Marleen de Bruijne

Marleen de Bruijne

Professor


  1. Published

    A Computer-based Measure Using Normalized Heights Predicts Vertebral  Fracture Independent of BMD in Post-menopausal Women

    A. Ghosh, de Bruijne, Marleen, C. Pettersen, M. A. Karsdal, D. J. Leeming, C. Christiansen, P. & Nielsen, Mads, 2008, In: Journal of Bone and Mineral Research. suppl. S, p. S333 1 p.

    Research output: Contribution to journalConference abstract in journalResearchpeer-review

  2. Published

    Local appearance features for robust MRI brain structure segmentation across scanning protocols

    Achterberg, H. C., Poot, D. H. J., van der Lijn, F., Vernooij, M. W., Ikram, M. A., Niessen, W. J. & de Bruijne, Marleen, 2013, Medical Imaging 2013: image processing . Ourselin, S. & Haynor, D. R. (eds.). SPIE - International Society for Optical Engineering, 7 p. 866905. (Progress in Biomedical Optics and Imaging; No. 36, Vol. 14).

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  3. Published

    Hippocampal shape predicts development of dementia in the general population

    Achterberg, H., de Bruijne, Marleen, Lijn, F. V. D., den Heijer , T., Vernooij , M., Ikram, M. A. & Niessen, W., 2011. 1 p.

    Research output: Contribution to conferenceConference abstract for conferenceResearchpeer-review

  4. Published

    Prediction of dementia by hippocampal shape analysis

    Achterberg, H., van der Lijn, F., den Heijer, T., van der Lugt, A., Breteler, M., Niessen, W. & de Bruijne, Marleen, 2011.

    Research output: Contribution to conferenceConference abstract for conferenceResearch

  5. Published

    Prediction of dementia by hippocampal shape analysis

    Achterberg, H. C., van der Lijn, F., den Heijer, T., van der Lugt, A., Breteler, M. M. B., Niessen, W. J. & de Bruijne, Marleen, 2010, Machine Learning in Medical Imaging: First International Workshop, MLMI 2010, Held in Conjunction with MICCAI 2010, Beijing, China, September 20, 2010. Proceedings. Wang, F., Yan, P., Suzuki, K. & Shen, D. (eds.). Springer, p. 42-49 8 p. (Lecture notes in computer science, Vol. 6357).

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  6. 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. 58-66

    Research output: Contribution to journalJournal articleResearchpeer-review

  7. Published

    Hippocampal shape is predictive for the development of dementia in a normal, elderly population

    Achterberg, H. C., van der Lijn, F., den Heijer, T., Vernooij, M. W., Ikram, M. A., Niessen, W. J. & de Bruijne, Marleen, 2014, In: Human Brain Mapping. 35, 5, p. 2359-2371 13 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  8. 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. 825-834

    Research output: Contribution to journalJournal articleResearchpeer-review

  9. Published

    Quantification and visualization of variation in anatomical trees

    Amenta, N., Datar, M., Dirksen, A., de Bruijne, Marleen, Feragen, A., Ge, X., Pedersen, J., Howard, M., Owen, M., Petersen, Jens, Shi, J. & Xu, Q., 2015, Research in shape modeling. Leonard, K. & Tari, S. (eds.). Springer, p. 57-79 23 p. (Association for Women in Mathematics Series, Vol. 1).

    Research output: Chapter in Book/Report/Conference proceedingBook chapterResearchpeer-review

  10. 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 proceedingArticle in proceedingsResearch

  11. Published

    Carotid artery wall segmentation by coupled surface graph cuts

    Arias, A., Petersen, Jens, van Engelen, A., Tang, H., Selwaness, M., Witteman, J. C. M., van der Lugt, A., Niessen, W. & de Bruijne, Marleen, 2013, Medical Computer Vision. Recognition techniques and applications in medical imaging: Second International MICCAI Workshop, MCV 2012, Nice, France, Revised Selected Papers. Menze, B. H., Langs, G., Lu, L., Montillo, A., Tu, Z. & Criminisi, A. (eds.). Springer, p. 38-47 10 p. (Lecture notes in computer science, Vol. 7766).

