Marleen de Bruijne
Professor
Machine Learning
Universitetsparken 1, 2100 København Ø
- 2024
- Published
Automatic analysis of bronchus-artery dimensions to diagnose and monitor airways disease in cystic fibrosis
Lv, Q., Gallardo-Estrella, L., Andrinopoulou, E., Chen, Y., Charbonnier, J., Sandvik, R. M., Caudri, D., Nielsen, Kim G., de Bruijne, Marleen, Ciet, P. & Tiddens, H., 2024, In: Thorax. p. 13-22Research output: Contribution to journal › Journal article › Research › peer-review
- E-pub ahead of print
Burden of intracranial artery calcification in white patients with ischemic stroke
Berghout, B. P., Camarasa, R. Y. R., Van Dam-Nolen, D. H. K., van der Lugt, A., de Bruijne, Marleen, Koudstaal, P. J., Ikram, M. K. & Bos, D., 2024, (E-pub ahead of print) In: European Stroke Journal.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Leveraging Ellipsoid Bounding Shapes and Fast R-CNN for Enlarged Perivascular Spaces Detection and Segmentation
Zabihi, M., Tangwiriyasakul, C., Ingala, S., Lorenzini, L., Camarasa, R., Barkhof, F., de Bruijne, Marleen, Cardoso, M. J. & Sudre, C. H., 2024, Machine Learning in Medical Imaging - 14th International Workshop, MLMI 2023, Held in Conjunction with MICCAI 2023, Proceedings. Cao, X., Ouyang, X., Xu, X., Rekik, I. & Cui, Z. (eds.). Springer, p. 325-334 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 14349 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Where is VALDO? VAscular Lesions Detection and segmentatiOn challenge at MICCAI 2021
ALFA study, A. S., 2024, In: Medical Image Analysis. 91, 23 p., 103029.Research output: Contribution to journal › Journal article › Research › peer-review
- 2023
- Published
Editorial for the MEDIA MICCAI special issue 2021
de Bruijne, Marleen, Cattin, P. C., Cotin, S., Padoy, N., Speidel, S., Zheng, Y. & Essert, C., Jan 2023, In: Medical Image Analysis. 83, 1 p., 102695.Research output: Contribution to journal › Editorial › Research
- Published
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, In: Neurology. 100, 2, p. E107-E122Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Graph cut-based segmentation
Petersen, Jens, Oguz, I. & de Bruijne, Marleen, 2023, Medical Image Analysis. Academic Press, p. 247-273Research output: Chapter in Book/Report/Conference proceeding › Book chapter › Research › peer-review
- Published
Nested star-shaped objects segmentation using diameter annotations
Camarasa, R., Kervadec, H., Kooi, M. E., Hendrikse, J., Nederkoorn, P. J., Bos, D. & de Bruijne, Marleen, 2023, In: Medical Image Analysis. 90, 11 p., 102934.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Preface: Information Processing in Medical Imaging (IPMI 2023)
Frangi, A., de Bruijne, Marleen, Wassermann, D. & Navab, N., 2023, Information Processing in Medical Imaging: 28th International Conference, IPMI 2023, San Carlos de Bariloche, Argentina, June 18–23, 2023, Proceedings. Springer, p. v-vi (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 13939 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Preface/postscript › Research
- Published
Reproducibility of a combined artificial intelligence and optimal-surface graph-cut method to automate bronchial parameter extraction
Dudurych, I., Garcia-Uceda, A., Petersen, Jens, Du, Y., Vliegenthart, R. & de Bruijne, Marleen, 2023, In: European Radiology. 33, p. 6718–6725Research output: Contribution to journal › Journal article › Research › peer-review
- Published
The effect of CFTR modulators on structural lung disease in cystic fibrosis
Mok, L. C., Garcia-Uceda, A., Cooper, M. N., Kemner-Van De Corput, M., de Bruijne, Marleen, Feyaerts, N., Rosenow, T., De Boeck, K., Stick, S. & Tiddens, H. A. W. M., 2023, In: Frontiers in Pharmacology. 14, 10 p., 1147348.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Unpaired, unsupervised domain adaptation assumes your domains are already similar
van Tulder, G. & de Bruijne, Marleen, 2023, In: Medical Image Analysis. 87, 17 p., 102825.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Why is the winner the best?
