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

  • Volumetric Images 100%
  • Multiple Instance Learning 100%
  • Instance Learning 100%
  • Image Classification 100%
  • Classification Problem 100%
  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

  • Screening Trials 100%
  • Lung Cancer Screening 100%
  • Thoracic Aorta 100%
  • Smoking 100%
  • Cancer Screening 100%
  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

  • Instance Learning 100%
  • Multiple Instance 100%
  • Diseases 100%
  • Lung Cancer 100%
  • Emphysema 100%
  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

  • Hippocampus 100%
  • Shape Regression 100%
  • Shape Analysis 100%
  • Generalized Linear Model 100%
  • Spline 100%
• 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

  • Enlarged Perivascular Spaces 100%
  • Brain MRI 100%
  • 3D Regression 100%
  • Regression Neural Network 100%
  • Reproducibility 100%
  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

  • Smoothness Priors 100%
  • Brain Tissue Segmentation 100%
  • Bayesian Brain 100%
  • Medical Center 100%
  • Bayesian Model 100%
  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

  • Graph Convolutional Network 100%
  • Graph Convolution 100%
  • Node Connectivity 66%
  • Connectivity Node 66%
  • Regular Node 33%
  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

  • 3D Segmentation 100%
  • Diameter Measurement 100%
  • Intraclass Correlation Coefficient 100%
  • Thoracic Aorta 100%
  • Computer Assisted Tomography 100%
  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 Network 100%
  • Lesion Detection 100%
  • Distance Map 100%
  • Intensity-based 100%
  • Annotation 100%
  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

  • Enlarged Perivascular Spaces 100%
  • Brain MRI 100%
  • Automated Quantification 100%
  • Magnetic Resonance Imaging of Brain 100%
  • Neural Network 100%

• 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

  • Image Classification 100%
  • Volumetric Images 100%
  • Extreme Value Distribution 100%
  • Deep Convolutional Neural Networks 100%
  • Deep Convolutional Neural Network (deep CNN) 66%

• 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

  • Enlarged Perivascular Spaces 100%
  • Brain MRI 100%
  • Automated Quantification 100%
  • Perivascular Spaces 100%
  • Magnetic Resonance Imaging of Brain 100%
  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

  • Disease Progression 100%
  • Event Modeling 100%
  • High-dimensional Imaging 100%
  • Temporal Evolution 50%
  • Support Vector Machine 50%
  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

  • Tree Structure 100%
  • CT Data 100%
  • Multiple Hypothesis Tracking 100%
  • Tracking Method 100%
  • Image Data 50%
  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

  • Genetic Landscape 100%
  • Genotype-phenotype Association 100%
  • Chronic Obstructive Pulmonary Disease 100%
  • Heterogeneous Cells 100%
  • Genetic Risk 100%
  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

  • Dementia Risk 100%
  • Brain Aging 100%
  • Gray Matter 100%
  • Age Prediction 100%
  • Brain Age 100%
  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

  • Incident Dementia 100%
  • Dementia Risk 100%
  • Population-based Study 100%
  • Gray Matter 100%
  • Age Prediction 100%

• 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

  • Learning Technique 100%
  • Larger Quantity 100%
  • Medical Image 100%
  • Prediction Network 100%
  • Deep Learning Method 100%

• 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

  • Discretization 100%
  • Continuous Solution 100%
  • Polynomial Time 100%
  • Discrete Set 100%
  • Graph Cut 100%
  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

  • Modality Representations 100%
  • Modality Classification 50%
  • Cross-modality Features 33%
  • Modality-specific Features 33%
  • Modality Dropout 33%
  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

  • Image Segmentation 100%
  • Attention (Machine Learning) 100%
  • Semisupervised Learning 100%
  • Task Attention 100%
  • Convolutional Neural Network 66%
  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 100%
  • Medical Image Analysis 100%
  • Multiple Instance Learning 100%
  • Image Analysis 100%
  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

  • Acetabular Inclination 100%
  • Computed Tomography 100%
  • Reference Value 100%
  • Computer Assisted Tomography 100%
  • Gender Difference 50%

• 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

  • Deep Learning Technique 100%
  • Transformed Image 100%
  • Siamese Architecture 50%
  • Segmentation Loss 50%
  • Composite Loss Function 50%
  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

  • MRI Data 100%
  • Geometric Distortion 100%
  • Volume Quantification 100%
  • Pediatric Research 100%
  • Phantom 100%
  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