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  12. 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. 1159-1169

    Research output: Contribution to journalJournal articleResearchpeer-review

  13. 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 journalJournal articleResearchpeer-review

  14. Published

    Carotid artery wall segmentation in multispectral MRI by coupled optimal surface graph cuts

    Arias-Lorza, A. M., Petersen, Jens, van Engelen, A., Selwaness, M., van der Lugt, A., J. Niessen, W. & de Bruijne, Marleen, 2016, In: IEEE Transactions on Medical Imaging. 35, 3, p. 901-911 11 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  15. Published

    A longitudinal follow-up of COPD disease progression in a large cohort of smokers screened for early lung cancer: CBQ study

    Ashraf, H., Edula, G., de Bruijne, Marleen, Nielsen, Mads, Dahlbäck, A. D. M. & Pedersen, J. H., 2009, In: American Journal of Respiratory and Critical Care Medicine. p. A1492 1 p.

    Research output: Contribution to journalConference abstract in journalResearchpeer-review

  16. Published

    Change in Smoking Habits Affects Lung Density by CT

    Ashraf, H., Lo, P., Shaker, S. B., de Bruijne, Marleen, Tønnesen, A. D. P., Dahlbäck, M. & Pedersen, J. H., 2009, American Thoracic Society International Conference. p. A5573 1 p. (American Journal of Respiratory and Critical Care Medicine; No. 1, Vol. 179).

    Research output: Chapter in Book/Report/Conference proceedingConference abstract in proceedingsResearchpeer-review

  17. Published

    Short-term effect of changes in smoking behaviour on emphysema quantification by CT

    Ashraf, H., Lo, P. C. P., Shaker, S. B., de Bruijne, Marleen, Dirksen, A., Tønnesen, P., Dahlbäck, M. & Pedersen, J. J. H., 2011, In: Thorax. 66, 1, p. 55-60

    Research output: Contribution to journalJournal articleResearchpeer-review

  18. Published

    Quantification of smoothing requirement for 3D optic flow calculation of volumetric images

    Bab-Hadiashar, A., Tennakoon, R. B. & de Bruijne, Marleen, 2013, In: IEEE Transactions on Image Processing. 22, 6, p. 2128-2137 10 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  19. Published

    3D+t/2D+t CTA-XA registration using population-based motion estimates

    Baka, N., Metz, C. T., Schultz, C., Neefjes, L., van Geuns, R. J., Lelieveldt, B. P. F., Niessen, W. J., de Bruijne, Marleen & van Walsum, T., 2012, Proceedings, MICCAI-STENT'12: 1st MICCAI-Workshop on Computer Assisted Stenting . Demirci, L. & Radeva, U. (eds.). MICCAI , p. 64-71 8 p.

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  20. Published

    Statistical coronary motion models for 2D + t/3D registration of X-ray coronary angiography and CTA

    Baka, N., Metz, C. T., Schultz, C., Neefjes, L., van Geuns, R. J., Lelieveldt, B. P. F., Niessen, W. J., van Walsum, T. & de Bruijne, Marleen, 2013, In: Medical Image Analysis. 17, 6, p. 698-709 12 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  21. Published

    Confidence of model based shape reconstruction from sparse data

    Baka, N., de Bruijne, Marleen, Reiber, J. H. C., Niessen, W. & Lelieveldt, B. P. F., 2010, 2010 IEEE International Symposium on Biomedical Imaging: from nano to macro. IEEE, p. 1077-1080 4 p.