Eisenmann, M., Reinke, A., Weru, V., Tizabi, M. D., Isensee, F., Adler, T. J., Ali, S., Andrearczyk, V., Aubreville, M., Baid, U., Bakas, S., Balu, N., Bano, S., Bernal, J., Bodenstedt, S., Casella, A., Cheplygina, V., Daum, M., Bruijne, M. D., Depeursinge, A. & 105 others, , 2023, Proceedings - 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2023. IEEE Computer Society Press, p. 19955-19966Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- 2022
- Published
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, In: Journal of Imaging. 8, 10, p. 1-22 259.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
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, In: Medical Image Analysis. 76, p. 1-12 102311.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
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, In: European Radiology. 32, p. 5308–5318Research output: Contribution to journal › Journal article › Research › peer-review
- Published
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 others, , 2022, In: Medical Image Analysis. 79, p. 1-12 102428.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Diaphragmatic dysfunction in neuromuscular disease, an MRI study
Harlaar, L., Ciet, P., van Tulder, G., Brusse, E., Timmermans, R. G. M., Janssen, W. G. M., de Bruijne, Marleen, van der Ploeg, A. T., Tiddens, H. A. W. M., van Doorn, P. A. & van der Beek, N. A. M. E., 2022, In: Neuromuscular Disorders. 32, 1, p. 15-24Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Differentiable Boundary Point Extraction for Weakly Supervised Star-shaped Object Segmentation
Camarasa, R., Kervadec, H., Bos, D. & de Bruijne, Marleen, 2022, In: Proceedings of Machine Learning Research. 172, p. 188-198Research output: Contribution to journal › Conference article › Research › peer-review
- Published
MRI changes in diaphragmatic motion and curvature in Pompe disease over time
Harlaar, L., Ciet, P., van Tulder, G., van Kooten, H. A., van der Beek, N. A. M. E., Brusse, E., de Bruijne, Marleen, Tiddens, H. A. W. M., van der Ploeg, A. T. & van Doorn, P. A., 2022, In: European Radiology. 32, p. 8681–8691Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Sleep and perivascular spaces in the middle-aged and elderly population
Lysen, T. S., Yilmaz, P., Dubost, F., Ikram, M. A., de Bruijne, Marleen, Vernooij, M. W. & Luik, A. I., 2022, In: Journal of Sleep Research. 31, 2, p. 1-* e13485.Research output: Contribution to journal › Journal article › Research › peer-review
- 2021
- Published
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, In: The Journal of Machine Learning for Biomedical Imaging. 2021, p. 1-39 013.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
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, In: Radiology: Artificial Intelligence. 3, 5, 10 p., e200226.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
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, In: Medical Image Analysis. 73, 14 p., 102141.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
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, In: Medical Physics. 48, 12, p. 7837-7849Research output: Contribution to journal › Journal article › Research › peer-review
- Published
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, In: Scientific Reports. 11, 1, 15 p., 16001.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
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, In: Orphanet Journal of Rare Diseases. 16, 1, p. 1-12 21.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
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, In: European radiology experimental. 5, 1, 7 p., 54.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Crowdsourcing airway annotations in chest computed tomography images
Cheplygina, V., Perez-Rovira, A., Kuo, W., Tiddens, H. A. W. M. & de Bruijne, Marleen, 2021, In: PLoS ONE. 16, e0249580.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
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 others, , 2021, In: Scientific Reports. 11, 1, 12 p., 3246.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Intracranial arteriosclerosis is related to cerebral small vessel disease: a prospective cohort study
Vinke, E. J., Yilmaz, P., van der Toorn, J. E., Fakhry, R., Frenzen, K., Dubost, F., Licher, S., de Bruijne, Marleen, Kavousi, M., Ikram, M. A., Vernooij, M. W. & Bos, D., 2021, In: Neurobiology of Aging. 105, p. 16-24Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Learning from Imperfect Data: Weak Labels, Shifting Domains, and Small Datasets in Medical Imaging
