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Antonio Foncubierta Rodríguez
Antonio Foncubierta Rodríguez
IBM Research
Verified email at zurich.ibm.com - Homepage
Title
Cited by
Cited by
Year
Three-dimensional solid texture analysis in biomedical imaging: review and opportunities
A Depeursinge, A Foncubierta-Rodriguez, D Van De Ville, H Müller
Medical image analysis 18 (1), 176-196, 2014
2242014
Cloud-based evaluation of anatomical structure segmentation and landmark detection algorithms: VISCERAL anatomy benchmarks
O Jimenez-del-Toro, H Müller, M Krenn, K Gruenberg, AA Taha, ...
IEEE transactions on medical imaging 35 (11), 2459-2475, 2016
1722016
Ground truth generation in medical imaging: a crowdsourcing-based iterative approach
A Foncubierta Rodríguez, H Müller
Proceedings of the ACM multimedia 2012 workshop on Crowdsourcing for …, 2012
862012
Rotation–covariant texture learning using steerable Riesz wavelets
A Depeursinge, A Foncubierta-Rodriguez, D Van de Ville, H Müller
IEEE Transactions on Image Processing 23 (2), 898-908, 2013
602013
Lung texture classification using locally–oriented Riesz components
A Depeursinge, A Foncubierta-Rodriguez, D Van de Ville, H Müller
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2011: 14th …, 2011
552011
Multiscale lung texture signature learning using the Riesz transform
A Depeursinge, A Foncubierta–Rodriguez, D Van de Ville, H Müller
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2012: 15th …, 2012
512012
Quantifying explainers of graph neural networks in computational pathology
G Jaume, P Pati, B Bozorgtabar, A Foncubierta, AM Anniciello, F Feroce, ...
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021
442021
Using multiscale visual words for lung texture classification and retrieval
A Foncubierta-Rodríguez, A Depeursinge, H Müller
Medical Content-Based Retrieval for Clinical Decision Support: Second MICCAI …, 2012
412012
Separating compound figures in journal articles to allow for subfigure classification
A Chhatkuli, A Foncubierta-Rodríguez, D Markonis, F Meriaudeau, ...
Medical Imaging 2013: Advanced PACS-based Imaging Informatics and …, 2013
402013
Hact-net: A hierarchical cell-to-tissue graph neural network for histopathological image classification
P Pati, G Jaume, LA Fernandes, A Foncubierta-Rodríguez, F Feroce, ...
Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and …, 2020
372020
Towards explainable graph representations in digital pathology
G Jaume, P Pati, A Foncubierta-Rodriguez, F Feroce, G Scognamiglio, ...
arXiv preprint arXiv:2007.00311, 2020
312020
Crowdsourcing for medical image classification
A García Seco de Herrera, A Foncubierta-Rodríguez, D Markonis, ...
Swiss Medical Informatics, 2014
292014
Medical Image Retrieval using Bag of Meaningful Visual Words: Unsupervised visual vocabulary pruning with PLSA
A Foncubierta-Rodríguez, A García Seco de Herrera, H Müller
Workshop on Multimedia Information Indexing and Retrieval for Healthcare …, 2013
282013
Hierarchical graph representations in digital pathology
P Pati, G Jaume, A Foncubierta-Rodriguez, F Feroce, AM Anniciello, ...
Medical image analysis 75, 102264, 2022
272022
Overview of the VISCERAL retrieval benchmark 2015
OA Jiménez–del–Toro, A Hanbury, G Langs, A Foncubierta–Rodríguez, ...
Multimodal Retrieval in the Medical Domain: First International Workshop …, 2015
272015
Automatic detection of vessels in color fundus images
S Jiménez, P Alemany, I Fondón, A Foncubierta, B Acha, C Serrano
Archivos de la Sociedad Espańola de Oftalmología (English Edition) 85 (3 …, 2010
24*2010
Retrieval of high-dimensional visual data: current state, trends and challenges ahead
A Foncubierta-Rodríguez, H Müller, A Depeursinge
Multimedia Tools and Applications, 2013
212013
Overview of the VISCERAL Challenge at ISBI 2015.
O Goksel, A Foncubierta-Rodríguez, OAJ del Toro, H Müller, G Langs, ...
VISCERAL Challenge@ ISBI, 6-11, 2015
202015
Rotation-covariant texture analysis of 4D dual-energy CT as an indicator of local pulmonary perfusion
A Depeursinge, A Foncubierta-Rodríguez, A Vargas, D Van de Villey, ...
2013 IEEE 10th International Symposium on Biomedical Imaging, 145-148, 2013
202013
Learning whole-slide segmentation from inexact and incomplete labels using tissue graphs
V Anklin, P Pati, G Jaume, B Bozorgtabar, A Foncubierta-Rodriguez, ...
Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021
192021
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