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  22. Published

    Statistical shape model-based femur kinematics from biplane fluoroscopy

    Baka, N., de Bruijne, Marleen, Walsum, T. V., Kaptein, B. L., Giphart, J. E., Schaap, M., Niessen, W. J. & Lelieveldt, B. P. F., 2012, In: I E E E Transactions on Medical Imaging. 31, 8, p. 1573-1583 11 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  23. Published

    2D-3D shape reconstruction of the distal femur from stereo X-Ray imaging using statistical shape models

    Baka, N., Kaptein, B. L., de Bruijne, Marleen, van Walsum, T., Giphart, J. E., Niessen, W. J. & Lelieveldt, B. P. F., 2011, In: Medical Image Analysis. 15, 6, p. 840-850 11 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  24. Published

    Evaluation of automated statistical shape model based knee kinematics from biplane fluoroscopy

    Baka, N., Kaptein, B. L., Giphart, J. E., Staring, M., de Bruijne, Marleen, Lelieveldt, B. P. F. & Valstar, E., 2014, In: Journal of Biomechanics. 47, 1, p. 122-129 8 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  25. Published

    Comparison of shape regression methods under landmark position uncertainty

    Baka, N., Metz, C., Schaap, M., Lelieveldt, B., Niessen, W. & de Bruijne, Marleen, 2011, Medical Image Computing and Computer-Assisted Intervention – MICCAI 2011: 14th International Conference, Toronto, Canada, September 18-22, 2011, Proceedings, Part II. Fichtinger, G., Martel, A. & Peters, T. (eds.). Springer, Vol. Part II. p. 434-441 8 p. (Lecture notes in computer science, Vol. 6892).

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  26. Published

    Fluoroscopic assessment of femoral kinematics using a statistical shape model

    Baka, N., de Bruijne, Marleen, van Walsum, T., Kaptein, B., Giphart, E., Schaap, M., Niessen, W. & Lelieveldt, B., 2012, EORS 2012 Amsterdam: European Orthopaedic Research Society 20th annual meeting. EORS , p. 147148 2 p. 5B.2

    Research output: Chapter in Book/Report/Conference proceedingConference abstract in proceedingsResearchpeer-review

  27. Published

    The Fourth International Workshop on Pulmonary Image Analysis

    Beichel, R. (ed.), de Bruijne, Marleen (ed.), van Ginneken, B. (ed.), Kabus, S. (ed.), Kiraly, A. (ed.), Kuhnigk, J. (ed.), McClelland, J. (ed.), Mori, K. (ed.), van Rikxoort, E. (ed.) & Rit, S. (ed.), 2011, CreateSpace Independent Publishing Platform . 270 p.

    Research output: Book/ReportAnthologyResearch

  28. Published

    The Fifth International Workshop on Pulmonary Image Analysis: Nagoya, Japan, September 26, 2013

    Beichel, R. R. (ed.), de Bruijne, Marleen (ed.), Kabus, S. (ed.), Kiraly, A. P. (ed.), Kuhnigk, J. (ed.), McClelland, J. R. (ed.), Kitasaka, T. (ed.), van Rikxoort, E. (ed.) & Rit, S. (ed.), 2013, CreateSpace Independent Publishing Platform . 160 p.

    Research output: Book/ReportBookResearchpeer-review

  29. 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 journalJournal articleResearchpeer-review

  30. 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. 276-281

    Research output: Contribution to journalJournal articleResearchpeer-review

  31. 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 proceedingArticle in proceedingsResearchpeer-review

  32. 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 proceedingArticle in proceedingsResearchpeer-review

  33. 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 journalJournal articleResearchpeer-review

  34. Published

    Segmentation of intracranial arterial calcification with deeply supervised residual dropout networks

    Bortsova, G., van Tulder, G., Dubost, F., Peng, T., Navab, N., van der Lugt, A., Bos, D. & de Bruijne, Marleen, 2017, Medical Image Computing and Computer-Assisted Intervention − MICCAI 2017: 20th International Conference, Quebec City, QC, Canada, September 11-13, 2017, Proceedings, Part III. Descoteaux, M., Maier-Hein, L., Franz, A., Jannin, P., Collins, D. L. & Duchesne, S. (eds.). Springer, p. 356-364 9 p. (Lecture notes in computer science, Vol. 10435).

