Marleen de Bruijne
Professor
Image Analysis, Computational Modelling and Geometry
Universitetsparken 1
2100 København Ø
- 2015
- Published
Automated quantification of bronchiectasis, airway wall thickening and lumen tapering in chest CT
Perez-Rovira, A., Kuo, W., Petersen, Jens, A.W.M. Tiddens, H. & de Bruijne, Marleen, 2015. 1 p.Research output: Contribution to conference › Conference abstract for conference › Research › peer-review
Cine-MRI as a New Tool to Evaluate Diaphragmatic Dysfunction in Pompe Disease
Wens, S. C., Ciet, P., Perez-Rovira, A., Logie, K., Salamon, E., Wielopolski, P., de Bruijne, Marleen, Kruijshaar, M. E., Tiddens, H. W., van der Beek, N. A. M. E., van Doorn, P. A. & van der Ploeg, A. T., 2015, In: Neuromuscular Disorders. 2, s1, p. S57Research output: Contribution to journal › Conference abstract in journal › Research › peer-review
- Published
Feature-space transformation improves supervised segmentation across scanners
van Opbroek, A., Achterberg, H. C. & de Bruijne, Marleen, 2015, Machine learning meets medical imaging: First International Workshop, MLMMI 2015, Held in Conjunction with ICML 2015, Lille, France, July 11, 2015, Revised Selected Papers. Springer, p. 85-93 9 p. (Lecture notes in computer science, Vol. 9487).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Geodesic atlas-based labeling of anatomical trees: application and evaluation on airways extracted from CT
Feragen, A., Petersen, Jens, Owen, M., Lo, P., Thomsen, L. H., Wille, M. M. W., Dirksen, A. & de Bruijne, Marleen, 2015, In: IEEE Transactions on Medical Imaging. 34, 6, p. 1212-1226 15 p.Research output: Contribution to journal › Journal article › Research › peer-review
- 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 proceeding › Article in proceedings › Research › peer-review
- Published
Letter by Bos et al regarding article, "Intracranial Carotid Calcification on Cranial Computed Tomography: Visual Scoring Methods, Semiautomated Scores, and Volume Measurements in Patients With Stroke"
Bos, D., de Bruijne, Marleen & van der Lugt, A., 2015, In: Stroke. 46, 1 p.Research output: Contribution to journal › Comment/debate › Research › peer-review
- Published
Lung MRI and impairment of diaphragmatic function in Pompe disease
Wens, S. C. A., Ciet, P., Perez-Rovira, A., Logie, K., Salamon, E., Wielopolski, P., de Bruijne, Marleen, Kruijshaar, M. E., Tiddens, H. A. W. M., van Doorn, P. A. & van der Ploeg, A. T., 2015, In: BMC Pulmonary Medicine. 15, 54.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
MRBrainS challenge: online evaluation framework for brain image segmentation in 3T MRI scans
Mendrik, A. M., Vincken, K. L., Kuijf, H. J., Breeuwer, M., Bouvy, W., de Bresser, J., Alansary, A., de Bruijne, M., Carass, A., El-Baz, A., Jog, A., Katyal, R., Khan, A. R., van der Lijn, F., Mahmood, Q., Mukherjee, R., van Opbroek, A., Paneri, S., Pereira, S., Persson, M. & 9 others, , 2015, In: Computational Intelligence and Neuroscience. 2015, 16 p., 813696.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Multi-center MRI carotid plaque component segmentation using feature normalization and transfer learning
van Engelen, A., van Dijk, A. C., Truijman, M. T. B., van't Klooster, R., van Opbroek, A., van der Lugt, A., Niessen, W. J., Kooi, M. E. & de Bruijne, Marleen, 2015, In: IEEE Transactions on Medical Imaging. 34, 6, p. 1294-1305 12 p.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
PRAGMA-CF. A quantitative structural lung disease CT outcome in young children with cystic fibrosis
Rosenow, T., Oudraad, M. C. J., Murray, C. P., Turkovic, L., Kuo, W., de Bruijne, Marleen, Ranganathan, S. C., Tiddens, H. A. W. M. & Stick, S. M., 2015, In: American Journal of Respiratory and Critical Care Medicine. 191, 10, p. 1158-1165 8 p.Research output: Contribution to journal › Journal article › Research › peer-review
- 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 proceeding › Book chapter › Research › peer-review
- Published
Reply: Excess risk of cancer from computed tomography scan is small but not so low as to be incalculable
Rosenow, T., Oudraad, M. C. J., Murray, C. P., Turkovic, L., Kuo, W., de Bruijne, Marleen, Ranganathan, S. C., Tiddens, H. A. W. M. & Stick, S. M., 2015, In: American Journal of Respiratory and Critical Care Medicine. 192, 11, p. 1397-1399 3 p.Research output: Contribution to journal › Journal article › Research
- Published
Reversibility of trapped air on chest computed tomography in cystic fibrosis patients
Loeve, M., Rosenow, T., Gorbunova, V., Hop, W. C. J., Tiddens, H. A. W. M. & de Bruijne, Marleen, 2015, In: European Journal of Radiology. 84, 6, p. 1184-1190 7 p.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Transfer learning improves supervised image segmentation across imaging protocols
