Marleen de Bruijne
Marleen de Bruijne
Professor of AI in Medical Image Analysis; Erasmus MC Rotterdam and University of Copenhagen
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Evaluation of registration methods on thoracic CT: the EMPIRE10 challenge
K Murphy, B Van Ginneken, JM Reinhardt, S Kabus, K Ding, X Deng, ...
IEEE transactions on medical imaging 30 (11), 1901-1920, 2011
Quantitative analysis of pulmonary emphysema using local binary patterns
L Sørensen, SB Shaker, M De Bruijne
Medical Imaging, IEEE Transactions on 29 (2), 559-569, 2010
Not-so-supervised: a survey of semi-supervised, multi-instance, and transfer learning in medical image analysis
V Cheplygina, M de Bruijne, JPW Pluim
Medical image analysis 54, 280-296, 2019
A genome-wide association study identifies five loci influencing facial morphology in Europeans
F Liu, F Van Der Lijn, C Schurmann, G Zhu, MM Chakravarty, PG Hysi, ...
PLoS Genet 8 (9), e1002932, 2012
Machine learning approaches in medical image analysis: From detection to diagnosis
M de Bruijne
Medical Image Analysis 33, 94-97, 2016
Extraction of Airways from CT (EXACT’09)
P Lo, B van Ginneken, J Reinhardt, T Y., P de Jong, B Irving, C Fetita, ...
IEEE Transactions on Medical Imaging 31 (11), 2093-2107, 2012
Transfer learning improves supervised image segmentation across imaging protocols
A Van Opbroek, MA Ikram, MW Vernooij, M De Bruijne
IEEE transactions on medical imaging 34 (5), 1018-1030, 2014
Adapting active shape models for 3D segmentation of tubular structures in medical images
M de Bruijne, B van Ginneken, MA Viergever, WJ Niessen
Biennial International Conference on Information Processing in Medical …, 2003
MRBrainS Challenge: Online Evaluation Framework for Brain Image Segmentation in 3T MRI Scans
AM Mendrik, KL Vincken, HJ Kuijf, M Breeuwer, WH Bouvy, J de Bresser, ...
Computational Intelligence and Neuroscience, 2015
2D–3D shape reconstruction of the distal femur from stereo X-ray imaging using statistical shape models
N Baka, BL Kaptein, M de Bruijne, T van Walsum, JE Giphart, WJ Niessen, ...
Medical image analysis 15 (6), 840-850, 2011
PRAGMA-CF. A Quantitative Structural Lung Disease Computed Tomography Outcome in Young Children with Cystic Fibrosis
T Rosenow, MCJ Oudraad, CP Murray, L Turkovic, W Kuo, M de Bruijne, ...
American journal of respiratory and critical care medicine 191 (10), 1158-1165, 2015
Combining Generative and Discriminative Representation Learning for Lung CT Analysis With Convolutional Restricted Boltzmann Machines
G van Tulder, M de Bruijne
IEEE transactions on medical imaging 35 (5), 1262-1272, 2016
Scalable kernels for graphs with continuous attributes.
A Feragen, N Kasenburg, J Petersen, M de Bruijne, KM Borgwardt
NIPS, 216-224, 2013
Vessel-guided airway tree segmentation: A voxel classification approach
P Lo, J Sporring, H Ashraf, JJH Pedersen, M de Bruijne
Medical image analysis 14 (4), 527-538, 2010
Interactive segmentation of abdominal aortic aneurysms in CTA images
M De Bruijne, B Van Ginneken, MA Viergever, WJ Niessen
Medical Image Analysis 8, 127–138, 2004
A texton-based approach for the classification of lung parenchyma in CT images
MJ Gangeh, L Sørensen, SB Shaker, MS Kamel, M De Bruijne, M Loog
International Conference on Medical Image Computing and Computer-Assisted …, 2010
Texture-based analysis of COPD: a data-driven approach
L Sørensen, M Nielsen, P Lo, H Ashraf, JH Pedersen, M De Bruijne
Medical Imaging, IEEE Transactions on 31 (1), 70-78, 2012
Lung imaging and computer-aided diagnosis
A El-Baz, JS Suri, ( editors)
CRC Press, 2011
Mass preserving image registration for lung CT
V Gorbunova, J Sporring, P Lo, M Loeve, HA Tiddens, M Nielsen, ...
Medical image analysis 16 (4), 786-795, 2012
Cystic Fibrosis: Are Volumetric Ultra-Low-Dose Expiratory CT Scans Sufficient for Monitoring Related Lung Disease?
M Loeve, MH Lequin, M de Bruijne, IJC Hartmann, K Gerbrands, ...
Radiology 253 (1), 223-229, 2009
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