| Capsule networks against medical imaging data challenges A Jiménez-Sánchez, S Albarqouni, D Mateus Intravascular Imaging and Computer Assisted Stenting and Large-Scale …, 2018 | 117* | 2018 |
| Memory-aware curriculum federated learning for breast cancer classification A Jiménez-Sánchez, M Tardy, MAG Ballester, D Mateus, G Piella Computer Methods and Programs in Biomedicine 229, 107318, 2023 | 70 | 2023 |
| Medical-based deep curriculum learning for improved fracture classification A Jiménez-Sánchez, D Mateus, S Kirchhoff, C Kirchhoff, P Biberthaler, ... International Conference on Medical Image Computing and Computer-Assisted …, 2019 | 43* | 2019 |
| Precise proximal femur fracture classification for interactive training and surgical planning A Jiménez-Sánchez, A Kazi, S Albarqouni, C Kirchhoff, P Biberthaler, ... International journal of computer assisted radiology and surgery 15, 847-857, 2020 | 42* | 2020 |
| Automatic classification of proximal femur fractures based on attention models A Kazi, S Albarqouni, AJ Sanchez, S Kirchhoff, P Biberthaler, N Navab, ... Machine Learning in Medical Imaging: 8th International Workshop, MLMI 2017 …, 2017 | 34 | 2017 |
| Curriculum learning for improved femur fracture classification: scheduling data with prior knowledge and uncertainty A Jiménez-Sánchez, D Mateus, S Kirchhoff, C Kirchhoff, P Biberthaler, ... Medical Image Analysis, 102273, 2021 | 21* | 2021 |
| Weakly-supervised localization and classification of proximal femur fractures A Jiménez-Sánchez, A Kazi, S Albarqouni, S Kirchhoff, A Sträter, ... arXiv preprint arXiv:1809.10692, 2018 | 15 | 2018 |
| Detecting shortcuts in medical images-a case study in chest x-rays A Jiménez-Sánchez, D Juodelyte, B Chamberlain, V Cheplygina 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), 1-5, 2023 | 7 | 2023 |
| Augmenting chest x-ray datasets with non-expert annotations C Damgaard, TN Eriksen, D Juodelyte, V Cheplygina, ... arXiv preprint arXiv:2309.02244, 2023 | 2 | 2023 |
| Revisiting hidden representations in transfer learning for medical imaging D Juodelyte, A Jiménez-Sánchez, V Cheplygina arXiv preprint arXiv:2302.08272, 2023 | 2 | 2023 |
| Non-invasive estimation of intracranial pressure by fast diffuse correlation spectroscopy: a multi-center study JB Fischer, S Tagliabue, F Maruccia, A Jiménez-Sánchez, E Sathialingam, ... Optical Tomography and Spectroscopy of Tissue XIV 11639, 1163912, 2021 | 1 | 2021 |
| Source Matters: Source Dataset Impact on Model Robustness in Medical Imaging D Juodelyte, Y Lu, A Jiménez-Sánchez, S Bottazzi, E Ferrante, ... arXiv preprint arXiv:2403.04484, 2024 | | 2024 |
| Towards actionability for open medical imaging datasets: lessons from community-contributed platforms for data management and stewardship A Jiménez-Sánchez, NR Avlona, D Juodelyte, T Sourget, C Vang-Larsen, ... arXiv preprint arXiv:2402.06353, 2024 | | 2024 |
| [Citation needed] Data usage and citation practices in medical imaging conferences T Sourget, A Akkoç, S Winther, CL Galsgaard, A Jiménez-Sánchez, ... arXiv preprint arXiv:2402.03003, 2024 | | 2024 |
| Learning representations for medical image diagnosis: impact of curriculum training and architectural design AJ Sánchez | | 2021 |
| Medical-based Deep Curriculum Learning for Improved Fracture Classification AJ Sánchez, D Mateus, S Kirchhoff, C Kirchhoff, P Biberthaler, N Navab, ... International Conference on Medical Image Computing and Computer-Assisted …, 2019 | | 2019 |
| Temporal weighting of interaural level differences B Seeber, AJ Sanchez, A Wijetillake, M Takanen Fortschritte der Akustik--DAGA'16, 2016 | | 2016 |
| Interaural level differences are dominantly evaluated prior to modulation maxima BU Seeber, AJ Sánchez, A Wijetillake, M Takanen Abstracts of the 39th Annual MidWinter Meeting of the Association for …, 2016 | | 2016 |
Diana MateusEcole Centrale Nantes / LS2N在 ec-nantes.fr 的电子邮件经过验证
