Marleen de Bruijne

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Wiro NiessenProfessor in Biomedical Image Analysis, Erasmus MC/TU DelftVerified email at erasmusmc.nl
Mads NielsenProfessor of Computer Science, University of CopenhagenVerified email at diku.edu
Pechin LoIntuitive SurgicalVerified email at intusurg.com
Jens PetersenComputer Science, University of CopenhagenVerified email at diku.dk
Jesper Holst PedersenOverlæge, dr.medVerified email at regionh.dk
Meike VernooijProfessor of Population ImagingVerified email at erasmusmc.nl
Lauge SørensenAssociate Professor at University of Copenhagen, Senior Researcher at Biomediq A/S and Cerebriu A/SVerified email at diku.dk
Aad van der LugtHoogleraar Radiologie, Erasmus MC RotterdamVerified email at erasmusmc.nl
Bram van GinnekenProfessor of Medical Image Analysis, Radboud UniversityVerified email at radboudumc.nl
Florian DubostPostdoctoral Researcher, Stanford UniversityVerified email at stanford.edu
Adria Perez-RoviraDaon IncVerified email at daon.com
Aasa FeragenProfessor, DTU ComputeVerified email at dtu.dk
Stefan KleinBiomedical Imaging Group Rotterdam, Erasmus MC, the NetherlandsVerified email at erasmusmc.nl
Marco LoogDelft University of Technology & University of CopenhagenVerified email at tudelft.nl
Max ViergeverProfessor of Medical Imaging, University Medical Center UtrechtVerified email at isi.uu.nl
Arna van EngelenKing's College LondonVerified email at kcl.ac.uk
Haseem AshrafAssociate Professor - Division of Medicine and Laboratory SciencesVerified email at medisin.uio.no
Veronika CheplyginaIT University CopenhagenVerified email at itu.dk
Francois LauzeAssociate Professor of Mathematical Image Analysis, University of CopenhagenVerified email at diku.edu
Gerda BortsovaErasmus MCVerified email at erasmusmc.nl

Marleen de Bruijne

Professor of AI in Medical Image Analysis; Erasmus MC Rotterdam and University of Copenhagen

Verified email at diku.dk

Medical Image Analysis Machine Learning in Medical Imaging Computer Aided Diagnosis Shape Analysis COPD


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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	426	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	362	2010
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	298	2012
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	248	2019
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	208	2012
Machine learning approaches in medical image analysis: From detection to diagnosis M de Bruijne Medical Image Analysis 33, 94-97, 2016	200	2016
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	189	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	175	2015
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	173	2014
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	156	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	146	2015
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	144	2010
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	140*	2016
Scalable kernels for graphs with continuous attributes. A Feragen, N Kasenburg, J Petersen, M de Bruijne, KM Borgwardt NIPS, 216-224, 2013	140	2013
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	135	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	119	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	114*	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	88	2009
Quantitative vertebral morphometry using neighbor-conditional shape models M De Bruijne, MT Lund, LB Tanko, PC Pettersen, M Nielsen Medical image analysis 11 (5), 503-512, 2007	85	2007
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	83	2012

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