., Knol, M. J., Tiulpin, A., Dubost, F., de Bruijne, M., 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. 21213-21218 6 s.

  Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review

  • Gray Matter 100%
  • Dementia 82%
  • Biomarkers 64%
  • Brain 32%
  • Deep Learning 22%
  20 Citationer (Scopus)

• Grey Matter Age Prediction as a Biomarker for Risk of Dementia: A Population-based Study

  Wang, J., Knol, M., Tiulpin, A., Dubost, F., Bruijne, M. D., Vernooij, M., Adams, H., Ikram, M. A., Niessen, W. & Roshchupkin, G., 2019, I: bioRxiv. s. 518506

  Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning

  • Gray Matter 100%
  • Dementia 82%
  • Biomarkers 64%
  • Population 38%
  • Brain 33%

• Hydranet: Data augmentation for regression neural networks

  Dubost, F., Bortsova, G., Adams, H., Ikram, M. A., Niessen, W., Vernooij, M. & de Bruijne, M., 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 › peer review

  • Labels 100%
  • Neural networks 71%
  • Labeled data 69%
  • Image analysis 56%
  • Deep learning 52%

• Increasing Accuracy of Optimal Surfaces Using Min-marginal Energies

  Petersen, J., Arias-Lorza, A. M., Selvan, R., Bos, D., van der Lugt, A., Pedersen, J. H., Nielsen, M. & de Bruijne, M., jul. 2019, I: IEEE Transactions on Medical Imaging. 38, 7, s. 1559-1568 8599009.

  Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review

  • Memory 100%
  • Diagnostic Imaging 94%
  • Uncertainty 83%
  • Medical imaging 77%
  • Data storage equipment 62%
  1 Citationer (Scopus)

• Learning Cross-Modality Representations from Multi-Modal Images

  van Tulder, G. & de Bruijne, M., feb. 2019, I: IEEE Transactions on Medical Imaging. 38, 2, s. 638-648

  Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review

  • Learning 100%
  • Magnetic resonance imaging 95%
  • Machine Learning 51%
  • Tumors 46%
  • Brain Neoplasms 42%
  17 Citationer (Scopus)

  58 Downloads (Pure)

• Multi-task Attention-Based Semi-supervised Learning for Medical Image Segmentation

  Chen, S., Bortsova, G., Juárez, A. G. U., van Tulder, G. & de Bruijne, M., 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 › peer review

  • Ablation 100%
  • Semi-supervised learning 99%
  • Tumors 83%
  • Image segmentation 77%
  • Brain 67%
  14 Citationer (Scopus)

• Not-so-supervised: A survey of semi-supervised, multi-instance, and transfer learning in medical image analysis

  Cheplygina, V., de Bruijne, M. & Pluim, J. P. W., maj 2019, I: Medical Image Analysis. 54, s. 280-296 17 s.

  Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review

  • Transfer learning 100%
  • Medical imaging 95%
  • Machine Learning 95%
  • Diagnostic Imaging 87%
  • Image analysis 80%
  132 Citationer (Scopus)

• Reference values and variation of acetabular angles measured by computed tomography in 170 asymptomatic hips

  Mechlenburg, I., Stilling, M., Rømer, L., de Bruijne, M., Søballe, K. & de Raedt, S., 1 jul. 2019, I: Acta Radiologica. 60, 7, s. 895–901

  Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review

  • Hip 100%
  • Reference Values 96%
  • Tomography 82%
  • Radiologists 22%
  • Lymphoma 20%

• Semi-supervised Medical Image Segmentation via Learning Consistency Under Transformations

  Bortsova, G., Dubost, F., Hogeweg, L., Katramados, I. & de Bruijne, M., 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 › peer review

  • Supervised learning 100%
  • Image segmentation 89%
  • Labeled data 55%
  • Elastic deformation 53%
  • X rays 42%
  13 Citationer (Scopus)

• 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, M., Aliverti, A., Pennati, F., Ivanovska, T., Tiddens, H. A. W. M. & Ciet, P., 1 jun. 2019, I: European Radiology. 29, 6, s. 2770–2782

  Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review

  • Data Analysis 100%
  • Thorax 92%
  • Cohort Studies 91%
  • Pediatrics 86%
  • Lung 71%
  3 Citationer (Scopus)

  17 Downloads (Pure)

• 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, M. & de Bruijne, M., 2019, I: Neurobiology of Aging. 81, s. 58-66

  Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review

  • Dementia 100%
  • Cognitive Dysfunction 49%
  • Population 46%
  • Magnetic Resonance Imaging 39%
  • ROC Curve 25%
  5 Citationer (Scopus)

  16 Downloads (Pure)

• Transfer Learning by Asymmetric Image Weighting for Segmentation across Scanners

  Cheplygina, V., Opbroek, A. V., Ikram, M. A., Vernooij, M. W. & Bruijne, M. D., 2019, (Afsendt) I: arXiv.org. 17 s.

  Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning

  • Transfer learning 100%
  • Classifiers 59%
  • Scanning 32%
  • Labeled data 24%
  • Supervised learning 22%
  3 Downloads (Pure)

• Transfer Learning for Image Segmentation by Combining Image Weighting and Kernel Learning

  van Opbroek, A., Achterberg, H. C., Vernooij, M. W. & de Bruijne, M., jan. 2019, I: IEEE Transactions on Medical Imaging. 38, 1, s. 213-224 8419778.

  Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review

  • Transfer learning 100%
  • Machine Learning 95%
  • Image segmentation 79%
  • Tissue 71%
  • Brain 69%
  28 Citationer (Scopus)

  162 Downloads (Pure)
• 2018

  An End-to-end Approach to Semantic Segmentation with 3D CNN and Posterior-CRF in Medical Images

  Chen, S. & Bruijne, M. D., 8 nov. 2018. 4 s.

  Publikation: Konferencebidrag › Paper › Forskning

  • Semantics 100%
  • Experiments 52%

• 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, M., 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 › peer review

  • Pulmonary Artery 100%
  • Aorta 95%
  • Costs and Cost Analysis 34%
  • Seeds 27%
  • Early Detection of Cancer 25%
  1 Citationer (Scopus)

• Automatic airway segmentation in chest CT using convolutional neural networks

  Juarez, A. G. U., Tiddens, H. A. W. M. & de Bruijne, M., 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 › peer review

  • Tomography 100%
  • Convolutional neural networks 94%
  • Pulmonary diseases 23%
  • Deep neural networks 16%
  13 Citationer (Scopus)

• 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, M., okt. 2018, I: PLoS ONE. 13, 10, s. 1-16 e0205397.

  Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review

  • Computed Tomography 100%
  • Lung 92%
  • computed tomography 89%
  • automatic detection 86%
  • High Resolution 85%
  6 Citationer (Scopus)

  44 Downloads (Pure)

• Cooperative carotid artery centerline extraction in MRI

  Arias-Lorza, A. M., Bos, D., van der Lugt, A. & de Bruijne, M., maj 2018, I: PLOS ONE. 13, 5, 16 s., e0197180.

  Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review

  • Arteries 100%
  • carotid arteries 89%
  • Magnetic resonance imaging 75%
  • cooperatives 72%
  • arteries 71%
  1 Citationer (Scopus)

  56 Downloads (Pure)

• Deep Learning from Label Proportions for Emphysema Quantification

  Bortsova, G., Dubost, F., Ørting, S., Katramados, I., Hogeweg, L., Thomsen, L., Wille, M. & de Bruijne, M., 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 › peer review

  • Deep learning 100%
  • Tissue 95%
  • Labels 95%
  • Spatial distribution 41%
  5 Citationer (Scopus)

• Detecting emphysema with multiple instance learning

  Orting, S. N., Petersen, J., Thomsen, L. H., Wille, M. M. W. & De Bruijne, M., 23 maj 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging, ISBI 2018. IEEE, s. 510-513

  Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › peer review

  • Emphysema 100%
  • Learning 65%
  • Area Under Curve 36%
  • Machine Learning 25%
  • Early Detection of Cancer 21%
  4 Citationer (Scopus)

• Extraction of Airways using Graph Neural Networks

  Raghavendra, S., Kipf, T., Welling, M., Pedersen, J. J. H., Petersen, J. & de Bruijne, M., 2018. 3 s.

  Publikation: Konferencebidrag › Konferenceabstrakt til konference › Forskning › peer review

  • Computerized tomography 100%
  • Neural networks 98%

• Feature Learning Based on Visual Similarity Triplets in Medical Image Analysis: A Case Study of Emphysema in Chest CT Scans

  Nyboe Ørting, S., Petersen, J., Cheplygina, V., Thomsen, L. H., Wille, M. M. W. & De Bruijne, M., 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 › peer review

  • Computerized tomography 100%
  • Image analysis 77%
  • Convolutional neural networks 73%
  • Pathology 23%

• 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, M., 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 › peer review

  • Neuromuscular Diseases 100%
  • Respiratory Muscles 97%
  • Diaphragm 34%
  • Respiratory Function Tests 12%
  • Fluoroscopy 12%
  13 Citationer (Scopus)

• LONGITUDINAL ASSESSMENT OF CT REGIONS OF LOW ATTENUATION REVERSIBILITY IN YOUNG CHILDREN WITH CYSTIC FIBROSIS

  Mok, L., Andrinopoulou, E., De Bruijne, M., Tiddens, H., Stick, S. & Rosenow, T., 2018, I: Respirology. 23, Suppl. 1/SI, s. 57-57 TO 069.

