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 SørensenFormerly Associated Professor at University of Copenhagen; Head of Development, Cerebriu A/SVerified email at diku.dk
Florian DubostPostdoctoral Researcher, Stanford UniversityVerified email at stanford.edu
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
Adria Perez-RoviraDaon IncVerified email at daon.com
Gerda BortsovaErasmus MCVerified email at erasmusmc.nl
Veronika CheplyginaIT University CopenhagenVerified email at itu.dk
Aasa FeragenProfessor, DTU ComputeVerified email at dtu.dk
Arna van EngelenKing's College LondonVerified email at kcl.ac.uk
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
Gijs van TulderRadboud University, Nijmegen, the NetherlandsVerified email at cs.ru.nl
Max ViergeverProfessor of Medical Imaging, University Medical Center UtrechtVerified email at isi.uu.nl
Mathilde Marie Winkler WilleSpeciallæge i radiologi, ph.d. Nordsjællands HospitalVerified email at regionh.dk

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 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	454	2011
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	447	2019
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	394	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	341	2012
Machine learning approaches in medical image analysis: From detection to diagnosis M de Bruijne Medical Image Analysis 33, 94-97, 2016	265	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	238	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	224	2014
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	217	2015
Adapting active shape models for 3D segmentation of tubular structures in medical images M Bruijne, B Ginneken, MA Viergever, WJ Niessen Biennial International Conference on Information Processing in Medical …, 2003	196	2003
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	176	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	171	2011
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	167*	2016
Scalable kernels for graphs with continuous attributes A Feragen, N Kasenburg, J Petersen, M de Bruijne, K Borgwardt Advances in neural information processing systems 26, 2013	156	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	151	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	145	2004
A texton-based approach for the classification of lung parenchyma in CT images MJ Gangeh, L Sørensen, SB Shaker, MS Kamel, M Bruijne, M Loog International conference on medical image computing and computer-assisted …, 2010	126	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	124*	2012
Lung imaging and computer-aided diagnosis A El-Baz, JS Suri, ( editors) CRC Press, 2011	100	2011
Three-Dimensional Carotid Ultrasound Plaque Texture Predicts Vascular Events A van Engelen, T Wannarong, G Parraga, WJ Niessen, A Fenster, ... Stroke 45 (9), 2695-2701, 2014	93	2014
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	92	2012

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