de Bruijne, Marleen, 2021, Bildverarbeitung für die Medizin 2021: Proceedings, German Workshop on Medical Image Computing, Regensburg, March 7-9, 2021. Springer, p. 1 1 p.Research output: Chapter in Book/Report/Conference proceeding › Conference abstract in proceedings › Research
- Published
Preface
Ernst, F., Heinrich, M., Lellmann, J., Schlaefer, A., Dou, Q. & de Bruijne, Marleen, 2021, e Proceedings of the Fourth International Conference on Medical Imaging with Deep Learning – MIDL 2021. PMLR, p. 1-4 (Proceedings of Machine Learning Research, Vol. 143).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research
- Published
Preface (vols 1-8)
de Bruijne, Marleen, Cattin, P. C., Cotin, S., Padoy, N., Speidel, S., Zheng, Y. & Essert, C., 2021, Medical Image Computing and Computer Assisted Intervention – MICCAI 2021: 24th International Conference, Strasbourg, France, September 27 – October 1, 2021, Proceedings, Part VII. Springer, Vol. 12905 LNCS. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research
- Published
Uncertainty-Based Segmentation of Myocardial Infarction Areas on Cardiac MR Images
Camarasa, R., Faure, A., Crozier, T., Bos, D. & de Bruijne, Marleen, 2021, Statistical Atlases and Computational Models of the Heart. MandMs and EMIDEC Challenges - 11th International Workshop, STACOM 2020, Held in Conjunction with MICCAI 2020, Revised Selected Papers. Puyol Anton, E., Pop, M., Sermesant, M., Campello, V., Lalande, A., Lekadir, K., Suinesiaputra, A., Camara, O. & Young, A. (eds.). Springer, p. 385-391 7 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 12592 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- 2020
- Published
Weakly supervised object detection with 2D and 3D regression neural networks
Dubost, F., Adams, H., Yilmaz, P., Bortsova, G., Tulder, G. V., Ikram, M. A., Niessen, W., Vernooij, M. W. & de Bruijne, Marleen, Oct 2020, In: Medical Image Analysis. 65, 22 p., 101767.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Spectral Data Augmentation Techniques to Quantify Lung Pathology from CT-Images
Kayal, S., Dubost, F., Tiddens, H. A. W. M. & de Bruijne, Marleen, Apr 2020, ISBI 2020 - 2020 IEEE International Symposium on Biomedical Imaging. IEEE, p. 586-590 9098581Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Longitudinal assessment of carotid plaque texture in three-dimensional ultrasound images based on semi-supervised graph-based dimensionality reduction and feature selection
Lin, M., Cui, H., Chen, W., van Engelen, A., de Bruijne, Marleen, Azarpazhooh, M. R., Sohrevardi, S. M., Spence, J. D. & Chiu, B., Jan 2020, In: Computers in Biology and Medicine. 116, 11 p., 103586.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Airway tapering: An objective image biomarker for bronchiectasis
Kuo, W., Perez-Rovira, A., Tiddens, H. & de Bruijne, Marleen, 2020, In: European Radiology. 30, 5, p. 2703-2711Research output: Contribution to journal › Journal article › Research › peer-review
- Published
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. (eds.). Springer VS, p. 88-94 7 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 11963 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
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, In: American Journal of Roentgenology. 214, 6, p. 1269-1279Research output: Contribution to journal › Journal article › Research › peer-review
- Published
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, In: IEEE Transactions on Medical Imaging. 39, 4, p. 854-865Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Graph Refinement based Airway Extraction using Mean-Field Networks and Graph Neural Networks
Selvan, Raghav, Kipf, T., Welling, M., Juarez, A. G., Pedersen, J. H., Petersen, Jens & de Bruijne, Marleen, 2020, In: Medical Image Analysis. 64, 12 p., 101751.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Growth of the thoracic aorta in the smoking population: The Danish Lung Cancer Screening Trial
Bons, L. R., Sedghi Gamechi, Z., Thijssen, C. G. E., Kofoed, Klaus Fuglsang, Pedersen, J. H., Saghir, Zaigham, Takkenberg, J. J. M., Kardys, I., Budde, R. P. J., de Bruijne, Marleen & Roos-Hesselink, J. W., 2020, In: International Journal of Cardiology. 299, p. 276-281Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Learning to quantify emphysema extent: What labels do we need?
