Publications
Towards actionability for open medical imaging datasets: lessons from community-contributed platforms for data management and stewardship
Amelia Jiménez-Sánchez, Natalia-Rozalia Avlona, Dovile Juodelyte, Théo Sourget, Caroline Vang-Larsen, Hubert Dariusz Zając, Veronika Cheplygina
arXiv 2024
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Source Matters: Source Dataset Impact on Model Robustness in Medical Imaging
Dovile Juodelyte, Yucheng Lu, Amelia Jiménez-Sánchez, Sabrina Bottazzi, Enzo Ferrante, Veronika Cheplygina
arXiv 2024
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[Citation needed] Data usage and citation practices in medical imaging conferences
Théo Sourget, Ahmet Akkoç, Stinna Winther, Christine Lyngbye Galsgaard, Amelia Jiménez-Sánchez, Dovile Juodelyte, Caroline Petitjean, Veronika Cheplygina
arXiv 2024
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Augmenting Chest X-ray Datasets with Non-Expert Annotations
Cathrine Damgaard, Trine Naja Eriksen, Dovile Juodelyte, Veronika Cheplygina, Amelia Jiménez-Sánchez
arXiv 2023
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Revisiting Hidden Representations in Transfer Learning for Medical Imaging
Dovile Juodelyte, Amelia Jiménez-Sánchez, Veronika Cheplygina
Transactions on Machine Learning Research
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Detecting Shortcuts in Medical Images — A Case Study in Chest X-rays
Amelia Jiménez-Sánchez, Dovile Juodelyte, Bethany Chamberlain, Veronika Cheplygina
ISBI 2023
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Memory-aware curriculum federated learning for breast cancer classification
Amelia Jiménez-Sánchez, Mickael Tardy, Miguel A. González Ballester, Diana Mateus, Gemma Piella
Computer Methods and Programs in Biomedicine
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Curriculum Learning for Improved Femur Fracture Classification: Scheduling Data with Prior Knowledge and Uncertainty
Amelia Jiménez-Sánchez, Diana Mateus, Sonja Kirchhoff, Chlodwig Kirchhoff, Peter Biberthaler, Nassir Navab, Miguel A. González Ballester, Gemma Piella
Medical Image Analysis 2021
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Precise Proximal Femur Fracture Classification for Interactive Training and Surgical Planning
Amelia Jiménez-Sánchez, Anees Kazi, Shadi Albarqouni, Chlodwig Kirchhoff, Peter Biberthaler, Nassir Navab, Sonja Kirchhoff, Diana Mateus
IPCAI 2020 – IJCARS
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Medical-based Deep Curriculum Learning for Improved Fracture Classification
Amelia Jiménez-Sánchez, Diana Mateus, Sonja Kirchhoff, Chlodwig Kirchhoff, Peter Biberthaler, Nassir Navab, Miguel A. González Ballester, Gemma Piella
MICCAI 2019
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Capsule Networks against Medical Imaging Data Challenges
Amelia Jiménez-Sánchez, Shadi Albarqouni, Diana Mateus
LABELS -- MICCAI 2018
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Automatic Classification of Proximal Femur Fractures based on Attention Models
Anees Kazi, Shadi Albarqouni, Amelia Jiménez-Sánchez, Sonja Kirchhoff, Peter Biberthaler, Nassir Navab, Diana Mateus
MLMI -- MICCAI 2017
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Learning Representations for Medical Image Diagnosis: Impact of Curriculum Training and Architectural Design
Amelia Jiménez-Sánchez
Pompeu Fabra University (PhD Thesis)
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You can also find my articles on my Google Scholar profile.