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Cited by
All
Since 2019
Citations
48
48
h-index
2
2
i10-index
1
1
0
18
9
2021
2022
2023
2024
7
14
17
8
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Co-authors
Veronika Cheplygina
IT University Copenhagen
Verified email at itu.dk
Gerard Schouten
Professor AI & Data at Fontys University of Applied Science, School of ICT
Verified email at fontys.nl
Samaneh Abbasi Sureshjani
Roche
Verified email at roche.com
Josien Pluim
Professor of Medical Image Analysis, Eindhoven University of Technology / UMC Utrecht
Verified email at tue.nl
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Ralf Raumanns
Fontys University of Applied Science
, Venlo, Eindhoven & Eindhoven University of Technology
Verified email at fontys.nl
machine learning
multi-task learning
medical image analysis
crowdsourcing
bias
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Year
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
44
2020
ENHANCE (ENriching Health data by ANnotations of Crowd and Experts): A case study for skin lesion classification
R Raumanns, G Schouten, M Joosten, JPW Pluim, V Cheplygina
arXiv preprint arXiv:2107.12734
, 2021
3
2021
Multi-task ensembles with crowdsourced features improve skin lesion diagnosis
R Raumanns, EK Contar, G Schouten, V Cheplygina
arXiv preprint arXiv:2004.14745
, 2020
1
2020
Multi-task Learning with Crowdsourced Features Improves Skin Lesion Diagnosis
R Raumanns, EK Contar, G Schouten, V Cheplygina
arXiv preprint arXiv:2004.14745
, 2020
2020
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