Veronika Cheplygina
Citado por
Citado por
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
Multiple instance learning: A survey of problem characteristics and applications
MA Carbonneau, V Cheplygina, E Granger, G Gagnon
Pattern Recognition 77, 329-353, 2018
Multiple instance learning with bag dissimilarities
V Cheplygina, DMJ Tax, M Loog
Pattern recognition 48 (1), 264-275, 2015
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
Common limitations of image processing metrics: A picture story
A Reinke, M Eisenmann, MD Tizabi, CH Sudre, T Rädsch, M Antonelli, ...
arXiv preprint arXiv:2104.05642, 2021
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
Single-vs. multiple-instance classification
E Alpaydın, V Cheplygina, M Loog, DMJ Tax
Pattern recognition 48 (9), 2831-2838, 2015
Ten simple rules for getting started on Twitter as a scientist
V Cheplygina, F Hermans, C Albers, N Bielczyk, I Smeets
PLoS Computational Biology 16 (2), e1007513, 2020
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
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
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
On classification with bags, groups and sets
V Cheplygina, DMJ Tax, M Loog
Pattern recognition letters 59, 11-17, 2015
Pruned random subspace method for one-class classifiers
V Cheplygina, DMJ Tax
International Workshop on Multiple Classifier Systems, 96-105, 2011
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
Early experiences with crowdsourcing airway annotations in chest CT
V Cheplygina, A Perez-Rovira, W Kuo, HAWM Tiddens, M Bruijne
Deep Learning and Data Labeling for Medical Applications, 209-218, 2016
High-level prior-based loss functions for medical image segmentation: A survey
R El Jurdi, C Petitjean, P Honeine, V Cheplygina, F Abdallah
Computer Vision and Image Understanding 210, 103248, 2021
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
Intravascular Imaging and Computer Assisted Stenting, and Large-Scale Annotation of Biomedical Data and Expert Label Synthesis
MJ Cardoso, T Arbel, SL Lee, V Cheplygina, S Balocco, D Mateus, ...
Lecture Notes in Computer Science 10552, 2017
Automatic Emphysema Detection using Weakly Labeled HRCT Lung Images
IP Pena, V Cheplygina, S Paschaloudi, M Vuust, J Carl, UM Weinreich, ...
PLoS ONE 13 (10), e0205397, 2018
Crowd disagreement about medical images is informative
V Cheplygina, JPW Pluim
arXiv preprint arXiv:1806.08174, 2018
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