Orting, S. N., Petersen, Jens, Thomsen, L. H., Winkler Wille, M. M. & de Bruijne, Marleen, 2020, In: IEEE Journal of Biomedical and Health Informatics. 24, 4, p. 1149 -1159Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Multi-atlas image registration of clinical data with automated quality assessment using ventricle segmentation
Dubost, F., de Bruijne, Marleen, Nardin, M., Dalca, A. V., Donahue, K. L., Giese, A., Etherton, M. R., Wu, O., Groot, M. D., Niessen, W., Vernooij, M., Rost, N. S. & Schirmer, M. D., 2020, In: Medical Image Analysis. 63, 14 p., 101698.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Preface
Arbel, T., Ayed, I. B., de Bruijne, Marleen, Descoteaux, M., Lombaert, H. & Pal, C., 2020, Proceedings of the Third Conference on Medical Imaging with Deep Learning – MIDL 2020. PMLR, Vol. 121. p. 1-5 (Proceedings of Machine Learning Research, Vol. 121).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research
- Published
Quantitative Comparison of Monte-Carlo Dropout Uncertainty Measures for Multi-class Segmentation
Camarasa, R., Bos, D., Hendrikse, J., Nederkoorn, P., Kooi, E., van der Lugt, A. & de Bruijne, Marleen, 2020, Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Graphs in Biomedical Image Analysis - 2nd International Workshop, UNSURE 2020, and 3rd International Workshop, GRAIL 2020, Held in Conjunction with MICCAI 2020, Proceedings. Sudre, C. H., Fehri, H., Arbel, T., Baumgartner, C. F., Dalca, A., Tanno, R., Van Leemput, K., Wells, W. M., Sotiras, A., Papiez, B., Ferrante, E. & Parisot, S. (eds.). Springer, p. 32-41 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 12443 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Region-of-interest guided supervoxel inpainting for self-supervision
Kayal, S., Chen, S. & de Bruijne, Marleen, 2020, Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 - 23rd International Conference, Proceedings. Martel, A. L., Abolmaesumi, P., Stoyanov, D., Mateus, D., Zuluaga, M. A., Zhou, S. K., Racoceanu, D. & Joskowicz, L. (eds.). Springer VS, p. 500-509 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 12261 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Spatially regularized shape analysis of the hippocampus using P-spline based shape regression
Achterberg, H. C., de Rooi, J., Vernooij, M., Ikram, A., Niessen, W., Eilers, P. & de Bruijne, Marleen, 2020, In: IEEE Journal of Biomedical and Health Informatics. 24, 3, p. 825-834Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Three-dimensional ultrasound evaluation of the effects of pomegranate therapy on carotid plaque texture using locality preserving projection
Chen, X., Lin, M., Cui, H., Chen, Y., van Engelen, A., de Bruijne, Marleen, Azarpazhooh, M. R., Sohrevardi, S. M., Chow, T. W. S., Spence, J. D. & Chiu, B., 2020, In: Computer Methods and Programs in Biomedicine. 184, 10 p., 105276.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Transfer Learning by Asymmetric Image Weighting for Segmentation across Scanners
Cheplygina, V., Opbroek, A. V., Ikram, M. A., Vernooij, M. W. & de Bruijne, Marleen, 2020, In: arXiv.org. 17 p.Research output: Contribution to journal › Journal article › Research
- 2019
- Published
Extracting tree structures in CT data by tracking multiple statistically ranked hypotheses
Selvan, Raghav, Petersen, Jens, Pedersen, J. H. & de Bruijne, Marleen, 18 Oct 2019, In: Medical Physics. 46, 10, p. 4431-4440Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Gray Matter Age Prediction as a Biomarker for Risk of Dementia
Wang, J., Knol, M. J., Tiulpin, A., Dubost, F., de Bruijne, Marleen, Vernooij, M. W., Adams, H. H. H., Ikram, M. A., Niessen, W. J. & Roshchupkin, G. V., 15 Oct 2019, In: Proceedings of the National Academy of Sciences of the United States of America. 116, 42, p. 21213-21218Research output: Contribution to journal › Journal article › Research › peer-review
- Published
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, p. 583-591 (Lecture Notes in Computer Science, Vol. LNCS 11861).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Not-so-supervised: A survey of semi-supervised, multi-instance, and transfer learning in medical image analysis
Cheplygina, V., de Bruijne, Marleen & Pluim, J. P. W., 29 Mar 2019, In: Medical Image Analysis. 54, p. 280-296 17 p.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Reference values and variation of acetabular angles measured by computed tomography in 170 asymptomatic hips
Mechlenburg, I., Stilling, M., Rømer, L., de Bruijne, Marleen, Søballe, K. & de Raedt, S., 28 Feb 2019, In: Acta Radiologica. 60, 7, p. 895–901Research output: Contribution to journal › Journal article › Research › peer-review
- Published
