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Marco Loog
Marco Loog
Radboud University
Dirección de correo verificada de ru.nl
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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
10832004
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
6682006
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
6382019
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
6182001
An introduction to domain adaptation and transfer learning
WM Kouw, M Loog
arXiv, 2019
4872019
Linear dimensionality reduction via a heteroscedastic extension of LDA: the Chernoff criterion
RPW Duin, M Loog
IEEE transactions on pattern analysis and machine intelligence 26 (6), 732-739, 2004
3832004
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
3252009
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
2242006
The shape of learning curves: a review
T Viering, M Loog
IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (6), 7799-7819, 2022
1932022
A benchmark and comparison of active learning for logistic regression
Y Yang, M Loog
Pattern Recognition 83, 401-415, 2018
1802018
Deep Learning and Data Labeling for Medical Applications: First International Workshop, LABELS 2016, and Second International Workshop, DLMIA 2016, Held in Conjunction with …
G Carneiro, D Mateus, L Peter, A Bradley, JMRS Tavares, V Belagiannis, ...
Springer, 2016
1722016
Multiple instance learning with bag dissimilarities
V Cheplygina, DMJ Tax, M Loog
Pattern recognition 48 (1), 264-275, 2015
1652015
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
1562010
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, 1-11, 2009
1412009
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
1382010
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
1192014
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
1152006
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
1042004
Active learning using uncertainty information
Y Yang, M Loog
2016 23rd International Conference on Pattern Recognition (ICPR), 2646-2651, 2016
972016
Contrastive Pessimistic Likelihood Estimation for Semi-Supervised Classification
M Loog
IEEE Transactions on Pattern Analysis and Machine Intelligence 38 (3), 462-475, 2016
882016
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Artículos 1–20