Marleen de Bruijne
Professor
Image Analysis, Computational Modelling and Geometry
Universitetsparken 1
2100 København Ø
- 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
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
Automated brain structure segmentation based on atlas registration and appearance models
van der Lijn, F., de Bruijne, Marleen, Klein, S., den Heijer, T., Hoogendam, Y. Y., van der Lugt, A., Breteler, M. M. B. & Niessen, W. J., 2012, In: IEEE Transactions on Medical Imaging. 31, 2, p. 276-286 11 p.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Automated measurement of local white matter lesion volume
van der Lijn, F., Verhaaren, B. F. J., Ikram, M. A., Klein, S., de Bruijne, Marleen, Vrooman, H. A., Vernooij, M. W., Hammers, A., Rueckert, D., van der Lugt, A., Breteler, M. M. B. & Niessen, W. J., 2012, In: NeuroImage. 59, 4, p. 3901-3908 8 p.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Cerebellum segmentation in MRI using atlas registration and local multi-scale image descriptors
van der Lijn, F., de Bruijne, Marleen, Hoogendam, Y. Y., Klein, S., Hameeteman, R., Breteler, M. & Niessen, W., 2009, IEEE International Symposium on Biomedical Imaging (ISBI'09): From Nano to Macro. p. 221-224 4 p. (Uden navn).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
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
Learning features for tissue classification with the classification restricted Boltzmann machine
van Tulder, G. & de Bruijne, Marleen, 2014, Medical Computer Vision: Algorithms for Big Data: International Workshop, MCV 2014, Held in Conjunction with MICCAI 2014, Cambridge, MA, USA, September 18, 2014, Revised Selected Papers. Menze, B., Langs, G., Montillo, A., Kelm, M., Müller, H., Zhang, S., Cai, W. T. & Metaxas, D. (eds.). Springer, p. 47-58 12 p. (Lecture notes in computer science).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Unpaired, unsupervised domain adaptation assumes your domains are already similar
van Tulder, G. & de Bruijne, Marleen, 2023, In: Medical Image Analysis. 87, 17 p., 102825.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Why 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
- 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
Integrating local voxel classification and global shape models for medical image segmentation
van Rikxoort, E. M., de Bruijne, Marleen & van Ginneken, B., 2008, Medical Imaging 2008: Image Processing, Conference Proceedings. Reinhardt, J. M. & Pluim, J. P. W. (eds.). SPIE - International Society for Optical Engineering, p. Article 69144J 6 p. (Proceedings of SPIE; No. 6914).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › 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
Automated brain-tissue segmentation by multi-feature SVM classification
van Opbroek, A., van der Lijn, F. & de Bruijne, Marleen, 2013, The MICCAI Grand Challenge on MR Brain Image Segmentation (MRBrainS13). 8 p. (The MIDAS Journal).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research
- 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
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
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
A transfer-learning approach to image segmentation across scanners by maximizing distribution similarity
van Opbroek, A., Ikram, M. A., Vernooij, M. W. & de Bruijne, Marleen, 2013, Machine Learning in Medical Imaging: 4th International Workshop, MLMI 2013, held in conjunction with MICCAI 2013, Nagoya, Japan, September 22, 2013. Proceedings. Wu, G., Zhang, D., Shen, D., Yan, P., Suzuki, K. & Wang, F. (eds.). Springer, p. 49-56 8 p. (Lecture notes in computer science, Vol. 8184).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › 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
Supervised image segmentation across scanner protocols: a transfer learning approach
van Opbroek, A., Ikram, M. A., Vernooij, M. W. & de Bruijne, Marleen, 2012, Machine Learning in Medical Imaging: Third International Workshop, MLMI 2012, Held in Conjunction with MICCAI 2012, Nice, France, October 1, 2012, Revised Selected Papers. Wang, F., Shen, D., Yan, P. & Suzuki, K. (eds.). Springer, p. 160-167 8 p. (Lecture notes in computer science, Vol. 7588).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Interactive shape models
van Ginneken, B., de Bruijne, Marleen, Loog, M. & Viergever, M. A., 2003, Proceedings of SPIE. p. 1206-1216 (Medical Imaging 2003: Image Processing, Vol. 5032).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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
