Marco Loog

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Robert P.W. DuinDelft University of TechnologyVerified email at tudelft.nl
Bram van GinnekenProfessor of Medical Image Analysis, Radboud UniversityVerified email at radboudumc.nl
David TaxAssistant professor, Delft University of TechnologyVerified email at tudelft.nl
Mads NielsenProfessor of Computer Science, University of CopenhagenVerified email at diku.edu
Veronika CheplyginaIT University CopenhagenVerified email at itu.dk
Marleen de BruijneProfessor of AI in Medical Image Analysis; Erasmus MC Rotterdam and University of CopenhagenVerified email at diku.dk
Jesse H. KrijtheDelft University of TechnologyVerified email at tudelft.nl
Wouter M. KouwEindhoven University of TechnologyVerified email at tue.nl
Erik B DamUniversity of Copenhagen, CerebriuVerified email at di.ku.dk
Wiro NiessenProfessor in Biomedical Image Analysis, Erasmus MC/TU DelftVerified email at erasmusmc.nl
Francois LauzeAssociate Professor of Mathematical Image Analysis, University of CopenhagenVerified email at diku.edu
Michael D. AbramoffProfessor of Ophthalmology and Visual Sciences, Electrical and Computer Engineering and Biomedical EngineeringVerified email at uiowa.edu
Reinhold Haeb-UmbachProfessor of Communications Engineering, University of PaderbornVerified email at nt.uni-paderborn.de
Max ViergeverProfessor of Medical Imaging, University Medical Center UtrechtVerified email at isi.uu.nl
Lauge SørensenAssociate Professor at University of Copenhagen, Senior Researcher at Biomediq A/S and Cerebriu A/SVerified email at diku.dk
Morten KarsdalProfessorVerified email at nordicbioscience.com
Joes StaalStaff Algorithms Engineer at ArmVerified email at staalkemade.nl
Dick de Ridderprofessor bioinformatics, Wageningen University & Research CentreVerified email at wur.nl
Marcel ReindersDelft University of TechnologyVerified email at tudelft.nl
Yazhou YangDelft University of Technology & NUDTVerified email at tudelft.nl

Marco Loog

Delft University of Technology & University of Copenhagen

Verified email at tudelft.nl - Homepage

Pattern Recognition Machine Learning


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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	922	2004
Multiclass Linear Dimension Reduction by Weighted Pairwise Fisher Criteria M Loog, RPW Duin, R Haeb-Umbach IEEE Transactions on Pattern Analysis and Machine Intelligence 23 (7), 2001	588	2001
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	488	2006
Linear dimensionality reduction via a heteroscedastic extension of LDA: the Chernoff criterion M Loog, RPW Duin Pattern Analysis and Machine Intelligence, IEEE Transactions on 26 (6), 732-739, 2004	357*	2004
Quantitative comparison of spot detection methods in fluorescence microscopy I Smal, M Loog, W Niessen, E Meijering IEEE transactions on medical imaging 29 (2), 282-301, 2009	260	2009
A computer-aided diagnosis system for detection of lung nodules in chest radiographs with an evaluation on a public database AMR Schilham, B Van Ginneken, M Loog Medical Image Analysis 10 (2), 247-258, 2006	178	2006
Identification of progressors in osteoarthritis by combining biochemical and MRI-based markers EB Dam, M Loog, C Christiansen, I Byrjalsen, J Folkesson, M Nielsen, ... Arthritis research & therapy 11 (4), 1-11, 2009	122	2009
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
On combining computer-aided detection systems M Niemeijer, M Loog, MD Abramoff, MA Viergever, M Prokop, ... IEEE Transactions on Medical Imaging 30 (2), 215-223, 2010	115	2010
Segmentation of the posterior ribs in chest radiographs using iterated contextual pixel classification M Loog, B Ginneken IEEE Transactions on Medical Imaging 25 (5), 602-611, 2006	108	2006
A review of domain adaptation without target labels WM Kouw, M Loog IEEE transactions on pattern analysis and machine intelligence 43 (3), 766-785, 2019	96	2019
An introduction to domain adaptation and transfer learning WM Kouw, M Loog arXiv, 2019	96	2019
Multiple instance learning with bag dissimilarities V Cheplygina, DMJ Tax, M Loog Pattern recognition 48 (1), 264-275, 2015	94	2015
Diagnostic classification of arterial spin labeling and structural MRI in presenile early stage dementia EE Bron, RME Steketee, GC Houston, RA Oliver, HC Achterberg, M Loog, ... Human brain mapping 35 (9), 4916-4931, 2014	85	2014
DRIVE: digital retinal images for vessel extraction M Niemeijer, JJ Staal, B Ginneken, M Loog, MD Abramoff Methods for evaluating segmentation and indexing techniques dedicated to …, 2004	83	2004
A benchmark and comparison of active learning for logistic regression Y Yang, M Loog Pattern Recognition 83, 401-415, 2018	78	2018
Filter learning: application to suppression of bony structures from chest radiographs M Loog, B van Ginneken, AMR Schilham Medical image analysis 10 (6), 826-840, 2006	66	2006
Contrastive Pessimistic Likelihood Estimation for Semi-Supervised Classification M Loog IEEE Transactions on Pattern Analysis and Machine Intelligence 38 (3), 462-475, 2016	64	2016
The improbability of Harris interest points M Loog, F Lauze IEEE Transactions on Pattern Analysis and Machine Intelligence 32 (6), 1141-1147, 2010	63	2010
Local fisher embedding D De Ridder, M Loog, MJT Reinders Proceedings of the 17th International Conference on Pattern Recognition …, 2004	59	2004

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