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  35. 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 journalJournal articleResearchpeer-review

  36. Published
  37. Published

    Preface

    Brown, M., de Bruijne, Marleen, Ginneken, B. V., Kuhnigk, A. K. A. J. M., Lorenz, C., McClelland, J. R., Mori, K., Reeves, A. P. & Reinhardt, J., 2009, Second International Workshop on Pulmonary Image Analysis: Proceedings of the Second International Workshop on Pulmonary Image Analysis. Create Space, p. 1

    Research output: Chapter in Book/Report/Conference proceedingBook chapterResearch

  38. Published

    Preface

    Brown, M., de Bruijne, Marleen, Ginneken, B. V., Kiraly, A., Kuhnigk, J. M., Lorenz, C., Mori, K. & Reinhardt, J., 2008, The First International Workshop on Pulmonary Image Analysis. Canada: Lulu.com, 1 p.

    Research output: Chapter in Book/Report/Conference proceedingBook chapterResearch

  39. Published

    The Second International Workshop on Pulmonary Image Analysis

    Brown, M. (ed.), de Bruijne, Marleen (ed.), van Ginneken, B. (ed.), Kiraly, A. (ed.), Kuhnigk, J. (ed.), Lorenz, C. (ed.), McClelland, J. R. (ed.), Mori, K. (ed.), Reeves, A. (ed.) & Reinhardt, J. M. (ed.), 2009, CreateSpace. 410 p.

    Research output: Book/ReportAnthologyResearchpeer-review

  40. Published

    The First International Workshop on Pulmonary Image Analysis

    Brown, M. (ed.), de Bruijne, Marleen (ed.), van Ginneken, B. (ed.), Kiraly, A. (ed.), Kuhnigk, J. (ed.), Lorenz, C. (ed.), Mori, K. (ed.) & Reinhardt, J. (ed.), 2008, Lulu.com. 316 p.

    Research output: Book/ReportAnthologyResearchpeer-review

  41. Published

    The Third International Workshop on Pulmonary Image Analysis

    Brown, M. (ed.), de Bruijne, Marleen (ed.), Ding, K. (ed.), van Ginneken, B. (ed.), Kiraly, A. (ed.), Kuhnigk, J. (ed.), McClelland, J. R. (ed.), Mori, K. (ed.) & Reinhardt, J. M. (ed.), 2010, CreateSpace Independent Publishing Platform . 170 p.

    Research output: Book/ReportAnthologyResearchpeer-review

  42. 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 proceedingArticle in proceedingsResearchpeer-review

  43. 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 journalJournal articleResearchpeer-review

  44. 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 journalJournal articleResearchpeer-review

  45. 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. 188-198

    Research output: Contribution to journalConference articleResearchpeer-review

  46. 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 proceedingArticle in proceedingsResearchpeer-review

  47. 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 journalJournal articleResearchpeer-review

  48. 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 journalJournal articleResearchpeer-review

  49. Published

    Towards exaggerated emphysema stereotypes

    Chen, C., Sørensen, L., Lauze, Francois Bernard, Igel, Christian, Loog, M., Feragen, A., de Bruijne, Marleen & Nielsen, Mads, 2012, Medical Imaging 2012: Computer-Aided Diagnosis. van Ginneken, B. & Novak, C. L. (eds.). SPIE - International Society for Optical Engineering, 13 p. 83150Q. (Proceedings of S P I E - International Society for Optical Engineering, Vol. 7964). (Progress in Biomedical Optics and Imaging; No. 31, Vol. 13).

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  50. 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 conferencePaperResearchpeer-review

  51. 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 journalJournal articleResearchpeer-review

  52. 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 proceedingArticle in proceedingsResearchpeer-review

  53. 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 journalJournal articleResearchpeer-review

  54. Published

    Asymmetric similarity-weighted ensembles for image segmentation

    Cheplygina, V., Van Opbroek, A., Ikram, M. A., Vernooij, M. W. & de Bruijne, Marleen, 2016, 2016 IEEE International Symposium on Biomedical Imaging: from Nano to Macro. IEEE, p. 273-277 5 p.