Atherosclerotic plaque component segmentation in combined carotid MRI and CTA data incorporating class label uncertainty
van Engelen, A., Niessen, W. J., Klein, S., Groen, H. C., Verhagen, H. J. M., Wentzel, J. J., van der Lugt, A. & de Bruijne, Marleen, 2014, In: PLoS ONE. 9, 4, 14 p., e94840.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
Automated segmentation of atherosclerotic histology based on pattern classification
van Engelen, A., Niessen, W. J., Klein, S., Groen, H. C., van Gaalen, K., Verhagen, H. J., Wentzel, J. J., van der Lugt, A. & de Bruijne, Marleen, 2013, In: Journal of Pathology Informatics. 4, 7 p., 3.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Plaque characterization in ex vivo MRI evaluated by dense 3D correspondence with histology
van Engelen, A., de Bruijne, Marleen, Klein, S., Groen, H., Wentzel, J., van der Lugt, A. & Niessen, W., 2011.Research output: Contribution to conference › Conference abstract for conference › Research
- Published
Plaque characterization in ex vivo MRI evaluated by dense 3D correspondence with histology
van Engelen, A., de Bruijne, Marleen, Klein, S., Verhagen, H., Groen, H., Wentzel, J., van der Lugt, A. & Niessen, W., 2011, Medical Imaging 2011: computer-aided diagnosis. Summers, R. M. & van Ginneken, B. (eds.). SPIE - International Society for Optical Engineering, Vol. Part One. 11 p. 796329. (Progress in Biomedical Optics and Imaging; No. 32, Vol. 12).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Three-dimensional carotid ultrasound plaque texture predicts vascular events
van Engelen, A., Wannarong, T., Parraga, G., Niessen, W. J., Fenster, A., Spence, J. D. & de Bruijne, Marleen, 2014, In: Stroke. 45, p. 2695-2701 7 p.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Fully automated measurement of radiological angles in hip dysplasia using CT images
de Raedt, S., de Bruijne, Marleen, Mechlenburg, I., Stilling, M., Rømer, L. & Søballe, K., 2012. 1 p.Research output: Contribution to conference › Conference abstract for conference › Research › peer-review
- Published
Automated measurement of diagnostic angles for hip dysplasia
de Raedt, S., Mechlenburg, I. B., Stilling, M., Mikkelsen, L. R., Søballe, K. & de Bruijne, Marleen, 2013, Medical Imaging 2013: Computer-Aided Diagnosis. Novak, C. L. & Aylward, S. (eds.). SPIE - International Society for Optical Engineering, 10 p. 867009. (Proceedings of S P I E - International Society for Optical Engineering, Vol. 8670).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
A novel computer-based quantitative measurement of vertebral deformity in postmenopausal women: Implications for diagnosis and monitoring
de Bruijne, Marleen, Pettersen, P. C., Lund, M. T., Alexandersen, P., Tankó, L. B., Nielsen, M. & Christiansen, C., 2006, Abstracts of the 28th Annual Meeting of the American Society for Bone and Mineral Research. ASMBRResearch output: Chapter in Book/Report/Conference proceeding › Conference abstract in proceedings › Research › peer-review
Model-based segmentation of vascular images
de Bruijne, Marleen, 2003, Utrecht University, The Netherlands.Research output: Book/Report › Ph.D. thesis › Research
- Submitted
Supervised shape learning for fracture prediction
de Bruijne, Marleen, Nielsen, Mads & Pettersen, P., 2008, (Submitted) 10 Apr 2008Research output: Patent
A pattern classification approach to aorta calcium scoring in radiographs
de Bruijne, Marleen, 2005, Computer Vision for Biomedical Image Applications: ICCV workshop: Computer Vision for Biomedical Image Applications: Current Techniques and Future Trends. <Forlag uden navn>, p. 170-177 (Lecture notes in computer science, Vol. 3765/2005).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Localization and segmentation of aortic endografts using marker detection
de Bruijne, Marleen, Niessen, W. J., Maintz, J. B. A. & Viergever, M. A., 2003, In: IEEE Transactions on Medical Imaging. 22, 4, p. 473- 482Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Spine Shape Predicts Vertebral Fractures in Postmenopausal Women
de Bruijne, Marleen, Pettersen, P. C., A. Ghosh, M. G. Sorensen & Nielsen, Mads, 2008, In: Journal of Bone and Mineral Research. Supl. S, p. S37 1 p.Research output: Contribution to journal › Conference abstract in journal › Research › peer-review
Interactive segmentation of abdominal aortic aneurysms in CTA images
