Marleen de Bruijne

Marleen de Bruijne

Professor

ORCID: 0000-0002-6328-902X

Publication year:
All
251 - 300 out of 338Page size: 50
  1. 2018
  2. 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

  3. 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

  4. 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

  5. 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

  6. 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

  7. 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

  8. 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 journal › Journal article › Research › peer-review

  9. 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

  10. 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. 510-513

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  11. 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 journal › Journal article › Research › peer-review

  12. 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

  13. 2019
  14. 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

  15. 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

  16. 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 journal › Journal article › Research › peer-review

  17. 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

  18. 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. 494-505

    Research output: Contribution to journal › Journal article › Research › peer-review

  19. 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

  20. 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. 638-648

    Research output: Contribution to journal › Journal article › Research › peer-review

  21. 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. 2770–2782

    Research output: Contribution to journal › Journal article › Research › peer-review

  22. 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 journal › Journal article › Research › peer-review

  23. 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

  24. 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 journal › Journal article › Research › peer-review

  25. 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

  26. 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

  27. 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

  28. 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

  29. 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

  30. 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

  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 proceeding › Article in proceedings › Research › peer-review

  32. 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. 4613-4623

    Research output: Contribution to journal › Journal article › Research › peer-review

  33. 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. 895–901

    Research output: Contribution to journal › Journal article › Research › peer-review

  34. 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

  35. 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

  36. 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. 21213-21218

    Research output: Contribution to journal › Journal article › Research › peer-review

  37. 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. 4431-4440

    Research output: Contribution to journal › Journal article › Research › peer-review

  38. 2020
  39. 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. 2703-2711

    Research output: Contribution to journal › Journal article › Research › peer-review

  40. 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

  41. 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. 1269-1279

    Research output: Contribution to journal › Journal article › Research › peer-review

  42. 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. 854-865

    Research output: Contribution to journal › Journal article › Research › peer-review

  43. 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

  44. 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 journal › Journal article › Research › peer-review

  45. 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 -1159

    Research output: Contribution to journal › Journal article › Research › peer-review

  46. 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

  47. 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

  48. 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

  49. 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

  50. 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 journal › Journal article › Research › peer-review

  51. 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

  52. 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

  53. 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

Previous 12 3 4 5 6 7 Next

ID: 545222