Amelia Jiménez-Sánchez

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 20

Top Topics

Medical Imaging

Medical Image Analysis

Top Venues

Medical Image Anal.

CVII-STENT/LABELS@MICCAI

Publications

Théo Sourget, Ahmet Akkoç, Stinna Winther, Christine Lyngbye Galsgaard, Amelia Jiménez-Sánchez, Dovile Juodelyte, Caroline Petitjean, Veronika Cheplygina
[Citation needed] Data usage and citation practices in medical imaging conferences. CoRR (2024)
Dovile Juodelyte, Yucheng Lu, Amelia Jiménez-Sánchez, Sabrina Bottazzi, Enzo Ferrante, Veronika Cheplygina
Source Matters: Source Dataset Impact on Model Robustness in Medical Imaging. CoRR (2024)
Amelia Jiménez-Sánchez, Natalia Rozalia Avlona, Dovile Juodelyte, Théo Sourget, Caroline Vang-Larsen, Hubert Dariusz Zajac, Veronika Cheplygina
Towards actionability for open medical imaging datasets: lessons from community-contributed platforms for data management and stewardship. CoRR (2024)
Dovile Juodelyte, Amelia Jiménez-Sánchez, Veronika Cheplygina
Revisiting Hidden Representations in Transfer Learning for Medical Imaging. Trans. Mach. Learn. Res. 2023 (2023)
Cathrine Damgaard, Trine Naja Eriksen, Dovile Juodelyte, Veronika Cheplygina, Amelia Jiménez-Sánchez
Augmenting Chest X-ray Datasets with Non-Expert Annotations. CoRR (2023)
Amelia Jiménez-Sánchez, Mickael Tardy, Miguel Ángel González Ballester, Diana Mateus, Gemma Piella
Memory-aware curriculum federated learning for breast cancer classification. Comput. Methods Programs Biomed. 229 (2023)
Amelia Jiménez-Sánchez, Dovile Juodelyte, Bethany Chamberlain, Veronika Cheplygina
Detecting Shortcuts in Medical Images - A Case Study in Chest X-Rays. ISBI (2023)
Dovile Juodelyte, Amelia Jiménez-Sánchez, Veronika Cheplygina
Revisiting Hidden Representations in Transfer Learning for Medical Imaging. CoRR (2023)
Amelia Jiménez-Sánchez, Dovile Juodelyte, Bethany Chamberlain, Veronika Cheplygina
Detecting Shortcuts in Medical Images - A Case Study in Chest X-rays. CoRR (2022)
Amelia Jiménez-Sánchez, Diana Mateus, Sonja Kirchhoff, Chlodwig Kirchhoff, Peter Biberthaler, Nassir Navab, Miguel Ángel González Ballester, Gemma Piella
Curriculum learning for improved femur fracture classification: Scheduling data with prior knowledge and uncertainty. Medical Image Anal. 75 (2022)
Amelia Jiménez-Sánchez, Mickael Tardy, Miguel Ángel González Ballester, Diana Mateus, Gemma Piella
Memory-aware curriculum federated learning for breast cancer classification. CoRR (2021)
Amelia Jiménez-Sánchez, Anees Kazi, Shadi Albarqouni, Chlodwig Kirchhoff, Peter Biberthaler, Nassir Navab, Sonja Kirchhoff, Diana Mateus
Precise proximal femur fracture classification for interactive training and surgical planning. Int. J. Comput. Assist. Radiol. Surg. 15 (5) (2020)
Amelia Jiménez-Sánchez, Diana Mateus, Sonja Kirchhoff, Chlodwig Kirchhoff, Peter Biberthaler, Nassir Navab, Miguel Ángel González Ballester, Gemma Piella
Medical-based Deep Curriculum Learning for Improved Fracture Classification. CoRR (2020)
Amelia Jiménez-Sánchez, Diana Mateus, Sonja Kirchhoff, Chlodwig Kirchhoff, Peter Biberthaler, Nassir Navab, Miguel Ángel González Ballester, Gemma Piella
Curriculum learning for annotation-efficient medical image analysis: scheduling data with prior knowledge and uncertainty. CoRR (2020)
Amelia Jiménez-Sánchez, Diana Mateus, Sonja Kirchhoff, Chlodwig Kirchhoff, Peter Biberthaler, Nassir Navab, Miguel Ángel González Ballester, Gemma Piella
Medical-based Deep Curriculum Learning for Improved Fracture Classification. MICCAI (6) (2019)
Amelia Jiménez-Sánchez, Anees Kazi, Shadi Albarqouni, Chlodwig Kirchhoff, Peter Biberthaler, Nassir Navab, Diana Mateus, Sonja Kirchhoff
Towards an Interactive and Interpretable CAD System to Support Proximal Femur Fracture Classification. CoRR (2019)
Amelia Jiménez-Sánchez, Anees Kazi, Shadi Albarqouni, Sonja Kirchhoff, Alexandra Sträter, Peter Biberthaler, Diana Mateus, Nassir Navab
Weakly-Supervised Localization and Classification of Proximal Femur Fractures. CoRR (2018)
Amelia Jiménez-Sánchez, Shadi Albarqouni, Diana Mateus
Capsule Networks Against Medical Imaging Data Challenges. CVII-STENT/LABELS@MICCAI (2018)
Amelia Jiménez-Sánchez, Shadi Albarqouni, Diana Mateus
Capsule Networks against Medical Imaging Data Challenges. CoRR (2018)
Anees Kazi, Shadi Albarqouni, Amelia Jiménez-Sánchez, Sonja Kirchhoff, Peter Biberthaler, Nassir Navab, Diana Mateus
Automatic Classification of Proximal Femur Fractures Based on Attention Models. MLMI@MICCAI (2017)