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 | 1061 | 2004 |
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 | 648 | 2006 |
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 | 613 | 2001 |
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 | 524 | 2019 |
An introduction to domain adaptation and transfer learning WM Kouw, M Loog arXiv, 2019 | 389 | 2019 |
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 | 378* | 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 | 312 | 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 | 217 | 2006 |
A benchmark and comparison of active learning for logistic regression Y Yang, M Loog Pattern Recognition 83, 401-415, 2018 | 157 | 2018 |
Multiple instance learning with bag dissimilarities V Cheplygina, DMJ Tax, M Loog Pattern recognition 48 (1), 264-275, 2015 | 151 | 2015 |
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 | 151 | 2010 |
Deep learning and data labeling for medical applications G Carneiro, D Mateus, L Peter, A Bradley, JMRS Tavares, V Belagiannis, ... | 146* | 2016 |
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 Medical Image Computing and Computer-Assisted Intervention–MICCAI 2010: 13th …, 2010 | 138 | 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, 1-11, 2009 | 137 | 2009 |
The shape of learning curves: a review T Viering, M Loog IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (6), 7799-7819, 2022 | 118 | 2022 |
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 | 115 | 2006 |
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 | 114 | 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 | 101 | 2004 |
Contrastive Pessimistic Likelihood Estimation for Semi-Supervised Classification M Loog IEEE Transactions on Pattern Analysis and Machine Intelligence 38 (3), 462-475, 2016 | 86 | 2016 |
Advanced intelligent computing theories and applications DSHY Gan, PGMM Gromiha | 84* | 2010 |