van Opbroek, A., Ikram, M. A., Vernooij, M. W. & de Bruijne, Marleen, 2015, In: IEEE Transactions on Medical Imaging. 34, 5, p. 1018-1030 13 p.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Weighting training images by maximizing distribution similarity for supervised segmentation across scanners
van Opbroek, A., Vernooij, M. W., Ikram, M. A. & de Bruijne, Marleen, 2015, In: Medical Image Analysis. 24, 1, p. 245-254 10 p.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Why does synthesized data improve multi-sequence classification?
van Tulder, G. & de Bruijne, Marleen, 2015, Medical image computing and computer assisted interventions - MICCAI 2015: 18th International Conference, Munich, Germany, October 5-9, 2015, Proceedings, Part I. Springer, p. 531-538 8 p. (Lecture notes in computer science, Vol. 9349).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- 2016
- 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 proceeding › Article in proceedings › Research › peer-review
- Published
Automatic airway-artery analysis on lung CT to quantify airway wall thickening and bronchiectasis
Perez-Rovira, A., Kuo, W., Petersen, Jens, Tiddens, H. A. W. M. & de Bruijne, Marleen, 2016, In: Medical Physics. 43, 10, p. 5736-5744 9 p.Research output: Contribution to journal › Journal article › Research › peer-review
- 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 journal › Journal article › Research › peer-review
- Published
Combining generative and discriminative representation learning for lung CT analysis with convolutional restricted Boltzmann machines
van Tulder, G. & de Bruijne, Marleen, 2016, In: IEEE Transactions on Medical Imaging. 35, 5, p. 1262-1272 11 p.Research output: Contribution to journal › Journal article › Research › peer-review
- 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 proceeding › Article in proceedings › Research › peer-review
- Published
Extraction of airway trees using multiple hypothesis tracking and template matching
Selvan, Raghav, Petersen, Jens, Pedersen, J. J. H. & de Bruijne, Marleen, 2016, The Sixth International Workshop on Pulmonary Image Analysis: Athens, Greece - October 21, 2016. Beichel, R. R., Farahani, K., Jacobs, C., Kabus, S., Kiraly, A. P., Kuhnigk, J-M., McClelland, J. R., Mori, K., Petersen, J. & Rit, S. (eds.). Create Space Independent Publishing Platform, p. 43-54 12 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Machine learning approaches in medical image analysis: from detection to diagnosis
de Bruijne, Marleen, 2016, In: Medical Image Analysis. 33, p. 94-97 4 p.Research output: Contribution to journal › Editorial › Research › peer-review
- Published
Method of analyzing image for assessing condition of organ e.g. lung of patient represented in image, involves providing quantitative measure of extent of condition in image based on number of identified inspection regions
Stick, S. M., Rosenow, T., Tiddens, H. A. W. M. & de Bruijne, Marleen, 2016, IPC No. G06T-007/00, Patent No. WO2016183609-A1, 24 Nov 2016, Priority date 20 May 2015, Priority No. AU901841Research output: Patent
- Published
Multicentre chest computed tomography standardisation in children and adolescents with cystic fibrosis: the way forward
Kuo, W., Kemner-van de Corput, M. P. C., Perez-Rovira, A., de Bruijne, Marleen, Fajac, I., Tiddens, H. A. W. M. & van Straten, M., 2016, In: The European Respiratory Journal. 47, 6, p. 1706-1717 12 p.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
- Published
Quantification of diaphragm mechanics in Pompe disease using dynamic 3D MRI
Mogalle, K., Perez-Rovira, A., Ciet, P., Wens, S. C. A., van Doorn, P. A., Tiddens, H. A. W. M., van der Ploeg, A. T. & de Bruijne, Marleen, 2016, In: P L o S One. 11, 7, 24 p., e0158912.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Quantifying emphysema extent from weakly labeled CT scans of the lungs using label proportions learning
Ørting, S. N., Petersen, Jens, Wille, M., Thomsen, L. & de Bruijne, Marleen, 2016, The Sixth International Workshop on Pulmonary Image Analysis. Beichel, R. R., Farahani, K., Jacobs, C., Kabus, S., Kiraly, A. P., Kuhnigk, J-M., McClelland, J. R., Mori, K., Petersen, J. & S. R. (eds.). CreateSpace Independent Publishing Platform , p. 31-42 11 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- 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 journal › Journal article › Research › peer-review
- Published
The development of bronchiectasis on chest computed tomography in children with cystic fibrosis: can pre-stages be identified?
