Bram van Ginneken

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Mathias ProkopProfessor of Radiology, RadboudumcVerified email at radboudumc.nl
Clara I. SánchezFull Professor, Informatics Institute, University of AmsterdamVerified email at uva.nl
Max ViergeverProfessor of Medical Imaging, University Medical Center UtrechtVerified email at isi.uu.nl
Pim de JongUMC UtrechtVerified email at umcutrecht.nl
Meindert NiemeijerCTO, IDx LLCVerified email at eyediagnosis.net
Eva van RikxoortSenior researcher, Diagnostic Image Analysis Group, Radboud University Nijmegen Medical CentreVerified email at rad.umcn.nl
Michael D. AbramoffProfessor of Ophthalmology and Visual Sciences, Electrical and Computer Engineering and Biomedical EngineeringVerified email at uiowa.edu
Colin JacobsRadboudumc, Nijmegen, The NetherlandsVerified email at radboudumc.nl
Francesco CiompiRadboud University Medical Center, NijmegenVerified email at radboudumc.nl
Ivana IsgumUniversity Professor of AI and Medical Imaging, Amsterdam University Medical CenterVerified email at amsterdamumc.nl
Geert LitjensRadboud University Medical CenterVerified email at radboudumc.nl
Jan-Willem LammersHoogleraar Longziekten UMC UtrechtVerified email at umcutrecht.nl
Keelin MurphyResearcher, Radboud University Medical CenterVerified email at radboudumc.nl
Marco LoogDelft University of Technology & University of CopenhagenVerified email at tudelft.nl
Arnaud Arindra Adiyoso SetioSiemens HealthineersVerified email at siemens-healthineers.com
Nico KarssemeijerProfessor of Computer Aided Diagnosis, Radboud University NijmegenVerified email at radboudumc.nl
Joes StaalStaff Algorithms Engineer at ArmVerified email at staalkemade.nl
Jeroen van der LaakRadboud University Medical CenterVerified email at radboudumc.nl
Josien PluimProfessor of Medical Image Analysis, Eindhoven University of Technology / UMC UtrechtVerified email at tue.nl
Onno M MetsMD PhDVerified email at umcutrecht.nl

Bram van Ginneken

Professor of Medical Image Analysis, Radboud University

Verified email at radboudumc.nl - Homepage

Medical Image Analysis Medical Imaging Deep Learning Computer-Aided Diagnosis Machine Learning


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A survey on deep learning in medical image analysis G Litjens, T Kooi, BE Bejnordi, AAA Setio, F Ciompi, M Ghafoorian, ... Medical image analysis 42, 60-88, 2017	5318	2017
Ridge-based vessel segmentation in color images of the retina J Staal, MD Abràmoff, M Niemeijer, MA Viergever, B Van Ginneken IEEE transactions on medical imaging 23 (4), 501-509, 2004	2985	2004
Reflectance and texture of real-world surfaces KJ Dana, B Van Ginneken, SK Nayar, JJ Koenderink ACM Transactions On Graphics (TOG) 18 (1), 1-34, 1999	1795	1999
Guest editorial deep learning in medical imaging: Overview and future promise of an exciting new technique H Greenspan, B Van Ginneken, RM Summers IEEE Transactions on Medical Imaging 35 (5), 1153-1159, 2016	1167	2016
Diagnostic assessment of deep learning algorithms for detection of lymph node metastases in women with breast cancer BE Bejnordi, M Veta, PJ Van Diest, B Van Ginneken, N Karssemeijer, ... Jama 318 (22), 2199-2210, 2017	1147	2017
Comparative study of retinal vessel segmentation methods on a new publicly available database M Niemeijer, J Staal, B van Ginneken, M Loog, MD Abramoff Medical imaging 2004: image processing 5370, 648-656, 2004	905	2004
Comparison and evaluation of methods for liver segmentation from CT datasets T Heimann, B Van Ginneken, MA Styner, Y Arzhaeva, V Aurich, C Bauer, ... IEEE transactions on medical imaging 28 (8), 1251-1265, 2009	891	2009
Pulmonary nodule detection in CT images: false positive reduction using multi-view convolutional networks AAA Setio, F Ciompi, G Litjens, P Gerke, C Jacobs, SJ Van Riel, ... IEEE transactions on medical imaging 35 (5), 1160-1169, 2016	747	2016
Active shape model segmentation with optimal features B Van Ginneken, AF Frangi, JJ Staal, BM ter Haar Romeny, MA Viergever Medical Imaging, IEEE Transactions on 21 (8), 924-933, 2002	684	2002
Computer analysis of computed tomography scans of the lung: a survey I Sluimer, A Schilham, M Prokop, B Van Ginneken IEEE transactions on medical imaging 25 (4), 385-405, 2006	652	2006
Automatic detection of red lesions in digital color fundus photographs M Niemeijer, B Van Ginneken, J Staal, MSA Suttorp-Schulten, ... IEEE Transactions on medical imaging 24 (5), 584-592, 2005	612	2005
Deep learning as a tool for increased accuracy and efficiency of histopathological diagnosis G Litjens, CI Sánchez, N Timofeeva, M Hermsen, I Nagtegaal, I Kovacs, ... Scientific reports 6 (1), 1-11, 2016	607	2016
Computer-aided diagnosis in chest radiography: a survey B Van Ginneken, BMTH Romeny, MA Viergever IEEE Transactions on medical imaging 20 (12), 1228-1241, 2001	584	2001
Large scale deep learning for computer aided detection of mammographic lesions T Kooi, G Litjens, B Van Ginneken, A Gubern-Mérida, CI Sánchez, ... Medical image analysis 35, 303-312, 2017	554	2017
Retinopathy online challenge: automatic detection of microaneurysms in digital color fundus photographs M Niemeijer, B Van Ginneken, MJ Cree, A Mizutani, G Quellec, ... IEEE transactions on medical imaging 29 (1), 185-195, 2009	482	2009
Segmentation of anatomical structures in chest radiographs using supervised methods: a comparative study on a public database B Van Ginneken, MB Stegmann, M Loog Medical image analysis 10 (1), 19-40, 2006	465	2006
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	420	2011
Multi-atlas-based segmentation with local decision fusion—application to cardiac and aortic segmentation in CT scans I Isgum, M Staring, A Rutten, M Prokop, MA Viergever, B Van Ginneken IEEE transactions on medical imaging 28 (7), 1000-1010, 2009	412	2009
Validation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images: the LUNA16 challenge AAA Setio, A Traverso, T De Bel, MSN Berens, C van den Bogaard, ... Medical image analysis 42, 1-13, 2017	407	2017
Automated detection and differentiation of drusen, exudates, and cotton-wool spots in digital color fundus photographs for diabetic retinopathy diagnosis M Niemeijer, B van Ginneken, SR Russell, MSA Suttorp-Schulten, ... Investigative Ophthalmology & Visual Science 48 (5), 2260-2267, 2007	405	2007

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