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  55. Published

    Classification of COPD with multiple instance learning

    Cheplygina, V., Sørensen, L. E. B. L., Tax, D., Pedersen, J. J. H., Loog, M. & de Bruijne, Marleen, 2014, 22nd International Conference on Pattern Recognition (ICPR) 2014. IEEE, p. 1508-1513 6 p. (International Conference on Pattern Recognition).

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  56. 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 journalJournal articleResearchpeer-review

  57. 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 - 1496

    Research output: Contribution to journalJournal articleResearchpeer-review

  58. 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 journalJournal articleResearchpeer-review

  59. Published

    Label stability in multiple instance learning

    Cheplygina, V., Sørensen, L., Tax, D. M. J., de Bruijne, Marleen & Loog, M., 2015, Medical Image Computing and Computer-Assisted Intervention – MICCAI 2015: 18th international conference, Munich, Germany, October 5-9, 2015, Proceedings, Part I. Navab, N., Hornegger, J., Wells, W. M. & Frangi, A. F. (eds.). Springer, p. 539-546 8 p. (Lecture notes in computer science).

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  60. 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 journalJournal articleResearch

  61. 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 proceedingConference abstract in proceedingsResearch

  62. Published

    Early experiences with crowdsourcing airway annotations in chest CT

    Cheplygina, V., Perez-Rovira, A., Kuo, W., Tiddens, H. A. W. M. & de Bruijne, Marleen, 2016, Deep Learning and Data Labeling for Medical Applications: First International Workshop, LABELS 2016, and Second International Workshop, DLMIA 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 21, 2016, Proceedings. Carneiro, G., Mateus, D., Peter, L., Bradley, A., Tavares, J. M. R. S., Belagiannis, V., Papa, J. P., Nascimento, J. C., Loog, M., Lu, Z., Cardoso, J. S. & Cornebise, J. (eds.). Springer, p. 209-218 10 p. (Lecture notes in computer science, Vol. 10008).

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  63. Published

    Automated Quantification of the Morphological Atherosclerotic Calcification Distribution on X-Rays Is a Strong Predictor of Mortality in Postmenopausal Women

    Christiansen, C., Karsdal, M., Lauze, Francois Bernard, Dam, E., Ganz, Melanie, de Bruijne, Marleen, Sørensen, M., Barascuk, N. & Nielsen, Mads, 2008, In: Arteriosclerosis, Thrombosis, and Vascular Biology. 6, p. e48-e48 1 p.

    Research output: Contribution to journalConference abstract in journalResearchpeer-review

  64. Published

    Relation between wall shear stress and carotid artery wall thickening MRI versus CFD

    Cibis, M., Potters, W. V., Selwaness, M., Gijsen, F. J., Franco, O. H., Arias Lorza, A. M., de Bruijne, Marleen, Hofman, A., van der Lugt, A., Nederveen, A. J. & Wentzel, J. J., 2016, In: Journal of Biomechanics. 49, 5, p. 735-741 7 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  65. Published

    MRI tracheomalacia (TM) assessment in pediatric patients: feasibility study

    Ciet, P., Wielopolski, P., Lever, S., Manniesing, R., de Bruijne, Marleen, Lequin, M. H. & Tiddens, H. A. W. M., 2011.

    Research output: Contribution to conferenceConference abstract for conferenceResearchpeer-review

  66. Chest-CT protocol standardization for multicentre trial in cystic fibrosis (CF) infants

    Ciet, P., Graniel, K. G., Stick, S., de Bruijne, Marleen, Tiddens, H. & Straten, M. V., 2013, In: Insights into Imaging. 4, Supplement 1, 1 p., B-0737.

    Research output: Contribution to journalConference abstract in journalResearchpeer-review

  67. Published

    Respiratory muscle movement in Pompe disease using cine Magnetic Resonance Imaging

    Ciet, P., Wens, S., Perez-Rovira, A., Logie, K., Wielopolski, P., de Bruijne, Marleen, Ploeg, A. V. D., Doorn, P. V. & Tiddens, H., 2013.