de Bruijne, Marleen, van Ginneken, B., Viergever, M. A. & Niessen, W. J., 2004, In: Medical Image Analysis. 8, 2, p. 127-138Research output: Contribution to journal › Journal article › Research › peer-review
Adapting Active Shape Models for 3D Segmentation of Tubular Structures in Medical Images
de Bruijne, Marleen, van Ginneken, B., Viergever, M. A. & Niessen, W. J., 2003, Information Processing in Medical Imaging: 18th International Conference, IPMI 2003. Ambleside, UK, July 20- 25, 2003. Proceedings. <Forlag uden navn>, p. 136-147 (Lecture notes in computer science, Vol. 2732/2003).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Preface (vols 1-8)
de Bruijne, Marleen, Cattin, P. C., Cotin, S., Padoy, N., Speidel, S., Zheng, Y. & Essert, C., 2021, Medical Image Computing and Computer Assisted Intervention – MICCAI 2021: 24th International Conference, Strasbourg, France, September 27 – October 1, 2021, Proceedings, Part VII. Springer, Vol. 12905 LNCS. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research
- Published
Editorial for the MEDIA MICCAI special issue 2021
de Bruijne, Marleen, Cattin, P. C., Cotin, S., Padoy, N., Speidel, S., Zheng, Y. & Essert, C., Jan 2023, In: Medical Image Analysis. 83, 1 p., 102695.Research output: Contribution to journal › Editorial › Research
- Published
Vertebral Fracture Classification
de Bruijne, Marleen, Pettersen, P. C., Tankó, L. B. & Nielsen, Mads, 2007, Medical Imaging 2007: Image Processing, 18-20 February, 2007, San Diego, California, USA. Pluim, J. P. W. & Reinhardt, J. M. (eds.). SPIE, 10 p. (Proceedings of SPIE; No. 6512).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Quantitative image analysis using statistical models
de Bruijne, Marleen, 2007, International workshop on image analysis in the life sciences: Theory and applications. Johannes Kepler Universität, Linz (Austria), february 28 - March 2, 2007. p. 10 1 p.Research output: Chapter in Book/Report/Conference proceeding › Conference abstract in proceedings › Commissioned
Automated Segmentation of Abdominal Aortic Aneurysms in Multi-spectral MR Images
de Bruijne, Marleen, van Ginneken, B., Bartels, L. W., van der Laan, M. J., Blankensteijn, J. D., Niessen, W. J. & Viergever, M. A., 2003, Medical Image Computing and Computer-Assisted Intervention - MICCAI. <Forlag uden navn>, p. 538-545 (Lecture notes in computer science, Vol. 2879/2003).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Multi-object segmentation using shape particles
de Bruijne, Marleen & Nielsen, M., 2005, Information Processing in Medical Imaging. <Forlag uden navn>, p. 762-773 (Lecture notes in computer science, Vol. 3565/2005).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Vertebral fracture quantification
de Bruijne, Marleen, Lund, M. T., Pettersen, P. & Nielsen, M., 2006, Patent No. WO/2006/087190Research output: Patent
- Published
Active shape model based segmentation of abdominal aortic aneurysms in CTA images
de Bruijne, Marleen, van Ginneken, B., Niessen, W., Maintz, J. & Viergever, M., 2002, MEDICAL IMAGING 2002: IMAGE PROCESSING, VOL 1-3. Vol. 4684. p. 463-474Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Semi-automatic aortic endograft localisation for post-operative evaluation of endovascular aneurysm treatment
de Bruijne, Marleen, Niessen, W., Maintz, J. & Viergever, M., 2001, MEDICAL IMAGING: 2001: IMAGE PROCESSING, PTS 1-3. Vol. 2. p. 395-406Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Supervised shape analysis for risk assessment in osteoporosis
de Bruijne, Marleen & Pettersen, P., 2008, Biomedical Imaging: From Nano to Macro, 2008 IEEE international Symposium on Biomedical Imaging. IEEE Communications Society, Vol. 1-4. p. 1581-1584 4 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Quantitative vertebral morphometry using neighbor-conditional shape models
de Bruijne, Marleen, Lund, M. T., Tankó, L. B., Pettersen, P. C. & Nielsen, M., 2006, Medical Image Computing and Computer-Assisted Intervention – MICCAI 2006: 9th International Conference, Copenhagen, Denmark, October 1-6, 2006. Proceedings, Part I. <Forlag uden navn>, p. 1-8 (Lecture notes in computer science, Vol. 4190/2006).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Model-based segmentation of abdominal aortic aneurysms in CTA images
