متابعة
Veronika Cheplygina
Veronika Cheplygina
IT University Copenhagen
بريد إلكتروني تم التحقق منه على itu.dk - الصفحة الرئيسية
عنوان
عدد مرات الاقتباسات
عدد مرات الاقتباسات
السنة
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
9932019
Multiple instance learning: A survey of problem characteristics and applications‏
MA Carbonneau, V Cheplygina, E Granger, G Gagnon‏
Pattern recognition 77, 329-353, 2018‏
8032018
Machine learning for medical imaging: methodological failures and recommendations for the future‏
G Varoquaux, V Cheplygina‏
NPJ digital medicine 5 (1), 48, 2022‏
4772022
Metrics reloaded: recommendations for image analysis validation‏
L Maier-Hein, A Reinke, P Godau, MD Tizabi, F Buettner, E Christodoulou, ...‏
Nature methods 21 (2), 195-212, 2024‏
321*2024
Common limitations of image processing metrics: A picture story‏
A Reinke, MD Tizabi, CH Sudre, M Eisenmann, T Rädsch, M Baumgartner, ...‏
arXiv preprint arXiv:2104.05642, 2021‏
2172021
Multiple instance learning with bag dissimilarities‏
V Cheplygina, DMJ Tax, M Loog‏
Pattern recognition 48 (1), 264-275, 2015‏
1652015
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
1072021
Understanding metric-related pitfalls in image analysis validation‏
A Reinke, MD Tizabi, M Baumgartner, M Eisenmann, D Heckmann-Nötzel, ...‏
Nature methods 21 (2), 182-194, 2024‏
972024
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
962018
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
872019
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
822020
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
772019
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
612016
Single-vs. multiple-instance classification‏
E Alpaydın, V Cheplygina, M Loog, DMJ Tax‏
Pattern recognition 48 (9), 2831-2838, 2015‏
612015
Risk of training diagnostic algorithms on data with demographic bias‏
S Abbasi-Sureshjani, R Raumanns, BEJ Michels, G Schouten, ...‏
Interpretable and Annotation-Efficient Learning for Medical Image Computing …, 2020‏
602020
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
572014
On classification with bags, groups and sets‏
V Cheplygina, DMJ Tax, M Loog‏
Pattern recognition letters 59, 11-17, 2015‏
482015
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
472017
Early experiences with crowdsourcing airway annotations in chest CT‏
V Cheplygina, A Perez-Rovira, W Kuo, HAWM Tiddens, M De Bruijne‏
International Workshop on Deep Learning in Medical Image Analysis, 209-218, 2016‏
382016
Bag dissimilarities for multiple instance learning‏
DMJ Tax, M Loog, RPW Duin, V Cheplygina, WJ Lee‏
Similarity-Based Pattern Recognition: First International Workshop, SIMBAD …, 2011‏
382011
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مقالات 1–20