Amelia Jiménez-Sánchez

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Diana MateusEcole Centrale NantesVerified email at ec-nantes.fr
Shadi AlbarqouniProfessor of Computational Medical Imaging Research @Uni. Bonn | AI Group Leader @HelmholtzMunichVerified email at ukbonn.de
Nassir NavabProfessor of Computer Science, Technische Universität MünchenVerified email at cs.tum.edu
Peter BiberthalerChair, Trauma Surgery, Klinikum rechts der Isar, Technische Universität MünchenVerified email at mri.tum.de
Anees KaziSenior Research Scientist, Computer Aided Medical Procedures (CAMP), TU MunichVerified email at tum.de
Gemma PiellaDepartment of Information and Communication Technologies, Universitat Pompeu Fabra, BarcelonaVerified email at upf.edu
Miguel A. González BallesterICREA - Universitat Pompeu FabraVerified email at upf.edu
Mickael TardyEcole Centrale de Nantes, Nantes, France; Hera-MI, SAS, Nantes, France;Verified email at ec-nantes.fr
Bernhard U. SeeberProfessor of Audio Information Processing, TU MünchenVerified email at tum.de
Turgut DurduranICREA professor @ ICFO-The Institute of Photonic SciencesVerified email at icfo.eu

Amelia Jiménez-Sánchez

PhD Researcher at Universitat Pompeu Fabra

Verified email at upf.edu - Homepage

Deep Learning Medical Imaging Curriculum Learning Federated Learning


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Capsule networks against medical imaging data challenges A Jiménez-Sánchez, S Albarqouni, D Mateus Intravascular imaging and computer assisted stenting and large-scale …, 2018	80	2018
Automatic classification of proximal femur fractures based on attention models A Kazi, S Albarqouni, AJ Sanchez, S Kirchhoff, P Biberthaler, N Navab, ... International Workshop on Machine Learning in Medical Imaging, 70-78, 2017	24	2017
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 (5), 847-857, 2020	20*	2020
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	19	2019
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	9	2018
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	4*	2021
Memory-aware curriculum federated learning for breast cancer classification A Jiménez-Sánchez, M Tardy, MAG Ballester, D Mateus, G Piella arXiv preprint arXiv:2107.02504, 2021	4	2021
Learning representations for medical image diagnosis: impact of curriculum training and architectural design A Jiménez Sánchez Universitat Pompeu Fabra, 2021		2021
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		2021
Weakly-Supervised Localization and Classificationof Proximal Femur Fractures A Kazi, A Jiménez-Sánchez, S Albarqouni, C Kirchhoff, P Biberthaler, ... arXiv preprint arXiv: 1809.10692, 2018		2018
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

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