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, In: European Radiology. 29, 9, p. 4613-4623Research output: Contribution to journal › Journal article › Research › peer-review
- Published
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. (eds.). Springer, p. 360-371 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 11492 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
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. (eds.). Springer VS, p. 36-46 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 11905 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
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. (eds.). Springer VS, p. 234-242 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 11767 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Hydranet: Data augmentation for regression neural networks
Dubost, F., Bortsova, G., Adams, H., Ikram, M. A., Niessen, W., Vernooij, M. & de Bruijne, Marleen, 1 Jan 2019, Medical Image Computing and Computer Assisted Intervention – MICCAI 2019 - 22nd International Conference, Proceedings. Shen, D., Yap, P-T., Liu, T., Peters, T. M., Khan, A., Staib, L. H., Essert, C. & Zhou, S. (eds.). Springer VS, p. 438-446 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 11767 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Increasing Accuracy of Optimal Surfaces Using Min-marginal Energies
Petersen, Jens, Arias-Lorza, A. M., Selvan, Raghav, Bos, D., van der Lugt, A., Pedersen, J. H., Nielsen, Mads & de Bruijne, Marleen, 1 Jan 2019, In: IEEE Transactions on Medical Imaging. 38, 7, p. 1559-1568 8599009.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Multi-task Attention-Based Semi-supervised Learning for Medical Image Segmentation
Chen, S., Bortsova, G., Juárez, A. G. U., van Tulder, G. & de Bruijne, Marleen, 1 Jan 2019, Medical Image Computing and Computer Assisted Intervention – MICCAI 2019 - 22nd International Conference, Proceedings. Shen, D., Yap, P-T., Liu, T., Peters, T. M., Khan, A., Staib, L. H., Essert, C. & Zhou, S. (eds.). Springer VS, p. 457-465 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 11766 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Semi-supervised Medical Image Segmentation via Learning Consistency Under Transformations
Bortsova, G., Dubost, F., Hogeweg, L., Katramados, I. & de Bruijne, Marleen, 1 Jan 2019, Medical Image Computing and Computer Assisted Intervention – MICCAI 2019 - 22nd International Conference, Proceedings. Shen, D., Yap, P-T., Liu, T., Peters, T. M., Khan, A., Staib, L. H., Essert, C. & Zhou, S. (eds.). Springer VS, p. 810-818 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 11769 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
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, In: Medical Image Analysis. 51, p. 89-100Research output: Contribution to journal › Journal article › Research › peer-review
- Published
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. (eds.). Springer VS, p. 103-111 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 11796 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
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. (eds.). Springer, p. 590-604 15 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 11363 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Enlarged perivascular spaces in brain MRI: Automated quantification in four regions
Dubost, F., Yilmaz, P., Adams, H., Bortsova, G., Ikram, M. A., Niessen, W., Vernooij, M. & de Bruijne, Marleen, 2019, In: NeuroImage. 185, p. 534-544Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Event-Based Modeling with High-Dimensional Imaging Biomarkers for Estimating Spatial Progression of Dementia
for the Alzheimer’s Disease Neuroimaging Initiative, F. A. D. N. I., 2019, Information Processing in Medical Imaging - 26th International Conference, IPMI 2019, Proceedings: 26th International Conference, IPMI 2019, Hong Kong, China, June 2–7, 2019,Proceedings. Bao, S., Chung, A. C. S., Gee, J. C. & Yushkevich, P. A. (eds.). Springer, p. 169-180 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 11492 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Genetic landscape of chronic obstructive pulmonary disease identifies heterogeneous cell-type and phenotype associations
SpiroMeta Consortium, S. C., International COPD Genetics Consortium, I. C. G. C. & Understanding Society Scientific Group, U. S. S. G., 2019, In: Nature Genetics. 51, 3, p. 494-505Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Grey Matter Age Prediction as a Biomarker for Risk of Dementia: A Population-based Study
Wang, J., Knol, M., Tiulpin, A., Dubost, F., de Bruijne, Marleen, Vernooij, M., Adams, H., Ikram, M. A., Niessen, W. & Roshchupkin, G., 2019, In: bioRxiv. 17 p., 518506.Research output: Contribution to journal › Journal article › Research
