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
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), R115, 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
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
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
Multiple instance learning with bag dissimilarities
V Cheplygina, DMJ Tax, M Loog
Pattern recognition 48 (1), 264-275, 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
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
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
Local fisher embedding
D De Ridder, M Loog, MJT Reinders
Proceedings of the 17th International Conference on Pattern Recognition …, 2004
On the behavior of spatial critical points under gaussian blurring a folklore theorem and scale-space constraints
M Loog, J JisseDuistermaat, LMJ Florack
International Conference on Scale-Space Theories in Computer Vision, 183-192, 2001
Contrastive Pessimistic Likelihood Estimation for Semi-Supervised Classification
M Loog
IEEE Transactions on Pattern Analysis and Machine Intelligence 38 (3), 462-475, 2016
A benchmark and comparison of active learning for logistic regression
Y Yang, M Loog
Pattern Recognition 83, 401-415, 2018
Multi-spectral video endoscopy system for the detection of cancerous tissue
R Leitner, M De Biasio, T Arnold, CV Dinh, M Loog, RPW Duin
Pattern Recognition Letters 34 (1), 85-93, 2013
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