  Publikation: Bidrag til tidsskrift › Mødereferat

• Maximization of regional probabilities using Optimal Surface Graphs: application to carotid artery segmentation in MRI

  Arias Lorza, A. M., Van Engelen, A., Petersen, J., Van Der Lugt, A. & De Bruijne, M., 1 mar. 2018, I: Medical Physics. 45, 3, s. 1159-1169

  Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review

  • Carotid Arteries 100%
  • Support Vector Machine 11%
  • Magnetic Resonance Spectroscopy 7%
  • Arteries 6%
  4 Citationer (Scopus)

  49 Downloads (Pure)

• Mean Field Network Based Graph Refinement with Application to Airway Tree Extraction

  Raghavendra, S., Welling, M., Pedersen, J. J. H., Petersen, J. & de Bruijne, M., 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 › peer review

  • Classifiers 100%
  • Backpropagation 66%
  • Neural networks 42%
  3 Citationer (Scopus)

• Quantification of Lung Abnormalities in Cystic Fibrosis using Deep Networks

  Marques, F., Dubost, F., Corput, M. K. D., Tiddens, H. A. W. & Bruijne, M. D., 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).

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  • Random forests 100%
  • Tissue 80%
  • Computerized tomography 58%
  • Neural networks 57%
  • Convolutional neural networks 43%
  3 Citationer (Scopus)

• 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, M. & Søballe, K., 2018, I: International Journal of Computer Assisted Radiology and Surgery. 13, 12, s. 2021-2028 8 s.

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  • Angle measurement 100%
  • Osteotomy 84%
  • Pressure 53%
  • Tomography 39%
  • Navigation 31%
  4 Citationer (Scopus)

• 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, M., 2018, I: NeuroImage: Clinical. 20, s. 466-475 10 s.

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  • Machine Learning 100%
  • Atlases 95%
  • Hippocampus 70%
  • Datasets 70%
  • Brain 43%
  2 Citationer (Scopus)

  41 Downloads (Pure)

• 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, M., sep. 2018, I: IEEE Journal of Biomedical and Health Informatics. 22, 5, s. 1486 - 1496

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  • Pulmonary diseases 100%
  • Transfer learning 87%
  • Machine Learning 83%
  • Chronic Obstructive Pulmonary Disease 65%
  • Textures 35%
  24 Citationer (Scopus)

  60 Downloads (Pure)
• 2017

  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, M. & Klein, S., 1 jan. 2017, I: Ultrasound in Medicine & Biology. 43, 1, s. 273–285 13 s.

  Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review

  • lumens 100%
  • arteries 89%
  • Carotid Arteries 77%
  • magnetic resonance 72%
  • Magnetic Resonance Imaging 52%
  2 Citationer (Scopus)

• 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, M., 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.

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  • Carotid Arteries 100%
  • Magnetic Resonance Spectroscopy 86%
  • Tomography 69%
  • Stroke 38%
  • Carotid Artery Diseases 13%
  8 Citationer (Scopus)

  76 Downloads (Pure)

• Crowdsourced emphysema assessment

  Ørting, S. N., Cheplygina, V., Petersen, J., Thomsen, L. H., Wille, M. M. W. & de Bruijne, M., 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 › peer review

  • Pulmonary diseases 100%
  • Computerized tomography 90%
  • Labeled data 86%
  • Labels 62%
  • Costs 28%
  2 Citationer (Scopus)

• Diagnosis of bronchiectasis and airway wall thickening in children with cystic fibrosis: objective airway-artery quantification

  Kuo, W., de Bruijne, M., Petersen, J., 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 › Forskning › peer review

  • Bronchiectasis 100%
  • Cystic Fibrosis 81%
  • Arteries 61%
  • Child 36%
  • Lung 22%
  20 Citationer (Scopus)

  56 Downloads (Pure)

• Do you trust your multiple instance learning classifier?

  Cheplygina, V., Sørensen, L., Tax, D. M. J., de Bruijne, M. & 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