Tepper, L. A., Caudri, D., Rovira, A. P., Tiddens, H. A. W. M. & de Bruijne, Marleen, 2016, In: European Radiology. 26, 12, p. 4563-4569 7 p.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Visual assessment of early emphysema and interstitial abnormalities on CT is useful in lung cancer risk analysis
Wille, M. M. W., Thomsen, L. H., Petersen, Jens, de Bruijne, Marleen, Dirksen, A., Pedersen, J. H. & Shaker, S. B., 2016, In: European Radiology. 26, 2, p. 487-494 8 p.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
High shear stress relates to intraplaque haemorrhage in asymptomatic carotid plaques
Tuenter, A., Selwaness, M., Arias Lorza, A., Schuurbiers, J. C. H., Speelman, L., Cibis, M., van der Lugt, A., de Bruijne, Marleen, van der Steen, A. F. W., Franco, O. H., Vernooij, M. W. & Wentzel, J. J., Aug 2016, In: Atherosclerosis. 251, p. 348–354 7 p.Research output: Contribution to journal › Journal article › Research › peer-review
- 2017
- 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
- Published
Extraction of Airways with Probabilistic State-Space Models and Bayesian Smoothing
Selvan, Raghav, Petersen, Jens, Pedersen, J. J. H. & de Bruijne, Marleen, 2017, Graphs in Biomedical Image Analysis, Computational Anatomy and Imaging Genetics: First International Workshop, GRAIL 2017, 6th International Workshop, MFCA 2017, and Third International Workshop, MICGen 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, September 10–14, 2017, Proceedings. Cardoso, M. J., Arbel, T., Ferrante, E., Pennec, X., Dalca, A. V., Parisot, S., Joshi, S., Batmanghelich, N. K., Sotiras, A., Nielsen, M., Sabuncu, M. R., Fletcher, T., Shen, L., Durrleman, S. & Sommer, S. (eds.). Springer, p. 53-63 (Lecture notes in computer science, Vol. 10551).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Fully automated lung volume assessment from MRI in a population-based child cohort study
Ivanovska, T., Ciet, P., Rerez-Rovira, A., Nguyen, A., Tiddens, H., Duijts, L., de Bruijne, Marleen & Wörgötter, F., 2017, Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications. SCITEPRESS Digital Library, Vol. 6. p. 53-58 6 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- 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 proceeding › Article in proceedings › Research › peer-review
- Published
Representation learning for cross-modality classification
Tulder, G. V. & de Bruijne, Marleen, 2017, Medical Computer Vision and Bayesian and Graphical Models for Biomedical Imaging: MICCAI 2016 International Workshops, MCV and BAMBI, Athens, Greece, October 21, 2016, Revised Selected Papers. Müller, H., Kelm, B. M., Arbel, T., Cai, W., Cardoso, M. J., Langs, G., Menze, B., Metaxas, D., Montillo, A., Wells, W. M., Zhang, S., Chung, A. C. S., Jenkinson, M. & Ribbens, A. (eds.). Springer, p. 126-136 11 p. (Lecture notes in computer science, Vol. 10081).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- 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 proceeding › Article in proceedings › 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
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
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
- 2018
- 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
- 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
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
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
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
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
- 2019
- 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
- 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
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
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
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
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
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
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
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
- 2020
- 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
- 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
ID: 545222
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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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