de Bruijne, Marleen, van Ginneken, B., Niessen, W. J., Loog, M. & Viergever, M. A., 2003, Proceedings of SPIE. p. 1560-1571 (Medical Imaging 2003: Image Processing, Vol. 5032).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Spinal image processing method, involves segmenting image of two vertebrae to obtain data representative of shape and size of vertebrae, and comparing shape and size with predicted unfractured shape and size of vertebrae
de Bruijne, Marleen, Lund, M., Nielsen, Mads & Pettersen, P., 2006, IPC No. G06T-007/00, Patent No. WO2006087190-A1, 24 Aug 2006, Priority date 16 Feb 2005, Priority No. GB003236Research output: Patent
A method of deriving a quantitative measure of a degree of calcification of an aorta
de Bruijne, Marleen, Nielsen, M., Christiansen, C., Conrad-Hansen, L. A. & Lauze, F. B., 2006, Patent No. WO/2006/128729Research output: Patent
- Published
Quantitative vertebral morphometry using neighbor-conditional shape models
de Bruijne, Marleen, Lund, M. T., Tankó, L. B., Pettersen, P. & Nielsen, Mads, 2007, In: Medical Image Analysis. 11, 5, p. 503-512Research output: Contribution to journal › Journal article › Research › peer-review
Shape particle guided tissue classification
de Bruijne, Marleen, 2006, 2006 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'06). IEEE Computer Society Press, p. 64Research 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
Image segmentation by shape particle filtering
de Bruijne, Marleen & Nielsen, M., 2004, Pattern Recognition, 2004. ICPR 2004. Proceedings of the 17th International Conference on. IEEE Signal Processing Society, Vol. 3. p. 722- 725Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Shape Particle Filtering for Image Segmentation
de Bruijne, Marleen & Nielsen, M., 2004, Medical Image Computing and Computer-Assisted Intervention – MICCAI: 7th International Conference, Saint-Malo, France, September 26-29, 2004. Proceedings, Part I. <Forlag uden navn>, p. 168-175 (Lecture notes in computer science, Vol. 3216/2004).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Learning from Imperfect Data: Weak Labels, Shifting Domains, and Small Datasets in Medical Imaging
de Bruijne, Marleen, 2021, Bildverarbeitung für die Medizin 2021: Proceedings, German Workshop on Medical Image Computing, Regensburg, March 7-9, 2021. Springer, p. 1 1 p.Research output: Chapter in Book/Report/Conference proceeding › Conference abstract in proceedings › Research
- Published
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
Leveraging Ellipsoid Bounding Shapes and Fast R-CNN for Enlarged Perivascular Spaces Detection and Segmentation
Zabihi, M., Tangwiriyasakul, C., Ingala, S., Lorenzini, L., Camarasa, R., Barkhof, F., de Bruijne, Marleen, Cardoso, M. J. & Sudre, C. H., 2024, Machine Learning in Medical Imaging - 14th International Workshop, MLMI 2023, Held in Conjunction with MICCAI 2023, Proceedings. Cao, X., Ouyang, X., Xu, X., Rekik, I. & Cui, Z. (eds.). Springer, p. 325-334 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 14349 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
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
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
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
Statistical tracking of tree-like tubular structures with efficient branching detection in 3D medical image data
Wang, X., Heimann, T., Lo, P., Sumkauskaite, M., Puderbach, M., de Bruijne, Marleen, Meinzer, H. P. & Wegner, I., 2012, In: Physics in Medicine and Biology. 57, 16, p. 5325-5342 18 p.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Gray Matter Age Prediction as a Biomarker for Risk of Dementia
Wang, J., Knol, M. J., Tiulpin, A., Dubost, F., de Bruijne, Marleen, Vernooij, M. W., Adams, H. H. H., Ikram, M. A., Niessen, W. J. & Roshchupkin, G. V., 15 Oct 2019, In: Proceedings of the National Academy of Sciences of the United States of America. 116, 42, p. 21213-21218Research output: Contribution to journal › Journal article › Research › peer-review
- Published
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
A computer-aided diagnosis system for the early and differential diagnosis of neurodegenerative disease
Vrooman, H. A., Jasperse, M. M. S., Koek, M., Achterberg, F. V. D. L. A. H. C., de Bruijne, Marleen, Lugt, A. V. D. & Niessen, W. J., 2011, ECR Conference Proceedings 2011.Research output: Chapter in Book/Report/Conference proceeding › Conference abstract in proceedings › Research › peer-review
- Published
Intracranial arteriosclerosis is related to cerebral small vessel disease: a prospective cohort study