    Research output: Contribution to conferenceConference abstract for conferenceResearchpeer-review

  68. Published

    Tracheomalacia assessment in pediatric patients with MRI: preliminary report

    Ciet, P., Wielopolski, P. A., Lever, S., de Bruijne, Marleen, Lequin, M. H. & Tiddens, H. A., 2010.

    Research output: Contribution to conferenceConference abstract for conferenceResearchpeer-review

  69. Published

    Spirometer-controlled cine magnetic resonance imaging to diagnose tracheobronchomalacia in pediatric patients

    Ciet, P., Wielopolski, P., Manniesing, R., Lever, S., de Bruijne, Marleen, Morana, G., Muzzio, P. C., Lequin, M. H. & Tiddens, H. A. W. M., 2014, In: European Respiratory Journal. 43, 1, p. 115-124 10 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  70. Published

    Standardization of a chest-CT protocol for multi-center trial in cystic fibrosis (CF) infants

    Ciet, P., Graniel, K. G., Stick, S., de Bruijne, Marleen, Tiddens, H. & van Straten, M., 2012, In: Journal of Thoracic Imaging. 27, 5, p. W127 1 p., O47.

    Research output: Contribution to journalConference abstract in journalResearchpeer-review

  71. Published

    Lung tissue classification in severe advanced cystic fibrosis from CT scans

    Ciompi, F., Palaioroutas, A., Loeve, M., Pujol, O., Radeva, P., Tiddens, H. & de Bruijne, Marleen, 2011, The Fourth International Workshop on Pulmonary Image Analysis. Beichel, R., de Bruine, M., van Ginneken, B., Kabus, S., Kiraly, A., Kuhnigk, J-M., McClelland, J., Mori, K., van Rikxoort, E. & Rit, S. (eds.). CreateSpace Independent Publishing Platform , p. 57-68 12 p.

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  72. Published

    Iterated stacked classifiers for lung segmentation in computed tomography

    Ciompi, F., Gatta, C. & de Bruijne, Marleen, 2013, The Fifth International Workshop on Pulmonary Image Analysis: Nagoya, Japan - September 26, 2013. Beichel, R. R., de Bruijne, M., Kabus, S., Kiraly, A. P., Kitasaka, T., Kuhnigk, J-M., McClelland, J. R., van Rikxoort, E. & Rit, S. (eds.). CreateSpace Independent Publishing Platform , p. 63-74 12 p.

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  73. A pixelwise inpainting-based refinement scheme for quantizing calcification in the lumbar aorta on 2D lateral x-ray images

    Conrad-Hansen, L., de Bruijne, Marleen, Lauze, F., Tankó, L. B. & Nielsen, M., 2006, Medical Imaging: Image Processing. Pluim, J. P. W. & Reinhardt, J. M. (eds.). (Proceedings of SPIE; No. 6144).

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  74. Quantizing Calcification in the Lumbar Aorta on 2-D Lateral X-Ray Images

    Conrad-Hansen, L. A., de Bruijne, Marleen, Lauze, F., Tanko, L. B. & Nielsen, M., 2005, Computer Vision for Biomedical Image Applications: ICCV workshop. <Forlag uden navn>, p. 409-418 (Lecture notes in computer science, Vol. 3765/2005).

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  75. Published

    Quantifying calcification in the lumbar aorta on X-ray images

    Conrad-Hansen, L. A., de Bruijne, Marleen, Lauze, F. B., Tankó, L. B., Pettersen, P. C., He, Q., Chen, J., Christiansen, C. & Nielsen, Mads, 2007, Medical Image Computing and Computer-Assisted Intervention: 10th International conference, Brisbane, Australia, October 29 - November 2, 2007, Proceedings, Part II. Ayache, N., Ourselin, S. & Maeder, A. (eds.). Springer, p. 352-359 (Lecture notes in computer science; No. 4792).