- Published
Learning Cross-Modality Representations from Multi-Modal Images
van Tulder, G. & de Bruijne, Marleen, 2019, In: IEEE Transactions on Medical Imaging. 38, 2, p. 638-648Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Technical challenges of quantitative chest MRI data analysis in a large cohort pediatric study
Nguyen, A. H., Perez-Rovira, A., Wielopolski, P. A., Hernandez Tamames, J. A., Duijts, L., de Bruijne, Marleen, Aliverti, A., Pennati, F., Ivanovska, T., Tiddens, H. A. W. M. & Ciet, P., 2019, In: European Radiology. 29, 6, p. 2770–2782Research output: Contribution to journal › Journal article › Research › peer-review
- Published
The value of hippocampal volume, shape, and texture for 11-year prediction of dementia: a population-based study
Achterberg, H. C., Sørensen, L., Wolters, F. J., Niessen, W. J., Vernooij, M. W., Ikram, M. A., Nielsen, Mads & de Bruijne, Marleen, 2019, In: Neurobiology of Aging. 81, p. 58-66Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Transfer Learning for Image Segmentation by Combining Image Weighting and Kernel Learning
van Opbroek, A., Achterberg, H. C., Vernooij, M. W. & de Bruijne, Marleen, 2019, In: IEEE Transactions on Medical Imaging. 38, 1, p. 213-224 8419778.Research output: Contribution to journal › Journal article › Research › peer-review
- 2018
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 p.Research output: Contribution to conference › Paper › Research › peer-review
- Published
Transfer learning for multicenter classification of chronic obstructive pulmonary disease
Cheplygina, V., Peña, I. P., Pedersen, J. J. H., Lynch, D. A., Sørensen, L. & de Bruijne, Marleen, Sep 2018, In: IEEE Journal of Biomedical and Health Informatics. 22, 5, p. 1486 - 1496Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Detecting emphysema with multiple instance learning
Orting, S. N., Petersen, Jens, Thomsen, L. H., Wille, M. M. W. & de Bruijne, Marleen, 23 May 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging, ISBI 2018. IEEE, p. 510-513Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Cooperative carotid artery centerline extraction in MRI
Arias-Lorza, A. M., Bos, D., van der Lugt, A. & de Bruijne, Marleen, May 2018, In: PLOS ONE. 13, 5, 16 p., e0197180.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Imaging of respiratory muscles in neuromuscular disease: A review
Harlaar, L., Ciet, P., van der Ploeg, A. T., Brusse, E., van der Beek, N. A. M. E., Wielopolski, P. A., de Bruijne, Marleen, Tiddens, H. A. W. M. & van Doorn, P. A., 1 Mar 2018, In: Neuromuscular Disorders. 28, 3, p. 246-256 11 p.Research output: Contribution to journal › Review › Research › peer-review
- Published
Maximization of regional probabilities using Optimal Surface Graphs: application to carotid artery segmentation in MRI
Arias Lorza, A. M., Van Engelen, A., Petersen, Jens, Van Der Lugt, A. & de Bruijne, Marleen, 1 Mar 2018, In: Medical Physics. 45, 3, p. 1159-1169Research output: Contribution to journal › Journal article › Research › peer-review
- Published
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 p. 105742D. (Proceedings of SPIE International Symposium on Medical Imaging, Vol. 10574).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
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, p. 238-250 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 11040 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
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, In: PLoS ONE. 13, 10, p. 1-16 e0205397.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
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. (eds.). Springer, p. 768-776 (Lecture notes in computer science, Vol. 11071).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Extraction of Airways using Graph Neural Networks
Selvan, Raghav, Kipf, T., Welling, M., Pedersen, J. J. H., Petersen, Jens & de Bruijne, Marleen, 2018. 3 p.Research output: Contribution to conference › Conference abstract for conference › Research › peer-review
- Published
Feature Learning Based on Visual Similarity Triplets in Medical Image Analysis: A Case Study of Emphysema in Chest CT Scans
Nyboe Ørting, S., Petersen, Jens, Cheplygina, V., Thomsen, L. H., Wille, M. M. W. & de Bruijne, Marleen, 2018, Intravascular Imaging and Computer Assisted Stenting and Large-Scale Annotation of Biomedical Data and Expert Label Synthesis: 7th Joint International Workshop, CVII-STENT 2018 and Third International Workshop, LABELS 2018 Held in Conjunction with MICCAI 2018 Granada, Spain, September 16, 2018 Proceedings. Stoyanov, D., Taylor, Z., Balocco, S. & Sznitman, R. (eds.). Springer, p. 140-149 Chapter 16. (Lecture Notes in Computer Science, Vol. 11043).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
