Amelia Jiménez-Sánchez

IT University of Copenhagen — Denmark

Medicine · Health Sciences

7h-index349citations32works1.52yr avg
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Research Topics

Radiomics and Machine Learning in Medical Imaging(16), AI in cancer detection(15), COVID-19 diagnosis using AI(13), Artificial Intelligence in Healthcare and Education(12), Hip and Femur Fractures(4)

Publications32 total

Medical Imaging AI Competitions Lack Fairness
ArXiv.org·2025Open Access
Medical Imaging AI Competitions Lack Fairness
arXiv (Cornell University)·2025Open Access
Intuitions of Machine Learning Researchers about Transfer Learning for Medical Image Classification
arXiv (Cornell University)·2025Open Access
Augmenting Chest X-ray Datasets with Non-Expert Annotations
Lecture notes in computer science·2025
In the Picture: Medical Imaging Datasets, Artifacts, and their Living Review
2025· 5 citedOpen Access
Mask of Truth: Model Sensitivity to Unexpected Regions of Medical Images
Journal of Imaging Informatics in Medicine·2025· 1 citedOpen Access
In the Picture: Medical Imaging Datasets, Artifacts, and their Living Review
arXiv (Cornell University)·2025· 1 citedOpen Access
Source Matters: Source Dataset Impact on Model Robustness in Medical Imaging
Lecture notes in computer science·2025· 8 cited
Mask of truth: model sensitivity to unexpected regions of medical images
arXiv (Cornell University)·2024Open Access
Source Matters: Source Dataset Impact on Model Robustness in Medical Imaging
arXiv (Cornell University)·2024· 1 citedOpen Access
Copycats: the many lives of a publicly available medical imaging dataset
arXiv (Cornell University)·2024· 2 citedOpen Access
[Citation needed] Data usage and citation practices in medical imaging conferences
arXiv (Cornell University)·2024· 1 citedOpen Access
Copycats: the many lives of a publicly available medical imaging dataset
2024Open Access
Augmenting Chest X-ray Datasets with Non-Expert Annotations
arXiv (Cornell University)·2023· 1 citedOpen Access
Detecting Shortcuts in Medical Images - A Case Study in Chest X-Rays
2023· 24 citedOpen Access
Revisiting Hidden Representations in Transfer Learning for Medical Imaging
arXiv (Cornell University)·2023· 2 citedOpen Access
Memory-aware curriculum federated learning for breast cancer classification
Computer Methods and Programs in Biomedicine·2022· 102 citedOpen Access
Detecting Shortcuts in Medical Images -- A Case Study in Chest X-rays
arXiv (Cornell University)·2022Open Access
Curriculum learning for improved femur fracture classification: Scheduling data with prior knowledge and uncertainty
Medical Image Analysis·2021· 23 citedOpen Access
Memory-aware curriculum federated learning for breast cancer classification
arXiv (Cornell University)·2021· 2 citedOpen Access
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Frequent Co-authors

Veronika Cheplygina(15), Diana Mateus(12), Dovile Juodelyte(12), Peter Biberthaler(8), Nassir Navab(8), Shadi Albarqouni(7), Théo Sourget(7), Gemma Piella(6), Chlodwig Kirchhoff(6), Sonja Kirchhoff(6), Anees Kazi(5), Hubert Dariusz Zając(5), Miguel Á. González Ballester(4), Sabrina Bottazzi(4), Enzo Ferrante(4), Tim Rädsch(4), Natalia-Rozalia Avlona(3), Mickael Tardy(2), Bethany Chamberlain(2), Yucheng Lu(2)