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Amelia Jiménez-Sánchez
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2020 – today
- 2024
- [i12]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 abs/2402.03003 (2024) - [i11]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 abs/2402.06353 (2024) - [i10]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 abs/2403.04484 (2024) - 2023
- [j4]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: 107318 (2023) - [j3]Dovile Juodelyte, Amelia Jiménez-Sánchez, Veronika Cheplygina:
Revisiting Hidden Representations in Transfer Learning for Medical Imaging. Trans. Mach. Learn. Res. 2023 (2023) - [c4]Amelia Jiménez-Sánchez, Dovile Juodelyte, Bethany Chamberlain, Veronika Cheplygina:
Detecting Shortcuts in Medical Images - A Case Study in Chest X-Rays. ISBI 2023: 1-5 - [i9]Dovile Juodelyte, Amelia Jiménez-Sánchez, Veronika Cheplygina:
Revisiting Hidden Representations in Transfer Learning for Medical Imaging. CoRR abs/2302.08272 (2023) - [i8]Cathrine Damgaard, Trine Naja Eriksen, Dovile Juodelyte, Veronika Cheplygina, Amelia Jiménez-Sánchez:
Augmenting Chest X-ray Datasets with Non-Expert Annotations. CoRR abs/2309.02244 (2023) - 2022
- [j2]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: 102273 (2022) - [i7]Amelia Jiménez-Sánchez, Dovile Juodelyte, Bethany Chamberlain
, Veronika Cheplygina:
Detecting Shortcuts in Medical Images - A Case Study in Chest X-rays. CoRR abs/2211.04279 (2022) - 2021
- [b1]Amelia Jiménez-Sánchez:
Learning representations for medical image diagnosis: impact of curriculum training and architectural design. Pompeu Fabra University, Spain, 2021 - [i6]Amelia Jiménez-Sánchez, Mickael Tardy, Miguel Ángel González Ballester, Diana Mateus, Gemma Piella:
Memory-aware curriculum federated learning for breast cancer classification. CoRR abs/2107.02504 (2021) - 2020
- [j1]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): 847-857 (2020) - [i5]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 abs/2004.00482 (2020) - [i4]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 abs/2007.16102 (2020)
2010 – 2019
- 2019
- [c3]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: 694-702 - [i3]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 abs/1902.01338 (2019) - 2018
- [c2]Amelia Jiménez-Sánchez
, Shadi Albarqouni
, Diana Mateus
:
Capsule Networks Against Medical Imaging Data Challenges. CVII-STENT/LABELS@MICCAI 2018: 150-160 - [i2]Amelia Jiménez-Sánchez, Shadi Albarqouni, Diana Mateus:
Capsule Networks against Medical Imaging Data Challenges. CoRR abs/1807.07559 (2018) - [i1]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 abs/1809.10692 (2018) - 2017
- [c1]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: 70-78
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last updated on 2024-08-02 20:21 CEST by the dblp team
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