Veronika Cheplygina
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
Machine learning for medical imaging: methodological failures and recommendations for the future
2022 · 544 Zit. · npj Digital Medicine
Metrics reloaded: recommendations for image analysis validation
2024 · 344 Zit. · Nature Methods
Understanding metric-related pitfalls in image analysis validation
2024 · 154 Zit. · Nature Methods
A Survey of Crowdsourcing in Medical Image Analysis
2020 · 48 Zit. · Human Computation
A Survey of Crowdsourcing in Medical Image Analysis
2020 · 47 Zit. · Human Computation
Understanding metric-related pitfalls in image analysis validation
2023 · 20 Zit. · arXiv (Cornell University)
Biomedical image analysis competitions: The state of current participation practice
2022 · 17 Zit. · arXiv (Cornell University)
Confidence Intervals Uncovered: Are We Ready for Real-World Medical Imaging AI?
2024 · 9 Zit. · Lecture notes in computer science
Risk of Training Diagnostic Algorithms on Data with Demographic Bias
2020 · 6 Zit. · Lecture notes in computer science
In the Picture: Medical Imaging Datasets, Artifacts, and their Living Review
2025 · 5 Zit.
How I failed machine learning in medical imaging -- shortcomings and recommendations
2021 · 4 Zit. · arXiv (Cornell University)
Lessons from shortcomings in machine learning for medical imaging
2023 · 2 Zit. · OECD eBooks
A Survey of Crowdsourcing in Medical Image Analysis
2019 · 2 Zit. · arXiv (Cornell University)
False Promises in Medical Imaging AI? Assessing Validity of Outperformance Claims
2025 · 1 Zit. · ArXiv.org
Crowd annotations of visual features for 100 images from the ISIC 2017 lesion classification challenge
2018 · 0 Zit. · Figshare