  • Population-based Study 100%
  • Hippocampal Volume 100%
  • Dementia 100%
  • Magnetic Resonance Imaging 100%
  • Mild Cognitive Impairment 100%
  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%
  • Similarity Measure 100%
  • Training Image 100%
  • Scanning Protocol 66%
  • Automatic Segmentation 50%
  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

  • Image Segmentation 100%
  • Transfer Learning 100%
  • Kernel Learning 100%
  • Combined Image 100%
  • Supervised Classification 50%
  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

  • Random Field 100%
  • Convolutional Neural Network 100%
  • Conditionals 100%
  • Semantic Segmentation 100%
  • 3-Dimensional Convolutional Neural Networks 100%

• 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

  • Aorta Artery 100%
  • Pulmonary Artery 100%
  • Graph Cuts 100%
  • Surface Graph 100%
  • Contrast-enhanced CT 100%
  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

  • Data Augmentation 100%
  • Deep Convolutional Neural Networks 100%
  • Quantitative Assessment 100%
  • Robust Approach 100%
  • Computer Assisted Tomography 100%
  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

  • High-resolution Computed Tomography 100%
  • Lung Images 100%
  • Weak Labels 100%
  • Emphysema 100%
  • Instance Learning 100%
  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

  • Centerline Extraction 100%
  • Estimated Position 100%
  • Minimum Cost Path 100%
  • Constrained Region 50%
  • Cost Path 11%
  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 Method 100%
  • Spatial Distribution 50%
  • Interval Labels 33%
  • Custom Loss 33%
  • Volumetric Proportion 33%
  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%
  • Multiple Instance Learning 100%
  • Instance Learning 100%
  • Multiple Instance 100%
  • Machine Learning Method 100%
  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

  • Airway 100%
  • Graph Neural Network 100%
  • Nodes 100%
  • Network Model 100%
  • Image Data 100%

• 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

  • Chest Imaging 100%
  • Feature Learning 100%
  • Medical Image Analysis 100%
  • Convolutional Neural Network 100%
  • Emphysema 100%

• 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

  • Respiratory Muscle 100%
  • Neuromuscular Disease 100%
  • Diaphragm 37%
  • Magnetic Resonance Imaging 25%
  • Imaging Technique 25%
  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

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  • Segmentation Method 100%
  • Maximization 100%
  • Carotid Artery Segmentation 100%
  • Graph Cut 66%
  • Based Segmentation Method 33%
  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).

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  • Probability Theory 100%
  • Voxel 100%
  • Bayesian 100%
  • Field Approximation 100%
  • Airway Tree 100%
  3 Citationer (Scopus)

• Quantification of Lung Abnormalities in Cystic Fibrosis using Deep Networks

  Marques, F., Dubost, F., Corput, M.K.-V. 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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  • Structural Abnormalities 100%
  • Cystic Fibrosis 100%
  • Lung Abnormalities 100%
  • Random Forest 100%
  • In-network Computing 50%
  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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  • Osteotomy 100%
  • Computer Assisted Tomography 50%
  • Computer Navigation 50%
  • Acetabular 33%
  • Diagnosis 33%
  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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  • Transfer Learning 100%
  • Hippocampus Segmentation 100%
  • Feature Space Transformation 100%
  • Feature Space 100%
  • Feature Representation 50%
  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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  • Transfer Learning 100%
  • Chronic Obstructive Pulmonary Disease 100%
  • Texture Feature 100%
  • Classification Task 50%
  • Supervised Learning 50%
  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.

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  • Carotid Artery 100%
  • Magnetic Resonance Imaging 100%
  • Ultrasonic Resonance 100%
  • B-mode Ultrasound 100%
  • Healthy Volunteer 100%
  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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  • Cardiovascular Magnetic Resonance 100%
  • Rotterdam Study 100%
  • Computed Tomography 100%
  • Cardiac Magnetic Resonance Imaging 100%
  • Computer Assisted Tomography 100%
  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).

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  • Crowdsourcing 100%
  • Emphysema 100%
  • Image Similarity 100%
  • Labeled Data 40%
  • Annotator 40%
  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.

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  • Airway 100%
  • Cystic Fibrosis 100%
  • Airway Wall Thickening 100%
  • Bronchiectasis 100%
  • Lung Volume 50%
  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