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  76. Published

    Semi-automatic detection of calcifications using nonlinear stretching on X-ray images

    Conrad-Hansen, L. A., de Bruijne, Marleen, Nielsen, Mads & Petrou, M., 2007, Medical Imaging 2007: Computer-aided diagnosis, 20-22 February, 2007, San Diego, California, USA. Giger, M. L. & Karssemeijer, N. (eds.). SPIE, 7 p. (Proceedings of SPIE; No. 6514).

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  77. Published

    Maximum a posteriori estimation of linear shape variation with application to vertebra and cartilage modeling

    Crimi, A., Lillholm, Martin, Nielsen, Mads, Ghosh, A., de Bruijne, Marleen, Dam, E. B. & Sporring, Jon, 2011, In: IEEE Transactions on Medical Imaging. 30, 8, p. 1514-1526 13 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  78. Published

    Prior knowledge regularization in statistical medical image tasks

    Crimi, A., Sporring, Jon, de Bruijne, Marleen, Lillholm, Martin & Nielsen, Mads, 2009, Proceedings of the MICCAI Workshop on Probabilistic Models for Medical Image Analysis. 12 p.

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  79. Published

    Shape-based assessment of vertebral fracture risk in postmenopausal women using discriminative shape alignment

    Crimi, A., Loog, M., de Bruijne, Marleen, Nielsen, Mads & Lillholm, Martin, 2012, In: Academic Radiology. 19, 4, p. 446-454 9 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  80. 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 journalJournal articleResearchpeer-review

  81. Published

    GP-Unet: Lesion detection from weak labels with a 3D regression network

    Dubost, F., Bortsova, G., Adams, H., Ikram, A., Niessen, W. J., Vernooij, M. & de Bruijne, Marleen, 2017, Medical Image Computing and Computer-Assisted Intervention − MICCAI 2017: 20th International Conference, Quebec City, QC, Canada, September 11-13, 2017, Proceedings, Part III. Descoteaux, M., Maier-Hein, L., Franz, A., Jannin, P., Collins, D. L. & Duschesne, S. (eds.). Springer, p. 214-221 8 p. (Lecture notes in computer science, Vol. 10435).

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  82. 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. 534-544

    Research output: Contribution to journalJournal articleResearchpeer-review

  83. 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 proceedingArticle in proceedingsResearchpeer-review

  84. 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 proceedingArticle in proceedingsResearchpeer-review

  85. 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 journalJournal articleResearchpeer-review

  86. 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. 89-100

    Research output: Contribution to journalJournal articleResearchpeer-review

  87. 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 proceedingArticle in proceedingsResearchpeer-review

  88. 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 journalJournal articleResearchpeer-review

  89. 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. 6718–6725

    Research output: Contribution to journalJournal articleResearchpeer-review

  90. 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. 5308–5318

    Research output: Contribution to journalJournal articleResearchpeer-review

  91. 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 journalJournal articleResearchpeer-review

  92. Published

    Natural Progression of Lung Density Changes in COPD Measured by MSCT: Correlation to Lung Function

    Edula, G., Ashraf, H., Lo, P., de Bruijne, Marleen, Dahlbäck, M. & Pedersen, J. H., 2009, In: American Journal of Respiratory and Critical Care Medicine. 1, p. A6215 1 p.

    Research output: Contribution to journalConference abstract in journalResearchpeer-review

