Marco Loog
Marco Loog
Delft University of Technology & University of Copenhagen
Verified email at - Homepage
Cited by
Cited by
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
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
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
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
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
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
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
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
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
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
Multiple instance learning with bag dissimilarities
V Cheplygina, DMJ Tax, M Loog
Pattern recognition 48 (1), 264-275, 2015
A review of domain adaptation without target labels
WM Kouw, M Loog
IEEE transactions on pattern analysis and machine intelligence, 2019
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
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
A benchmark and comparison of active learning for logistic regression
Y Yang, M Loog
Pattern Recognition 83, 401-415, 2018
An introduction to domain adaptation and transfer learning
WM Kouw, M Loog
arXiv, 2019
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
The improbability of Harris interest points
M Loog, F Lauze
IEEE Transactions on Pattern Analysis and Machine Intelligence 32 (6), 1141-1147, 2010
Contrastive Pessimistic Likelihood Estimation for Semi-Supervised Classification
M Loog
IEEE Transactions on Pattern Analysis and Machine Intelligence 38 (3), 462-475, 2016
Local fisher embedding
D De Ridder, M Loog, MJT Reinders
Proceedings of the 17th International Conference on Pattern Recognition …, 2004
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