Veronika Cheplygina
Title
Cited by
Cited by
Year
Multiple instance learning: A survey of problem characteristics and applications
MA Carbonneau, V Cheplygina, E Granger, G Gagnon
Pattern Recognition 77, 329-353, 2018
1422018
Not-so-supervised: a survey of semi-supervised, multi-instance, and transfer learning in medical image analysis
V Cheplygina, M de Bruijne, JPW Pluim
Medical image analysis 54, 280-296, 2019
1222019
Multiple instance learning with bag dissimilarities
V Cheplygina, DMJ Tax, M Loog
Pattern recognition 48 (1), 264-275, 2015
852015
Dissimilarity-based Ensembles for Multiple Instance Learning
V Cheplygina, DMJ Tax, M Loog
Transactions on Neural Networks and Learning Systems 27 (6), 1379 - 1391, 2016
432016
Single-vs. multiple-instance classification
E Alpaydın, V Cheplygina, M Loog, DMJ Tax
Pattern recognition 48 (9), 2831-2838, 2015
372015
On classification with bags, groups and sets
V Cheplygina, DMJ Tax, M Loog
Pattern recognition letters 59, 11-17, 2015
362015
Pruned random subspace method for one-class classifiers
V Cheplygina, DMJ Tax
International Workshop on Multiple Classifier Systems, 96-105, 2011
342011
Classification of COPD with Multiple Instance Learning
V Cheplygina, L Sørensen, D Tax, JH Pedersen, M Loog, M de Bruijne
International Conference on Pattern Recognition, 1508-1513, 2014
312014
Bag dissimilarities for multiple instance learning
DMJ Tax, M Loog, RPW Duin, V Cheplygina, WJ Lee
International Workshop on Similarity-Based Pattern Recognition, 222-234, 2011
282011
Transfer learning for multi-center classification of chronic obstructive pulmonary disease
V Cheplygina, IP Pena, JH Pedersen, DA Lynch, L Sørensen, ...
Journal of Biomedical and Health Informatics 22 (5), 1486 - 1496, 2018
272018
Early experiences with crowdsourcing airway annotations in chest CT
V Cheplygina, A Perez-Rovira, W Kuo, HAWM Tiddens, M De Bruijne
Deep Learning and Data Labeling for Medical Applications, 209-218, 2016
172016
Label Stability in Multiple Instance Learning
V Cheplygina, L Sørensen, DMJ Tax, M de Bruijne, M Loog
Medical Image Computing and Computer Assisted Interventions, 539-546, 2015
162015
Bridging structure and feature representations in graph matching
WJ Lee, V Cheplygina, DMJ Tax, M Loog, RPW Duin
International Journal of Pattern Recognition and Artificial Intelligence 26 (05), 2012
132012
Cats or CAT scans: transfer learning from natural or medical image source data sets?
V Cheplygina
Current Opinion in Biomedical Engineering 9, 21-27, 2019
122019
A survey of crowdsourcing in medical image analysis
S Ørting, A Doyle, A van Hilten, M Hirth, O Inel, CR Madan, P Mavridis, ...
arXiv preprint arXiv:1902.09159, 2019
122019
On the informativeness of asymmetric dissimilarities
Y Plasencia-Calaña, V Cheplygina, RPW Duin, EB García-Reyes, ...
International Workshop on Similarity-Based Pattern Recognition, 75-89, 2013
122013
MIL, A Matlab Toolbox for Multiple Instance Learning
DMJ Tax, V Cheplygina
http://prlab.tudelft.nl/david-tax/mil.html, 2015
10*2015
Does one rotten apple spoil the whole barrel?
V Cheplygina, DMJ Tax, M Loog
International Conference on Pattern Recognition, 2012
92012
Asymmetric similarity-weighted ensembles for image segmentation
V Cheplygina, A van Opbroek, MA Ikram, MW Vernooij, M de Bruijne
International Symposium on Biomedical Imaging, 273 - 277, 2016
82016
Characterizing multiple instance datasets
V Cheplygina, DMJ Tax
International Workshop on Similarity-Based Pattern Recognition, 15-27, 2015
82015
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