Vinke, E. J., Yilmaz, P., van der Toorn, J. E., Fakhry, R., Frenzen, K., Dubost, F., Licher, S., de Bruijne, Marleen, Kavousi, M., Ikram, M. A., Vernooij, M. W. & Bos, D., 2021, In: Neurobiology of Aging. 105, p. 16-24Research output: Contribution to journal › Journal article › Research › peer-review
- Published
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
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
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
- 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
The history of bronchiectasis on CT in cystic fibrosis
Tepper, L. A., de Bruijne, Marleen, Caudri, D., Perez-Rovira, A. & Tiddens, H., 2013, In: Pediatric Pulmonology. 48, S36, p. 354 1 p., 408.Research output: Contribution to journal › Conference abstract in journal › Research › peer-review
- Published
Efficient nonrigid registration using ranked order statistics
Tennakoon, R. B., Bab-Hadiashar, A., de Bruijne, Marleen & Cao, Z., 2013, 2013 IEEE 10th International Symposium on Biomedical Imaging (ISBI). IEEE, p. 496-499 4 p. (International Symposium on Biomedical Imaging. Proceedings).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
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
Nonrigid registration of volumetric images using ranked order statistics
Tennakoon, R., Bab-Hadiashar, A., Cao, Z. & de Bruijne, Marleen, 2014, In: I E E E Transactions on Medical Imaging. 33, 2, p. 422-432 11 p.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Learning COPD Sensitive Filters in Pulmonary CT
Sørensen, L. E. B. L., Lo, P. C. P., Ashraf, H., Sporring, Jon, Nielsen, Mads & de Bruijne, Marleen, 2009, Medical Image Computing and Computer-Assisted Intervention - MICCAI 2009. 7 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Multi-object tracking of human spermatozoa
Sørensen, L. E. B. L., Østergaard, J., Johansen, P. & de Bruijne, Marleen, 2008, Medical Imaging 2008: Image Processing, Conference Proceedings. Reinhardt, J. M. & Pluim, J. P. W. (eds.). SPIE - International Society for Optical Engineering, p. 69142C 12 p. (Proceedings of SPIE; No. 6914).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Quantitative analysis of pulmonary emphysema using local binary patterns
Sørensen, L. E. B. L., Shaker, S. B. & de Bruijne, Marleen, 2010, In: IEEE Transactions on Medical Imaging. 29, 2, p. 559-569 11 p.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Pattern Recognition based Emphysema Quantification
Sørensen, L. E. B. L. & de Bruijne, Marleen, 2008, Proceedings of the 16th Danish Conference on Pattern Recognition and Image Analysis. Olsen, S. I. (ed.). Department of Computer Science, University of Copenhagen, 2 p. (Department of Computer Science. University of Copenhagen. Technical Report; No. 08-10).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research
- Published
Texture Based Emphysema Quantification in Lung CT
Sørensen, L. E. B. L., Shaker, S. B. & de Bruijne, Marleen, 2008, The First International Workshop on Pulmonary Image Analysis: MICCAI 2008 Workshop Proceedings. Brown, M., de Bruijne, M., van Ginneken, B., Kiraly, A., Kuhnigk, J-M., Lorenz, C., Mori, K. & Reinhardt, J. (eds.). Lulu.com, p. 5-14 10 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Texture Classification in Lung CT Using Local Binary Patterns
Sørensen, L. E. B. L., Shaker, S. B. & de Bruijne, Marleen, 2008, Medical Image Computing and Computer-Assisted Intervention - MICCAI 2008: 11th International Conference, New York, NY, USA, September 6-10, 2008, Proceedings, Part I. Metaxas, D., Axel, L., Fichtinger, G. & Szekely, G. (eds.). Springer, p. 934-941 8 p. (Lecture notes in computer science; No. 5241).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Dissimilarity Representations in Lung Parenchyma Classification
Sørensen, L. E. B. L. & de Bruijne, Marleen, 2009, Medical Imaging 2009: Computer-Aided Diagnosis. Karssemeijer, N. & Giger, M. L. (eds.). SPIE - International Society for Optical Engineering, 12 p. (Proceedings of SPIE; No. 7260).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Texture-based analysis of COPD: a data-driven approach
Sørensen, L., Nielsen, Mads, Lo, P. C. P., Ashraf, H., Pedersen, J. J. H. & de Bruijne, Marleen, 2012, In: I E E E Transactions on Medical Imaging. 31, 1, p. 70-78 9 p.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Texture classification in pulmonary CT