  93. 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, Dorent, R., Egger, J., Ellis, D. G., Engelhardt, S., Ganz, Melanie, Ghatwary, N., Girard, G., Godau, P., Gupta, A., Hansen, L., Harada, K., Heinrich, M., Heller, N., Hering, A., Huaulmé, A., Jannin, P., Kavur, A. E., Kodym, O., Kozubek, M., Li, J., Li, H., Ma, J., Martín-Isla, C., Menze, B., Noble, A., Oreiller, V., Padoy, N., Pati, S., Payette, K., Rädsch, T., Rafael-Patiño, J., Bawa, V. S., Speidel, S., Sudre, C. H., Wijnen, K. V., Wagner, M., Wei, D., Yamlahi, A., Yap, M. H., Yuan, C., Zenk, M., Zia, A., Zimmerer, D., Aydogan, D. B., Bhattarai, B., Bloch, L., Brüngel, R., Cho, J., Choi, C., Dou, Q., Ezhov, I., Friedrich, C. M., Fuller, C., Gaire, R. R., Galdran, A., Faura, Á. G., Grammatikopoulou, M., Hong, S., Jahanifar, M., Jang, I., Kadkhodamohammadi, A., Kang, I., Kofler, F., Kondo, S., Kuijf, H., Li, M., Luu, M. H., Martinčič, T., Morais, P., Naser, M. A., Oliveira, B., Owen, D., Pang, S., Park, J., Park, S., Płotka, S., Puybareau, E., Rajpoot, N., Ryu, K., Saeed, N., Shephard, A., Shi, P., Štepec, D., Subedi, R., Tochon, G., Torres, H. R., Urien, H., Vilaça, J. L., Wahid, K. A., Wang, H., Wang, J., Wang, L., Wang, X., Wiestler, B., Wodzinski, M., Xia, F., Xie, J., Xiong, Z., Yang, S., Yang, Y., Zhao, Z., Maier-Hein, K., Jäger, P. F., Kopp-Schneider, A. & Maier-Hein, L., 2023, Proceedings - 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2023. IEEE Computer Society Press, p. 19955-19966

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  94. Published

    Multi-feature-based plaque characterization in ex vivo MRI trained by registration to 3D histology

    Engelen, A. V., Niessen, W. J., Klein, S., Groen, H. C., Verhagen, H. J. M., Wentzel, J. J., Lugt, A. V. D. & de Bruijne, Marleen, 2012, In: Physics in Medicine and Biology. 57, 1, p. 241-256 16 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  95. Published

    Supervised in-vivo plaque characterization incorporating class label uncertainty

    Engelen, A. V., Niessen, W. J., Klein, S., Groen, H. C., Verhagen, H. J. M., Wentzel, J. J., van der Lugt, A. & de Bruijne, Marleen, 2012, 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI). IEEE, p. 246-249 4 p.

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  96. 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 proceedingArticle in proceedingsResearch

  97. 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-E122

    Research output: Contribution to journalJournal articleResearchpeer-review

  98. Published

    Geometric tree kernels: classification of COPD from airway tree geometry

    Feragen, A., Petersen, Jens, Grimm, D., Dirksen, A., Pedersen, J. J. H., Borgwardt, K. & de Bruijne, Marleen, 2013, Information Processing in Medical Imaging: 23rd International Conference, IPMI 2013, Asilomar, CA, USA, June 28–July 3, 2013. Proceedings. Gee, J. C., Joshi, S., Pohl, K. M., Wells, W. M. & Zöllei, L. (eds.). Springer, p. 171-183 13 p. (Lecture notes in computer science, Vol. 7917).

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  99. Published

    Toward a theory of statistical tree-shape analysis

    Feragen, A., Lo, P. C. P., de Bruijne, Marleen, Nielsen, Mads & Lauze, Francois Bernard, 2013, In: I E E E Transactions on Pattern Analysis and Machine Intelligence. 35, 8, p. 2008-2021 14 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  100. Published

    A hierarchical scheme for geodesic anatomical labeling of airway trees

    Feragen, A., Petersen, Jens, Owen, M., Lo, P. C. P., Thomsen, L., Wille, M. M. W., Dirksen, A. & de Bruijne, Marleen, 2012, Medical Image Computing and Computer-Assisted Intervention – MICCAI 2012: 15th International Conference, Nice, France, October 1-5, 2012, Proceedings, Part III. Ayache, N., Delingette, H., Golland, P. & Mori, K. (eds.). Springer, p. 147-155 9 p. (Lecture notes in computer science, Vol. 7512).

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

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