LONGITUDINAL ASSESSMENT OF CT REGIONS OF LOW ATTENUATION REVERSIBILITY IN YOUNG CHILDREN WITH CYSTIC FIBROSIS
Mok, L., Andrinopoulou, E., de Bruijne, Marleen, Tiddens, H., Stick, S. & Rosenow, T., 2018, In: Respirology. 23, Suppl. 1/SI, p. 57-57 TO 069.Research output: Contribution to journal › Meeting Abstract › Research
- Published
Mean Field Network Based Graph Refinement with Application to Airway Tree Extraction
Selvan, Raghav, Welling, M., Pedersen, J. J. H., Petersen, Jens & de Bruijne, Marleen, 2018, Medical Image Computingand Computer AssistedIntervention – MICCAI 2018: 21st International Conference, Granada, Spain, September 16–20, 2018, Proceedings, Part II. Frangi, A. F., Schnabel, J. A., Davatzikos, C., Alberola-López, C. & Fichtinger, G. (eds.). Springer, p. 750-758 (Lecture notes in computer science, Vol. 11071).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Quantification of Lung Abnormalities in Cystic Fibrosis using Deep Networks
Marques, F., Dubost, F., Corput, M. K. D., Tiddens, H. A. W. & de Bruijne, Marleen, 2018, Medical Imaging 2018: Image Processing. SPIE - International Society for Optical Engineering, 7 p. 105741G. (Proceedings of SPIE International Symposium on Medical Imaging, Vol. 10574).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Reliability of computer-assisted periacetabular osteotomy using a minimally invasive approach
De Raedt, S., Mechlenburg, I., Stilling, M., Rømer, L., Murphy, R. J., Armand, M., Lepistö, J., de Bruijne, Marleen & Søballe, K., 2018, In: International Journal of Computer Assisted Radiology and Surgery. 13, 12, p. 2021-2028 8 p.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Transfer learning by feature-space transformation: A method for Hippocampus segmentation across scanners
van Opbroek, A., Achterberg, H. C., Vernooij, M. W., Arfan Ikram, M. & de Bruijne, Marleen, 2018, In: NeuroImage: Clinical. 20, p. 466-475 10 p.Research output: Contribution to journal › Journal article › Research › peer-review
- 2017
- Published
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, In: European Radiology. 27, 11, p. 4680-4689 10 p.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
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, In: Journal of Cardiovascular Magnetic Resonance. 19, 1, 7 p., 28.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Objective airway artery dimensions compared to CT scoring methods assessing structural cystic fibrosis lung disease
Kuo, W., Andrinopoulou, E., Perez-Rovira, A., Ozturk, H., de Bruijne, Marleen & Tiddens, H. A. W. M., Jan 2017, In: Journal of Cystic Fibrosis. 16, 1, p. 116–123 8 p.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
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, In: Ultrasound in Medicine & Biology. 43, 1, p. 273–285 13 p.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
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. (eds.). Springer, p. 126-135 10 p. (Lecture notes in computer science, Vol. 10552).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Do you trust your multiple instance learning classifier?
Cheplygina, V., Sørensen, L., Tax, D. M. J., de Bruijne, Marleen & Loog, M., 2017, Benelearn 2017: Proceedings of the Twenty-Sixth Benelux Conference on Machine Learning. Duivesteijn, W., Pechenizkiy, M., Fletcher, G., Menkovski, V., Postma, E., Vanschoren, J. & van der Putten, P. (eds.). p. 72-73 2 p.Research output: Chapter in Book/Report/Conference proceeding › Conference abstract in proceedings › Research
Evaluating classifiers for atherosclerotic plaque component segmentation in MRI
van Engelen, A., de Bruijne, Marleen, Schneider, T., van Dijk, A. C., Kooi, M. E., Hendrikse, J., Nederveen, A., Niessen, W. & Botnar, R. M., 2017, Medical Image Understanding and Analysis: 21st Annual Conference, MIUA 2017, Edinburgh, UK, July 11–13, 2017, Proceedings. Hernández, M. V. & González-Castro, V. (eds.). Springer, Vol. 723. p. 156-168 13 p. (Communications in Computer and Information Science, Vol. 723).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Evaluation of registration methods on thoracic CT: the EMPIRE10 challenge
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Atherosclerotic plaque component segmentation in combined carotid MRI and CTA data incorporating class label uncertainty
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Distribution, size, shape, growth potential and extent of abdominal aortic calcified deposits predict mortality in postmenopausal women
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