Sørensen, L., J. Gangeh, M., B. Shaker, S. & de Bruijne, Marleen, 2011, Lung imaging and computer-aided diagnosis. El-Baz, A. & Suri, J. S. . (eds.). CRC Press, p. 343–367 25 p.Research output: Chapter in Book/Report/Conference proceeding › Book chapter › Research › peer-review
- Published
Image dissimilarity-based quantification of lung disease from CT
Sørensen, L., Loog, M., Lo, P. C. P., Ashraf, H., Dirksen, A., P. W. Duin, R. & de Bruijne, Marleen, 2010, Medical Image Computing and Computer-Assisted Intervention - MICCAI 2010: 13th International Conference, Beijing, China, September 20-24, 2010, Proceedings, Part I. Jiang, T., Navab, N., Pluim, J. P. W. & Viergever, M. A. (eds.). Springer, Vol. Part I. p. 37-44 8 p. (Lecture notes in computer science; No. 6361).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Dissimilarity-based classification of anatomical tree structures
Sørensen, L., Lo, P. C. P., Dirksen, A., Petersen, Jens & de Bruijne, Marleen, 2011, Information Processing in Medical Imaging: 22nd International Conference, IPMI 2011, Kloster Irsee, Germany, July 3-8, 2011. Proceedings. Székely, G. & Hahn, H. K. (eds.). Springer, p. 475-485 11 p. (Lecture notes in computer science, Vol. 6801).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
Dissimilarity-based multiple instance learning
Sørensen, L., Loog, M., Tax, D. M. J., Lee, W., de Bruijne, Marleen & Duin, R. P. W., 2010, Structural, Syntactic, and Statistical Pattern Recognition: Joint IAPR International Workshop, SSPR&SPR 2010, Cesme, Izmir, Turkey, August 18-20, 2010. Proceedings. Hancock, E. R., Wilson, R. C., Windeatt, T., Ulusoy, I. & Escolano, F. (eds.). Springer, p. 129-138 10 p. (Lecture notes in computer science; No. 6218).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Where is VALDO? VAscular Lesions Detection and segmentatiOn challenge at MICCAI 2021
ALFA study, A. S., 2024, In: Medical Image Analysis. 91, 23 p., 103029.Research output: Contribution to journal › Journal article › Research › peer-review
- 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
Bicycle Chain Shape Models
Sommer, Stefan Horst, Tatu, A. J., Chen, C., Jørgensen, D., de Bruijne, Marleen, Loog, M., Nielsen, Mads & Lauze, Francois Bernard, 2009, Computer Vision and Pattern Recognition Workshops, 2009. CVPR Workshops 2009. IEEE Computer Society Conference on Computer Vision and Pattern Recognition.. IEEE, p. 157-163 7 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
The relationship between NT proBNP and CT lung density in long term smokers
Shaker, S. B., Ashraf, H., Rasmussen, T., Lo, P. C. P., de Bruijne, Marleen, Dirksen, A. & Pedersen, J. H., 2012, In: European Respiratory Journal. 40, Supplement 56, p. 103s 1 p., P652.Research output: Contribution to journal › Conference abstract in journal › Research › peer-review
- Published
Factors influencing the decline in lung density in a Danish lung cancer screening cohort
Shaker, S. B., Dirksen, A., Lo, P. C. P., Skovgaard, Lene Theil, de Bruijne, Marleen & Pedersen, J. H., 2012, In: European Respiratory Journal. 40, 5, p. 1142-1148 7 p.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Decline in lung density is accelerated in active smokers
Shaker, S. B., Dirksen, A., Lo, P. C. P., Skovgaard, Lene Theil, de Bruijne, Marleen & Pedersen, J. J. H., 2011. 1 p.Research output: Contribution to conference › Conference abstract for conference › Research › peer-review
- Published
Optimal CT-technique for the detection of emphysema progression
Shaker, S. B., Lo, P. C. P., Wigstrom, L., de Bruijne, Marleen & Dirksen, A., 2010.Research output: Contribution to conference › Conference abstract for conference › 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
- 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
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
ID: 545222
Most downloads
-
3302
downloads
Evaluation of registration methods on thoracic CT: the EMPIRE10 challenge
Research output: Contribution to journal › Journal article › Research › peer-review
Published -
2339
downloads
Atherosclerotic plaque component segmentation in combined carotid MRI and CTA data incorporating class label uncertainty
Research output: Contribution to journal › Journal article › Research › peer-review
Published -
2150
downloads
Distribution, size, shape, growth potential and extent of abdominal aortic calcified deposits predict mortality in postmenopausal women
Research output: Contribution to journal › Journal article › Research › peer-review
Published